[Issue]: AttributeError: 'ParameterDict' object has no attribute '{lora-name}' #3465

MysticDaedra · 2024-10-01T03:47:10Z

Issue Description

I've been having this issue since yesterday, at least. Image generation hangs after hitting Generate, and finally 10-ish minutes later this error comes up.

Version Platform Description

Windows 11 Professional 10-10.0.22631-SP0
RTX 3070 8gb
Mozilla Firefox
dev 684263c
Python 3.11.8, PyTorch 2.4.1+cpu, Diffusers 0.31.0.dev0, Gradio 3.43.2, Transformers 4.44.2, Accelerate 0.34.2, ONNX 1.19.2

I don't see CUDA mentioned, except that the Torch override is set to False. Hmm?

Relevant log output

Using VENV: D:\automatic\venv
20:04:48-308125 INFO     Starting SD.Next
20:04:48-321639 INFO     Logger: file="D:\automatic\sdnext.log" level=DEBUG size=65 mode=create
20:04:48-323646 INFO     Python: version=3.11.8 platform=Windows bin="D:\automatic\venv\Scripts\Python.exe"
                         venv="D:\automatic\venv"
20:04:49-495470 INFO     Version: app=sd.next updated=2024-09-30 hash=684263c1 branch=dev
                         url=https://github.com/vladmandic/automatic/tree/dev ui=dev
20:04:50-397715 INFO     Updating main repository
20:04:54-201468 INFO     Repository upgraded: 684263c1 Mon Sep 30 16:37:34 2024 -0400
20:04:54-233280 INFO     Platform: arch=AMD64 cpu=AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD system=Windows
                         release=Windows-10-10.0.22631-SP0 python=3.11.8
20:04:54-235283 DEBUG    Setting environment tuning
20:04:54-236781 DEBUG    Torch allocator:
                         "garbage_collection_threshold:0.25,max_split_size_mb:512,backend:cudaMallocAsync"
20:04:54-255307 DEBUG    Torch overrides: cuda=False rocm=False ipex=False diml=False openvino=False zluda=False
20:04:54-271315 INFO     CUDA: nVidia toolkit detected
20:04:54-541799 INFO     Verifying requirements
20:04:54-550311 INFO     Verifying packages
20:04:54-550811 INFO     Startup: standard
20:04:54-551812 INFO     Verifying submodules
20:05:01-627284 DEBUG    Git submodule: extensions-builtin/sd-extension-chainner / main
20:05:02-663334 DEBUG    Git submodule: extensions-builtin/sd-extension-system-info / main
20:05:03-835155 DEBUG    Git submodule: extensions-builtin/sd-webui-agent-scheduler / main
20:05:04-898821 DEBUG    Git submodule: extensions-builtin/sdnext-modernui / dev
20:05:05-941261 DEBUG    Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master
20:05:07-086198 DEBUG    Git submodule: modules/k-diffusion / master
20:05:08-088776 DEBUG    Git submodule: wiki / master
20:05:09-244208 DEBUG    Register paths
20:05:09-329286 DEBUG    Installed packages: 216
20:05:09-330790 DEBUG    Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg']
20:05:10-176508 DEBUG    Git submodule: extensions-builtin\sd-extension-chainner / main
20:05:11-372684 DEBUG    Git submodule: extensions-builtin\sd-extension-system-info / main
20:05:12-447989 DEBUG    Git submodule: extensions-builtin\sd-webui-agent-scheduler / main
20:05:13-338063 DEBUG    Extension installer: D:\automatic\extensions-builtin\sd-webui-agent-scheduler\install.py
20:05:17-970887 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-images-browser / main
20:05:18-924149 DEBUG    Extension installer:
                         D:\automatic\extensions-builtin\stable-diffusion-webui-images-browser\install.py
20:05:21-580964 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-rembg / master
20:05:22-484415 DEBUG    Extension installer: D:\automatic\extensions-builtin\stable-diffusion-webui-rembg\install.py
20:05:31-001071 DEBUG    Extensions all: ['adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'sd-webui-temporal', 'ultimate-upscale-for-automatic1111']
20:05:31-115102 DEBUG    Git submodule: extensions\adetailer / main
20:05:32-100945 DEBUG    Extension installer: D:\automatic\extensions\adetailer\install.py
20:05:32-523846 DEBUG    Git submodule: extensions\canvas-zoom / main
20:05:33-471342 DEBUG    Extension installer: D:\automatic\extensions\canvas-zoom\install.py
20:05:43-347165 DEBUG    Git submodule: extensions\sd-webui-infinite-image-browsing / main
20:05:44-270574 DEBUG    Extension installer: D:\automatic\extensions\sd-webui-infinite-image-browsing\install.py
20:06:05-546911 DEBUG    Git submodule: extensions\sd-webui-temporal / master
20:06:06-690952 DEBUG    Git submodule: extensions\ultimate-upscale-for-automatic1111 / master
20:06:07-638167 INFO     Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg', 'adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'sd-webui-temporal', 'ultimate-upscale-for-automatic1111']
20:06:07-639668 INFO     Verifying requirements
20:06:07-640668 INFO     Updating Wiki
20:06:07-743365 DEBUG    Git submodule: D:\automatic\wiki / master
20:06:08-687063 DEBUG    Setup complete without errors: 1727751969
20:06:08-695575 DEBUG    Extension preload: {'extensions-builtin': 0.0, 'extensions': 0.0}
20:06:08-696574 DEBUG    Starting module: <module 'webui' from 'D:\\automatic\\webui.py'>
20:06:08-698074 INFO     Command line args: ['--medvram', '--debug', '--upgrade', '--share'] medvram=True share=True
                         upgrade=True debug=True
20:06:08-699074 DEBUG    Env flags: ['SD_MASK_DEBUG=true']
20:06:21-238201 INFO     Load packages: {'torch': '2.4.1+cpu', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
                         'transformers': '4.44.2', 'accelerate': '0.34.2'}
20:06:22-623601 DEBUG    Huggingface cache: folder="C:\Users\Joshua\.cache\huggingface\hub"
20:06:22-642122 DEBUG    Read: file="config.json" json=84 bytes=5279 time=0.000
20:06:22-643621 DEBUG    Unknown settings: ['cross_attention_options', 'ad_max_models', 'civitai_link_key',
                         'multiple_tqdm', 'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score', 'image_browser_active_tabs', 'ad_extra_models_dir',
                         'canvas_zoom_mask_clear', 'canvas_zoom_draw_staight_lines', 'ad_script_names']
20:06:22-645622 INFO     Engine: backend=Backend.DIFFUSERS compute=None device=cpu attention="Scaled-Dot-Product"
                         mode=no_grad
20:06:22-653132 DEBUG    Read: file="html\reference.json" json=52 bytes=29118 time=0.006
20:06:23-964647 TRACE    Trace: MASK
20:06:24-232130 DEBUG    ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['AzureExecutionProvider',
                         'CPUExecutionProvider']
20:06:24-370511 INFO     Device:
20:06:24-545255 DEBUG    Importing LDM
20:06:24-573281 DEBUG    Entering start sequence
20:06:24-578281 DEBUG    Initializing
20:06:24-627179 INFO     Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=4
20:06:24-628680 INFO     Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
20:06:24-629680 INFO     Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
20:06:24-631684 INFO     Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
20:06:24-642604 DEBUG    Read: file="cache.json" json=2 bytes=180321 time=0.008
20:06:24-704699 DEBUG    Read: file="metadata.json" json=1637 bytes=19782667 time=0.061
20:06:24-746243 DEBUG    Scanning diffusers cache: folder="D:\Stable Diffusion Files\Models\Diffusers" items=4 time=0.00
20:06:24-747742 INFO     Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=33 time=0.11
20:06:24-855999 DEBUG    Load extensions
20:06:24-976630 INFO     Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
                         [2;36m20:06:24-972128[0m[2;36m [0m[34mINFO    [0m Available LoRAs: [33mitems[0m=[1;36m112[0m
                         [33mfolders[0m=[1;36m2[0m
20:06:25-650801 INFO     Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using
                         sqlite file: extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3
20:06:26-107632 INFO     Extension: script='extensions\adetailer\scripts\!adetailer.py' [-] ADetailer initialized.
                         version: 24.9.0, num models: 20
20:06:26-170048 ERROR    Module load: extensions\sd-webui-temporal\scripts\temporal.py: ModuleNotFoundError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\automatic\modules\script_loading.py:25 in load_module                                                             │
│                                                                                                                      │
│   24 │   │   │   │   with contextlib.redirect_stdout(io.StringIO()) as stdout:                                       │
│ ❱ 25 │   │   │   │   │   module_spec.loader.exec_module(module)                                                      │
│   26 │   │   │   setup_logging() # reset since scripts can hijaack logging                                           │
│ in exec_module:940                                                                                                   │
│ in _call_with_frames_removed:241                                                                                     │
│                                                                                                                      │
│ D:\automatic\extensions\sd-webui-temporal\scripts\temporal.py:7 in <module>                                          │
│                                                                                                                      │
│     6 from modules import scripts, shared as webui_shared                                                            │
│ ❱   7 from modules.options import Options                                                                            │
│     8 from modules.processing import Processed, StableDiffusionProcessingImg2Img, fix_seed                           │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
ModuleNotFoundError: No module named 'modules.options'
20:06:26-219664 DEBUG    Extensions init time: 1.36 sd-extension-chainner=0.07 sd-webui-agent-scheduler=0.60
                         stable-diffusion-webui-images-browser=0.21 adetailer=0.25 sd-webui-infinite-image-browsing=0.06
20:06:26-250706 DEBUG    Read: file="html/upscalers.json" json=4 bytes=2672 time=0.006
20:06:26-262732 DEBUG    Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.010
20:06:26-267731 DEBUG    chaiNNer models: path="D:\Stable Diffusion Files\Models\chaiNNer" defined=24 discovered=8
                         downloaded=16
20:06:26-270731 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN"
                         model="4x_foolhardy_Remacri" path="D:\Stable Diffusion
                         Files\Models\ESRGAN\4x_foolhardy_Remacri.pth"
20:06:26-272739 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN" model="4x_NMKD-Siax_200k"
                         path="D:\Stable Diffusion Files\Models\ESRGAN\4x_NMKD-Siax_200k.pth"
20:06:26-276239 DEBUG    Upscaler type=SwinIR folder="D:\Stable Diffusion Files\Models\SwinIR" model="SwinIR_4x"
                         path="D:\Stable Diffusion Files\Models\SwinIR\SwinIR_4x.pth"
20:06:26-280243 INFO     Available Upscalers: items=64 downloaded=29 user=11 time=0.06 types=['None', 'Lanczos',
                         'Nearest', 'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
20:06:26-762332 INFO     Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.48
20:06:26-768831 DEBUG    Creating UI
20:06:26-770330 DEBUG    UI themes available: type=Standard themes=12
20:06:26-770829 INFO     UI theme: type=Standard name="invoked"
20:06:26-780837 DEBUG    UI theme: css="D:\automatic\javascript\invoked.css" base="sdnext.css" user="None"
20:06:26-784947 DEBUG    UI initialize: txt2img
20:06:26-942267 DEBUG    Networks: page='model' items=84 subfolders=4 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Checkpoints', 'D:\\Stable Diffusion Files\\Models\\Diffusers',
                         'models\\Reference'] list=0.05 thumb=0.02 desc=0.00 info=0.04 workers=4 sort=Date [Newest]
20:06:26-956782 DEBUG    Networks: page='lora' items=112 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Loras', 'D:\\Stable Diffusion Files\\Models\\LyCORIS'] list=0.14 thumb=0.02
                         desc=0.02 info=0.38 workers=4 sort=Date [Newest]
20:06:26-990334 DEBUG    Networks: page='style' items=297 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Styles', 'html'] list=0.03 thumb=0.01 desc=0.00 info=0.00 workers=4 sort=Date
                         [Newest]
20:06:26-995351 DEBUG    Networks: page='embedding' items=18 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Embeddings'] list=0.07 thumb=0.01 desc=0.00 info=0.05 workers=4 sort=Date
                         [Newest]
20:06:26-998849 DEBUG    Networks: page='vae' items=4 subfolders=0 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\VAE'] list=0.01 thumb=0.01 desc=0.00 info=0.01 workers=4 sort=Date [Newest]
20:06:27-378495 DEBUG    UI initialize: img2img
20:06:27-586308 DEBUG    UI initialize: control models=D:\Stable Diffusion Files\Models\Control
20:06:28-005019 DEBUG    Read: file="ui-config.json" json=145 bytes=8711 time=0.006
20:06:28-122240 DEBUG    UI themes available: type=Standard themes=12
20:06:36-562619 DEBUG    Extension list: processed=353 installed=13 enabled=11 disabled=2 visible=353 hidden=0
20:06:36-752867 DEBUG    Root paths: ['D:\\automatic']
20:06:38-262982 INFO     Local URL: http://127.0.0.1:7860/
20:06:38-263982 INFO     Share URL: https://f96e42637f6398242a.gradio.live
20:06:38-264982 DEBUG    Gradio functions: registered=3939
20:06:38-267982 DEBUG    FastAPI middleware: ['Middleware', 'Middleware']
20:06:38-271988 DEBUG    Creating API
20:06:38-756748 INFO     [AgentScheduler] Task queue is empty
20:06:38-757747 INFO     [AgentScheduler] Registering APIs
IIB Database file has been successfully backed up to the backup folder.
20:06:39-013680 DEBUG    Scripts setup: ['IP Adapters:0.024', 'XYZ Grid:0.013', 'ADetailer:0.281', 'Face:0.015',
                         'AnimateDiff:0.007', 'CogVideoX:0.007', 'Ctrl-X:0.005', 'LUT Color grading:0.007', 'X/Y/Z
                         Grid:0.011', 'Image-to-Video:0.007', 'Stable Video Diffusion:0.005', 'Ultimate SD
                         upscale:0.007']
20:06:39-015681 DEBUG    Model metadata: file="metadata.json" no changes
20:06:39-017679 DEBUG    Model requested: fn=<lambda>
20:06:39-108796 INFO     Torch parameters: backend=cpu device=cpu config=FP16 dtype=torch.float16 vae=torch.float16
                         unet=torch.float16 context=inference_mode nohalf=False nohalfvae=False upscast=False
                         deterministic=True test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
20:06:39-110295 INFO     Load model: select="STOIQOAfroditeXL_XL31 [03757fdcc3]"
20:06:39-111860 DEBUG    Load model: existing=False target=D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors info=None
20:06:39-113359 DEBUG    Load model: path="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors"
20:06:39-114358 INFO     Autodetect model: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
20:06:39-115857 INFO     Autodetect vae: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
20:06:39-116857 INFO     Load module: type=VAE model="D:\Stable Diffusion
                         Files\Models\VAE\fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors" source=settings
                         config={'low_cpu_mem_usage': False, 'torch_dtype': torch.float16, 'use_safetensors': True,
                         'variant': 'fp16', 'force_upcast': False, 'config': 'configs/sdxl\\vae'}
Diffusers  5.40it/s ████████ 100% 7/7 00:01 00:00 Loading pipeline components...
20:06:42-160584 DEBUG    Setting model: pipeline=StableDiffusionXLPipeline config={'low_cpu_mem_usage': True,
                         'torch_dtype': torch.float16, 'load_connected_pipeline': True, 'extract_ema': True, 'config':
                         'configs/sdxl', 'use_safetensors': True, 'cache_dir':
                         'C:\\Users\\Joshua\\.cache\\huggingface\\hub', 'force_upcast': False}
20:06:45-684068 INFO     Load network: type=embeddings loaded=14 skipped=4 time=3.52
20:06:45-685567 DEBUG    Setting model: component=VAE name="fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors"
20:06:45-686571 DEBUG    Setting model: component=VAE upcast=False
20:06:45-687568 DEBUG    Setting model: component=VAE slicing=True
20:06:45-688567 DEBUG    Setting model: component=VAE tiling=True
20:06:45-689567 DEBUG    Setting model: attention="Scaled-Dot-Product"
20:06:45-711588 DEBUG    Setting model: offload=model
20:06:45-743743 DEBUG    Read: file="D:\automatic\configs\sdxl\vae\config.json" json=15 bytes=674 time=0.000
20:06:46-050630 DEBUG    GC: utilization={'gpu': 0, 'ram': 6, 'threshold': 25} gc={'collected': 7997, 'saved': 0}
                         before={'gpu': 0, 'ram': 1.95} after={'gpu': 0, 'ram': 1.95, 'retries': 0, 'oom': 0} device=cpu
                         fn=load_diffuser time=0.3
20:06:46-060138 INFO     Load model: time=6.63 load=3.05 embeddings=3.52 native=1024 memory={'ram': {'used': 1.95,
                         'total': 31.9}}
20:06:46-062652 DEBUG    Script callback init time: image_browser.py:ui_tabs=4.33 system-info.py:app_started=0.35
                         task_scheduler.py:app_started=0.29
20:06:46-064149 DEBUG    Save: file="config.json" json=84 bytes=5124 time=0.002
20:06:46-065150 INFO     Startup time: 37.36 torch=10.63 accelerate=0.10 gradio=1.12 diffusers=0.22 libraries=3.78
                         samplers=0.05 extensions=1.36 models=0.12 face-restore=0.11 upscalers=0.06 networks=0.49
                         ui-networks=0.34 ui-txt2img=0.36 ui-img2img=0.17 ui-control=0.24 ui-settings=0.30
                         ui-extensions=8.29 ui-defaults=0.10 launch=1.59 api=0.08 app-started=0.66 checkpoint=7.05
20:06:46-067149 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
20:08:00-092174 DEBUG    Server: alive=True jobs=1 requests=2 uptime=98 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:09:50-041093 INFO     MOTD: N/A
20:10:00-277811 DEBUG    Server: alive=True jobs=1 requests=7 uptime=218 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:10:01-484617 DEBUG    UI themes available: type=Standard themes=12
20:11:51-970638 INFO     Browser session: user=None client=127.0.0.1 agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64;
                         rv:130.0) Gecko/20100101 Firefox/130.0
20:12:00-316513 DEBUG    Server: alive=True jobs=1 requests=173 uptime=338 memory=1.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:12:21-102484 DEBUG    Gallery: folder="D:\Stable Diffusion Files\Outputs\text" files=463 time=0.039
20:12:27-589858 DEBUG    Paste prompt: type="current" prompt="(full body photograph) of young lolita girl teenCla1re
                         (blonde hair large breasts tiny waist), wearing sweetegl dress, tights, mary jane heels
                         <lora:sweetlolitaXLv6:0.8> <lora:teenCla1rev1:0.8>
                         Steps: 45, Sampler: DPM++ 3M SDE, Schedule type: Beta, CFG scale: 4, Seed: 4016421155, Size:
                         768x1152, Model hash: 2c6435d567, Model: STOIQOAfroditeXL_XL31, Denoising strength: 0.45,
                         ADetailer model: person_yolov8s-seg.pt, ADetailer prompt: "young lolita girl teenCla1re,
                         wearing an over the top sweetegl dress with lots of lace and bows and print and patterns,
                         patterned tights, ostentatious mary jane heels, highly detailed, <lora:sweetlolitaXLv6:1.0>
                         <lora:teenCla1rev1:0.8>", ADetailer negative prompt: NDXL, ADetailer confidence: 0.64,
                         ADetailer mask only top k largest: 1, ADetailer dilate erode: 4, ADetailer mask blur: 4,
                         ADetailer denoising strength: 0.4, ADetailer inpaint only masked: True, ADetailer inpaint
                         padding: 32, ADetailer model 2nd: mediapipe_face_full, ADetailer prompt 2nd: "young lolita girl
                         teenCla1re, fFaceDetail-SDXL EyeDetail-SDXL highly detailed, pretty, cute, (lolita), kawaii,
                         (girly), pink <lora:teenCla1rev1:1.0>", ADetailer confidence 2nd: 0.66, ADetailer mask only top
                         k largest 2nd: 1, ADetailer dilate erode 2nd: 4, ADetailer mask blur 2nd: 4, ADetailer
                         denoising strength 2nd: 0.45, ADetailer inpaint only masked 2nd: True, ADetailer inpaint
                         padding 2nd: 32, ADetailer model 3rd: mediapipe_face_mesh_eyes_only, ADetailer prompt 3rd:
                         "black lolita eyeliner, thick eyelashes", ADetailer confidence 3rd: 0.5, ADetailer dilate erode
                         3rd: 4, ADetailer mask blur 3rd: 4, ADetailer denoising strength 3rd: 0.4, ADetailer inpaint
                         only masked 3rd: True, ADetailer inpaint padding 3rd: 32, ADetailer version: 24.8.0, Hires CFG
                         Scale: 4, Hires upscale: 2, Hires steps: 25, Hires upscaler: ScuNET GAN, Lora hashes:
                         "sweetlolitaXLv6: 8db5c2935356, teenCla1rev1: 34a8eeb3928f", Beta schedule alpha: 0.6, Beta
                         schedule beta: 0.6, Version: f2.0.1v1.10.1-previous-543-g22e2bc3b"
