Reference : https://skyksit.com/useful/install-stable-diffusion-for-windows/
https://bytexd.com/best-way-to-run-stable-diffusion-for-free/
Git 설치
winget install git |
Python 설치
winget install python |
Cuda 설치
winget install cuda |
설치되었는지 확인
winget list --name git |
stable-diffusion-webui 버전 다운받기
stable-diffusion-webui : stable-diffusion 을 사용하기 쉽게 웹브라우저 UI 를 제공하는 소스 이다
용량이 몇십 MByte 밖에 안됨
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git |
stable-diffusion Model 파일 받기
수많은 이미지로 stable diffusion 을 학습시킨 후의 model 파일로 용량은 4GByte 정도 됩니다
huggingface.co 에 회원가입해야지만 다운로드를 받을 수 있습니다.
https://huggingface.co/CompVis/stable-diffusion-v-1-4-original 접속
access repository
Hugging Face 계정이 필요함, 로그인 후 repository 접속 가능
sd-v1-4.ckpt 다운로드 (약 4GB)
alternative download site:
https://rentry.org/sdmodels
sd-v1-4.ckpt => model.ckpt 로 이름 변경하여
stable-diffusion-webui > models 에 옮겨놓습니다.
- 기본 이미지 생성 모델로 사용할 것 입니다
stable-diffusion-webui 실행하기
stable-diffusion-webui 폴더 안에 webui-user.bat
실행하면
필요한 python library 가 자동으로 설치됩니다
생각보다 오래 걸리는 데 한참 기다리면 설치가 완료 되고
Running on local URL : http://127.0.0.1:7860
이 나오면
웹브라우저에서 http://127.0.0.1:7860
를 접속하면 됩니다
그러나 구형 GTX650이 있는 내 피시에서 실행하면 다음 결과가....
PS C:\Users\jj\stable-diffusion-webui> .\webui-user.bat
venv "C:\Users\jj\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: 226d840e84c5f306350b0681945989b86760e616
Installing requirements for Web UI
Launching Web UI with arguments:
C:\Users\jj\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\__init__.py:132: UserWarning:
Found GPU0 NVIDIA GeForce GTX 650 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
The minimum cuda capability supported by this library is 3.7.
warnings.warn(old_gpu_warn % (d, name, major, minor, min_arch // 10, min_arch % 10))
No module 'xformers'. Proceeding without it.
Loading weights [fe4efff1e1] from C:\Users\jj\stable-diffusion-webui\models\Stable-diffusion\model.ckpt
Creating model from config: C:\Users\jj\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Failed to create model quickly; will retry using slow method.
LatentDiffusion: Running in eps-prediction mode
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "C:\Users\jj\stable-diffusion-webui\webui.py", line 111, in initialize
modules.sd_models.load_model()
File "C:\Users\jj\stable-diffusion-webui\modules\sd_models.py", line 392, in load_model
sd_model = instantiate_from_config(sd_config.model)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 79, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 550, in __init__
super().__init__(conditioning_key=conditioning_key, *args, **kwargs)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 92, in __init__
self.model = DiffusionWrapper(unet_config, conditioning_key)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1314, in __init__
self.diffusion_model = instantiate_from_config(diff_model_config)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 79, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 700, in __init__
) if not use_spatial_transformer else SpatialTransformer(
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 297, in __init__
[BasicTransformerBlock(inner_dim, n_heads, d_head, dropout=dropout, context_dim=context_dim[d],
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 297, in <listcomp>
[BasicTransformerBlock(inner_dim, n_heads, d_head, dropout=dropout, context_dim=context_dim[d],
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 251, in __init__
self.attn2 = attn_cls(query_dim=dim, context_dim=context_dim,
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\attention.py", line 156, in __init__
nn.Linear(inner_dim, query_dim),
File "C:\Users\jj\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\linear.py", line 96, in __init__
self.weight = Parameter(torch.empty((out_features, in_features), **factory_kwargs))
RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 6553600 bytes.
