facechain: Facechain not working when installed via extensions
Hi, i just downloaded facechain via the extensions tab in automatic1111 but i couldnt get it to work i throws several errors. I would be glas if someone could help me resolve the issue. This is my log:
`Already up to date. venv “C:\StableDiffusion\stable-diffusion-webui\venv\Scripts\Python.exe” Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: v1.7.0 Commit hash: cf2772fab0af5573da775e7437e6acdca424f26e –installing mmcv… Installing requirements for mmcv Couldn’t install requirements for mmcv. Command: “C:\StableDiffusion\stable-diffusion-webui\venv\Scripts\python.exe” -m pip install mmcv-full==1.7.0 --prefer-binary Error code: 1 stdout: Collecting mmcv-full==1.7.0 Using cached mmcv-full-1.7.0.tar.gz (593 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status ‘error’
stderr: WARNING: Ignoring invalid distribution -rotobuf (c:\stablediffusion\stable-diffusion-webui\venv\lib\site-packages) WARNING: Ignoring invalid distribution -rotobuf (c:\stablediffusion\stable-diffusion-webui\venv\lib\site-packages) error: subprocess-exited-with-error
python setup.py egg_info did not run successfully. exit code: 1
[14 lines of output] Traceback (most recent call last): File “<string>”, line 2, in <module> File “<pip-setuptools-caller>”, line 34, in <module> File “C:\Users\rouve\AppData\Local\Temp\pip-install-0smz74z2\mmcv-full_b8e4dcac16d84821b7691f0db34993ae\setup.py”, line 461, in <module> ext_modules=get_extensions(), File “C:\Users\rouve\AppData\Local\Temp\pip-install-0smz74z2\mmcv-full_b8e4dcac16d84821b7691f0db34993ae\setup.py”, line 365, in get_extensions ext_ops = extension( File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\cpp_extension.py”, line 1048, in CUDAExtension library_dirs += library_paths(cuda=True) File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\cpp_extension.py”, line 1186, in library_paths paths.append(_join_cuda_home(lib_dir)) File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\torch\utils\cpp_extension.py”, line 2223, in _join_cuda_home raise EnvironmentError('CUDA_HOME environment variable is not set. ’ OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root. [end of output]
note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed
Encountered error while generating package metadata.
See above for output.
note: This is an issue with the package mentioned above, not pip. hint: See above for details. WARNING: Ignoring invalid distribution -rotobuf (c:\stablediffusion\stable-diffusion-webui\venv\lib\site-packages) WARNING: Ignoring invalid distribution -rotobuf (c:\stablediffusion\stable-diffusion-webui\venv\lib\site-packages) WARNING: Ignoring invalid distribution -rotobuf (c:\stablediffusion\stable-diffusion-webui\venv\lib\site-packages)
[notice] A new release of pip available: 22.2.1 -> 24.0 [notice] To update, run: C:\StableDiffusion\stable-diffusion-webui\venv\Scripts\python.exe -m pip install --upgrade pip
ERROR facechain: failed to install mmcv, make sure to have “CUDA Toolkit” and “Build Tools for Visual Studio” installed
Installing requirements for diffusers
removing nvidia-cudnn-cu11
Launching Web UI with arguments: --xformers --theme dark --autolaunch
Style database not found: C:\StableDiffusion\stable-diffusion-webui\styles.csv
ControlNet preprocessor location: C:\StableDiffusion\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2024-02-07 11:21:19,669 - ControlNet - INFO - ControlNet v1.1.440
2024-02-07 11:21:19,769 - ControlNet - INFO - ControlNet v1.1.440
Loading weights [e6bb9ea85b] from C:\StableDiffusion\stable-diffusion-webui\models\Stable-diffusion\sd_xl_base_1.0_0.9vae.safetensors
2024-02-07 11:21:20,236 - ControlNet - INFO - ControlNet UI callback registered.
Creating model from config: C:\StableDiffusion\stable-diffusion-webui\repositories\generative-models\configs\inference\sd_xl_base.yaml
2024-02-07 11:21:21,371 - modelscope - INFO - PyTorch version 2.0.1+cu118 Found.
2024-02-07 11:21:21,423 - modelscope - INFO - Loading ast index from C:\Users\rouve.cache\modelscope\ast_indexer
2024-02-07 11:21:21,552 - modelscope - INFO - Loading done! Current index file version is 1.12.0, with md5 47d35f634fb1a9b1349293bd5ef1536f and a total number of 964 components indexed
C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\app.py:1276: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
output_images = gr.Gallery(label=‘Output’, show_label=False).style(columns=3, rows=2, height=600,
[[‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/resources/inpaint_template\1.jpg’], [‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/resources/inpaint_template\2.jpg’], [‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/resources/inpaint_template\3.jpg’], [‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/resources/inpaint_template\4.jpg’], [‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/resources/inpaint_template\5.jpg’]]
C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\app.py:1379: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
output_images = gr.Gallery(
[]
C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\app.py:1530: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
output_images = gr.Gallery(
Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True in launch().