20:13:36-046635 INFO     Applying hypertile: unet=384
20:13:36-098193 DEBUG    Load network: type=LoRA name="sweetlolitaXLv6" file="D:\Stable Diffusion
                         Files\Models\Loras\sweetlolitaXLv6.safetensors" detected=xl method=diffusers scale=0.8
                         fuse=False
20:14:00-355782 DEBUG    Server: alive=True jobs=1 requests=248 uptime=458 memory=2.52/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:16:00-390894 DEBUG    Server: alive=True jobs=1 requests=329 uptime=578 memory=5.25/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:16:55-627122 DEBUG    Load network: type=LoRA name="teenCla1rev1" file="D:\Stable Diffusion
                         Files\Models\Loras\teenCla1rev1.safetensors" detected=xl method=diffusers scale=0.8 fuse=False
20:18:00-436412 DEBUG    Server: alive=True jobs=1 requests=412 uptime=698 memory=6.61/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:18:50-612706 DEBUG    Setting changed: diffusers_offload_mode=balanced progress=False
20:18:50-613704 DEBUG    Save: file="config.json" json=85 bytes=5164 time=0.001
20:18:50-617219 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
20:20:00-471226 DEBUG    Server: alive=True jobs=1 requests=496 uptime=818 memory=6.89/31.9 backend=Backend.DIFFUSERS
                         state=idle
20:20:05-533353 DEBUG    Load network: type=LoRA loaded=['sweetlolitaXLv6', 'teenCla1rev1'] scales=[0.8, 0.8]
20:20:05-814254 INFO     Load network: type=LoRA apply=['sweetlolitaXLv6', 'teenCla1rev1'] patch=0.00 te=[0.8, 0.8]
                         unet=[[0.8, 0.8, 0.8], [0.8, 0.8, 0.8]] dims=[None, None] load=389.72
20:20:05-825280 INFO     Base: class=StableDiffusionXLPipeline
20:20:05-884349 DEBUG    Sampler: sampler="DPM SDE" config={'num_train_timesteps': 1000, 'beta_start': 0.00085,
                         'beta_end': 0.012, 'beta_schedule': 'scaled_linear', 'prediction_type': 'epsilon',
                         'use_karras_sigmas': True, 'noise_sampler_seed': None, 'timestep_spacing': 'leading',
                         'steps_offset': 1}
20:20:42-573554 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
20:20:42-578568 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
20:20:42-583573 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
20:20:42-591135 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
20:20:42-958683 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 150, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=encode_prompts time=0.37
20:20:43-110933 DEBUG    Torch generator: device=cpu seeds=[3074757254]
20:20:43-111933 DEBUG    Diffuser pipeline: StableDiffusionXLPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1
                         set={'prompt_embeds': torch.Size([1, 31, 2048]), 'pooled_prompt_embeds': torch.Size([1, 1280]),
                         'negative_prompt_embeds': torch.Size([1, 31, 2048]), 'negative_pooled_prompt_embeds':
                         torch.Size([1, 1280]), 'guidance_scale': 4, 'num_inference_steps': 20, 'eta': 1.0,
                         'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 768,
                         'height': 1152, 'parser': 'xhinker parser'}
Progress ?it/s                                              0% 0/20 00:00 ? Base20:21:59-527153 DEBUG    Server: alive=True jobs=1 requests=579 uptime=937 memory=8.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
Progress ?it/s                                              0% 0/20 02:40 ? Base
20:23:23-362031 ERROR    Exception: 'ParameterDict' object has no attribute 'sweetlolitaXLv6'
20:23:23-364042 ERROR    Arguments: args=('task(cbl8rs1gyz4idlp)', '', '(full body photograph) of young lolita girl
                         teenCla1re (blonde hair large breasts tiny waist), wearing sweetegl dress, tights, mary jane
                         heels <lora:sweetlolitaXLv6:0.8> <lora:teenCla1rev1:0.8>', '', [], 20, 12, 12, True, False,
                         False, False, 1, 1, 4, 4, 0.7, 0, 0.5, 1, 1, -1.0, -1.0, 0, 0, 0, 1152, 768, True, 0.45, 2, 1,
                         'Add with forward', 'chaiNNer 4xLexicaDAT2_otf', True, 15, 0, 0, 10, 0, '', '', 0, 0, 0, 0,
                         False, 4, 0.95, False, 0.6, 1, '#000000', 0, [], 0, 1, 'None', 'None', 'None', 'None', 0.5,
                         0.5, 0.5, 0.5, None, None, None, None, False, False, False, False, 0, 0, 0, 0, 1, 1, 1, 1,
                         None, None, None, None, False, '', False, 0, '', [], 0, '', [], 0, '', [], False, True, False,
                         True, False, False, 0, True, False, {'ad_model': 'person_yolov8m-seg.pt', 'ad_model_classes':
                         '', 'ad_tab_enable': True, 'ad_prompt': 'young lolita girl teenCla1re, wearing an over the top
                         sweetegl dress with lots of lace and bows and print and patterns, patterned tights,
                         ostentatious mary jane heels, highly detailed, <lora:sweetlolitaXLv6:1.0>
                         <lora:teenCla1rev1:0.8>', 'ad_negative_prompt': 'NDXL', 'ad_confidence': 0.64,
                         'ad_mask_k_largest': 1, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
                         'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding':
                         32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM', 'ad_scheduler': 'Use
                         same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'face_yolov8m.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': 'young lolita
                         girl teenCla1re, fFaceDetail-SDXL EyeDetail-SDXL highly detailed, pretty, cute, (lolita),
                         kawaii, (girly), pink <lora:teenCla1rev1:1.0>', 'ad_negative_prompt': '', 'ad_confidence':
                         0.66, 'ad_mask_k_largest': 1, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
                         'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.45, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM',
                         'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier':
                         1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False,
                         'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'mediapipe_face_mesh_eyes_only', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt':
                         'black lolita eyeliner, thick eyelashes', 'ad_negative_prompt': '', 'ad_confidence': 0.5,
                         'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
                         'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding':
                         32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM', 'ad_scheduler': 'Use
                         same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'adetailerFootYolov8x_v20.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt':
                         'lolita mary jane heels', 'ad_negative_prompt': '', 'ad_confidence': 0.5, 'ad_mask_k_largest':
                         2, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0,
                         'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'Merge', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.35, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM',
                         'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier':
                         1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False,
                         'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt':
                         '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio':
                         1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
                         'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler':
                         'Default', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False,
                         'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face':
                         False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight':
                         1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()},
                         {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '',
                         'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0,
                         'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4,
                         'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4,
                         'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32,
                         'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'Default', 'ad_scheduler':
                         'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt':
                         '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio':
                         1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
                         'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler':
                         'Default', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False,
                         'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face':
                         False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight':
                         1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()},
                         {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '',
                         'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0,
                         'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4,
                         'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4,
                         'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32,
                         'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'Default', 'ad_scheduler':
                         'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, 'None', [],
                         'FaceID Base', True, True, 1, 1, 1, 0.5, True, 'person', 1, 0.5, True, 'None', 16, 'None', 1,
                         True, 'None', 2, True, 1, 0, True, 'none', 3, 4, 0.25, 0.25, 'THUDM/CogVideoX-2b', 'DDIM'
                         kwargs={}
20:23:23-387062 ERROR    gradio call: AttributeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\automatic\modules\call_queue.py:31 in f                                                                           │
│                                                                                                                      │
│   30 │   │   │   try:                                                                                                │
│ ❱ 31 │   │   │   │   res = func(*args, **kwargs)                                                                     │
│   32 │   │   │   │   progress.record_results(id_task, res)                                                           │
│                                                                                                                      │
│ D:\automatic\modules\txt2img.py:94 in txt2img                                                                        │
│                                                                                                                      │
│    93 │   if processed is None:                                                                                      │
│ ❱  94 │   │   processed = processing.process_images(p)                                                               │
│    95 │   processed = scripts.scripts_txt2img.after(p, processed, *args)                                             │
│                                                                                                                      │
│ D:\automatic\modules\processing.py:201 in process_images                                                             │
│                                                                                                                      │
│   200 │   │   │   with context_hypertile_vae(p), context_hypertile_unet(p):                                          │
│ ❱ 201 │   │   │   │   processed = process_images_inner(p)                                                            │
│   202                                                                                                                │
│                                                                                                                      │
│ D:\automatic\modules\processing.py:325 in process_images_inner                                                       │
│                                                                                                                      │
│   324 │   │   │   │   │   from modules.processing_diffusers import process_diffusers                                 │
│ ❱ 325 │   │   │   │   │   samples = process_diffusers(p)                                                             │
│   326 │   │   │   │   else:                                                                                          │
│                                                                                                                      │
│ D:\automatic\modules\processing_diffusers.py:385 in process_diffusers                                                │
│                                                                                                                      │
│   384 │   if 'base' not in p.skip:                                                                                   │
│ ❱ 385 │   │   output = process_base(p)                                                                               │
│   386 │   else:                                                                                                      │
│                                                                                                                      │
│ D:\automatic\modules\processing_diffusers.py:94 in process_base                                                      │
│                                                                                                                      │
│    93 │   │   else:                                                                                                  │
│ ❱  94 │   │   │   output = shared.sd_model(**base_args)                                                              │
│    95 │   │   if isinstance(output, dict):                                                                           │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\utils\_contextlib.py:116 in decorate_context                               │
│                                                                                                                      │
│   115 │   │   with ctx_factory():                                                                                    │
│ ❱ 116 │   │   │   return func(*args, **kwargs)                                                                       │
│   117                                                                                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl.py:1199 in  │
│                                                                                                                      │
│   1198 │   │   │   │   │   added_cond_kwargs["image_embeds"] = image_embeds                                          │
│ ❱ 1199 │   │   │   │   noise_pred = self.unet(                                                                       │
│   1200 │   │   │   │   │   latent_model_input,                                                                       │
│                                                                                                                      │
│                                               ... 9 frames hidden ...                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_2d.py:407 in forward                   │
│                                                                                                                      │
│   406 │   │   │   residual = hidden_states                                                                           │
│ ❱ 407 │   │   │   hidden_states, inner_dim = self._operate_on_continuous_inputs(hidden_states)                       │
│   408 │   │   elif self.is_input_vectorized:                                                                         │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_2d.py:490 in _operate_on_continuous_in │
│                                                                                                                      │
│   489 │   │   │   hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)        │
│ ❱ 490 │   │   │   hidden_states = self.proj_in(hidden_states)                                                        │
│   491                                                                                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1553 in _wrapped_call_impl                            │
│                                                                                                                      │
│   1552 │   │   else:                                                                                                 │
│ ❱ 1553 │   │   │   return self._call_impl(*args, **kwargs)                                                           │
│   1554                                                                                                               │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1562 in _call_impl                                    │
│                                                                                                                      │
│   1561 │   │   │   │   or _global_forward_hooks or _global_forward_pre_hooks):                                       │
│ ❱ 1562 │   │   │   return forward_call(*args, **kwargs)                                                              │
│   1563                                                                                                               │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\peft\tuners\lora\layer.py:572 in forward                                         │
│                                                                                                                      │
│    571 │   │   │   │   │   x = dropout(x)                                                                            │
│ ❱  572 │   │   │   │   │   result = result + self._apply_dora(x, lora_A, lora_B, scaling, active_adapter)            │
│    573                                                                                                               │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\peft\tuners\lora\layer.py:266 in _apply_dora                                     │
│                                                                                                                      │
│    265 │   │   lora_weight = lora_B.weight @ lora_A.weight                                                           │
│ ❱  266 │   │   magnitude = self.lora_magnitude_vector[active_adapter]                                                │
│    267 │   │   base_layer = self.get_base_layer()                                                                    │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\container.py:738 in __getitem__                                 │
│                                                                                                                      │
│   737 │   │   attr = self._key_to_attr(key)                                                                          │
│ ❱ 738 │   │   return getattr(self, attr)                                                                             │
│   739                                                                                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1729 in __getattr__                                   │
│                                                                                                                      │
│   1728 │   │   │   │   return modules[name]                                                                          │
│ ❱ 1729 │   │   raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")                     │
│   1730                                                                                                               │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: 'ParameterDict' object has no attribute 'sweetlolitaXLv6'
20:23:24-207773 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 164, 'saved': 0}
                         before={'gpu': 0, 'ram': 8.01} after={'gpu': 0, 'ram': 8.01, 'retries': 0, 'oom': 0} device=cpu
                         fn=end time=0.3
20:23:59-572115 DEBUG    Server: alive=True jobs=1 requests=646 uptime=1057 memory=8.01/31.9 backend=Backend.DIFFUSERS
                         state=idle

