MysticDaedra
commented
1 week ago Using VENV: D:\SDNext\venv
00:10:01-502292 INFO Starting SD.Next
00:10:01-505792 INFO Logger: file="D:\SDNext\sdnext.log" level=DEBUG size=65 mode=create
00:10:01-507293 INFO Python: version=3.11.8 platform=Windows bin="D:\SDNext\venv\Scripts\Python.exe"
venv="D:\SDNext\venv"
00:10:02-377963 INFO Version: app=sd.next updated=2024-10-09 hash=bc47e49c branch=dev
url=https://github.com/vladmandic/automatic/tree/dev ui=dev
00:10:03-158279 INFO Updating main repository
00:10:05-217802 INFO Repository upgraded: bc47e49c Wed Oct 9 11:22:03 2024 -0400
00:10:05-260855 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
00:10:05-262856 DEBUG Setting environment tuning
00:10:05-263855 DEBUG Torch allocator:
"garbage_collection_threshold:0.25,max_split_size_mb:512,backend:cudaMallocAsync"
00:10:05-277870 DEBUG Torch overrides: cuda=False rocm=False ipex=False diml=False openvino=False zluda=False
00:10:05-301892 INFO CUDA: nVidia toolkit detected
00:10:05-612471 INFO Verifying requirements
00:10:05-617471 INFO Verifying packages
00:10:05-617972 INFO Startup: standard
00:10:05-619485 INFO Verifying submodules
00:10:14-832174 DEBUG Git submodule: extensions-builtin/sd-extension-chainner / main
00:10:16-103300 DEBUG Git submodule: extensions-builtin/sd-extension-system-info / main
00:10:17-692053 DEBUG Git submodule: extensions-builtin/sd-webui-agent-scheduler / main
00:10:18-924354 DEBUG Git submodule: extensions-builtin/sdnext-modernui / dev
00:10:20-180998 DEBUG Git submodule: extensions-builtin/stable-diffusion-webui-rembg / master
00:10:21-466934 DEBUG Git submodule: modules/k-diffusion / master
00:10:22-787786 DEBUG Git submodule: wiki / master
00:10:23-953911 DEBUG Register paths
00:10:24-036941 DEBUG Installed packages: 212
00:10:24-037941 DEBUG Extensions all: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
'sd-webui-agent-scheduler', 'sdnext-modernui', 'stable-diffusion-webui-rembg']
00:10:25-027955 DEBUG Git submodule: extensions-builtin\sd-extension-chainner / main
00:10:26-340441 DEBUG Git submodule: extensions-builtin\sd-extension-system-info / main
00:10:27-704567 DEBUG Git submodule: extensions-builtin\sd-webui-agent-scheduler / main
00:10:28-858028 DEBUG Extension installer: D:\SDNext\extensions-builtin\sd-webui-agent-scheduler\install.py
00:10:31-739429 DEBUG Git submodule: extensions-builtin\sdnext-modernui / dev
00:10:33-171101 DEBUG Git submodule: extensions-builtin\stable-diffusion-webui-rembg / master
00:10:34-297367 DEBUG Extension installer: D:\SDNext\extensions-builtin\stable-diffusion-webui-rembg\install.py
00:10:42-891912 DEBUG Extensions all: ['adetailer']
00:10:43-061110 DEBUG Git submodule: extensions\adetailer / main
00:10:45-195255 DEBUG Extension force: name="adetailer" commit=a89c01d
00:10:45-196755 DEBUG Extension installer: D:\SDNext\extensions\adetailer\install.py
00:10:45-537636 INFO Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info',
'sd-webui-agent-scheduler', 'sdnext-modernui', 'stable-diffusion-webui-rembg', 'adetailer']
00:10:45-540149 INFO Verifying requirements