Stable diffusion model failed to load, exiting
결국 video RAM 이 부족하다는 이야기..
webui-user.bat 파일에 다음 줄을 추가하여 최적화가 가능하다하여 수행해 봄.
set PYTORCH_CUDA_ALLOC_CONF=garbage_collection_threshold:0.6,max_split_size_mb:128
PS C:\Users\jj\stable-diffusion-webui> .\webui-user
venv "C:\Users\jj\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: 226d840e84c5f306350b0681945989b86760e616
Installing requirements for Web UI
Launching Web UI with arguments:
C:\Users\jj\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\__init__.py:132: UserWarning:
Found GPU0 NVIDIA GeForce GTX 650 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
The minimum cuda capability supported by this library is 3.7.
warnings.warn(old_gpu_warn % (d, name, major, minor, min_arch // 10, min_arch % 10))
No module 'xformers'. Proceeding without it.
Loading weights [fe4efff1e1] from C:\Users\jj\stable-diffusion-webui\models\Stable-diffusion\model.ckpt
Creating model from config: C:\Users\jj\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Failed to create model quickly; will retry using slow method.
LatentDiffusion: Running in eps-prediction mode
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "C:\Users\jj\stable-diffusion-webui\webui.py", line 111, in initialize
modules.sd_models.load_model()
File "C:\Users\jj\stable-diffusion-webui\modules\sd_models.py", line 392, in load_model
sd_model = instantiate_from_config(sd_config.model)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 79, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 550, in __init__
super().__init__(conditioning_key=conditioning_key, *args, **kwargs)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 92, in __init__
self.model = DiffusionWrapper(unet_config, conditioning_key)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1314, in __init__
self.diffusion_model = instantiate_from_config(diff_model_config)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\util.py", line 79, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict()))
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 667, in __init__
ResBlock(
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 229, in __init__
conv_nd(dims, self.out_channels, self.out_channels, 3, padding=1)
File "C:\Users\jj\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\util.py", line 228, in conv_nd
return nn.Conv2d(*args, **kwargs)
File "C:\Users\jj\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\conv.py", line 450, in __init__
super(Conv2d, self).__init__(
File "C:\Users\jj\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\conv.py", line 137, in __init__
self.weight = Parameter(torch.empty(
RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 14745600 bytes.
다른 optimized 버젼으로 다음이 있다.
https://github.com/gammagec/Dreambooth-SD-optimized
https://github.com/basujindal/stable-diffusion
https://github.com/TheLastBen/fast-stable-diffusion
https://github.com/Sygil-Dev/sygil-webui
https://github.com/TheLastBen/fast-stable-diffusion
다음 명령으로 재시도
git clone https://github.com/Sygil-Dev/sygil-webui.git
PS C:\Users\jj\sygil-webui> .\webui.cmd
Environment name is set as ldm as per environment.yaml
anaconda3/miniconda3 detected in C:\ProgramData\miniconda3
Stashing local changes and pulling latest update...
No local changes to save
Already up to date.
지정된 파일을 찾을 수 없습니다.
Current environment.yaml hash: 9283bb875f26c330f8350854307a310154abc811
Previous environment.yaml hash:
environment.yaml changed. updating dependencies
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 22.11.1
latest version: 23.1.0
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=23.1.0
Ran pip subprocess with arguments:
['C:\\ProgramData\\miniconda3\\envs\\ldm\\python.exe', '-m', 'pip', 'install', '-U', '-r', 'C:\\Users\\jj\\sygil-webui\\condaenv.4y1davem.requirements.txt', '--exists-action=b']
Pip subprocess output:
Obtaining file:///C:/Users/jj/sygil-webui (from -r C:\Users\jj\sygil-webui\requirements.txt (line 1))
Obtaining taming-transformers from git+https://github.com/CompVis/taming-transformers#egg=taming-transformers (from -r C:\Users\jj\sygil-webui\requirements.txt (line 6))