Backend

Diffusers

UI

Standard

Branch

Dev

Model

StableDiffusion XL

Acknowledgements

I have read the above and searched for existing issues
I confirm that this is classified correctly and its not an extension issue

The text was updated successfully, but these errors were encountered:

vladmandic · 2024-10-01T05:16:58Z

to start with, i'm not familiar with extension sd-webui-temporal, but its clearly not compatible.
so lets remove that and do a clear run - without extra debug env variables, this is logging stuff thats not relevant right now.

MysticDaedra · 2024-10-01T06:39:06Z

Using VENV: D:\automatic\venv
23:22:32-495097 INFO 23:22:32-497097 INFO 23:22:32-498096 INFO venv="D:\automatic\venv"
23:22:32-636418 INFO url= Python: version=3.11.8 platform=Windows bin="D:\automatic\venv\Scripts\Python.exe"
Version: app=sd.next updated=2024-09-30 hash=684263c1 branch=dev
/github.com/vladmandic/automatic/tree/dev">https://github.com/vladmandic/automatic/tree/dev ui=dev
Updating main repository
Repository upgraded: 684263c Mon Sep 30 16:37:34 2024 -0400
Platform: arch=AMD64 cpu=AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD system=Windows
python=3.11.8
CUDA: nVidia toolkit detected
Verifying requirements
Verifying packages
Startup: standard
Verifying submodules
Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
'stable-diffusion-webui-images-browser',
'adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
r-automatic1111']
Verifying requirements
Updating Wiki
Command line args: ['--medvram', '--upgrade'] medvram=True upgrade=True
Load packages: {'torch': '2.4.1+cpu', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
'4.44.2', 'accelerate': '0.34.2'}
Engine: backend=Backend.DIFFUSERS compute=None device=cpu attention="Scaled-Dot-Product"
Trace: MASK
Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=4
Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=33 time=0.05
Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
[0m[34mINFO [0m Available LoRAs: [33mitems[0m=[1;36m112[0m
Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using
extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3
Extension: script='extensions\adetailer\scripts!adetailer.py' [-] ADetailer initialized.
Available Upscalers: items=64 downloaded=29 user=11 time=0.01 types=['None', 'Lanczos',
'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.01
UI theme: type=Standard name="invoked"
Local URL: http://127.0.0.1:7860/
[AgentScheduler] Task queue is empty
[AgentScheduler] Registering APIs
file has been successfully backed up to the backup folder.
Torch parameters: backend=cpu device=cpu config=FP16 dtype=torch.float16 vae=torch.float16
context=inference_mode nohalf=False nohalfvae=False upscast=False
test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
Load model: select="STOIQOAfroditeXL_XL31 [03757fdcc3]"
Autodetect model: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
ls\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
Autodetect vae: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
ls\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
Load module: type=VAE model="D:\Stable Diffusion
FP16ErrorsSDXLLowerMemoryUse_v10.safetensors" source=settings
False, 'torch_dtype': torch.float16, 'use_safetensors': True,
'fp16', 'force_upcast': False, 'config': 'configs/sdxl\vae'}
0% 0/7 00:00 ? Loading pipeline components...23:23:30-963881 INFO MOTD: N/A

Diffusers 1.07it/s ████████ 100% 7/7 00:06 00:00 Loading pipeline components...
23:23:38-395876 INFO Load network: type=embeddings loaded=14 skipped=4 time=2.87
23:23:38-740273 INFO Load model: time=9.80 load=6.89 embeddings=2.87 native=1024 memory={'ram': {'used': 1.95,
'total': 31.9}}
23:23:38-742778 INFO Startup time: 21.32 torch=3.33 gradio=0.86 diffusers=0.14 libraries=1.26 extensions=0.73
models=0.06 ui-networks=0.25 ui-txt2img=0.34 ui-img2img=0.16 ui-control=0.23 ui-settings=0.24
ui-extensions=2.46 ui-defaults=0.10 launch=0.15 api=0.08 app-started=0.58 checkpoint=10.11
23:24:56-549249 INFO Browser session: user=None client=127.0.0.1 agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64;
rv:130.0) Gecko/20100101 Firefox/130.0
23:29:09-791156 INFO Applying hypertile: unet=384
23:35:35-336760 INFO Load network: type=LoRA apply=['sweetlolitaXLv6', 'teenCla1rev1'] patch=0.00 te=[0.8, 0.8]
unet=[[0.8, 0.8, 0.8], [0.8, 0.8, 0.8]] dims=[None, None] load=385.53
23:35:35-346753 INFO Base: class=StableDiffusionXLPipeline
Progress ?it/s 0% 0/20 02:15 ? Base
23:38:26-384417 ERROR Exception: 'ParameterDict' object has no attribute 'sweetlolitaXLv6'
23:38:26-385417 ERROR Arguments: args=('task(stmevi15o7x1507)', '', '(full body photograph) of young lolita girl
teenCla1re (blonde hair large breasts tiny waist), wearing sweetegl dress, tights, mary jane
heels lora:sweetlolitaXLv6:0.8 lora:teenCla1rev1:0.8', '', [], 20, 12, 12, True, False,
False, False, 1, 1, 4, 4, 0.7, 0, 0.5, 1, 1, -1.0, -1.0, 0, 0, 0, 1152, 768, True, 0.45, 2, 1,
'Add with forward', 'chaiNNer 4xLexicaDAT2_otf', True, 15, 0, 0, 10, 0, '', '', 0, 0, 0, 0,
False, 4, 0.95, False, 0.6, 1, '#000000', 0, [], 0, 1, 'None', 'None', 'None', 'None', 0.5,
0.5, 0.5, 0.5, None, None, None, None, False, False, False, False, 0, 0, 0, 0, 1, 1, 1, 1,
None, None, None, None, False, '', False, 0, '', [], 0, '', [], 0, '', [], False, True, False,
True, False, False, 0, True, False, {'ad_model': 'person_yolov8m-seg.pt', 'ad_model_classes':
'', 'ad_tab_enable': True, 'ad_prompt': 'young lolita girl teenCla1re, wearing an over the top
sweetegl dress with lots of lace and bows and print and patterns, patterned tights,
ostentatious mary jane heels, highly detailed, lora:sweetlolitaXLv6:1.0
lora:teenCla1rev1:0.8', 'ad_negative_prompt': 'NDXL', 'ad_confidence': 0.64,
'ad_mask_k_largest': 1, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding':
32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM', 'ad_scheduler': 'Use
same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
'face_yolov8m.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': 'young lolita
girl teenCla1re, fFaceDetail-SDXL EyeDetail-SDXL highly detailed, pretty, cute, (lolita),
kawaii, (girly), pink lora:teenCla1rev1:1.0', 'ad_negative_prompt': '', 'ad_confidence':
0.66, 'ad_mask_k_largest': 1, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
'ad_denoising_strength': 0.45, 'ad_inpaint_only_masked': True,
'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale':
False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM',
'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier':
1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False,
'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
'mediapipe_face_mesh_eyes_only', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt':
'black lolita eyeliner, thick eyelashes', 'ad_negative_prompt': '', 'ad_confidence': 0.5,
'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding':
32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM', 'ad_scheduler': 'Use
same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
'adetailerFootYolov8x_v20.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt':
'lolita mary jane heels', 'ad_negative_prompt': '', 'ad_confidence': 0.5, 'ad_mask_k_largest':
2, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0,
'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'Merge', 'ad_mask_blur': 4,
'ad_denoising_strength': 0.35, 'ad_inpaint_only_masked': True,
'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale':
False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM',
'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier':
1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False,
'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt':
'', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio':
1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True,
'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale':
False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler':
'Default', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False,
'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face':
False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight':
1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()},
{'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '',
'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0,
'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4,
'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4,
'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32,
'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'Default', 'ad_scheduler':
'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt':
'', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio':
1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True,
'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale':
False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler':
'Default', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False,
'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face':
False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight':
1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()},
{'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '',
'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0,
'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4,
'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4,
'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32,
'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'Default', 'ad_scheduler':
'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, 'None', [],
'FaceID Base', True, True, 1, 1, 1, 0.5, True, 'person', 1, 0.5, True, 'None', 16, 'None', 1,
True, 'None', 2, True, 1, 0, True, 'none', 3, 4, 0.25, 0.25, 'THUDM/CogVideoX-2b', 'DDIM'
kwargs={}
23:38:26-405748 ERROR gradio call: AttributeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\automatic\modules\call_queue.py:31 in f │
│ │
│ 30 │ │ │ try: │
│ ❱ 31 │ │ │ │ res = func(*args, **kwargs) │
│ 32 │ │ │ │ progress.record_results(id_task, res) │
│ │
│ D:\automatic\modules\txt2img.py:94 in txt2img │
│ │
│ 93 │ if processed is None: │
│ ❱ 94 │ │ processed = processing.process_images(p) │
│ 95 │ processed = scripts.scripts_txt2img.after(p, processed, *args) │
│ │
│ D:\automatic\modules\processing.py:201 in process_images │
│ │
│ 200 │ │ │ with context_hypertile_vae(p), context_hypertile_unet(p): │
│ ❱ 201 │ │ │ │ processed = process_images_inner(p) │
│ 202 │
│ │
│ D:\automatic\modules\processing.py:325 in process_images_inner │
│ │
│ 324 │ │ │ │ │ from modules.processing_diffusers import process_diffusers │
│ ❱ 325 │ │ │ │ │ samples = process_diffusers(p) │
│ 326 │ │ │ │ else: │
│ │
│ D:\automatic\modules\processing_diffusers.py:385 in process_diffusers │
│ │
│ 384 │ if 'base' not in p.skip: │
│ ❱ 385 │ │ output = process_base(p) │
│ 386 │ else: │
│ │
│ D:\automatic\modules\processing_diffusers.py:94 in process_base │
│ │
│ 93 │ │ else: │
│ ❱ 94 │ │ │ output = shared.sd_model(**base_args) │
│ 95 │ │ if isinstance(output, dict): │
│ │
│ D:\automatic\venv\Lib\site-packages\torch\utils_contextlib.py:116 in decorate_context │
│ │
│ 115 │ │ with ctx_factory(): │
│ ❱ 116 │ │ │ return func(*args, **kwargs) │
│ 117 │
│ │
│ D:\automatic\venv\Lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl.py:1199 in │
│ │
│ 1198 │ │ │ │ │ added_cond_kwargs["image_embeds"] = image_embeds │
│ ❱ 1199 │ │ │ │ noise_pred = self.unet( │
│ 1200 │ │ │ │ │ latent_model_input, │
│ │
│ ... 9 frames hidden ... │
│ │
│ D:\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_2d.py:407 in forward │
│ │
│ 406 │ │ │ residual = hidden_states │
│ ❱ 407 │ │ │ hidden_states, inner_dim = self._operate_on_continuous_inputs(hidden_states) │
│ 408 │ │ elif self.is_input_vectorized: │
│ │
│ D:\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_2d.py:490 in _operate_on_continuous_in │
│ │
│ 489 │ │ │ hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim) │
│ ❱ 490 │ │ │ hidden_states = self.proj_in(hidden_states) │
│ 491 │
│ │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1553 in _wrapped_call_impl │
│ │
│ 1552 │ │ else: │
│ ❱ 1553 │ │ │ return self._call_impl(*args, **kwargs) │
│ 1554 │
│ │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1562 in _call_impl │
│ │
│ 1561 │ │ │ │ or _global_forward_hooks or _global_forward_pre_hooks): │
│ ❱ 1562 │ │ │ return forward_call(*args, **kwargs) │
│ 1563 │
│ │
│ D:\automatic\venv\Lib\site-packages\peft\tuners\lora\layer.py:572 in forward │
│ │
│ 571 │ │ │ │ │ x = dropout(x) │
│ ❱ 572 │ │ │ │ │ result = result + self._apply_dora(x, lora_A, lora_B, scaling, active_adapter) │
│ 573 │
│ │
│ D:\automatic\venv\Lib\site-packages\peft\tuners\lora\layer.py:266 in _apply_dora │
│ │
│ 265 │ │ lora_weight = lora_B.weight @ lora_A.weight │
│ ❱ 266 │ │ magnitude = self.lora_magnitude_vector[active_adapter] │
│ 267 │ │ base_layer = self.get_base_layer() │
│ │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\container.py:738 in getitem │
│ │
│ 737 │ │ attr = self._key_to_attr(key) │
│ ❱ 738 │ │ return getattr(self, attr) │
│ 739 │
│ │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1729 in getattr │
│ │
│ 1728 │ │ │ │ return modules[name] │
│ ❱ 1729 │ │ raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'") │
│ 1730 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: 'ParameterDict' object has no attribute 'sweetlolitaXLv6'

MysticDaedra · 2024-10-01T06:39:29Z

Uninstalled the plugin and disabled --debug.

vladmandic · 2024-10-01T18:45:45Z

i meant disable trace, not --debug. having --debug is good.
having any env variable SD_*_DEBUG when not asked for is not.

anyhow, this is an issue with diffusers built-in dora handler that is used for your lora sweetlolitaXLv6.
and load time for that lora is 300+sec?? wtf??
i don't have that lora, so cannot reproduce.

but why are you using diffusers built-in handler instead of sdnext native one?
(settings -> networks -> LoRA force loading of all models using Diffusers)

MysticDaedra · 2024-10-02T06:33:22Z

Gotcha, I'll remove the ENV variable, I forget why I put that there in the first place...

I've used this DoRA before without any problems, early last month (September). I've also used it successfully on other platforms including comfyui and sd forge. It's a custom dora I've trained, haven't uploaded to CivitAI yet iirc. The long loading time is one of the issues that I believe to be related to this error.

I have no idea why I have that setting ticked, any/all settings I've changed have been at the suggestion/behest of various SD.Next discord staff or devs. I'll try turning it off (afaik that setting has been set that way for a very long time).

vladmandic · 2024-10-02T12:57:10Z

try to reproduce using native lora handler.
and see if you can upload that lora anywhere so i can access it - without that, i'll have to close the issue as there is not much i can do.

MysticDaedra · 2024-10-02T16:17:25Z

Turns out I do have it uploaded on CivitAI, the past month has been a blur for me lol. Here's the link: https://civitai.com/models/645251

I'm unable to start SD.Next right now, unrelated issue, as soon as that is resolved I'll try changing the setting.

vladmandic · 2024-10-02T16:53:10Z

i cannot reproduce the problem using either native or diffusers loading using lora provided, both are loading near-instant and are working fine.
only thing i've noticed is that you have _6 in lora name, the one on civitiai does not have underscore - so check if its exactly the same lora.

MysticDaedra · 2024-10-02T17:47:29Z

There's no _6 in the file name, if there's an underscore there then SDNext is adding it when I click on the lora to add to the prompt... EDIT: Just checked, the prompt has no underscore in it. If there is an underscore that you're seeing, then it is being added after I click Generate. Unsure how that can be the case, however.

MysticDaedra · 2024-10-02T17:53:11Z

I turned off the force lora loading with diffusers setting, or whatever it is called. I can't recall ever even viewing the Networks settings tab tbh, let alone changing a setting there. Anyways, I got a warning in console:

WARNING Balanced offload: Forcing Diffusers Lora loading method

MysticDaedra · 2024-10-02T20:44:58Z

Managed to get it running, had the same error with the force lora loading through diffusers setting turned off.