00:10:45-541146 INFO Updating Wiki
00:10:45-681337 DEBUG Git submodule: D:\SDNext\wiki / master
00:10:46-757599 DEBUG Setup complete without errors: 1728544247
00:10:46-765113 DEBUG Extension preload: {'extensions-builtin': 0.0, 'extensions': 0.0}
00:10:46-766114 DEBUG Starting module: <module 'webui' from 'D:\\SDNext\\webui.py'>
00:10:46-767112 INFO Command line args: ['--medvram', '--upgrade', '--debug'] medvram=True upgrade=True debug=True
00:10:46-768620 DEBUG Env flags: []
00:10:55-804770 INFO System packages: {'torch': '2.4.1+cu124', 'diffusers': '0.31.0.dev0', 'gradio': '3.43.2',
'transformers': '4.45.2', 'accelerate': '1.0.0'}
00:10:56-744359 DEBUG Huggingface cache: folder="C:\Users\Joshua\.cache\huggingface\hub"
00:10:56-834636 DEBUG Read: file="config.json" json=65 bytes=3734 time=0.000
00:10:56-836309 DEBUG Unknown settings: ['ad_max_models', 'ad_save_images_before', 'ad_same_seed_for_each_tab',
'ad_extra_models_dir', 'multiple_tqdm']
00:10:56-837309 INFO Engine: backend=Backend.DIFFUSERS compute=None device=cuda attention="Scaled-Dot-Product"
mode=no_grad
00:10:56-839316 DEBUG Read: file="html\reference.json" json=52 bytes=29118 time=0.001
00:10:56-881863 INFO Torch parameters: backend=cuda device=cuda config=Auto dtype=torch.bfloat16 vae=torch.bfloat16
unet=torch.bfloat16 context=no_grad nohalf=False nohalfvae=False upscast=False
deterministic=True test-fp16=True test-bf16=True optimization="Scaled-Dot-Product"
00:10:57-887772 DEBUG ONNX: version=1.19.2 provider=CPUExecutionProvider, available=['AzureExecutionProvider',
'CPUExecutionProvider']
00:10:58-121587 INFO Device: device=NVIDIA GeForce RTX 3070 n=1 arch=sm_90 capability=(8, 6) cuda=12.4 cudnn=90100
driver=
00:10:58-288905 DEBUG Importing LDM
00:10:58-315557 DEBUG Entering start sequence
00:10:58-318420 DEBUG Initializing
00:10:58-377543 INFO Available VAEs: path="D:\Stable Diffusion Files\Models\VAE" items=5
00:10:58-379552 INFO Available UNets: path="D:\Stable Diffusion Files\Models\UNET" items=2
00:10:58-380558 INFO Available TEs: path="D:\Stable Diffusion Files\Models\Text-encoder" items=0
00:10:58-382058 INFO Disabled extensions: ['sdnext-modernui']
00:10:58-385559 DEBUG Read: file="cache.json" json=2 bytes=4434 time=0.000
00:10:58-396080 DEBUG Read: file="metadata.json" json=190 bytes=1016037 time=0.010
00:10:58-402598 DEBUG Scanning diffusers cache: folder="D:\Stable Diffusion Files\Models\Diffusers" items=4 time=0.00
00:10:58-403597 INFO Available Models: path="D:\Stable Diffusion Files\Models\Checkpoints" items=23 time=0.02
00:10:58-540408 INFO Available Yolo: path="D:\Stable Diffusion Files\Models\yolo items=6 downloaded=1
00:10:58-541408 DEBUG Load extensions
00:10:58-633951 INFO Extension: script='extensions-builtin\Lora\scripts\lora_script.py'
[2;36m00:10:58-628950[0m[2;36m [0m[34mINFO [0m Available LoRAs: [33mitems[0m=[1;36m159[0m
[33mfolders[0m=[1;36m2[0m
00:10:59-161349 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
00:10:59-397738 INFO Extension: script='extensions\adetailer\scripts\!adetailer.py' [-] ADetailer initialized.