Cloning https://github.com/CompVis/taming-transformers to c:\users\jj\sygil-webui\src\taming-transformers
Collecting clip
Cloning https://github.com/openai/CLIP.git (to revision main) to c:\users\jj\appdata\local\temp\pip-install-vg78rq2d\clip_8178cc0a56044c16804a7b84af49a272
Collecting git+https://github.com/crowsonkb/k-diffusion.git (from -r C:\Users\jj\sygil-webui\requirements.txt (line 13))
Cloning https://github.com/crowsonkb/k-diffusion.git to c:\users\jj\appdata\local\temp\pip-req-build-5tbsv57h
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Installing backend dependencies: started
Installing backend dependencies: finished with status 'done'
Preparing wheel metadata: started
Preparing wheel metadata: finished with status 'done'
Obtaining latent-diffusion from git+https://github.com/devilismyfriend/latent-diffusion#egg=latent-diffusion (from -r C:\Users\jj\sygil-webui\requirements.txt (line 98))
Cloning https://github.com/devilismyfriend/latent-diffusion to c:\users\jj\sygil-webui\src\latent-diffusion
Requirement already satisfied: torch in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from clip->-r C:\Users\jj\sygil-webui\requirements.txt (line 11)) (1.13.0)
Requirement already satisfied: torchvision in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from clip->-r C:\Users\jj\sygil-webui\requirements.txt (line 11)) (0.14.0)
Requirement already satisfied: Pillow in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from k-diffusion==0.0.12->-r C:\Users\jj\sygil-webui\requirements.txt (line 13)) (9.3.0)
Requirement already satisfied: scikit-image in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from k-diffusion==0.0.12->-r C:\Users\jj\sygil-webui\requirements.txt (line 13)) (0.19.2)
Requirement already satisfied: scipy in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from k-diffusion==0.0.12->-r C:\Users\jj\sygil-webui\requirements.txt (line 13)) (1.9.3)
Requirement already satisfied: numpy in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from latent-diffusion->-r C:\Users\jj\sygil-webui\requirements.txt (line 98)) (1.23.3)
Collecting accelerate==0.12.0
Downloading accelerate-0.12.0-py3-none-any.whl (143 kB)
Requirement already satisfied: packaging>=20.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from accelerate==0.12.0->-r C:\Users\jj\sygil-webui\requirements.txt (line 72)) (22.0)
Requirement already satisfied: pyyaml in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from accelerate==0.12.0->-r C:\Users\jj\sygil-webui\requirements.txt (line 72)) (6.0)
Collecting albumentations==0.4.3
Downloading albumentations-0.4.3.tar.gz (3.2 MB)
Collecting barfi==0.7.0
Downloading barfi-0.7.0-py3-none-any.whl (686 kB)
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Collecting basicsr==1.4.2
Downloading basicsr-1.4.2.tar.gz (172 kB)
Requirement already satisfied: requests in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from basicsr==1.4.2->-r C:\Users\jj\sygil-webui\requirements.txt (line 95)) (2.28.1)
Collecting diffusers==0.7.2
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Downloading fairscale-0.4.4.tar.gz (235 kB)
Installing build dependencies: started
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Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Installing backend dependencies: started
Installing backend dependencies: finished with status 'done'
Preparing wheel metadata: started
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Collecting ftfy==6.1.1
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Building wheels for collected packages: clip, k-diffusion, albumentations, basicsr, fairscale, hydralit, hydralit-components, jsonmerge, pudb, streamlit-nested-layout, antlr4-python3-runtime, test-tube, audioread, imgaug, urwid, validators, wget, bs4, ffmpy, filterpy, future, proxy-tools, python-multipart, pathtools
Building wheel for clip (setup.py): started