11:01:55-418440 INFO     Starting SD.Next
11:01:55-421440 INFO     Logger: file="D:\automatic\sdnext.log" level=DEBUG size=65 mode=create
11:01:55-422443 INFO     Python: version=3.11.8 platform=Windows bin="D:\automatic\venv\Scripts\Python.exe"
                         venv="D:\automatic\venv"
11:01:55-957813 INFO     Version: app=sd.next updated=2024-10-02 hash=aba39791 branch=dev
                         url=https://github.com/vladmandic/automatic/tree/dev ui=dev
11:01:56-645142 INFO     Updating main repository
11:01:59-506993 INFO     Repository upgraded: e8e05b7d Wed Oct 2 12:48:37 2024 -0400
11:01:59-513991 INFO     Platform: arch=AMD64 cpu=AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD system=Windows
                         release=Windows-10-10.0.22631-SP0 python=3.11.8
11:01:59-519990 DEBUG    Setting environment tuning
11:01:59-520990 DEBUG    Torch allocator:
                         "garbage_collection_threshold:0.25,max_split_size_mb:512,backend:cudaMallocAsync"
11:01:59-537005 DEBUG    Torch overrides: cuda=False rocm=False ipex=False diml=False openvino=False zluda=False
11:01:59-547997 INFO     CUDA: nVidia toolkit detected
11:01:59-694425 INFO     Verifying requirements
11:01:59-701424 INFO     Verifying packages
11:01:59-702424 INFO     Startup: standard
11:01:59-703424 INFO     Verifying submodules
11:02:02-276383 DEBUG    Git submodule: extensions-builtin/sd-extension-chainner / main
11:02:02-947436 DEBUG    Git submodule: extensions-builtin/sd-extension-system-info / main
11:02:03-624754 DEBUG    Git submodule: extensions-builtin/sd-webui-agent-scheduler / main
11:02:04-256427 DEBUG    Git submodule: extensions-builtin/sdnext-modernui / dev
11:02:04-968792 DEBUG    Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master
11:02:05-596084 DEBUG    Git submodule: modules/k-diffusion / master
11:02:06-184711 DEBUG    Git submodule: wiki / master
11:02:07-071032 DEBUG    Register paths
11:02:07-137032 DEBUG    Installed packages: 215
11:02:07-138138 DEBUG    Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg']
11:02:07-696779 DEBUG    Git submodule: extensions-builtin\sd-extension-chainner / main
11:02:08-359688 DEBUG    Git submodule: extensions-builtin\sd-extension-system-info / main
11:02:09-024921 DEBUG    Git submodule: extensions-builtin\sd-webui-agent-scheduler / main
11:02:09-598036 DEBUG    Extension installer: D:\automatic\extensions-builtin\sd-webui-agent-scheduler\install.py
11:02:13-323900 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-images-browser / main
11:02:13-966494 DEBUG    Extension installer:
                         D:\automatic\extensions-builtin\stable-diffusion-webui-images-browser\install.py
11:02:16-128934 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-rembg / master
11:02:16-701189 DEBUG    Extension installer: D:\automatic\extensions-builtin\stable-diffusion-webui-rembg\install.py
11:02:23-955117 DEBUG    Extensions all: ['adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'ultimate-upscale-for-automatic1111']
11:02:23-993639 DEBUG    Git submodule: extensions\adetailer / main
11:02:24-655562 DEBUG    Extension installer: D:\automatic\extensions\adetailer\install.py
11:02:24-882396 DEBUG    Git submodule: extensions\canvas-zoom / main
11:02:25-508364 DEBUG    Extension installer: D:\automatic\extensions\canvas-zoom\install.py
11:02:37-695124 DEBUG    Git submodule: extensions\sd-webui-infinite-image-browsing / main
11:02:38-325488 DEBUG    Extension installer: D:\automatic\extensions\sd-webui-infinite-image-browsing\install.py
11:02:56-305221 DEBUG    Git submodule: extensions\ultimate-upscale-for-automatic1111 / master
11:02:56-988269 INFO     Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg', 'adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'ultimate-upscale-for-automatic1111']
11:02:56-989269 INFO     Verifying requirements
11:02:56-990269 INFO     Updating Wiki
11:02:57-019929 DEBUG    Git submodule: D:\automatic\wiki / master
11:02:57-592731 DEBUG    Setup complete without errors: 1727892178
11:02:57-606730 DEBUG    Extension preload: {'extensions-builtin': 0.01, 'extensions': 0.0}
11:02:57-607730 DEBUG    Starting module: <module 'webui' from 'D:\\automatic\\webui.py'>
11:02:57-609730 INFO     Command line args: ['--medvram', '--upgrade', '--debug'] medvram=True upgrade=True debug=True
11:02:57-610730 DEBUG    Env flags: []
11:03:22-530504 INFO     System packages: {'torch': '2.4.1+cpu', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
                         'transformers': '4.45.1', 'accelerate': '0.33.0'}
11:03:24-882484 DEBUG    Huggingface cache: folder="C:\Users\Joshua\.cache\huggingface\hub"
11:03:24-964525 DEBUG    Read: file="config.json" json=84 bytes=5287 time=0.000
11:03:24-965533 DEBUG    Unknown settings: ['cross_attention_options', 'ad_max_models', 'civitai_link_key',
                         'multiple_tqdm', 'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score', 'image_browser_active_tabs', 'ad_extra_models_dir',
                         'canvas_zoom_mask_clear', 'canvas_zoom_draw_staight_lines', 'ad_script_names']
11:03:24-967533 INFO     Engine: backend=Backend.DIFFUSERS compute=None device=cpu attention="Scaled-Dot-Product"
                         mode=no_grad
11:03:24-978547 DEBUG    Read: file="html\reference.json" json=52 bytes=29118 time=0.010
11:03:24-984550 INFO     Torch parameters: backend=cpu device=cpu config=FP16 dtype=torch.float16 vae=torch.float16
                         unet=torch.float16 context=inference_mode nohalf=False nohalfvae=False upscast=False
                         deterministic=True test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
11:03:28-778264 DEBUG    ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['AzureExecutionProvider',
                         'CPUExecutionProvider']
11:03:29-317611 INFO     Device:
11:03:29-608914 DEBUG    Importing LDM
11:03:29-685660 DEBUG    Entering start sequence
11:03:29-688662 DEBUG    Initializing
11:03:29-898205 INFO     Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=4
11:03:29-900208 INFO     Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
11:03:29-901205 INFO     Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
11:03:29-902205 INFO     Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
11:03:29-913213 DEBUG    Read: file="cache.json" json=2 bytes=180321 time=0.007
11:03:30-000131 DEBUG    Read: file="metadata.json" json=1637 bytes=19782667 time=0.085
11:03:30-016021 DEBUG    Scanning diffusers cache: folder="D:\Stable Diffusion Files\Models\Diffusers" items=4 time=0.00
11:03:30-017020 INFO     Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=25 time=0.11
11:03:30-208739 DEBUG    Load extensions
11:03:30-310873 INFO     Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
                         [2;36m11:03:30-306872[0m[2;36m [0m[34mINFO    [0m Available LoRAs: [33mitems[0m=[1;36m109[0m
                         [33mfolders[0m=[1;36m2[0m
11:03:30-879659 INFO     Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using
                         sqlite file: extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3
11:03:31-290636 INFO     Extension: script='extensions\adetailer\scripts\!adetailer.py' [-] ADetailer initialized.
                         version: 24.9.0, num models: 20
11:03:31-347844 DEBUG    Extensions init time: 1.14 sd-extension-chainner=0.05 sd-webui-agent-scheduler=0.51
                         stable-diffusion-webui-images-browser=0.18 adetailer=0.23 sd-webui-infinite-image-browsing=0.05
11:03:31-373639 DEBUG    Read: file="html/upscalers.json" json=4 bytes=2672 time=0.006
11:03:31-381639 DEBUG    Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.006
11:03:31-383640 DEBUG    chaiNNer models: path="D:\Stable Diffusion Files\Models\chaiNNer" defined=24 discovered=8
                         downloaded=16
11:03:31-385639 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN"
                         model="4x_foolhardy_Remacri" path="D:\Stable Diffusion
                         Files\Models\ESRGAN\4x_foolhardy_Remacri.pth"
11:03:31-386639 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN" model="4x_NMKD-Siax_200k"
                         path="D:\Stable Diffusion Files\Models\ESRGAN\4x_NMKD-Siax_200k.pth"
11:03:31-388639 DEBUG    Upscaler type=SwinIR folder="D:\Stable Diffusion Files\Models\SwinIR" model="SwinIR_4x"
                         path="D:\Stable Diffusion Files\Models\SwinIR\SwinIR_4x.pth"
11:03:31-390643 INFO     Available Upscalers: items=64 downloaded=29 user=11 time=0.04 types=['None', 'Lanczos',
                         'Nearest', 'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
11:03:31-850444 INFO     Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.46
11:03:31-855445 DEBUG    Creating UI
11:03:31-857445 DEBUG    UI themes available: type=Standard themes=12
11:03:31-857445 INFO     UI theme: type=Standard name="invoked"
11:03:31-864444 DEBUG    UI theme: css="D:\automatic\javascript\invoked.css" base="sdnext.css" user="None"
11:03:31-867582 DEBUG    UI initialize: txt2img
11:03:32-142870 DEBUG    Networks: page='model' items=76 subfolders=4 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Checkpoints', 'D:\\Stable Diffusion Files\\Models\\Diffusers',
                         'models\\Reference'] list=0.23 thumb=0.02 desc=0.00 info=0.06 workers=8 sort=Date [Newest]
11:03:32-153871 DEBUG    Networks: page='lora' items=109 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Loras', 'D:\\Stable Diffusion Files\\Models\\LyCORIS'] list=0.26 thumb=0.01
                         desc=0.04 info=1.49 workers=8 sort=Date [Newest]
11:03:32-179870 DEBUG    Networks: page='style' items=297 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Styles', 'html'] list=0.22 thumb=0.01 desc=0.00 info=0.00 workers=8 sort=Date
                         [Newest]
11:03:32-184871 DEBUG    Networks: page='embedding' items=18 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Embeddings'] list=0.25 thumb=0.01 desc=0.00 info=0.22 workers=8 sort=Date
                         [Newest]
11:03:32-187871 DEBUG    Networks: page='vae' items=4 subfolders=0 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\VAE'] list=0.20 thumb=0.19 desc=0.00 info=0.01 workers=8 sort=Date [Newest]
11:03:32-365899 DEBUG    UI initialize: img2img
11:03:32-564928 DEBUG    UI initialize: control models=D:\Stable Diffusion Files\Models\Control
11:03:32-945985 DEBUG    Read: file="ui-config.json" json=145 bytes=8711 time=0.004
11:03:33-054497 DEBUG    UI themes available: type=Standard themes=12
11:03:38-345060 DEBUG    Extension list: processed=353 installed=12 enabled=10 disabled=2 visible=353 hidden=0
11:03:38-512105 DEBUG    Root paths: ['D:\\automatic']
11:03:38-603894 INFO     Local URL: http://127.0.0.1:7860/
11:03:38-604893 DEBUG    Gradio functions: registered=3939
11:03:38-606893 DEBUG    FastAPI middleware: ['Middleware', 'Middleware']
11:03:38-609398 DEBUG    Creating API
11:03:39-029950 INFO     [AgentScheduler] Task queue is empty
11:03:39-030960 INFO     [AgentScheduler] Registering APIs
IIB Database file has been successfully backed up to the backup folder.
11:03:39-225483 DEBUG    Scripts setup: ['IP Adapters:0.022', 'XYZ Grid:0.015', 'ADetailer:0.261', 'Face:0.015',
                         'CogVideoX:0.008', 'Ctrl-X:0.006', 'X/Y/Z Grid:0.01', 'Image-to-Video:0.007', 'Stable Video
                         Diffusion:0.006', 'Ultimate SD upscale:0.006']
11:03:39-226484 DEBUG    Model metadata: file="metadata.json" no changes
11:03:39-228486 DEBUG    Model requested: fn=<lambda>
11:03:39-229485 INFO     Load model: select="STOIQOAfroditeXL_XL31 [03757fdcc3]"
11:03:39-230487 DEBUG    Load model: target="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" existing=False info=None
11:03:39-232485 DEBUG    Load model: path="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors"
11:03:39-233485 INFO     Autodetect model: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
11:03:39-234485 INFO     Autodetect vae: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
11:03:39-235486 INFO     Load module: type=VAE model="D:\Stable Diffusion
                         Files\Models\VAE\fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors" source=settings
                         config={'low_cpu_mem_usage': False, 'torch_dtype': torch.float16, 'use_safetensors': True,
                         'variant': 'fp16', 'force_upcast': False, 'config': 'configs/sdxl\\vae'}
Diffusers 13.48it/s ████████ 100% 7/7 00:00 00:00 Loading pipeline components...
11:03:40-620230 DEBUG    Setting model: pipeline=StableDiffusionXLPipeline config={'low_cpu_mem_usage': True,
                         'torch_dtype': torch.float16, 'load_connected_pipeline': True, 'extract_ema': True, 'config':
                         'configs/sdxl', 'use_safetensors': True, 'cache_dir':
                         'C:\\Users\\Joshua\\.cache\\huggingface\\hub', 'force_upcast': False}
11:03:43-554331 INFO     Load network: type=embeddings loaded=14 skipped=4 time=2.93
11:03:43-555331 DEBUG    Setting model: component=VAE name="fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors"
11:03:43-556331 DEBUG    Setting model: component=VAE upcast=False
11:03:43-557333 DEBUG    Setting model: component=VAE slicing=True
11:03:43-558330 DEBUG    Setting model: component=VAE tiling=True
11:03:43-559331 DEBUG    Setting model: attention="Scaled-Dot-Product"
11:03:43-578330 DEBUG    Setting model: offload=balanced
11:03:43-600335 WARNING  Balanced offload: Forcing Diffusers Lora loading method
11:03:43-602335 DEBUG    Read: file="D:\automatic\configs\sdxl\vae\config.json" json=15 bytes=674 time=0.000
11:03:43-867517 DEBUG    GC: utilization={'gpu': 0, 'ram': 6, 'threshold': 25} gc={'collected': 8003, 'saved': 0}
                         before={'gpu': 0, 'ram': 1.93} after={'gpu': 0, 'ram': 1.93, 'retries': 0, 'oom': 0} device=cpu
                         fn=load_diffuser time=0.26
11:03:43-876515 INFO     Load model: time=4.37 load=1.39 embeddings=2.93 native=1024 memory={'ram': {'used': 1.93,
                         'total': 31.9}}
11:03:43-878515 DEBUG    Script callback init time: image_browser.py:ui_tabs=4.19 system-info.py:app_started=0.31
                         task_scheduler.py:app_started=0.21
11:03:43-880518 DEBUG    Save: file="config.json" json=85 bytes=5164 time=0.002
11:03:43-880518 INFO     Startup time: 46.25 torch=22.41 gradio=0.93 diffusers=0.45 libraries=8.19 ldm=0.08
                         samplers=0.21 extensions=1.14 models=0.11 face-restore=0.19 networks=0.46 ui-networks=0.43
                         ui-txt2img=0.15 ui-img2img=0.16 ui-control=0.22 ui-settings=0.27 ui-extensions=5.16
                         ui-defaults=0.09 launch=0.15 api=0.07 app-started=0.54 checkpoint=4.65
11:03:43-882516 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
11:03:59-889462 DEBUG    Server: alive=True jobs=1 requests=4 uptime=35 memory=1.93/31.9 backend=Backend.DIFFUSERS
                         state=idle
11:04:09-931450 DEBUG    Paste prompt: type="current" prompt="(full body photograph) of young lolita girl teenCla1re
                         (blonde hair large breasts tiny waist), wearing sweetegl dress, tights, mary jane heels
                         <lora:sweetlolitaXLv6:0.8> <lora:teenCla1rev1:0.8>
                         Steps: 45, Sampler: DPM++ 3M SDE, Schedule type: Beta, CFG scale: 4, Seed: 4016421155, Size:
                         768x1152, Model hash: 2c6435d567, Model: STOIQOAfroditeXL_XL31, Denoising strength: 0.45,
                         ADetailer model: person_yolov8s-seg.pt, ADetailer prompt: "young lolita girl teenCla1re,
                         wearing an over the top sweetegl dress with lots of lace and bows and print and patterns,
                         patterned tights, ostentatious mary jane heels, highly detailed, <lora:sweetlolitaXLv6:1.0>
                         <lora:teenCla1rev1:0.8>", ADetailer negative prompt: NDXL, ADetailer confidence: 0.64,
                         ADetailer mask only top k largest: 1, ADetailer dilate erode: 4, ADetailer mask blur: 4,
                         ADetailer denoising strength: 0.4, ADetailer inpaint only masked: True, ADetailer inpaint
                         padding: 32, ADetailer model 2nd: mediapipe_face_full, ADetailer prompt 2nd: "young lolita girl
                         teenCla1re, fFaceDetail-SDXL EyeDetail-SDXL highly detailed, pretty, cute, (lolita), kawaii,
                         (girly), pink <lora:teenCla1rev1:1.0>", ADetailer confidence 2nd: 0.66, ADetailer mask only top
                         k largest 2nd: 1, ADetailer dilate erode 2nd: 4, ADetailer mask blur 2nd: 4, ADetailer
                         denoising strength 2nd: 0.45, ADetailer inpaint only masked 2nd: True, ADetailer inpaint
                         padding 2nd: 32, ADetailer model 3rd: mediapipe_face_mesh_eyes_only, ADetailer prompt 3rd:
                         "black lolita eyeliner, thick eyelashes", ADetailer confidence 3rd: 0.5, ADetailer dilate erode
                         3rd: 4, ADetailer mask blur 3rd: 4, ADetailer denoising strength 3rd: 0.4, ADetailer inpaint
                         only masked 3rd: True, ADetailer inpaint padding 3rd: 32, ADetailer version: 24.8.0, Hires CFG
                         Scale: 4, Hires upscale: 2, Hires steps: 25, Hires upscaler: ScuNET GAN, Lora hashes:
                         "sweetlolitaXLv6: 8db5c2935356, teenCla1rev1: 34a8eeb3928f", Beta schedule alpha: 0.6, Beta
                         schedule beta: 0.6, Version: f2.0.1v1.10.1-previous-543-g22e2bc3b"
11:04:34-682177 INFO     Applying hypertile: unet=384
11:04:34-708176 DEBUG    Load network: type=LoRA name="sweetlolitaXLv6" file="D:\Stable Diffusion
                         Files\Models\Loras\sweetlolitaXLv6.safetensors" detected=xl method=diffusers scale=0.8
                         fuse=False
11:05:59-927521 DEBUG    Server: alive=True jobs=1 requests=88 uptime=155 memory=4.07/31.9 backend=Backend.DIFFUSERS
                         state=idle
11:07:38-147863 DEBUG    Load network: type=LoRA name="teenCla1rev1" file="D:\Stable Diffusion
                         Files\Models\Loras\teenCla1rev1.safetensors" detected=xl method=diffusers scale=0.8 fuse=False
11:07:59-965947 DEBUG    Server: alive=True jobs=1 requests=172 uptime=275 memory=6.54/31.9 backend=Backend.DIFFUSERS
                         state=idle
11:10:00-002403 DEBUG    Server: alive=True jobs=1 requests=255 uptime=396 memory=6.78/31.9 backend=Backend.DIFFUSERS
                         state=idle
11:10:35-509111 DEBUG    Load network: type=LoRA loaded=['sweetlolitaXLv6', 'teenCla1rev1'] scales=[0.8, 0.8]
11:10:35-734141 INFO     Load network: type=LoRA apply=['sweetlolitaXLv6', 'teenCla1rev1'] patch=0.00 te=[0.8, 0.8]
                         unet=[[0.8, 0.8, 0.8], [0.8, 0.8, 0.8]] dims=[None, None] load=361.03
11:10:35-740137 INFO     Base: class=StableDiffusionXLPipeline
11:10:35-783494 DEBUG    Sampler: sampler="DPM SDE" config={'num_train_timesteps': 1000, 'beta_start': 0.00085,
                         'beta_end': 0.012, 'beta_schedule': 'scaled_linear', 'prediction_type': 'epsilon',
                         'use_karras_sigmas': True, 'noise_sampler_seed': None, 'timestep_spacing': 'leading',
                         'steps_offset': 1}
11:11:07-666326 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
11:11:07-671325 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
11:11:07-676325 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
11:11:07-755837 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 0, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=apply_balanced_offload_to_module time=0.0
11:11:08-045392 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 1148, 'saved': 0}
                         before={'gpu': 0, 'ram': 7.89} after={'gpu': 0, 'ram': 7.89, 'retries': 0, 'oom': 0} device=cpu
                         fn=encode_prompts time=0.29
11:11:08-125869 DEBUG    Torch generator: device=cpu seeds=[4016421155]
11:11:08-126864 DEBUG    Diffuser pipeline: StableDiffusionXLPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1
                         set={'prompt_embeds': torch.Size([1, 31, 2048]), 'pooled_prompt_embeds': torch.Size([1, 1280]),