version: 24.5.1, num models: 20
00:10:59-399245 DEBUG Extensions init time: 0.86 sd-extension-chainner=0.05 sd-webui-agent-scheduler=0.47
adetailer=0.23
00:10:59-421833 DEBUG Read: file="html/upscalers.json" json=4 bytes=2672 time=0.000
00:10:59-423338 DEBUG Read: file="extensions-builtin\sd-extension-chainner\models.json" json=24 bytes=2719 time=0.000
00:10:59-426336 DEBUG chaiNNer models: path="D:\Stable Diffusion Files\Models\chaiNNer" defined=24 discovered=9
downloaded=17
00:10:59-428842 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"
00:10:59-429848 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"
00:10:59-433352 DEBUG Upscaler type=SwinIR folder="D:\Stable Diffusion Files\Models\SwinIR" model="SwinIR_4x"
path="D:\Stable Diffusion Files\Models\SwinIR\SwinIR_4x.pth"
00:10:59-436352 INFO Available Upscalers: items=65 downloaded=30 user=12 time=0.03 types=['None', 'Lanczos',
'Nearest', 'ChaiNNer', 'AuraSR', 'ESRGAN', 'LDSR', 'RealESRGAN', 'SCUNet', 'SD', 'SwinIR']
00:10:59-455879 INFO Available Styles: folder="D:\Stable Diffusion Files\Models\Styles" items=297 time=0.02
00:10:59-459890 DEBUG Creating UI
00:10:59-461554 DEBUG UI themes available: type=Standard themes=12
00:10:59-462553 INFO UI theme: type=Standard name="invoked"
00:10:59-470064 DEBUG UI theme: css="D:\SDNext\javascript\invoked.css" base="sdnext.css" user="None"
00:10:59-473220 DEBUG UI initialize: txt2img
00:10:59-594263 DEBUG Networks: page='model' items=74 subfolders=4 tab=txt2img folders=['D:\\Stable Diffusion
Files\\Models\\Checkpoints', 'D:\\Stable Diffusion Files\\Models\\Diffusers',
'models\\Reference'] list=0.09 thumb=0.02 desc=0.01 info=0.01 workers=8 sort=Default
00:10:59-600776 DEBUG Networks: page='lora' items=159 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
Files\\Models\\Loras', 'D:\\Stable Diffusion Files\\Models\\LyCORIS'] list=0.10 thumb=0.02
desc=0.09 info=0.19 workers=8 sort=Default
00:10:59-610287 DEBUG Networks: page='style' items=297 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
Files\\Models\\Styles', 'html'] list=0.10 thumb=0.00 desc=0.00 info=0.00 workers=8 sort=Default
00:10:59-615289 DEBUG Networks: page='embedding' items=22 subfolders=1 tab=txt2img folders=['D:\\Stable Diffusion
Files\\Models\\Embeddings'] list=0.09 thumb=0.01 desc=0.01 info=0.04 workers=8 sort=Default
00:10:59-617790 DEBUG Networks: page='vae' items=5 subfolders=0 tab=txt2img folders=['D:\\Stable Diffusion
Files\\Models\\VAE'] list=0.05 thumb=0.03 desc=0.00 info=0.01 workers=8 sort=Default
00:10:59-620851 DEBUG Networks: page='history' items=0 subfolders=0 tab=txt2img folders=[] list=0.00 thumb=0.00
desc=0.00 info=0.00 workers=8 sort=Default
00:10:59-983287 DEBUG UI initialize: img2img
00:11:00-195717 DEBUG UI initialize: control models=D:\Stable Diffusion Files\Models\Control
00:11:00-776571 DEBUG Read: file="ui-config.json" json=0 bytes=2 time=0.000
00:11:00-907325 DEBUG UI themes available: type=Standard themes=12
00:11:03-815969 DEBUG Extension list: processed=393 installed=7 enabled=6 disabled=1 visible=393 hidden=0
00:11:04-167541 DEBUG Root paths: ['D:\\SDNext']
00:11:04-262849 INFO Local URL: http://127.0.0.1:7860/
00:11:04-264350 DEBUG Gradio functions: registered=3188
00:11:04-267349 DEBUG FastAPI middleware: ['Middleware', 'Middleware']
00:11:04-270360 DEBUG Creating API
00:11:04-446644 INFO [AgentScheduler] Task queue is empty
00:11:04-447649 INFO [AgentScheduler] Registering APIs
00:11:04-837825 DEBUG Scripts setup: ['IP Adapters:0.022', 'Upscale:0.006', 'XYZ Grid:0.024', 'ADetailer:0.273',
'Face:0.017', 'AnimateDiff:0.007', 'CogVideoX:0.007', 'Ctrl-X:0.006', 'HDR:0.005', 'LUT Color
grading:0.006', 'Prompt enhance:0.005', 'Image-to-Video:0.007']
00:11:04-840340 DEBUG Model metadata: file="metadata.json" no changes
00:11:04-842342 DEBUG Model requested: fn=<lambda>
00:11:04-843344 INFO Load model: select="tzigorealmixxl_v081VAE [78f67d5c38]"
00:11:04-844841 DEBUG Load model: target="D:\Stable Diffusion
Files\Models\Checkpoints\tzigorealmixxl_v081VAE.safetensors" existing=False info=None
00:11:04-846341 DEBUG Load model: path="D:\Stable Diffusion
Files\Models\Checkpoints\tzigorealmixxl_v081VAE.safetensors"
00:11:04-847841 INFO Autodetect model: detect="Stable Diffusion XL" class=StableDiffusionXLPipeline file="D:\Stable
Diffusion Files\Models\Checkpoints\tzigorealmixxl_v081VAE.safetensors" size=6617MB
Diffusers 2.51s/it ████████ 100% 7/7 00:17 00:00 Loading pipeline components...
