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- venv "D:\AI\stable-diffusion-webui\venv\Scripts\Python.exe"
- Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
- Commit hash: a9fed7c364061ae6efb37f797b6b522cb3cf7aa2
- Installing requirements for Web UI
- Launching Web UI with arguments: --no-half-vae --xformers --no-progressbar-hiding --enable-insecure-extension-access --ngrok --always-batch-cond-uncond --medvram --api --disable-safe-unpickle
- ngrok authtoken detected, trying to connect...
- ngrok connected to localhost:7860! URL: https://330f-77-54-33-209.ngrok.io
- You can use this link after the launch is complete.
- Loading weights [56be194f47] from D:\AI\stable-diffusion-webui\models\Stable-diffusion\Cetus Mix V2.safetensors
- Creating model from config: D:\AI\stable-diffusion-webui\configs\v1-inference.yaml
- LatentDiffusion: Running in eps-prediction mode
- DiffusionWrapper has 859.52 M params.
- Applying xformers cross attention optimization.
- Textual inversion embeddings loaded(0):
- Model loaded in 1.8s (create model: 0.5s, apply weights to model: 0.6s, apply half(): 0.6s).
- Running on local URL: http://127.0.0.1:7860
- To create a public link, set `share=True` in `launch()`.
- Startup time: 14.0s (import gradio: 2.4s, import ldm: 1.5s, other imports: 4.2s, list extensions: 0.4s, setup codeformer: 0.2s, load scripts: 1.2s, load SD checkpoint: 2.0s, create ui: 1.8s, scripts app_started_callback: 0.1s).
- Downloading: "https://github.com/AUTOMATIC1111/TorchDeepDanbooru/releases/download/v1/model-resnet_custom_v3.pt" to D:\AI\stable-diffusion-webui\models\torch_deepdanbooru\model-resnet_custom_v3.pt
- 100%|███████████████████████████████████████████████████████████████████████████████| 614M/614M [00:13<00:00, 46.2MB/s]
- Traceback (most recent call last):
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 337, in run_predict
- output = await app.get_blocks().process_api(
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1015, in process_api
- result = await self.call_function(
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 833, in call_function
- prediction = await anyio.to_thread.run_sync(
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
- return await get_asynclib().run_sync_in_worker_thread(
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
- return await future
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
- result = context.run(func, *args)
- File "D:\AI\stable-diffusion-webui\modules\ui.py", line 915, in <lambda>
- fn=lambda *args: process_interrogate(interrogate_deepbooru, *args),
- File "D:\AI\stable-diffusion-webui\modules\ui.py", line 150, in process_interrogate
- return [interrogation_function(ii_singles[mode]), None]
- File "D:\AI\stable-diffusion-webui\modules\ui.py", line 177, in interrogate_deepbooru
- prompt = deepbooru.model.tag(image)
- File "D:\AI\stable-diffusion-webui\modules\deepbooru.py", line 44, in tag
- self.start()
- File "D:\AI\stable-diffusion-webui\modules\deepbooru.py", line 35, in start
- self.load()
- File "D:\AI\stable-diffusion-webui\modules\deepbooru.py", line 29, in load
- self.model.load_state_dict(torch.load(files[0], map_location="cpu"))
- File "D:\AI\stable-diffusion-webui\modules\safe.py", line 106, in load
- return load_with_extra(filename, extra_handler=global_extra_handler, *args, **kwargs)
- File "D:\AI\stable-diffusion-webui\modules\safe.py", line 151, in load_with_extra
- return unsafe_torch_load(filename, *args, **kwargs)
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 771, in load
- with _open_file_like(f, 'rb') as opened_file:
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 270, in _open_file_like
- return _open_file(name_or_buffer, mode)
- File "D:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\serialization.py", line 251, in __init__
- super(_open_file, self).__init__(open(name, mode))
- OSError: [Errno 22] Invalid argument: 'D:\\AI\\stable-diffusion-webui\\models\\torch_deepdanbooru\\model-resnet_custom_v3.pt'
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