                         'negative_prompt_embeds': torch.Size([1, 31, 2048]), 'negative_pooled_prompt_embeds':
                         torch.Size([1, 1280]), 'guidance_scale': 4, 'num_inference_steps': 20, 'eta': 1.0,
                         'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 768,
                         'height': 1152, 'parser': 'xhinker parser'}
Progress ?it/s                                              0% 0/20 00:00 ? Base11:12:00-058842 DEBUG    Server: alive=True jobs=1 requests=339 uptime=516 memory=8.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
Progress ?it/s                                              0% 0/20 02:18 ? Base
11:13:26-742340 ERROR    Exception: 'ParameterDict' object has no attribute 'sweetlolitaXLv6'
11:13:26-744342 ERROR    Arguments: args=('task(kvw6wnffp9pkzz6)', '', '(full body photograph) of young lolita girl
                         teenCla1re (blonde hair large breasts tiny waist), wearing sweetegl dress, tights, mary jane
                         heels <lora:sweetlolitaXLv6:0.8> <lora:teenCla1rev1:0.8>', '', [], 20, 12, 12, True, False,
                         False, False, 1, 1, 4, 5, 0.7, 0, 0.5, 1, 1, 4016421155.0, -1.0, 0, 0, 0, 1152, 768, True,
                         0.45, 2, 1, 'Add with forward', 'chaiNNer 4xLexicaDAT2_otf', True, 15, 0, 0, 10, 0, '', '', 0,
                         0, 0, 0, False, 4, 0.95, False, 0.6, 1, '#000000', 0, [], 0, 1, 'None', 'None', 'None', 'None',
                         0.5, 0.5, 0.5, 0.5, None, None, None, None, False, False, False, False, 0, 0, 0, 0, 1, 1, 1, 1,
                         None, None, None, None, False, '', False, 0, '', [], 0, '', [], 0, '', [], False, True, False,
                         True, False, False, 0, True, False, {'ad_model': 'person_yolov8s-seg.pt', 'ad_model_classes':
                         '', 'ad_tab_enable': True, 'ad_prompt': 'young lolita girl teenCla1re, wearing an over the top
                         sweetegl dress with lots of lace and bows and print and patterns, patterned tights,
                         ostentatious mary jane heels, highly detailed, <lora:sweetlolitaXLv6:1.0>
                         <lora:teenCla1rev1:0.8>', 'ad_negative_prompt': 'NDXL', 'ad_confidence': 0.64,
                         'ad_mask_k_largest': 1, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
                         'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding':
                         32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM', 'ad_scheduler': 'Use
                         same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'mediapipe_face_full', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': 'young
                         lolita girl teenCla1re, fFaceDetail-SDXL EyeDetail-SDXL highly detailed, pretty, cute,
                         (lolita), kawaii, (girly), pink <lora:teenCla1rev1:1.0>', 'ad_negative_prompt': '',
                         'ad_confidence': 0.66, 'ad_mask_k_largest': 1, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1,
                         'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
                         'ad_mask_blur': 4, 'ad_denoising_strength': 0.45, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM',
                         'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier':
                         1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False,
                         'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'mediapipe_face_mesh_eyes_only', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt':
                         'black lolita eyeliner, thick eyelashes', 'ad_negative_prompt': '', 'ad_confidence': 0.5,
                         'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
                         'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding':
                         32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM', 'ad_scheduler': 'Use
                         same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'adetailerFootYolov8x_v20.pt', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt':
                         'candy themed lolita heels', 'ad_negative_prompt': '', 'ad_confidence': 0.5,
                         'ad_mask_k_largest': 2, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio': 1, 'ad_x_offset': 0,
                         'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'Merge', 'ad_mask_blur': 4,
                         'ad_denoising_strength': 0.35, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 40, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'DDIM',
                         'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier':
                         1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False,
                         'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt':
                         '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio':
                         1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
                         'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler':
                         'Default', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False,
                         'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face':
                         False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight':
                         1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()},
                         {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '',
                         'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0,
                         'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4,
                         'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4,
                         'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32,
                         'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'Default', 'ad_scheduler':
                         'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, {'ad_model':
                         'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '', 'ad_negative_prompt':
                         '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0, 'ad_mask_max_ratio':
                         1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4, 'ad_mask_merge_invert': 'None',
                         'ad_mask_blur': 4, 'ad_denoising_strength': 0.4, 'ad_inpaint_only_masked': True,
                         'ad_inpaint_only_masked_padding': 32, 'ad_use_inpaint_width_height': False, 'ad_inpaint_width':
                         512, 'ad_inpaint_height': 512, 'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale':
                         False, 'ad_cfg_scale': 7, 'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint',
                         'ad_use_vae': False, 'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler':
                         'Default', 'ad_scheduler': 'Use same scheduler', 'ad_use_noise_multiplier': False,
                         'ad_noise_multiplier': 1, 'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face':
                         False, 'ad_controlnet_model': 'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight':
                         1, 'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()},
                         {'ad_model': 'None', 'ad_model_classes': '', 'ad_tab_enable': True, 'ad_prompt': '',
                         'ad_negative_prompt': '', 'ad_confidence': 0.3, 'ad_mask_k_largest': 0, 'ad_mask_min_ratio': 0,
                         'ad_mask_max_ratio': 1, 'ad_x_offset': 0, 'ad_y_offset': 0, 'ad_dilate_erode': 4,
                         'ad_mask_merge_invert': 'None', 'ad_mask_blur': 4, 'ad_denoising_strength': 0.4,
                         'ad_inpaint_only_masked': True, 'ad_inpaint_only_masked_padding': 32,
                         'ad_use_inpaint_width_height': False, 'ad_inpaint_width': 512, 'ad_inpaint_height': 512,
                         'ad_use_steps': False, 'ad_steps': 28, 'ad_use_cfg_scale': False, 'ad_cfg_scale': 7,
                         'ad_use_checkpoint': False, 'ad_checkpoint': 'Use same checkpoint', 'ad_use_vae': False,
                         'ad_vae': 'Use same VAE', 'ad_use_sampler': False, 'ad_sampler': 'Default', 'ad_scheduler':
                         'Use same scheduler', 'ad_use_noise_multiplier': False, 'ad_noise_multiplier': 1,
                         'ad_use_clip_skip': False, 'ad_clip_skip': 1, 'ad_restore_face': False, 'ad_controlnet_model':
                         'None', 'ad_controlnet_module': 'None', 'ad_controlnet_weight': 1,
                         'ad_controlnet_guidance_start': 0, 'ad_controlnet_guidance_end': 1, 'is_api': ()}, 'None', [],
                         'FaceID Base', True, True, 1, 1, 1, 0.5, True, 'person', 1, 0.5, True, 'None', 16, 'None', 1,
                         True, 'None', 2, True, 1, 0, True, 'none', 3, 4, 0.25, 0.25, 'THUDM/CogVid kwargs={}
11:13:26-765341 ERROR    gradio call: AttributeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\automatic\modules\call_queue.py:31 in f                                                                           │
│                                                                                                                      │
│   30 │   │   │   try:                                                                                                │
│ ❱ 31 │   │   │   │   res = func(*args, **kwargs)                                                                     │
│   32 │   │   │   │   progress.record_results(id_task, res)                                                           │
│                                                                                                                      │
│ D:\automatic\modules\txt2img.py:94 in txt2img                                                                        │
│                                                                                                                      │
│    93 │   if processed is None:                                                                                      │
│ ❱  94 │   │   processed = processing.process_images(p)                                                               │
│    95 │   processed = scripts.scripts_txt2img.after(p, processed, *args)                                             │
│                                                                                                                      │
│ D:\automatic\modules\processing.py:201 in process_images                                                             │
│                                                                                                                      │
│   200 │   │   │   with context_hypertile_vae(p), context_hypertile_unet(p):                                          │
│ ❱ 201 │   │   │   │   processed = process_images_inner(p)                                                            │
│   202                                                                                                                │
│                                                                                                                      │
│ D:\automatic\modules\processing.py:325 in process_images_inner                                                       │
│                                                                                                                      │
│   324 │   │   │   │   │   from modules.processing_diffusers import process_diffusers                                 │
│ ❱ 325 │   │   │   │   │   samples = process_diffusers(p)                                                             │
│   326 │   │   │   │   else:                                                                                          │
│                                                                                                                      │
│ D:\automatic\modules\processing_diffusers.py:387 in process_diffusers                                                │
│                                                                                                                      │
│   386 │   if 'base' not in p.skip:                                                                                   │
│ ❱ 387 │   │   output = process_base(p)                                                                               │
│   388 │   else:                                                                                                      │
│                                                                                                                      │
│ D:\automatic\modules\processing_diffusers.py:95 in process_base                                                      │
│                                                                                                                      │
│    94 │   │   else:                                                                                                  │
│ ❱  95 │   │   │   output = shared.sd_model(**base_args)                                                              │
│    96 │   │   if isinstance(output, dict):                                                                           │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\utils\_contextlib.py:116 in decorate_context                               │
│                                                                                                                      │
│   115 │   │   with ctx_factory():                                                                                    │
│ ❱ 116 │   │   │   return func(*args, **kwargs)                                                                       │
│   117                                                                                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\diffusers\pipelines\stable_diffusion_xl\pipeline_stable_diffusion_xl.py:1199 in  │
│                                                                                                                      │
│   1198 │   │   │   │   │   added_cond_kwargs["image_embeds"] = image_embeds                                          │
│ ❱ 1199 │   │   │   │   noise_pred = self.unet(                                                                       │
│   1200 │   │   │   │   │   latent_model_input,                                                                       │
│                                                                                                                      │
│                                               ... 9 frames hidden ...                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_2d.py:407 in forward                   │
│                                                                                                                      │
│   406 │   │   │   residual = hidden_states                                                                           │
│ ❱ 407 │   │   │   hidden_states, inner_dim = self._operate_on_continuous_inputs(hidden_states)                       │
│   408 │   │   elif self.is_input_vectorized:                                                                         │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\diffusers\models\transformers\transformer_2d.py:490 in _operate_on_continuous_in │
│                                                                                                                      │
│   489 │   │   │   hidden_states = hidden_states.permute(0, 2, 3, 1).reshape(batch, height * width, inner_dim)        │
│ ❱ 490 │   │   │   hidden_states = self.proj_in(hidden_states)                                                        │
│   491                                                                                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1553 in _wrapped_call_impl                            │
│                                                                                                                      │
│   1552 │   │   else:                                                                                                 │
│ ❱ 1553 │   │   │   return self._call_impl(*args, **kwargs)                                                           │
│   1554                                                                                                               │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1562 in _call_impl                                    │
│                                                                                                                      │
│   1561 │   │   │   │   or _global_forward_hooks or _global_forward_pre_hooks):                                       │
│ ❱ 1562 │   │   │   return forward_call(*args, **kwargs)                                                              │
│   1563                                                                                                               │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\peft\tuners\lora\layer.py:572 in forward                                         │
│                                                                                                                      │
│    571 │   │   │   │   │   x = dropout(x)                                                                            │
│ ❱  572 │   │   │   │   │   result = result + self._apply_dora(x, lora_A, lora_B, scaling, active_adapter)            │
│    573                                                                                                               │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\peft\tuners\lora\layer.py:266 in _apply_dora                                     │
│                                                                                                                      │
│    265 │   │   lora_weight = lora_B.weight @ lora_A.weight                                                           │
│ ❱  266 │   │   magnitude = self.lora_magnitude_vector[active_adapter]                                                │
│    267 │   │   base_layer = self.get_base_layer()                                                                    │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\container.py:738 in __getitem__                                 │
│                                                                                                                      │
│   737 │   │   attr = self._key_to_attr(key)                                                                          │
│ ❱ 738 │   │   return getattr(self, attr)                                                                             │
│   739                                                                                                                │
│                                                                                                                      │
│ D:\automatic\venv\Lib\site-packages\torch\nn\modules\module.py:1729 in __getattr__                                   │
│                                                                                                                      │
│   1728 │   │   │   │   return modules[name]                                                                          │
│ ❱ 1729 │   │   raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")                     │
│   1730                                                                                                               │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: 'ParameterDict' object has no attribute 'sweetlolitaXLv6'
11:13:27-602119 DEBUG    GC: utilization={'gpu': 0, 'ram': 25, 'threshold': 25} gc={'collected': 164, 'saved': 0}
                         before={'gpu': 0, 'ram': 8.02} after={'gpu': 0, 'ram': 8.01, 'retries': 0, 'oom': 0} device=cpu
                         fn=end time=0.29
11:14:00-107129 DEBUG    Server: alive=True jobs=1 requests=407 uptime=636 memory=8.01/31.9 backend=Backend.DIFFUSERS
                         state=idle```