00:11:24-172880 DEBUG Setting model: pipeline=StableDiffusionXLPipeline config={'low_cpu_mem_usage': True,
'torch_dtype': torch.bfloat16, 'load_connected_pipeline': True, 'extract_ema': True, 'config':
'configs/sdxl', 'use_safetensors': True, 'cache_dir':
'C:\\Users\\Joshua\\.cache\\huggingface\\hub', 'force_upcast': False}
00:11:29-821606 INFO Load network: type=embeddings loaded=14 skipped=8 time=5.65
00:11:29-823106 DEBUG Setting model: component=VAE upcast=False
00:11:29-824106 DEBUG Setting model: component=VAE slicing=True
00:11:29-825106 DEBUG Setting model: component=VAE tiling=True
00:11:29-826105 DEBUG Setting model: attention="Scaled-Dot-Product"
00:11:29-849629 INFO NNCF Compress Weights: ['Model', 'VAE', 'Text Encoder']
INFO:nncf:NNCF initialized successfully. Supported frameworks detected: torch, onnx
WARNING:nncf:NNCF provides best results with torch==2.1.0, while current torch version is 2.4.1+cu124. If you encounter issues, consider switching to torch==2.1.0
00:11:44-389493 DEBUG GC: utilization={'gpu': 14, 'ram': 24, 'threshold': 25} gc={'collected': 127, 'saved': 0.0}
before={'gpu': 1.13, 'ram': 7.63} after={'gpu': 1.13, 'ram': 7.63, 'retries': 0, 'oom': 0}
device=cuda fn=nncf_compress_model time=0.28
00:11:45-275374 DEBUG GC: utilization={'gpu': 14, 'ram': 22, 'threshold': 25} gc={'collected': 127, 'saved': 0.0}
before={'gpu': 1.13, 'ram': 7.04} after={'gpu': 1.13, 'ram': 7.04, 'retries': 0, 'oom': 0}
device=cuda fn=nncf_compress_model time=0.29
00:11:48-977071 DEBUG GC: utilization={'gpu': 14, 'ram': 20, 'threshold': 25} gc={'collected': 133, 'saved': 0.0}
before={'gpu': 1.13, 'ram': 6.52} after={'gpu': 1.13, 'ram': 6.52, 'retries': 0, 'oom': 0}
device=cuda fn=nncf_compress_model time=0.29
00:11:49-646750 DEBUG GC: utilization={'gpu': 14, 'ram': 20, 'threshold': 25} gc={'collected': 127, 'saved': 0.0}
before={'gpu': 1.13, 'ram': 6.25} after={'gpu': 1.13, 'ram': 6.25, 'retries': 0, 'oom': 0}
device=cuda fn=nncf_compress_model time=0.29
00:11:49-649763 INFO NNCF Compress Weights: time=19.80
00:11:49-650764 DEBUG Setting model: offload=model
00:11:49-690380 DEBUG Read: file="D:\SDNext\configs\sdxl\vae\config.json" json=15 bytes=674 time=0.000
00:11:49-972382 DEBUG GC: utilization={'gpu': 14, 'ram': 20, 'threshold': 25} gc={'collected': 127, 'saved': 0.0}
before={'gpu': 1.13, 'ram': 6.25} after={'gpu': 1.13, 'ram': 6.25, 'retries': 0, 'oom': 0}
device=cuda fn=load_diffuser time=0.28
00:11:49-991400 INFO Load model: time=44.85 load=19.33 embeddings=5.65 options=19.83 native=1024 memory={'ram':
{'used': 6.25, 'total': 31.9}, 'gpu': {'used': 1.13, 'total': 8.0}, 'retries': 0, 'oom': 0}
00:11:49-995399 DEBUG Script callback init time: system-info.py:app_started=0.06 task_scheduler.py:app_started=0.42
00:11:49-996899 INFO Startup time: 63.22 torch=6.97 gradio=1.66 diffusers=0.14 libraries=2.74 samplers=0.06
extensions=0.86 detailer=0.14 ui-networks=0.28 ui-txt2img=0.34 ui-img2img=0.17 ui-control=0.24
ui-models=0.19 ui-settings=0.26 ui-extensions=2.80 ui-defaults=0.29 launch=0.15 api=0.08
app-started=0.49 checkpoint=45.16
00:11:49-998404 DEBUG Save: file="config.json" json=65 bytes=3619 time=0.003
00:11:50-001410 DEBUG Unused settings: ['ad_same_seed_for_each_tab', 'multiple_tqdm']