Startup time: 23.5s (prepare environment: 6.2s, import torch: 2.1s, import gradio: 0.7s, setup paths: 0.6s, initialize shared: 0.2s, other imports: 0.4s, setup codeformer: 0.2s, load scripts: 6.1s, initialize extra networks: 0.1s, create ui: 6.7s, gradio launch: 0.2s).
Applying attention optimization: xformers… done.
Model loaded in 8.4s (load weights from disk: 1.3s, create model: 0.7s, apply weights to model: 5.1s, apply half(): 0.1s, move model to device: 0.3s, load textual inversion embeddings: 0.2s, calculate empty prompt: 0.7s).
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”`
About this issue
- Original URL
- State: open
- Created 5 months ago
- Comments: 15
i was finally able to install it but it threw this error now:
instance_data_dir C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\worker_data\qw\training_data\AI-ModelScope/stable-diffusion-xl-base-1.0\jille Traceback (most recent call last): File “C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\facechain\train_text_to_image_lora_sdxl.py”, line 30, in <module> import cv2 ModuleNotFoundError: No module named ‘cv2’ Error executing the command: Command ‘[‘python’, ‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/facechain/train_text_to_image_lora_sdxl.py’, ‘–pretrained_model_name_or_path=AI-ModelScope/stable-diffusion-xl-base-1.0’, ‘–revision=v1.0.9’, ‘–sub_path=’, ‘–output_dataset_name=C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\worker_data\qw\training_data\AI-ModelScope/stable-diffusion-xl-base-1.0\jille’, ‘–caption_column=text’, ‘–resolution=512’, ‘–random_flip’, ‘–train_batch_size=1’, ‘–num_train_epochs=200’, ‘–checkpointing_steps=5000’, ‘–learning_rate=1.5e-04’, ‘–lr_scheduler=cosine’, ‘–lr_warmup_steps=0’, ‘–seed=42’, ‘–output_dir=C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\worker_data\qw\AI-ModelScope/stable-diffusion-xl-base-1.0\jille’, ‘–lora_r=4’, ‘–lora_alpha=32’, ‘–lora_text_encoder_r=32’, ‘–lora_text_encoder_alpha=32’]’ returned non-zero exit status 1. Traceback (most recent call last): File “C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\app.py”, line 147, in train_lora_fn subprocess.run(command, check=True) File “C:\Users\rouve\AppData\Local\Programs\Python\Python310\lib\subprocess.py”, line 524, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command ‘[‘python’, ‘C:\StableDiffusion\stable-diffusion-webui\extensions\facechain/facechain/train_text_to_image_lora_sdxl.py’, ‘–pretrained_model_name_or_path=AI-ModelScope/stable-diffusion-xl-base-1.0’, ‘–revision=v1.0.9’, ‘–sub_path=’, ‘–output_dataset_name=C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\worker_data\qw\training_data\AI-ModelScope/stable-diffusion-xl-base-1.0\jille’, ‘–caption_column=text’, ‘–resolution=512’, ‘–random_flip’, ‘–train_batch_size=1’, ‘–num_train_epochs=200’, ‘–checkpointing_steps=5000’, ‘–learning_rate=1.5e-04’, ‘–lr_scheduler=cosine’, ‘–lr_warmup_steps=0’, ‘–seed=42’, ‘–output_dir=C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\worker_data\qw\AI-ModelScope/stable-diffusion-xl-base-1.0\jille’, ‘–lora_r=4’, ‘–lora_alpha=32’, ‘–lora_text_encoder_r=32’, ‘–lora_text_encoder_alpha=32’]’ returned non-zero exit status 1.
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py”, line 488, in run_predict output = await app.get_blocks().process_api( File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py”, line 1431, in process_api result = await self.call_function( File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py”, line 1103, in call_function prediction = await anyio.to_thread.run_sync( File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py”, line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\anyio_backends_asyncio.py”, line 877, in run_sync_in_worker_thread return await future File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\anyio_backends_asyncio.py”, line 807, in run result = context.run(func, *args) File “C:\StableDiffusion\stable-diffusion-webui\venv\lib\site-packages\gradio\utils.py”, line 707, in wrapper response = f(*args, **kwargs) File “C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\app.py”, line 804, in run train_lora_fn(base_model_path=base_model_path, File “C:\StableDiffusion\stable-diffusion-webui\extensions\facechain\app.py”, line 150, in train_lora_fn raise gr.Error(“训练失败 (Training failed)”) gradio.exceptions.Error: ‘训练失败 (Training failed)’ INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/api/predict “HTTP/1.1 500 Internal Server Error” INFO:httpx:HTTP Request: POST http://127.0.0.1:7860/reset “HTTP/1.1 200 OK”
Alright that’s weird, as I’m currently using CUDA 11.8 and everything’s working as expected.
What happens when you try to start A1111?
Also, just an advise: this extension is full of problems. I uninstalled it and I am now using FaceSwapLab. No issue whatsoever.