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Created wheel for clip: filename=clip-1.0-py3-none-any.whl size=1369447 sha256=beb436d2c933dbc00f5ea3a7fe992f0f2a772deba1bbe67df41fd645f204a631
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Created wheel for k-diffusion: filename=k_diffusion-0.0.12-py3-none-any.whl size=25409 sha256=77024218c70c7448d45298053788e0f752beaf72236cdd9c41a1d75db5cea28c
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Building wheel for albumentations (setup.py): started
Building wheel for albumentations (setup.py): finished with status 'done'
Created wheel for albumentations: filename=albumentations-0.4.3-py3-none-any.whl size=60767 sha256=3c7c861a63c52685b47a3ab22d6ddb7dc4abc1917a7cf4ce54ff81f18889c5c7
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\a0\37\4e\0bd417ba6a58f73329b825623d8c949e8e4ac2cdbd252b786d
Building wheel for basicsr (setup.py): started
Building wheel for basicsr (setup.py): finished with status 'done'
Created wheel for basicsr: filename=basicsr-1.4.2-py3-none-any.whl size=214829 sha256=97de9f263f6e8d24a74f102674a76b2e8792ec493da0605e0fef5781580756d2
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\4d\d3\95\e17d0bcdd7dcfb0dbf79db006711e434c42036efbf6695ef7f
Building wheel for fairscale (PEP 517): started
Building wheel for fairscale (PEP 517): finished with status 'done'
Created wheel for fairscale: filename=fairscale-0.4.4-py3-none-any.whl size=292848 sha256=afe801896af0d7d481b8f6aa91e62b757d52b7e4c755134259367604fbf6f760
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\b3\c3\6e\3fca67aaef3657c2266e9ee439b54f534f05967cd8774cc65b
Building wheel for hydralit (setup.py): started
Building wheel for hydralit (setup.py): finished with status 'done'
Created wheel for hydralit: filename=hydralit-1.0.14-py3-none-any.whl size=24740 sha256=bbaaedf4f1ab1418b0096dafe09969ec60cb33eab1b625bfacc8321c07697a0a
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\85\43\39\3f55747242e527e6f3e516d440a19403569c02e740d9f7e037
Building wheel for hydralit-components (setup.py): started
Building wheel for hydralit-components (setup.py): still running...
Building wheel for hydralit-components (setup.py): still running...
Building wheel for hydralit-components (setup.py): finished with status 'done'
Created wheel for hydralit-components: filename=hydralit_components-1.0.10-py3-none-any.whl size=24347405 sha256=94c5f38191597568c03f5936fb2479daec227ee6f6c506b9ec406b918c3c0bca
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\7c\ee\2a\8cacce66077173c3114fe9f7da47622e46a3b5c453fb142be7
Building wheel for jsonmerge (setup.py): started
Building wheel for jsonmerge (setup.py): finished with status 'done'
Created wheel for jsonmerge: filename=jsonmerge-1.8.0-py3-none-any.whl size=17987 sha256=5192064019f6f22ec041f8b7cf4897309fb928eeb09c239de75be80c14630fdb
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\b7\2f\9f\e0ef579cf9c1c669c5f9c18acf76c2b079e9a8ee92c85884e4
Building wheel for pudb (setup.py): started
Building wheel for pudb (setup.py): finished with status 'done'
Created wheel for pudb: filename=pudb-2019.2-py3-none-any.whl size=63218 sha256=cc9b9389effeb56b7abda876b9b36c3676ad1b1557630f4ae9c255f9db878387
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\48\83\f1\d8a09d401e2512bfda01ac9fc1b334885f9ddf51617c1c49f1
Building wheel for streamlit-nested-layout (setup.py): started
Building wheel for streamlit-nested-layout (setup.py): finished with status 'done'
Created wheel for streamlit-nested-layout: filename=streamlit_nested_layout-0.1.1-py3-none-any.whl size=7060 sha256=163fd228bff418d3d2da49cea1e2882bccdddba2d5d3b7a15032c1b891646563
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\b7\1b\ad\417eac75ddc335844a21fad6e413a27e9c4845962c5676a9fc
Building wheel for antlr4-python3-runtime (setup.py): started
Building wheel for antlr4-python3-runtime (setup.py): finished with status 'done'
Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144566 sha256=9b904d72401fdab0c61b1a8ac1d931fa45ba11f5379442dbad7a28673b79b4f6
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\b1\a3\c2\6df046c09459b73cc9bb6c4401b0be6c47048baf9a1617c485