00:12:00-003962 DEBUG Server: alive=True jobs=1 requests=10 uptime=64 memory=6.25/31.9 backend=Backend.DIFFUSERS
state=idle
00:12:12-676762 INFO MOTD: N/A
00:12:17-325212 DEBUG UI themes available: type=Standard themes=12
00:12:33-754109 INFO Browser session: user=None client=127.0.0.1 agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64;
rv:131.0) Gecko/20100101 Firefox/131.0
00:14:00-132839 DEBUG Server: alive=True jobs=1 requests=202 uptime=184 memory=6.27/31.9 backend=Backend.DIFFUSERS
state=idle
00:16:00-170550 DEBUG Server: alive=True jobs=1 requests=226 uptime=304 memory=6.27/31.9 backend=Backend.DIFFUSERS
state=idle
00:18:00-207122 DEBUG Server: alive=True jobs=1 requests=250 uptime=424 memory=6.27/31.9 backend=Backend.DIFFUSERS
state=idle
00:20:00-270283 DEBUG Server: alive=True jobs=1 requests=275 uptime=544 memory=6.27/31.9 backend=Backend.DIFFUSERS
state=idle
00:22:00-305370 DEBUG Server: alive=True jobs=1 requests=380 uptime=664 memory=6.27/31.9 backend=Backend.DIFFUSERS
state=idle
00:22:03-838159 INFO Applying hypertile: unet=512
00:22:03-931796 INFO Base: class=StableDiffusionXLPipeline
00:22:03-991867 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': True, 'noise_sampler_seed': None, 'timestep_spacing':
'leading', 'steps_offset': 1}
00:22:06-170857 DEBUG Torch generator: device=cuda seeds=[2060160209]
00:22:06-172863 DEBUG Diffuser pipeline: StableDiffusionXLPipeline task=DiffusersTaskType.TEXT_2_IMAGE batch=1/1x1
set={'prompt_embeds': torch.Size([1, 77, 2048]), 'pooled_prompt_embeds': torch.Size([1, 1280]),
'negative_prompt_embeds': torch.Size([1, 77, 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': 1024,
'height': 1024, 'parser': 'Full parser'}
Progress 8.51s/it █▋ 5% 1/20 00:08 02:41 Base00:22:15-885489 DEBUG VAE load: type=taesd model=D:\Stable Diffusion Files\Models\TAESD\taesdxl_decoder.pth
Progress 1.80s/it █████████████████████████████████ 100% 20/20 00:36 00:00 Base
00:22:46-222296 DEBUG Init hires: upscaler="chaiNNer 4x DAT Helaman-LSDIR" sampler="DPM SDE" resize=0x0
upscale=1536x1536
00:22:46-223799 INFO Upscale: mode=1 upscaler="chaiNNer 4x DAT Helaman-LSDIR" context="Add with forward" resize=0x0
upscale=1536x1536
00:22:52-400446 DEBUG VAE decode: vae name="default" dtype=torch.bfloat16 device=cuda:0 upcast=False slicing=True
tiling=True latents shape=torch.Size([1, 4, 128, 128]) dtype=torch.bfloat16 device=cuda:0
time=6.175
00:22:52-770148 DEBUG GC: utilization={'gpu': 26, 'ram': 20, 'threshold': 25} gc={'collected': 693, 'saved': 0.54}
before={'gpu': 2.1, 'ram': 6.3} after={'gpu': 1.56, 'ram': 6.3, 'retries': 0, 'oom': 0}
device=cuda fn=vae_decode time=0.31
00:22:55-095248 INFO Upscaler loaded: type=chaiNNer model='D:\Stable Diffusion
Files\Models\chaiNNer\DAT-Helaman-LSDIR-4x.pth'
Upscaling ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 0:00:53
00:23:48-801920 DEBUG Upscaler unloaded: type=chaiNNer model=D:\Stable Diffusion
Files\Models\chaiNNer\DAT-Helaman-LSDIR-4x.pth
00:23:49-077855 DEBUG GC: utilization={'gpu': 22, 'ram': 21, 'threshold': 25} gc={'collected': 686, 'saved': 0.0}
before={'gpu': 1.72, 'ram': 6.77} after={'gpu': 1.72, 'ram': 6.77, 'retries': 0, 'oom': 0}
device=cuda fn=do_upscale time=0.27