vladmandic · 2024-10-02T21:10:36Z

Managed to get it running, had the same error with the force lora loading through diffusers setting turned off.

its not turned off - look at the log:

11:04:34-708176 DEBUG Load network: type=LoRA name="sweetlolitaXLv6" file="D:\Stable Diffusion Files\Models\Loras\sweetlolitaXLv6.safetensors" detected=xl method=diffusers scale=0.8 fuse=False

disable offload:balanced and then disable force diffusers, restart server and try.

and please any time you're creating an issue, simplifiy to bare minimum.
hypertile? disable it. multiple loras you have right now? disable, leave only problematic one.
think of someone trying to help, navigating through combination of iterms is 10x harder than with a simple and straightforward reproduction.

vladmandic · 2024-10-02T21:13:53Z

a bit off-topic: sdnext does support dora, but internally how dora weights are calculated in runtime makes dora about 3x slower than anything else. when i'm using ANY dora, my performance tanks - for sdxl at 1024 i go down from 8its to 3its. dora may look great, but its really slow.

MysticDaedra · 2024-10-03T02:33:41Z

I am running --medvram, thought that disabled/overrode the model offload settings? I'll try it again in a bit.

I've never experienced noticeable slow-downs using DoRA. Could be that is something that is noticeable at faster base speeds, but if it's already slow it isn't noticeable? I dunno.

If I disable too many options I won't be able to run SDXL at all (8gb VRAM), which is why I haven't disabled things like hypertile etc. Plus the fact that I've kept these things enabled for months and not had a problem with them. But I'll try for the sake of troubleshooting.

vladmandic · 2024-10-03T14:23:04Z

I am running --medvram, thought that disabled/overrode the model offload settings? I'll try it again in a bit.

please do.
but anyhow, latest dev update removes the limitation on offloading so you can enable/disable force-lora-diffusers separately on its own.

If I disable too many options I won't be able to run SDXL at all (8gb VRAM), which is why I haven't disabled things like hypertile etc. Plus the fact that I've kept these things enabled for months and not had a problem with them. But I'll try for the sake of troubleshooting.

i only ask to disable everything that is not related to issue to simply issue troubleshooting. if nothing else, remember that i have to read the logs and more unrelated stuff is there, harder for me is to help you.

MysticDaedra · 2024-10-03T15:25:39Z

Look at the time-stamps here, I think it's been "thinking" for at least an hour now lmao. Before you ask/suggest... I've used this DoRA on SDNext before (last time successfully was the 2nd of September, don't remember which dev build that was), and also on SD Forge. No comments about it being borked on CivitAI either.

Possible that I've forgotten to turn something off, but I've disabled hypertile and everything else I can think of. Left --medvram on, but turned model offloading to None.