Building wheel for test-tube (setup.py): started
Building wheel for test-tube (setup.py): finished with status 'done'
Created wheel for test-tube: filename=test_tube-0.7.5-py3-none-any.whl size=25328 sha256=6916733c1ef6cd409906bc0dce2b2785ccee7ff51510f804a3baa92c27eeab1e
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\95\b0\3a\00ea66dbb0d9ce470ce1bdcb854a6fa030c279c316cb27ca9e
Building wheel for audioread (setup.py): started
Building wheel for audioread (setup.py): finished with status 'done'
Created wheel for audioread: filename=audioread-3.0.0-py3-none-any.whl size=23703 sha256=3f6abe6d4c794ba2d0937f038555c7ee96421c9d6b28f6e048ca123ca91c34fd
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\0a\ed\be\49df2538fca496690a024a4374455584d65c2afd6fc3d6e9c7
Building wheel for imgaug (setup.py): started
Building wheel for imgaug (setup.py): finished with status 'done'
Created wheel for imgaug: filename=imgaug-0.2.6-py3-none-any.whl size=654004 sha256=47f6b082f8961a116e6083f828d13a357f60e11710b271fc53126fe7e17f6c00
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\41\23\e8\b1016c275f713978d312621da3c4f55920ec4297798aba8a5a
Building wheel for urwid (setup.py): started
Building wheel for urwid (setup.py): finished with status 'done'
Created wheel for urwid: filename=urwid-2.1.2-py3-none-any.whl size=235033 sha256=3f9dcd3f6fb7c8c4c44de5d8fc3126acf4b213cac87f41201d23138aff4b6332
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\28\71\e4\38b5d81438105d0e3db5016cf2eea6fa796d89d96a04451d4d
Building wheel for validators (setup.py): started
Building wheel for validators (setup.py): finished with status 'done'
Created wheel for validators: filename=validators-0.20.0-py3-none-any.whl size=19579 sha256=98ae987ae535f044c861c4e89df534c86a2f7919f98c6e7f081c4af6bf4874ec
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\19\09\72\3eb74d236bb48bd0f3c6c3c83e4e0c5bbfcbcad7c6c3539db8
Building wheel for wget (setup.py): started
Building wheel for wget (setup.py): finished with status 'done'
Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9657 sha256=16d866d2b46df48c954273dd96fe721eb37592ec7c1753259c10e4ccb47c9446
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\bd\a8\c3\3cf2c14a1837a4e04bd98631724e81f33f462d86a1d895fae0
Building wheel for bs4 (setup.py): started
Building wheel for bs4 (setup.py): finished with status 'done'
Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1257 sha256=275c06211c6a48d59550c2aedd02f630029a5c281ffab8e8d1c0e06b452c60c4
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\75\78\21\68b124549c9bdc94f822c02fb9aa3578a669843f9767776bca
Building wheel for ffmpy (setup.py): started
Building wheel for ffmpy (setup.py): finished with status 'done'
Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4693 sha256=3b4407b7f0ff2a6456614de963f3eb8994956fe01f1e6b478f6468ba2385cb41
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\ff\5b\59\913b443e7369dc04b61f607a746b6f7d83fb65e2e19fcc958d
Building wheel for filterpy (setup.py): started
Building wheel for filterpy (setup.py): finished with status 'done'
Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110458 sha256=fd9a80b3ddae2e339c77abd53c5c2732a416d41d027f1dd71ebda88833a52194
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\fe\f6\cb\40331472edf4fd399b8cad02973c6acbdf26898342928327fe
Building wheel for future (setup.py): started
Building wheel for future (setup.py): finished with status 'done'
Created wheel for future: filename=future-0.18.3-py3-none-any.whl size=492025 sha256=3fa81809da287521612e804b8c4bc14540d941475639a0fcd8d0e90c81fc93fe
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\a0\0b\ee\e6994fadb42c1354dcccb139b0bf2795271bddfe6253ccdf11
Building wheel for proxy-tools (setup.py): started
Building wheel for proxy-tools (setup.py): finished with status 'done'
Created wheel for proxy-tools: filename=proxy_tools-0.1.0-py3-none-any.whl size=2904 sha256=066345d83a3d70f97b17b0f67a975cc6b48ad25a2d1b2bd243e1a370cd3d4462