00:23:49-232086 DEBUG Image resize: input=<PIL.Image.Image image mode=RGB size=1024x1024 at 0x19038BAB5D0> width=1536
height=1536 mode="Fixed" upscaler="chaiNNer 4x DAT Helaman-LSDIR" context="Add with forward"
type=image result=<PIL.Image.Image image mode=RGB size=1536x1536 at 0x1903426E390> time=56.45
fn=D:\SDNext\modules\processing_helpers.py:resize_hires
00:23:49-236098 DEBUG Pipeline class change: original=StableDiffusionXLPipeline
target=StableDiffusionXLImg2ImgPipeline device=cpu fn=process_hires
00:23:49-237599 INFO HiRes: class=StableDiffusionXLImg2ImgPipeline sampler="DPM SDE"
00:23:49-288647 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': True, 'noise_sampler_seed': None, 'timestep_spacing':
'leading', 'steps_offset': 1}
00:23:50-171029 DEBUG GC: utilization={'gpu': 28, 'ram': 20, 'threshold': 25} gc={'collected': 508, 'saved': 0.09}
before={'gpu': 2.22, 'ram': 6.46} after={'gpu': 2.13, 'ram': 6.46, 'retries': 0, 'oom': 0}
device=cuda fn=encode_prompts time=0.28
00:23:50-175534 DEBUG Torch generator: device=cuda seeds=[2060160209]
00:23:50-176531 DEBUG Diffuser pipeline: StableDiffusionXLImg2ImgPipeline task=DiffusersTaskType.IMAGE_2_IMAGE
batch=1/1x1 set={'prompt_embeds': torch.Size([1, 77, 2048]), 'pooled_prompt_embeds':
torch.Size([1, 1280]), 'negative_prompt_embeds': torch.Size([1, 77, 2048]),
'negative_pooled_prompt_embeds': torch.Size([1, 1280]), 'guidance_scale': 5,
'num_inference_steps': 31, 'eta': 1.0, 'guidance_rescale': 0.7, 'output_type': 'latent',
'image': [<PIL.Image.Image image mode=RGB size=1536x1536 at 0x1903426E390>], 'strength': 0.5,
'width': 1536, 'height': 1536, 'parser': 'Full parser'}
00:24:00-350589 DEBUG Server: alive=True jobs=1 requests=629 uptime=784 memory=5.81/31.9 backend=Backend.DIFFUSERS
state=idle
Progress 3.03s/it ████████████████████████████████ 100% 15/15 00:45 00:00 Hires
00:24:50-687640 DEBUG GC: utilization={'gpu': 61, 'ram': 11, 'threshold': 25} gc={'collected': 384, 'saved': 0.62}
before={'gpu': 4.88, 'ram': 3.5} after={'gpu': 4.26, 'ram': 3.5, 'retries': 0, 'oom': 0}
device=cuda fn=nextjob time=0.29
00:25:03-718725 DEBUG VAE decode: vae name="default" dtype=torch.bfloat16 device=cuda:0 upcast=False slicing=True
tiling=True latents shape=torch.Size([1, 4, 192, 192]) dtype=torch.bfloat16 device=cuda:0
time=13.029
00:25:04-025166 DEBUG GC: utilization={'gpu': 25, 'ram': 19, 'threshold': 25} gc={'collected': 335, 'saved': 0.25}
before={'gpu': 1.97, 'ram': 6.16} after={'gpu': 1.72, 'ram': 6.16, 'retries': 0, 'oom': 0}
device=cuda fn=vae_decode time=0.3
00:25:04-908961 INFO Upscaler loaded: type=chaiNNer model='D:\Stable Diffusion
Files\Models\chaiNNer\DAT-Helaman-LSDIR-4x.pth'
00:26:00-424087 DEBUG Server: alive=True jobs=1 requests=866 uptime=904 memory=6.68/31.9 backend=Backend.DIFFUSERS
state=idle
Upscaling ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% 0:00:00 0:01:26
00:26:32-465532 DEBUG Upscaler unloaded: type=chaiNNer model=D:\Stable Diffusion
Files\Models\chaiNNer\DAT-Helaman-LSDIR-4x.pth
00:26:32-805063 DEBUG GC: utilization={'gpu': 22, 'ram': 22, 'threshold': 25} gc={'collected': 1701, 'saved': 0.0}
before={'gpu': 1.79, 'ram': 7.09} after={'gpu': 1.79, 'ram': 7.09, 'retries': 0, 'oom': 0}