Using VENV: D:\automatic\venv
05:49:55-310203 INFO     Starting SD.Next
05:49:55-324717 INFO     Logger: file="D:\automatic\sdnext.log" level=DEBUG size=65 mode=create
05:49:55-326221 INFO     Python: version=3.11.8 platform=Windows bin="D:\automatic\venv\Scripts\Python.exe"
                         venv="D:\automatic\venv"
05:49:56-564183 INFO     Version: app=sd.next updated=2024-10-02 hash=e8e05b7d branch=dev
                         url=https://github.com/vladmandic/automatic/tree/dev ui=dev
05:49:57-570968 INFO     Updating main repository
05:50:01-205042 INFO     Repository upgraded: e8e05b7d Wed Oct 2 12:48:37 2024 -0400
05:50:01-235648 INFO     Platform: arch=AMD64 cpu=AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD system=Windows
                         release=Windows-10-10.0.22631-SP0 python=3.11.8
05:50:01-237158 DEBUG    Setting environment tuning
05:50:01-238162 DEBUG    Torch allocator:
                         "garbage_collection_threshold:0.25,max_split_size_mb:512,backend:cudaMallocAsync"
05:50:01-256172 DEBUG    Torch overrides: cuda=False rocm=False ipex=False diml=False openvino=False zluda=False
05:50:01-274696 INFO     CUDA: nVidia toolkit detected
05:50:01-538069 INFO     Verifying requirements
05:50:01-546074 INFO     Verifying packages
05:50:01-547088 INFO     Startup: standard
05:50:01-547594 INFO     Verifying submodules
05:50:08-567668 DEBUG    Git submodule: extensions-builtin/sd-extension-chainner / main
05:50:09-604124 DEBUG    Git submodule: extensions-builtin/sd-extension-system-info / main
05:50:10-695190 DEBUG    Git submodule: extensions-builtin/sd-webui-agent-scheduler / main
05:50:11-742696 DEBUG    Git submodule: extensions-builtin/sdnext-modernui / dev
05:50:12-844195 DEBUG    Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master
05:50:13-951687 DEBUG    Git submodule: modules/k-diffusion / master
05:50:15-005116 DEBUG    Git submodule: wiki / master
05:50:16-195830 DEBUG    Register paths
05:50:16-283610 DEBUG    Installed packages: 215
05:50:16-285109 DEBUG    Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg']
05:50:17-169816 DEBUG    Git submodule: extensions-builtin\sd-extension-chainner / main
05:50:18-293407 DEBUG    Git submodule: extensions-builtin\sd-extension-system-info / main
05:50:19-441063 DEBUG    Git submodule: extensions-builtin\sd-webui-agent-scheduler / main
05:50:20-388397 DEBUG    Extension installer: D:\automatic\extensions-builtin\sd-webui-agent-scheduler\install.py
05:50:25-170040 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-images-browser / main
05:50:26-292031 DEBUG    Extension installer:
                         D:\automatic\extensions-builtin\stable-diffusion-webui-images-browser\install.py
05:50:28-977349 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-rembg / master
05:50:29-930353 DEBUG    Extension installer: D:\automatic\extensions-builtin\stable-diffusion-webui-rembg\install.py
05:50:38-454790 DEBUG    Extensions all: ['adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'ultimate-upscale-for-automatic1111']
05:50:38-570122 DEBUG    Git submodule: extensions\adetailer / main
05:50:39-563270 DEBUG    Extension installer: D:\automatic\extensions\adetailer\install.py
05:50:39-981038 DEBUG    Git submodule: extensions\canvas-zoom / main
05:50:40-936724 DEBUG    Extension installer: D:\automatic\extensions\canvas-zoom\install.py
05:50:51-844773 DEBUG    Git submodule: extensions\sd-webui-infinite-image-browsing / main
05:50:52-820753 DEBUG    Extension installer: D:\automatic\extensions\sd-webui-infinite-image-browsing\install.py
05:51:14-133663 DEBUG    Git submodule: extensions\ultimate-upscale-for-automatic1111 / master
05:51:15-124184 INFO     Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg', 'adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'ultimate-upscale-for-automatic1111']
05:51:15-125181 INFO     Verifying requirements
05:51:15-126692 INFO     Updating Wiki
05:51:15-234450 DEBUG    Git submodule: D:\automatic\wiki / master
05:51:16-178864 DEBUG    Setup complete without errors: 1727959876
05:51:16-187391 DEBUG    Extension preload: {'extensions-builtin': 0.0, 'extensions': 0.0}
05:51:16-188892 DEBUG    Starting module: <module 'webui' from 'D:\\automatic\\webui.py'>
05:51:16-190392 INFO     Command line args: ['--medvram', '--upgrade', '--debug'] medvram=True upgrade=True debug=True
05:51:16-191391 DEBUG    Env flags: []
05:51:29-841059 INFO     System packages: {'torch': '2.4.1+cpu', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
                         'transformers': '4.45.1', 'accelerate': '0.33.0'}
05:51:31-337878 DEBUG    Huggingface cache: folder="C:\Users\Joshua\.cache\huggingface\hub"
05:51:31-357950 DEBUG    Read: file="config.json" json=85 bytes=5320 time=0.001
05:51:31-359449 DEBUG    Unknown settings: ['cross_attention_options', 'ad_max_models', 'civitai_link_key',
                         'multiple_tqdm', 'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score', 'image_browser_active_tabs', 'ad_extra_models_dir',
                         'canvas_zoom_mask_clear', 'canvas_zoom_draw_staight_lines', 'ad_script_names']
05:51:31-361452 INFO     Engine: backend=Backend.DIFFUSERS compute=None device=cpu attention="Scaled-Dot-Product"
                         mode=no_grad
05:51:31-370517 DEBUG    Read: file="html\reference.json" json=52 bytes=29118 time=0.008
05:51:31-470402 INFO     Torch parameters: backend=cpu device=cpu config=FP16 dtype=torch.float16 vae=torch.float16
                         unet=torch.float16 context=inference_mode nohalf=False nohalfvae=False upscast=False
                         deterministic=True test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
05:51:33-376055 DEBUG    ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['AzureExecutionProvider',
                         'CPUExecutionProvider']
05:51:33-542190 INFO     Device:
05:51:33-714206 DEBUG    Importing LDM
05:51:33-744239 DEBUG    Entering start sequence
05:51:33-748253 DEBUG    Initializing
05:51:33-810424 INFO     Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=4
05:51:33-811925 INFO     Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
05:51:33-813425 INFO     Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
05:51:33-814925 INFO     Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
05:51:33-834489 DEBUG    Read: file="cache.json" json=2 bytes=180321 time=0.011
05:51:33-914738 DEBUG    Read: file="metadata.json" json=1637 bytes=19782667 time=0.078
05:51:33-930794 DEBUG    Scanning diffusers cache: folder="D:\Stable Diffusion Files\Models\Diffusers" items=4 time=0.00
05:51:33-932297 INFO     Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=25 time=0.12
05:51:34-064229 DEBUG    Load extensions
05:51:34-190573 INFO     Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
                         [2;36m05:51:34-186052[0m[2;36m [0m[34mINFO    [0m Available LoRAs: [33mitems[0m=[1;36m109[0m
                         [33mfolders[0m=[1;36m2[0m
05:51:34-920425 INFO     Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using
                         sqlite file: extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3
05:51:35-348484 INFO     Extension: script='extensions\adetailer\scripts\!adetailer.py' [-] ADetailer initialized.
                         version: 24.9.0, num models: 20
05:51:35-422878 DEBUG    Extensions init time: 1.36 sd-extension-chainner=0.06 sd-webui-agent-scheduler=0.66
                         stable-diffusion-webui-images-browser=0.21 adetailer=0.21 sd-webui-infinite-image-browsing=0.07
05:51:35-454944 DEBUG    Read: file="html/upscalers.json" json=4 bytes=2672 time=0.006
05:51:35-461472 DEBUG    Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.005
05:51:35-464972 DEBUG    chaiNNer models: path="D:\Stable Diffusion Files\Models\chaiNNer" defined=24 discovered=8
                         downloaded=16
05:51:35-470338 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN"
                         model="4x_foolhardy_Remacri" path="D:\Stable Diffusion
                         Files\Models\ESRGAN\4x_foolhardy_Remacri.pth"
05:51:35-471838 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN" model="4x_NMKD-Siax_200k"
                         path="D:\Stable Diffusion Files\Models\ESRGAN\4x_NMKD-Siax_200k.pth"
05:51:35-474837 DEBUG    Upscaler type=SwinIR folder="D:\Stable Diffusion Files\Models\SwinIR" model="SwinIR_4x"
                         path="D:\Stable Diffusion Files\Models\SwinIR\SwinIR_4x.pth"
05:51:35-478363 INFO     Available Upscalers: items=64 downloaded=29 user=11 time=0.05 types=['None', 'Lanczos',
                         'Nearest', 'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
05:51:35-934468 INFO     Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.45
05:51:35-940497 DEBUG    Creating UI
05:51:35-941996 DEBUG    UI themes available: type=Standard themes=12
05:51:35-942997 INFO     UI theme: type=Standard name="invoked"
05:51:35-954586 DEBUG    UI theme: css="D:\automatic\javascript\invoked.css" base="sdnext.css" user="None"
05:51:35-957609 DEBUG    UI initialize: txt2img
05:51:36-261266 DEBUG    Networks: page='model' items=76 subfolders=4 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Checkpoints', 'D:\\Stable Diffusion Files\\Models\\Diffusers',
                         'models\\Reference'] list=0.25 thumb=0.03 desc=0.18 info=0.42 workers=8 sort=Date [Newest]
05:51:36-276815 DEBUG    Networks: page='lora' items=109 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Loras', 'D:\\Stable Diffusion Files\\Models\\LyCORIS'] list=0.28 thumb=0.01
                         desc=0.03 info=1.92 workers=8 sort=Date [Newest]
05:51:36-310409 DEBUG    Networks: page='style' items=297 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Styles', 'html'] list=0.24 thumb=0.01 desc=0.00 info=0.00 workers=8 sort=Date
                         [Newest]
05:51:36-314909 DEBUG    Networks: page='embedding' items=18 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Embeddings'] list=0.27 thumb=0.01 desc=0.00 info=0.06 workers=8 sort=Date
                         [Newest]
05:51:36-318933 DEBUG    Networks: page='vae' items=4 subfolders=0 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\VAE'] list=0.21 thumb=0.19 desc=0.00 info=0.01 workers=8 sort=Date [Newest]
05:51:36-509465 DEBUG    UI initialize: img2img
05:51:36-718455 DEBUG    UI initialize: control models=D:\Stable Diffusion Files\Models\Control
05:51:37-124767 DEBUG    Read: file="ui-config.json" json=145 bytes=8711 time=0.005
05:51:37-248196 DEBUG    UI themes available: type=Standard themes=12
05:51:45-627732 DEBUG    Extension list: processed=353 installed=12 enabled=10 disabled=2 visible=353 hidden=0
05:51:45-802842 DEBUG    Root paths: ['D:\\automatic']
05:51:45-910360 INFO     Local URL: http://127.0.0.1:7860/
05:51:45-911360 DEBUG    Gradio functions: registered=3939
05:51:45-914360 DEBUG    FastAPI middleware: ['Middleware', 'Middleware']
05:51:45-916873 DEBUG    Creating API
05:51:46-378962 INFO     [AgentScheduler] Task queue is empty
05:51:46-380463 INFO     [AgentScheduler] Registering APIs
IIB Database file has been successfully backed up to the backup folder.
05:51:46-594813 DEBUG    Scripts setup: ['IP Adapters:0.026', 'XYZ Grid:0.013', 'ADetailer:0.278', 'Face:0.013',
                         'AnimateDiff:0.007', 'CogVideoX:0.009', 'Ctrl-X:0.006', 'LUT Color grading:0.006', 'X/Y/Z
                         Grid:0.012', 'Image-to-Video:0.006', 'Ultimate SD upscale:0.007']
05:51:46-595818 DEBUG    Model metadata: file="metadata.json" no changes
05:51:46-597836 DEBUG    Model requested: fn=<lambda>
05:51:46-599337 INFO     Load model: select="STOIQOAfroditeXL_XL31 [03757fdcc3]"
05:51:46-600336 DEBUG    Load model: target="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" existing=False info=None
05:51:46-601836 DEBUG    Load model: path="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors"
05:51:46-602836 INFO     Autodetect model: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
05:51:46-603836 INFO     Autodetect vae: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
05:51:46-604836 INFO     Load module: type=VAE model="D:\Stable Diffusion
                         Files\Models\VAE\fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors" source=settings
                         config={'low_cpu_mem_usage': False, 'torch_dtype': torch.float16, 'use_safetensors': True,
                         'variant': 'fp16', 'force_upcast': False, 'config': 'configs/sdxl\\vae'}
Diffusers  5.48it/s ████████ 100% 7/7 00:01 00:00 Loading pipeline components...
05:51:49-589712 DEBUG    Setting model: pipeline=StableDiffusionXLPipeline config={'low_cpu_mem_usage': True,
                         'torch_dtype': torch.float16, 'load_connected_pipeline': True, 'extract_ema': True, 'config':
                         'configs/sdxl', 'use_safetensors': True, 'cache_dir':
                         'C:\\Users\\Joshua\\.cache\\huggingface\\hub', 'force_upcast': False}
05:51:53-101484 INFO     Load network: type=embeddings loaded=14 skipped=4 time=3.51
05:51:53-102984 DEBUG    Setting model: component=VAE name="fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors"
05:51:53-103984 DEBUG    Setting model: component=VAE upcast=False
05:51:53-104984 DEBUG    Setting model: component=VAE slicing=True
05:51:53-105990 DEBUG    Setting model: component=VAE tiling=True
05:51:53-107004 DEBUG    Setting model: attention="Scaled-Dot-Product"
05:51:53-130057 DEBUG    Setting model: offload=balanced
05:51:53-161616 DEBUG    Read: file="D:\automatic\configs\sdxl\vae\config.json" json=15 bytes=674 time=0.000
05:51:53-449763 DEBUG    GC: utilization={'gpu': 0, 'ram': 6, 'threshold': 25} gc={'collected': 8000, 'saved': 0}
                         before={'gpu': 0, 'ram': 1.93} after={'gpu': 0, 'ram': 1.93, 'retries': 0, 'oom': 0} device=cpu
                         fn=load_diffuser time=0.29
05:51:53-457787 INFO     Load model: time=6.56 load=2.99 embeddings=3.51 native=1024 memory={'ram': {'used': 1.93,
                         'total': 31.9}}
05:51:53-462786 DEBUG    Script callback init time: image_browser.py:ui_tabs=4.35 system-info.py:app_started=0.33
                         task_scheduler.py:app_started=0.24
05:51:53-464286 DEBUG    Save: file="config.json" json=85 bytes=5164 time=0.002
05:51:53-464788 INFO     Startup time: 37.26 torch=11.85 gradio=1.11 diffusers=0.15 libraries=4.40 samplers=0.06
                         extensions=1.36 models=0.12 face-restore=0.13 upscalers=0.06 networks=0.46 ui-networks=0.49
                         ui-txt2img=0.16 ui-img2img=0.17 ui-control=0.24 ui-settings=0.30 ui-extensions=8.23
                         ui-defaults=0.09 launch=0.18 api=0.08 app-started=0.60 checkpoint=6.86
05:51:53-467317 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
05:52:00-471670 DEBUG    Server: alive=True jobs=1 requests=1 uptime=29 memory=1.93/31.9 backend=Backend.DIFFUSERS
                         state=idle
05:53:59-508248 DEBUG    Server: alive=True jobs=1 requests=1 uptime=148 memory=1.93/31.9 backend=Backend.DIFFUSERS
                         state=idle
05:55:59-545023 DEBUG    Server: alive=True jobs=1 requests=1 uptime=269 memory=1.93/31.9 backend=Backend.DIFFUSERS
                         state=idle
05:56:56-521741 INFO     MOTD: N/A
05:57:07-502457 DEBUG    UI themes available: type=Standard themes=12
05:57:59-649664 DEBUG    Server: alive=True jobs=1 requests=180 uptime=389 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
05:58:14-334815 INFO     Browser session: user=None client=127.0.0.1 agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64;
                         rv:130.0) Gecko/20100101 Firefox/130.0
05:59:59-688893 DEBUG    Server: alive=True jobs=1 requests=205 uptime=509 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:01:59-725592 DEBUG    Server: alive=True jobs=1 requests=229 uptime=629 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:03:59-761378 DEBUG    Server: alive=True jobs=1 requests=253 uptime=749 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:05:59-797748 DEBUG    Server: alive=True jobs=1 requests=277 uptime=869 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:06:05-614986 DEBUG    Setting changed: diffusers_offload_mode=none progress=False
06:06:05-615991 DEBUG    Save: file="config.json" json=85 bytes=5160 time=0.002
06:06:05-619041 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
06:06:30-037416 INFO     Settings: changed=1 ['hypertile_unet_enabled']
06:06:30-038916 DEBUG    Save: file="config.json" json=84 bytes=5126 time=0.002
06:06:30-041415 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
06:07:13-197864 INFO     Settings: changed=1 ['lora_force_diffusers']
06:07:13-199255 DEBUG    Save: file="config.json" json=83 bytes=5094 time=0.002
06:07:13-202362 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
06:07:20-136929 WARNING  Server shutdown requested
06:07:20-826025 INFO     Server restarting...
06:07:21-303396 INFO     Server will restart
06:07:24-094222 DEBUG    Memory: 1.95/31.9 collected=436
06:07:24-095227 DEBUG    Starting module: <module 'webui' from 'D:\\automatic\\webui.py'>
06:07:24-096737 INFO     Command line args: ['--medvram', '--upgrade', '--debug'] medvram=True upgrade=True debug=True
06:07:24-098238 DEBUG    Env flags: []
06:07:24-100237 DEBUG    Entering start sequence
06:07:24-103237 DEBUG    Initializing
06:07:24-105741 INFO     Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=4
06:07:24-107298 INFO     Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
06:07:24-108797 INFO     Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
06:07:24-110796 INFO     Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
06:07:24-117319 DEBUG    Scanning diffusers cache: folder="D:\Stable Diffusion Files\Models\Diffusers" items=4 time=0.00
06:07:24-118821 INFO     Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=25 time=0.01
06:07:24-119818 DEBUG    Load extensions
06:07:24-375941 INFO     Extension: script='extensions\adetailer\scripts\!adetailer.py' [-] ADetailer initialized.
                         version: 24.9.0, num models: 20
06:07:24-380968 DEBUG    Extensions init time: 0.26 adetailer=0.18
06:07:24-382969 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN"
                         model="4x_foolhardy_Remacri" path="D:\Stable Diffusion
                         Files\Models\ESRGAN\4x_foolhardy_Remacri.pth"
06:07:24-384468 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN" model="4x_NMKD-Siax_200k"
                         path="D:\Stable Diffusion Files\Models\ESRGAN\4x_NMKD-Siax_200k.pth"
06:07:24-386991 DEBUG    Upscaler type=SwinIR folder="D:\Stable Diffusion Files\Models\SwinIR" model="SwinIR_4x"
                         path="D:\Stable Diffusion Files\Models\SwinIR\SwinIR_4x.pth"
06:07:24-388497 DEBUG    Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.000
06:07:24-390497 DEBUG    chaiNNer models: path="D:\Stable Diffusion Files\Models\chaiNNer" defined=24 discovered=8
                         downloaded=16
06:07:24-393498 INFO     Available Upscalers: items=64 downloaded=29 user=11 time=0.01 types=['None', 'Lanczos',
                         'Nearest', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR', 'ChaiNNer']
06:07:24-412565 INFO     Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.02
06:07:24-414066 DEBUG    Creating UI
06:07:24-415066 DEBUG    UI themes available: type=Standard themes=12
06:07:24-416071 INFO     UI theme: type=Standard name="invoked"
06:07:24-425126 DEBUG    UI theme: css="D:\automatic\javascript\invoked.css" base="sdnext.css" user="None"
06:07:24-427145 DEBUG    UI initialize: txt2img
06:07:24-529873 DEBUG    Networks: page='model' items=76 subfolders=4 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Checkpoints', 'D:\\Stable Diffusion Files\\Models\\Diffusers',
                         'models\\Reference'] list=0.08 thumb=0.02 desc=0.01 info=0.04 workers=8 sort=Date [Newest]
06:07:24-544900 DEBUG    Networks: page='lora' items=109 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Loras', 'D:\\Stable Diffusion Files\\Models\\LyCORIS'] list=0.08 thumb=0.02
                         desc=0.05 info=0.19 workers=8 sort=Date [Newest]
06:07:24-587164 DEBUG    Networks: page='style' items=297 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Styles', 'html'] list=0.08 thumb=0.00 desc=0.00 info=0.00 workers=8 sort=Date
                         [Newest]
06:07:24-592667 DEBUG    Networks: page='embedding' items=14 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Embeddings'] list=0.06 thumb=0.01 desc=0.01 info=0.03 workers=8 sort=Date
                         [Newest]
06:07:24-596172 DEBUG    Networks: page='vae' items=4 subfolders=0 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\VAE'] list=0.04 thumb=0.03 desc=0.00 info=0.01 workers=8 sort=Date [Newest]
06:07:24-790802 DEBUG    UI initialize: img2img
06:07:24-999944 DEBUG    UI initialize: control models=D:\Stable Diffusion Files\Models\Control
06:07:25-452112 DEBUG    Read: file="ui-config.json" json=145 bytes=8711 time=0.001
06:07:25-561431 DEBUG    UI themes available: type=Standard themes=12
06:07:30-560671 DEBUG    Extension list: processed=353 installed=12 enabled=10 disabled=2 visible=353 hidden=0
06:07:31-056780 DEBUG    Root paths: ['D:\\automatic']
06:07:31-128376 INFO     Local URL: http://127.0.0.1:7860/
06:07:31-129379 DEBUG    Gradio functions: registered=4207
06:07:31-130376 DEBUG    FastAPI middleware: ['Middleware', 'Middleware']
06:07:31-131376 DEBUG    Creating API
06:07:31-252744 INFO     [AgentScheduler] Task queue is empty
06:07:31-253744 INFO     [AgentScheduler] Registering APIs
IIB Database file has been successfully backed up to the backup folder.
06:07:31-443771 DEBUG    Scripts setup: ['IP Adapters:0.049', 'XYZ Grid:0.029', 'ADetailer:0.587', 'Face:0.026',
                         'AnimateDiff:0.015', 'CogVideoX:0.017', 'Ctrl-X:0.013', 'DemoFusion:0.006', 'HDR:0.008',
                         'LayerDiffuse:0.005', 'LUT Color grading:0.014', 'Prompt enhance:0.009', 'Prompt matrix:0.007',
                         'Prompts from file:0.007', 'Text-to-Video:0.008', 'X/Y/Z Grid:0.024', 'Image-to-Video:0.013',
                         'LEdits++:0.008', 'Stable Video Diffusion:0.011', 'Ultimate SD upscale:0.014']
06:07:31-446771 DEBUG    Model metadata: file="metadata.json" no changes
06:07:31-449773 DEBUG    Script callback init time: image_browser.py:ui_tabs=6.10 system-info.py:app_started=0.40
                         task_scheduler.py:app_started=0.45
06:07:31-450773 DEBUG    Save: file="config.json" json=83 bytes=5094 time=0.001
06:07:31-451774 INFO     Startup time: 937.98 ldm=930.63 extensions=0.26 ui-networks=0.29 ui-txt2img=0.17
                         ui-img2img=0.17 ui-control=0.27 ui-extras=0.05 ui-settings=0.27 ui-extensions=4.88
                         ui-defaults=0.41 launch=0.13 app-started=0.30
06:07:31-455774 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
06:07:33-488358 INFO     MOTD: N/A
06:07:47-043873 DEBUG    UI themes available: type=Standard themes=12
06:07:59-698660 DEBUG    Server: alive=True jobs=4 requests=158 uptime=989 memory=2.04/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:09:09-547834 INFO     Browser session: user=None client=127.0.0.1 agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64;
                         rv:130.0) Gecko/20100101 Firefox/130.0
06:09:59-739323 DEBUG    Server: alive=True jobs=4 requests=180 uptime=1109 memory=2.04/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:11:59-777597 DEBUG    Server: alive=True jobs=4 requests=204 uptime=1229 memory=2.04/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:13:59-814629 DEBUG    Server: alive=True jobs=4 requests=228 uptime=1349 memory=2.04/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:15:59-852635 DEBUG    Server: alive=True jobs=4 requests=253 uptime=1469 memory=2.04/31.9 backend=Backend.DIFFUSERS
                         state=idle
06:16:01-086792 DEBUG    Gallery: folder="D:\Stable Diffusion Files\Outputs\text" files=433 time=0.038
06:16:06-854315 DEBUG    Paste prompt: type="current" prompt="(full body photograph) of young lolita girl teenCla1re
                         (blonde hair large breasts tiny waist), wearing sweetegl dress, tights, mary jane heels
                         <lora:sweetlolitaXLv6:0.8> <lora:teenCla1rev1:0.8>
                         Steps: 45, Sampler: DPM++ 3M SDE, Schedule type: Beta, CFG scale: 4, Seed: 4016421155, Size:
                         768x1152, Model hash: 2c6435d567, Model: STOIQOAfroditeXL_XL31, Denoising strength: 0.45,
                         ADetailer model: person_yolov8s-seg.pt, ADetailer prompt: "young lolita girl teenCla1re,
                         wearing an over the top sweetegl dress with lots of lace and bows and print and patterns,
                         patterned tights, ostentatious mary jane heels, highly detailed, <lora:sweetlolitaXLv6:1.0>
                         <lora:teenCla1rev1:0.8>", ADetailer negative prompt: NDXL, ADetailer confidence: 0.64,
                         ADetailer mask only top k largest: 1, ADetailer dilate erode: 4, ADetailer mask blur: 4,
                         ADetailer denoising strength: 0.4, ADetailer inpaint only masked: True, ADetailer inpaint
                         padding: 32, ADetailer model 2nd: mediapipe_face_full, ADetailer prompt 2nd: "young lolita girl
                         teenCla1re, fFaceDetail-SDXL EyeDetail-SDXL highly detailed, pretty, cute, (lolita), kawaii,
                         (girly), pink <lora:teenCla1rev1:1.0>", ADetailer confidence 2nd: 0.66, ADetailer mask only top
                         k largest 2nd: 1, ADetailer dilate erode 2nd: 4, ADetailer mask blur 2nd: 4, ADetailer
                         denoising strength 2nd: 0.45, ADetailer inpaint only masked 2nd: True, ADetailer inpaint
                         padding 2nd: 32, ADetailer model 3rd: mediapipe_face_mesh_eyes_only, ADetailer prompt 3rd:
                         "black lolita eyeliner, thick eyelashes", ADetailer confidence 3rd: 0.5, ADetailer dilate erode
                         3rd: 4, ADetailer mask blur 3rd: 4, ADetailer denoising strength 3rd: 0.4, ADetailer inpaint
                         only masked 3rd: True, ADetailer inpaint padding 3rd: 32, ADetailer version: 24.8.0, Hires CFG
                         Scale: 4, Hires upscale: 2, Hires steps: 25, Hires upscaler: ScuNET GAN, Lora hashes:
                         "sweetlolitaXLv6: 8db5c2935356, teenCla1rev1: 34a8eeb3928f", Beta schedule alpha: 0.6, Beta
                         schedule beta: 0.6, Version: f2.0.1v1.10.1-previous-543-g22e2bc3b"
Load network: D:\Stable Diffusion Files\Models\Loras\sweetlolitaXLv6.safetensors ━━━━━━━━━━━━━━━━ 343.4/343.4 MB 0:00:00
06:16:59-442344 DEBUG    LoRA name="sweetlolitaXLv6" type={'ModuleTypeLora'} keys=722
06:16:59-472574 INFO     Load network: type=LoRA apply=['sweetlolitaXLv6'] patch=0.00 te=[0.8] unet=[[0.8, 0.8, 0.8]]
                         dims=[None] load=1.38
06:16:59-482631 INFO     Base: class=StableDiffusionXLPipeline
06:16:59-556648 DEBUG    Sampler: sampler="DPM SDE" config={'num_train_timesteps': 1000, 'beta_start': 0.00085,
                         'beta_end': 0.012, 'beta_schedule': 'scaled_linear', 'prediction_type': 'epsilon',
                         'use_karras_sigmas': True, 'noise_sampler_seed': None, 'timestep_spacing': 'leading',
                         'steps_offset': 1}
06:17:33-732745 DEBUG    Torch generator: device=cpu seeds=[3300463062]
06:17:33-738626 DEBUG    Diffuser pipeline: StableDiffusionXLPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1
                         set={'prompt_embeds': torch.Size([1, 26, 2048]), 'pooled_prompt_embeds': torch.Size([1, 1280]),
                         'negative_prompt_embeds': torch.Size([1, 26, 2048]), 'negative_pooled_prompt_embeds':
                         torch.Size([1, 1280]), 'guidance_scale': 4, 'num_inference_steps': 20, 'eta': 1.0,
                         'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 768,
                         'height': 1152, 'parser': 'xhinker parser'}
Progress ?it/s                                              0% 0/20 00:00 ? Base06:17:59-897138 DEBUG    Server: alive=True jobs=5 requests=333 uptime=1589 memory=4.99/31.9 backend=Backend.DIFFUSERS
                         state=job="txt2img" 0/1
06:19:59-937953 DEBUG    Server: alive=True jobs=5 requests=417 uptime=1709 memory=4.96/31.9 backend=Backend.DIFFUSERS
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07:20:00-353833 DEBUG    Server: alive=True jobs=5 requests=2670 uptime=5309 memory=6.46/31.9 backend=Backend.DIFFUSERS
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07:56:00-271261 DEBUG    Server: alive=True jobs=5 requests=3993 uptime=7469 memory=2.98/31.9 backend=Backend.DIFFUSERS
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08:05:59-521787 DEBUG    Server: alive=True jobs=5 requests=4370 uptime=8068 memory=3.45/31.9 backend=Backend.DIFFUSERS
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08:07:59-583411 DEBUG    Server: alive=True jobs=5 requests=4446 uptime=8189 memory=3.61/31.9 backend=Backend.DIFFUSERS
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08:09:59-632377 DEBUG    Server: alive=True jobs=5 requests=4517 uptime=8309 memory=3.16/31.9 backend=Backend.DIFFUSERS
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08:11:59-685575 DEBUG    Server: alive=True jobs=5 requests=4588 uptime=8429 memory=3.32/31.9 backend=Backend.DIFFUSERS
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08:23:59-985234 DEBUG    Server: alive=True jobs=5 requests=5027 uptime=9149 memory=2.83/31.9 backend=Backend.DIFFUSERS
                         state=job="txt2img" 0/1