device=cuda fn=do_upscale time=0.34
00:26:33-741322 ERROR Running script postprocess image: extensions\adetailer\scripts\!adetailer.py: TypeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ D:\SDNext\modules\scripts.py:626 in postprocess_image │
│ │
│ 625 │ │ │ │ │ args = p.per_script_args.get(script.title(), p.script_args[script.args_from:script.args_to │
│ ❱ 626 │ │ │ │ │ script.postprocess_image(p, pp, *args) │
│ 627 │ │ │ except Exception as e: │
│ │
│ D:\SDNext\extensions\adetailer\aaaaaa\traceback.py:167 in wrapper │
│ │
│ 166 │ │ │ │ error = RuntimeError(output) │
│ ❱ 167 │ │ │ raise error from None │
│ 168 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
TypeError:
╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ System info │
│ ┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│ ┃ ┃ Value ┃ │
│ ┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│ │ Platform │ Windows-10-10.0.22631-SP0 │ │
│ │ Python │ 3.11.8 (tags/v3.11.8:db85d51, Feb 6 2024, 22:03:32) [MSC v.1937 64 bit (AMD64)] │ │
│ │ Version │ Unknown (too old or vladmandic) │ │
│ │ Commit │ Unknown │ │
│ │ Commandline │ ['launch.py', '--medvram', '--upgrade', '--debug'] │ │
│ │ Libraries │ {'torch': '2.4.1+cu124', 'torchvision': '0.19.1+cu124', 'ultralytics': '8.3.5', 'mediapipe': │ │
│ │ │ '0.10.14'} │ │
│ └─────────────┴────────────────────────────────────────────────────────────────────────────────────────────────┘ │
│ Inputs │
│ ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│ ┃ ┃ Value ┃ │
│ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│ │ prompt │ full body medieval fantasy photograph of small young blonde girl, very pale ethereal skin, │ │
│ │ │ slender with b-cup breasts and very slim waist, wearing a modest dress of pure white, the │ │
│ │ │ fabric of her dress falling in gentle pleats to her ankles, innocent and pure, timid and │ │
│ │ │ shy, entering the cold stone castle room │ │
│ │ negative_prompt │ │ │
│ │ n_iter │ 1 │ │
│ │ batch_size │ 1 │ │
│ │ width │ 1024 │ │
│ │ height │ 1024 │ │
│ │ sampler_name │ DPM SDE │ │
│ │ enable_hr │ True │ │
│ │ hr_upscaler │ chaiNNer 4x DAT Helaman-LSDIR │ │
│ │ checkpoint │ tzigorealmixxl_v081VAE [78f67d5c38] │ │
│ │ vae │ Automatic │ │
│ │ unet │ None │ │
│ └─────────────────┴────────────────────────────────────────────────────────────────────────────────────────────┘ │
│ ADetailer │
│ ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ │
│ ┃ ┃ Value ┃ │
│ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │
│ │ version │ 24.5.1 │ │
│ │ ad_model │ person_yolov8m-seg.pt │ │
│ │ ad_prompt │ small young teenCla1re, medieval setting, very pale ethereal skin, slender with b-cup │ │
│ │ │ breasts and very slim waist, wearing a modest dress of pure white, the fabric of her │ │
│ │ │ dress falling in gentle pleats to her ankles, innocent and pure, timid and shy, │ │
│ │ │ <lora:teenCla1rev1:0.9> │ │
│ │ ad_negative_prompt │ │ │
│ │ ad_controlnet_model │ None │ │
│ │ is_api │ False │ │
│ └─────────────────────┴────────────────────────────────────────────────────────────────────────────────────────┘ │
│ ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │
│ │ D:\SDNext\extensions\adetailer\aaaaaa\traceback.py:147 in wrapper │ │
│ │ │ │
│ │ 146 │ │ try: │ │
│ │ ❱ 147 │ │ │ return func(*args, **kwargs) │ │
│ │ 148 │ │ except Exception as e: │ │
│ │ │ │
│ │ D:\SDNext\extensions\adetailer\scripts\!adetailer.py:821 in postprocess_image │ │
│ │ │ │
│ │ 820 │ │ │ │ │ continue │ │
│ │ ❱ 821 │ │ │ │ is_processed |= self._postprocess_image_inner(p, pp, args, n=n) │ │
│ │ 822 │ │
│ │ │ │
│ │ D:\SDNext\extensions\adetailer\scripts\!adetailer.py:725 in _postprocess_image_inner │ │
│ │ │ │
│ │ 724 │ │ │ │
│ │ ❱ 725 │ │ i2i = self.get_i2i_p(p, args, pp.image) │ │
│ │ 726 │ │ seed, subseed = self.get_seed(p) │ │
│ │ │ │
│ │ D:\SDNext\extensions\adetailer\scripts\!adetailer.py:504 in get_i2i_p │ │
│ │ │ │
│ │ 503 │ │ │ │
│ │ ❱ 504 │ │ i2i = StableDiffusionProcessingImg2Img( │ │
│ │ 505 │ │ │ init_images=[image], │ │
│ │ │ │
│ │ D:\SDNext\modules\processing_class.py:285 in __init__ │ │
│ │ │ │
│ │ 284 │ def __init__(self, init_images: list = None, resize_mode: int = 0, resize_name: str │ │
│ │ ❱ 285 │ │ super().__init__(**kwargs) │ │
│ │ 286 │ │ self.init_images = init_images │ │
│ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ │
│ TypeError: StableDiffusionProcessing.__init__() got an unexpected keyword argument 'restore_faces' │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
00:26:33-880908 INFO Save: image="D:\Stable Diffusion Files\Outputs\text\12182-tzigorealmixxl_v081VAE-full body
medieval fantasy photograph of small young.jpg" type=JPEG width=3072 height=3072 size=1252162
00:26:33-967514 INFO Processed: images=1 its=0.07 time=269.99 timers={'gc': 1.79, 'init': 0.08, 'prepare': 0.07,
'encode': 68.81, 'args': 2.34, 'move': 0.02, 'pipeline': 37.12, 'hires': 127.21, 'decode':
13.34, 'post': 89.94} memory={'ram': {'used': 6.48, 'total': 31.9}, 'gpu': {'used': 1.79,
'total': 8.0}, 'retries': 0, 'oom': 0}
Bing-su
vladmandic
Issue Description
Freshly-switched to dev branch, getting this error that did not exist on latest master. I tried uninstalling and reinstalling (with several server and console restarts) adetailer, but the error persists. This looks similar to errors I've gotten in the past where the UI wasn't refreshed after restarting the server, but I've also restarted the UI (closed and reopened the tab) multiple times with no change.
The error occurs after generation is complete, when adetailer would normally run. It skips it instead, and the error is displayed. I've seen no difference between enabling or disabling adetailer via the accordion or disabling the various detection model tabs, just having the extension installed causes the error to occur. By itself, not a big deal, but obviously if you actually want to use adetailer, it being broken is a downer.
As a note, I do have Face Restore set to "none" in settings. And I am not using (have disabled/unchecked) the new built-in detailer feature.
Version Platform Description
SDNext dev branch bc47e49c Python 3.11.8 Windows 11 Professional 10-10.0.22631-SP0 RTX 3070 8GB, 32GB sysram Torch 2.4.1+cu124 Diffusers 0.31.0.dev0 Gradio 3.43.2 Transformers 4.45.2 Accelerate 1.0.0 CUDA 12.4 cudnn 90100
URL link of the extension
https://github.com/Bing-su/adetailer
URL link of the issue reported in the extension repository
https://github.com/Bing-su/adetailer/issues/729
Acknowledgements