vladmandic · 2024-10-03T15:43:44Z

thanks for the update.
do you by any chance have any other lora that experiences this behavior?

MysticDaedra · 2024-10-04T00:26:03Z

Tried again with a regular lora, older too (not one of mine). Still... doing whatever it is doing, assuming it is doing anything:

Using VENV: D:\automatic\venv
15:10:50-916456 INFO     Starting SD.Next
15:10:50-919968 INFO     Logger: file="D:\automatic\sdnext.log" level=DEBUG size=65 mode=create
15:10:50-920970 INFO     Python: version=3.11.8 platform=Windows bin="D:\automatic\venv\Scripts\Python.exe"
                         venv="D:\automatic\venv"
15:10:51-553328 INFO     Version: app=sd.next updated=2024-10-02 hash=e8e05b7d branch=dev
                         url=https://github.com/vladmandic/automatic/tree/dev ui=dev
15:10:52-402747 INFO     Updating main repository
15:10:56-828979 INFO     Repository upgraded: 20d28acb Thu Oct 3 16:05:22 2024 -0400
15:10:56-835981 INFO     Platform: arch=AMD64 cpu=AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD system=Windows
                         release=Windows-10-10.0.22631-SP0 python=3.11.8
15:10:56-837482 DEBUG    Setting environment tuning
15:10:56-838996 DEBUG    Torch allocator:
                         "garbage_collection_threshold:0.25,max_split_size_mb:512,backend:cudaMallocAsync"
15:10:56-854440 DEBUG    Torch overrides: cuda=False rocm=False ipex=False diml=False openvino=False zluda=False
15:10:56-865956 INFO     CUDA: nVidia toolkit detected
15:10:57-087378 INFO     Verifying requirements
15:10:57-095422 INFO     Verifying packages
15:10:57-096423 INFO     Startup: standard
15:10:57-097422 INFO     Verifying submodules
15:10:59-988329 DEBUG    Git submodule: extensions-builtin/sd-extension-chainner / main
15:11:00-658674 DEBUG    Git submodule: extensions-builtin/sd-extension-system-info / main
15:11:01-317214 DEBUG    Git submodule: extensions-builtin/sd-webui-agent-scheduler / main
15:11:01-996279 DEBUG    Git detached head detected: folder="extensions-builtin/sdnext-modernui" reattach=dev
15:11:01-998300 DEBUG    Git submodule: extensions-builtin/sdnext-modernui / dev
15:11:02-735586 DEBUG    Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master
15:11:03-388127 DEBUG    Git submodule: modules/k-diffusion / master
15:11:03-981143 DEBUG    Git submodule: wiki / master
15:11:04-920272 DEBUG    Register paths
15:11:04-985992 DEBUG    Installed packages: 215
15:11:04-988016 DEBUG    Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg']
15:11:05-548503 DEBUG    Git submodule: extensions-builtin\sd-extension-chainner / main
15:11:06-210259 DEBUG    Git submodule: extensions-builtin\sd-extension-system-info / main
15:11:07-020389 DEBUG    Git submodule: extensions-builtin\sd-webui-agent-scheduler / main
15:11:07-602365 DEBUG    Extension installer: D:\automatic\extensions-builtin\sd-webui-agent-scheduler\install.py
15:11:11-644805 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-images-browser / main
15:11:12-313732 DEBUG    Extension installer:
                         D:\automatic\extensions-builtin\stable-diffusion-webui-images-browser\install.py
15:11:14-464181 DEBUG    Git submodule: extensions-builtin\stable-diffusion-webui-rembg / master
15:11:15-036161 DEBUG    Extension installer: D:\automatic\extensions-builtin\stable-diffusion-webui-rembg\install.py
15:11:22-284698 DEBUG    Extensions all: ['adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'ultimate-upscale-for-automatic1111']
15:11:22-322352 DEBUG    Git submodule: extensions\adetailer / main
15:11:22-976322 DEBUG    Extension installer: D:\automatic\extensions\adetailer\install.py
15:11:23-214162 DEBUG    Git submodule: extensions\canvas-zoom / main
15:11:23-837231 DEBUG    Extension installer: D:\automatic\extensions\canvas-zoom\install.py
15:11:34-157251 DEBUG    Git submodule: extensions\sd-webui-infinite-image-browsing / main
15:11:34-774734 DEBUG    Extension installer: D:\automatic\extensions\sd-webui-infinite-image-browsing\install.py
15:11:52-874312 DEBUG    Git submodule: extensions\ultimate-upscale-for-automatic1111 / master
15:11:53-515793 INFO     Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
                         'sd-webui-agent-scheduler', 'stable-diffusion-webui-images-browser',
                         'stable-diffusion-webui-rembg', 'adetailer', 'canvas-zoom', 'sd-webui-infinite-image-browsing',
                         'ultimate-upscale-for-automatic1111']
15:11:53-515793 INFO     Verifying requirements
15:11:53-517296 INFO     Updating Wiki
15:11:53-547121 DEBUG    Git submodule: D:\automatic\wiki / master
15:11:54-174060 DEBUG    Setup complete without errors: 1727993514
15:11:54-181077 DEBUG    Extension preload: {'extensions-builtin': 0.0, 'extensions': 0.0}
15:11:54-182077 DEBUG    Starting module: <module 'webui' from 'D:\\automatic\\webui.py'>
15:11:54-183076 INFO     Command line args: ['--medvram', '--upgrade', '--debug', '--share'] medvram=True share=True
                         upgrade=True debug=True
15:11:54-185078 DEBUG    Env flags: []
15:12:06-673199 INFO     System packages: {'torch': '2.4.1+cpu', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
                         'transformers': '4.45.1', 'accelerate': '0.33.0'}
15:12:07-917853 DEBUG    Huggingface cache: folder="C:\Users\Joshua\.cache\huggingface\hub"
15:12:07-950211 DEBUG    Read: file="config.json" json=83 bytes=5248 time=0.000
15:12:07-951208 DEBUG    Unknown settings: ['cross_attention_options', 'ad_max_models', 'civitai_link_key',
                         'multiple_tqdm', 'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score', 'image_browser_active_tabs', 'ad_extra_models_dir',
                         'canvas_zoom_mask_clear', 'canvas_zoom_draw_staight_lines', 'ad_script_names']
15:12:07-953209 INFO     Engine: backend=Backend.DIFFUSERS compute=None device=cpu attention="Scaled-Dot-Product"
                         mode=no_grad
15:12:07-960634 DEBUG    Read: file="html\reference.json" json=52 bytes=29118 time=0.006
15:12:08-061550 INFO     Torch parameters: backend=cpu device=cpu config=FP16 dtype=torch.float16 vae=torch.float16
                         unet=torch.float16 context=inference_mode nohalf=False nohalfvae=False upscast=False
                         deterministic=True test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
15:12:09-835293 DEBUG    ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['AzureExecutionProvider',
                         'CPUExecutionProvider']
15:12:09-995095 INFO     Device:
15:12:10-135531 DEBUG    Importing LDM
15:12:10-160140 DEBUG    Entering start sequence
15:12:10-163140 DEBUG    Initializing
15:12:10-219742 INFO     Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=4
15:12:10-220752 INFO     Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
15:12:10-222754 INFO     Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
15:12:10-223752 INFO     Disabled extensions: ['sd-webui-controlnet', 'sdnext-modernui']
15:12:10-242636 DEBUG    Read: file="cache.json" json=2 bytes=180321 time=0.007
15:12:10-335429 DEBUG    Read: file="metadata.json" json=1637 bytes=19782667 time=0.092
15:12:10-352120 DEBUG    Scanning diffusers cache: folder="D:\Stable Diffusion Files\Models\Diffusers" items=4 time=0.00
15:12:10-353131 INFO     Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=25 time=0.13
15:12:10-469578 DEBUG    Load extensions
15:12:10-596978 INFO     Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
                         [2;36m15:12:10-590979[0m[2;36m [0m[34mINFO    [0m Available LoRAs: [33mitems[0m=[1;36m109[0m
                         [33mfolders[0m=[1;36m2[0m
15:12:11-316994 INFO     Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using
                         sqlite file: extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3
15:12:11-767150 INFO     Extension: script='extensions\adetailer\scripts\!adetailer.py' [-] ADetailer initialized.
                         version: 24.9.0, num models: 20
15:12:11-841997 DEBUG    Extensions init time: 1.37 sd-extension-chainner=0.06 sd-webui-agent-scheduler=0.65
                         stable-diffusion-webui-images-browser=0.22 adetailer=0.23 sd-webui-infinite-image-browsing=0.07
15:12:11-870106 DEBUG    Read: file="html/upscalers.json" json=4 bytes=2672 time=0.006
15:12:11-876611 DEBUG    Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.004
15:12:11-881444 DEBUG    chaiNNer models: path="D:\Stable Diffusion Files\Models\chaiNNer" defined=24 discovered=8
                         downloaded=16
15:12:11-885444 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN"
                         model="4x_foolhardy_Remacri" path="D:\Stable Diffusion
                         Files\Models\ESRGAN\4x_foolhardy_Remacri.pth"
15:12:11-885444 DEBUG    Upscaler type=ESRGAN folder="D:\Stable Diffusion Files\Models\ESRGAN" model="4x_NMKD-Siax_200k"
                         path="D:\Stable Diffusion Files\Models\ESRGAN\4x_NMKD-Siax_200k.pth"
15:12:11-889005 DEBUG    Upscaler type=SwinIR folder="D:\Stable Diffusion Files\Models\SwinIR" model="SwinIR_4x"
                         path="D:\Stable Diffusion Files\Models\SwinIR\SwinIR_4x.pth"
15:12:11-892004 INFO     Available Upscalers: items=64 downloaded=29 user=11 time=0.05 types=['None', 'Lanczos',
                         'Nearest', 'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
15:12:12-333270 INFO     Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.44
15:12:12-339509 DEBUG    Creating UI
15:12:12-340514 DEBUG    UI themes available: type=Standard themes=12
15:12:12-341514 INFO     UI theme: type=Standard name="invoked"
15:12:12-349091 DEBUG    UI theme: css="D:\automatic\javascript\invoked.css" base="sdnext.css" user="None"
15:12:12-352091 DEBUG    UI initialize: txt2img
15:12:12-638405 DEBUG    Networks: page='model' items=76 subfolders=4 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Checkpoints', 'D:\\Stable Diffusion Files\\Models\\Diffusers',
                         'models\\Reference'] list=0.23 thumb=0.02 desc=0.01 info=0.44 workers=8 sort=Date [Newest]
15:12:12-649971 DEBUG    Networks: page='lora' items=109 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Loras', 'D:\\Stable Diffusion Files\\Models\\LyCORIS'] list=0.27 thumb=0.01
                         desc=0.03 info=1.54 workers=8 sort=Date [Newest]
15:12:12-675035 DEBUG    Networks: page='style' items=297 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Styles', 'html'] list=0.23 thumb=0.01 desc=0.00 info=0.00 workers=8 sort=Date
                         [Newest]
15:12:12-679062 DEBUG    Networks: page='embedding' items=18 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\Embeddings'] list=0.26 thumb=0.00 desc=0.00 info=0.24 workers=8 sort=Date
                         [Newest]
15:12:12-682062 DEBUG    Networks: page='vae' items=4 subfolders=0 tab=txt2img folders=['D:\\Stable Diffusion
                         Files\\Models\\VAE'] list=0.21 thumb=0.19 desc=0.00 info=0.02 workers=8 sort=Date [Newest]
15:12:12-867316 DEBUG    UI initialize: img2img
15:12:13-068485 DEBUG    UI initialize: control models=D:\Stable Diffusion Files\Models\Control
15:12:13-467227 DEBUG    Read: file="ui-config.json" json=145 bytes=8711 time=0.006
15:12:13-583732 DEBUG    UI themes available: type=Standard themes=12
15:12:19-611744 DEBUG    Extension list: processed=353 installed=12 enabled=10 disabled=2 visible=353 hidden=0
15:12:19-778849 DEBUG    Root paths: ['D:\\automatic']
15:12:21-315150 INFO     Local URL: http://127.0.0.1:7860/
15:12:21-316663 INFO     Share URL: https://d8de44f30b7dbc36ac.gradio.live
15:12:21-317200 DEBUG    Gradio functions: registered=3945
15:12:21-320236 DEBUG    FastAPI middleware: ['Middleware', 'Middleware']
15:12:21-323746 DEBUG    Creating API
15:12:21-519878 INFO     [AgentScheduler] Task queue is empty
15:12:21-520888 INFO     [AgentScheduler] Registering APIs
IIB Database file has been successfully backed up to the backup folder.
15:12:22-019278 DEBUG    Scripts setup: ['IP Adapters:0.024', 'XYZ Grid:0.012', 'ADetailer:0.271', 'Face:0.015',
                         'AnimateDiff:0.007', 'CogVideoX:0.008', 'Ctrl-X:0.007', 'Text-to-Video:0.005', 'X/Y/Z
                         Grid:0.011', 'Image-to-Video:0.005', 'Stable Video Diffusion:0.005', 'Ultimate SD
                         upscale:0.007']
15:12:22-021279 DEBUG    Model metadata: file="metadata.json" no changes
15:12:22-022280 DEBUG    Model requested: fn=<lambda>
15:12:22-023279 INFO     Load model: select="STOIQOAfroditeXL_XL31 [03757fdcc3]"
15:12:22-024278 DEBUG    Load model: target="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" existing=False info=None
15:12:22-025311 DEBUG    Load model: path="D:\Stable Diffusion
                         Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors"
15:12:22-027374 INFO     Autodetect model: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
15:12:22-028383 INFO     Autodetect vae: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
                         Diffusion Files\Models\Checkpoints\STOIQOAfroditeXL_XL31.safetensors" size=6618MB
15:12:22-029491 INFO     Load module: type=VAE model="D:\Stable Diffusion
                         Files\Models\VAE\fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors" source=settings
                         config={'low_cpu_mem_usage': False, 'torch_dtype': torch.float16, 'use_safetensors': True,
                         'variant': 'fp16', 'force_upcast': False, 'config': 'configs/sdxl\\vae'}
Diffusers  4.49it/s ████████ 100% 7/7 00:01 00:00 Loading pipeline components...
15:12:25-520518 DEBUG    Setting model: pipeline=StableDiffusionXLPipeline config={'low_cpu_mem_usage': True,
                         'torch_dtype': torch.float16, 'load_connected_pipeline': True, 'extract_ema': True, 'config':
                         'configs/sdxl', 'use_safetensors': True, 'cache_dir':
                         'C:\\Users\\Joshua\\.cache\\huggingface\\hub', 'force_upcast': False}
15:12:29-087279 INFO     Load network: type=embeddings loaded=14 skipped=4 time=3.56
15:12:29-088651 DEBUG    Setting model: component=VAE name="fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors"
15:12:29-089320 DEBUG    Setting model: component=VAE upcast=False
15:12:29-090323 DEBUG    Setting model: component=VAE slicing=True
15:12:29-091323 DEBUG    Setting model: component=VAE tiling=True
15:12:29-092323 DEBUG    Setting model: attention="Scaled-Dot-Product"
15:12:29-112865 DEBUG    Setting model: offload=none
15:12:29-114865 DEBUG    Read: file="D:\automatic\configs\sdxl\vae\config.json" json=15 bytes=674 time=0.000
15:12:29-386735 DEBUG    GC: utilization={'gpu': 0, 'ram': 6, 'threshold': 25} gc={'collected': 5327, 'saved': 0}
                         before={'gpu': 0, 'ram': 1.95} after={'gpu': 0, 'ram': 1.95, 'retries': 0, 'oom': 0} device=cpu
                         fn=load_diffuser time=0.27
15:12:29-393326 INFO     Load model: time=7.09 load=3.50 embeddings=3.56 native=1024 memory={'ram': {'used': 1.95,
                         'total': 31.9}}
15:12:29-395325 DEBUG    Script callback init time: image_browser.py:ui_tabs=4.44 system-info.py:app_started=0.07
                         task_scheduler.py:app_started=0.26 iib_setup.py:app_started=0.29
15:12:29-397346 DEBUG    Save: file="config.json" json=83 bytes=5094 time=0.002
15:12:29-398352 INFO     Startup time: 35.21 torch=10.85 gradio=1.02 diffusers=0.13 libraries=3.95 samplers=0.06
                         extensions=1.37 models=0.13 face-restore=0.11 upscalers=0.05 networks=0.45 ui-networks=0.44
                         ui-txt2img=0.16 ui-img2img=0.17 ui-control=0.23 ui-extras=0.05 ui-settings=0.29
                         ui-extensions=5.88 ui-defaults=0.09 launch=1.61 api=0.08 app-started=0.62 checkpoint=7.38
15:12:29-399633 DEBUG    Unused settings: ['cross_attention_options', 'civitai_link_key', 'multiple_tqdm',
                         'ad_same_seed_for_each_tap', 'mudd_states', 'civitai_folder_lyco',
                         'diffusers_aesthetics_score']
15:14:00-428396 DEBUG    Server: alive=True jobs=1 requests=2 uptime=113 memory=1.95/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:15:45-491982 INFO     MOTD: N/A
15:15:59-523258 DEBUG    Server: alive=True jobs=1 requests=162 uptime=232 memory=1.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:15:59-707620 DEBUG    UI themes available: type=Standard themes=12
15:17:45-272273 INFO     Browser session: user=None client=172.31.36.166 agent=Mozilla/5.0 (X11; Linux x86_64; rv:129.0)
                         Gecko/20100101 Firefox/129.0
15:17:59-557261 DEBUG    Server: alive=True jobs=1 requests=333 uptime=352 memory=1.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:19:59-590663 DEBUG    Server: alive=True jobs=1 requests=345 uptime=472 memory=1.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:21:59-624055 DEBUG    Server: alive=True jobs=1 requests=378 uptime=592 memory=1.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
Load network: D:\Stable Diffusion Files\Models\Loras\xl-blue-skin.safetensors ━━━━━━━━━━━━━━━━━━━━━ 85.4/85.4 MB 0:00:00
15:22:29-867646 DEBUG    LoRA name="xl-blue-skin" type={'ModuleTypeLora'} keys=722
15:22:29-878649 INFO     Load network: type=LoRA apply=['xl-blue-skin'] patch=0.00 te=[1.0] unet=[[1.0, 1.0, 1.0]]
                         dims=[None] load=0.42
15:22:29-885646 INFO     Base: class=StableDiffusionXLPipeline
15:22:29-915653 DEBUG    Sampler: sampler="DPM SDE" class="DPMSolverSDEScheduler config={'num_train_timesteps': 1000,
                         'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': 'scaled_linear', 'prediction_type':
                         'epsilon', 'use_karras_sigmas': False, 'noise_sampler_seed': None, 'timestep_spacing':
                         'leading', 'steps_offset': 1}
15:22:57-382421 DEBUG    Torch generator: device=cpu seeds=[1340059531]
15:22:57-383419 DEBUG    Diffuser pipeline: StableDiffusionXLPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1
                         set={'prompt_embeds': torch.Size([1, 23, 2048]), 'pooled_prompt_embeds': torch.Size([1, 1280]),
                         'negative_prompt_embeds': torch.Size([1, 23, 2048]), 'negative_pooled_prompt_embeds':
                         torch.Size([1, 1280]), 'guidance_scale': 4, 'num_inference_steps': 20, 'eta': 1.0,
                         'guidance_rescale': 0.7, 'denoising_end': None, 'output_type': 'latent', 'width': 784,
                         'height': 1152, 'parser': 'xhinker parser'}
Progress ?it/s                                              0% 0/20 00:00 ? Base15:23:59-657501 DEBUG    Server: alive=True jobs=1 requests=455 uptime=712 memory=4.7/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:25:59-692937 DEBUG    Server: alive=True jobs=1 requests=521 uptime=832 memory=4.69/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:27:59-730056 DEBUG    Server: alive=True jobs=1 requests=587 uptime=952 memory=4.89/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:29:59-766521 DEBUG    Server: alive=True jobs=1 requests=655 uptime=1072 memory=5.45/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:31:59-803272 DEBUG    Server: alive=True jobs=1 requests=723 uptime=1192 memory=6.07/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:33:59-840975 DEBUG    Server: alive=True jobs=1 requests=792 uptime=1312 memory=6.7/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:35:59-879743 DEBUG    Server: alive=True jobs=1 requests=861 uptime=1432 memory=7.29/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:37:59-915412 DEBUG    Server: alive=True jobs=1 requests=927 uptime=1552 memory=8.07/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:39:59-948802 DEBUG    Server: alive=True jobs=1 requests=995 uptime=1672 memory=8.69/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:41:59-986402 DEBUG    Server: alive=True jobs=1 requests=1061 uptime=1792 memory=9.34/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:44:00-024000 DEBUG    Server: alive=True jobs=1 requests=1130 uptime=1912 memory=9.93/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:46:00-059895 DEBUG    Server: alive=True jobs=1 requests=1171 uptime=2032 memory=10.7/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:48:00-093388 DEBUG    Server: alive=True jobs=1 requests=1195 uptime=2152 memory=11.32/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:50:00-136440 DEBUG    Server: alive=True jobs=1 requests=1219 uptime=2272 memory=11.85/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:52:00-183902 DEBUG    Server: alive=True jobs=1 requests=1243 uptime=2392 memory=12.47/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:54:00-217996 DEBUG    Server: alive=True jobs=1 requests=1266 uptime=2512 memory=13.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:56:00-253921 DEBUG    Server: alive=True jobs=1 requests=1290 uptime=2632 memory=13.74/31.9 backend=Backend.DIFFUSERS
                         state=idle
15:58:00-287225 DEBUG    Server: alive=True jobs=1 requests=1314 uptime=2753 memory=14.35/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:00:00-324149 DEBUG    Server: alive=True jobs=1 requests=1337 uptime=2873 memory=14.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:02:00-357107 DEBUG    Server: alive=True jobs=1 requests=1361 uptime=2993 memory=15.67/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:04:00-392377 DEBUG    Server: alive=True jobs=1 requests=1385 uptime=3113 memory=16.33/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:06:00-427776 DEBUG    Server: alive=True jobs=1 requests=1409 uptime=3233 memory=16.99/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:08:00-468474 DEBUG    Server: alive=True jobs=1 requests=1433 uptime=3353 memory=17.61/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:09:59-504721 DEBUG    Server: alive=True jobs=1 requests=1456 uptime=3472 memory=18.25/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:11:59-538800 DEBUG    Server: alive=True jobs=1 requests=1480 uptime=3592 memory=18.67/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:13:59-572388 DEBUG    Server: alive=True jobs=1 requests=1504 uptime=3712 memory=18.75/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:15:59-609631 DEBUG    Server: alive=True jobs=1 requests=1527 uptime=3832 memory=18.88/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:17:59-641408 DEBUG    Server: alive=True jobs=1 requests=1551 uptime=3952 memory=18.96/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:19:59-673533 DEBUG    Server: alive=True jobs=1 requests=1575 uptime=4072 memory=19.41/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:21:59-704786 DEBUG    Server: alive=True jobs=1 requests=1599 uptime=4192 memory=19.67/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:23:59-738659 DEBUG    Server: alive=True jobs=1 requests=1623 uptime=4312 memory=19.46/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:25:59-772538 DEBUG    Server: alive=True jobs=1 requests=1645 uptime=4432 memory=19.28/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:27:59-803828 DEBUG    Server: alive=True jobs=1 requests=1669 uptime=4552 memory=19.2/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:29:59-839513 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=4672 memory=19.15/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:31:59-877515 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=4792 memory=19.1/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:33:59-918536 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=4912 memory=19.13/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:35:59-955761 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5032 memory=19.09/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:37:59-994851 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5152 memory=19.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:40:00-029928 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5272 memory=19.14/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:42:00-067494 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5392 memory=19.09/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:44:00-105202 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5512 memory=19.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:46:00-140939 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5632 memory=19.14/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:48:00-181086 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5752 memory=19.09/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:50:00-219252 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5872 memory=19.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:52:00-256671 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=5992 memory=19.12/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:54:00-291019 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6113 memory=19.13/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:56:00-328466 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6233 memory=19.15/31.9 backend=Backend.DIFFUSERS
                         state=idle
16:58:00-364425 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6353 memory=19.1/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:00:00-396076 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6473 memory=19.09/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:02:00-428639 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6593 memory=19.13/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:04:00-464020 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6713 memory=19.13/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:07:59-534948 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=6952 memory=19.1/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:09:59-570955 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7072 memory=19.13/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:11:59-612368 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7192 memory=19.13/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:13:59-647407 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7312 memory=19.26/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:15:59-681318 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7432 memory=19.19/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:17:59-720776 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7552 memory=19.11/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:19:59-759269 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7672 memory=19.1/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:21:59-795513 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7792 memory=19.46/31.9 backend=Backend.DIFFUSERS
                         state=idle
17:23:59-829044 DEBUG    Server: alive=True jobs=1 requests=1672 uptime=7912 memory=19.71/31.9 backend=Backend.DIFFUSERS
                         state=idle

vladmandic · 2024-10-04T01:05:24Z

this is just a normal lora and its completely hanging on first step? is it using any resources?

MysticDaedra · 2024-10-04T05:29:19Z

Normal LoRA, yes. Fills up about 3.3gb of sysram, and a constant ~10% CPU usage, but 0k of VRAM, and no progress or anything, just sits there.

vladmandic added the question Further information is requested label Oct 1, 2024

vladmandic removed the question Further information is requested label Oct 3, 2024

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[Issue]: AttributeError: 'ParameterDict' object has no attribute '{lora-name}' #3465

[Issue]: AttributeError: 'ParameterDict' object has no attribute '{lora-name}' #3465

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[Issue]: AttributeError: 'ParameterDict' object has no attribute '{lora-name}' #3465

[Issue]: AttributeError: 'ParameterDict' object has no attribute '{lora-name}' #3465

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MysticDaedra commented Oct 1, 2024

Issue Description

Version Platform Description

Relevant log output

Backend

UI

Branch

Model

Acknowledgements

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