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\03\35\0a\131f8bc4a51657d140a295ef6d2abce674a3538aeb33077c37
Building wheel for python-multipart (setup.py): started
Building wheel for python-multipart (setup.py): finished with status 'done'
Created wheel for python-multipart: filename=python_multipart-0.0.5-py3-none-any.whl size=31671 sha256=202113498a1f5ab5dd06a88f0a71d3c7ed67201752e578f9722ed39fe9b934df
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\9e\fc\1c\cf980e6413d3ee8e70cd8f39e2366b0f487e3e221aeb452eb0
Building wheel for pathtools (setup.py): started
Building wheel for pathtools (setup.py): finished with status 'done'
Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8792 sha256=eb89191fa1364910719dab0c666b849b253478087d50e5e1941b737fc5d98e0e
Stored in directory: c:\users\jj\appdata\local\pip\cache\wheels\4c\8e\7e\72fbc243e1aeecae64a96875432e70d4e92f3d2d18123be004
Successfully built clip k-diffusion albumentations basicsr fairscale hydralit hydralit-components jsonmerge pudb streamlit-nested-layout antlr4-python3-runtime test-tube audioread imgaug urwid validators wget bs4 ffmpy filterpy future proxy-tools python-multipart pathtools
Installing collected packages: pyasn1, zipp, rsa, pyasn1-modules, oauthlib, cachetools, tzdata, smmap, requests-oauthlib, pytz, python-dateutil, pyrsistent, pyparsing, pkgutil-resolve-name, multidict, mdurl, MarkupSafe, kiwisolver, importlib-resources, importlib-metadata, google-auth, frozenlist, fonttools, cycler, contourpy, backports.zoneinfo, attrs, yarl, werkzeug, tensorboard-plugin-wit, tensorboard-data-server, soupsieve, sniffio, pytz-deprecation-shim, pyreadline3, pygments, protobuf, pandas, matplotlib, markdown-it-py, markdown, llvmlite, jsonschema, Jinja2, imageio, grpcio, google-auth-oauthlib, gitdb, entrypoints, decorator, colorama, async-timeout, aiosignal, absl-py, yapf, wcwidth, watchdog, validators, uc-micro-py, tzlocal, tqdm, tornado, toml, tb-nightly, semver, rich, rfc3986, pympler, pydeck, pyarrow, opencv-python, numba, mpmath, lmdb, humanfriendly, h11, gitpython, future, filterpy, click, blinker, beautifulsoup4, anyio, altair, aiohttp, addict, xyzservices, trampoline, torchmetrics, threadpoolctl, tensorboard, sympy, streamlit, starlette, setproctitle, sentry-sdk, regex, pynacl, pyDeprecate, pydantic, psutil, pathtools, mdit-py-plugins, lxml, linkify-it-py, joblib, httpcore, ftfy, flatbuffers, filelock, facexlib, docker-pycreds, coloredlogs, clr-loader, bs4, boltons, bcrypt, basicsr, appdirs, antlr4-python3-runtime, wrapt, win32-setctime, websockets, wandb, uvicorn, urwid, torchsde, torchdiffeq, tokenizers, text-unidecode, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, soundfile, scikit-learn, resize-right, resampy, pytorch-lightning, pythonnet, python-multipart, pydub, pycryptodome, py, proxy-tools, pooch, paramiko, orjson, opt-einsum, opencv-python-headless, onnxruntime, onnx, omegaconf, libclang, kornia, keras-preprocessing, keras, jsonmerge, imgaug, hydralit-components, huggingface-hub, httpx, h5py, google-pasta, gfpgan, gast, ffmpy, fastapi, einops, compress-pickle, clip-anytorch, clean-fid, bokeh, audioread, astunparse, accelerate, wget, transformers, torch-fidelity, timm, test-tube, tensorflow, taming-transformers-rom1504, taming-transformers, sygil-webui, streamlit-tensorboard, streamlit-server-state, streamlit-option-menu, streamlit-on-Hover-tabs, streamlit-nested-layout, streamlit-elements, streamlit-drawable-canvas, streamlit-ace, stqdm, shutup, retry, realesrgan, pywebview, python-slugify, pynvml, pudb, piexif, open-clip-torch, loguru, librosa, latent-diffusion, k-diffusion, invisible-watermark, imageio-ffmpeg, hydralit, gradio, fairscale, diffusers, clip, barfi, albumentations
Attempting uninstall: imageio
Found existing installation: imageio 2.19.3
Uninstalling imageio-2.19.3:
Successfully uninstalled imageio-2.19.3
Running setup.py develop for taming-transformers
Running setup.py develop for sygil-webui
Running setup.py develop for latent-diffusionSuccessfully installed Jinja2-3.1.2 MarkupSafe-2.1.2 absl-py-1.4.0 accelerate-0.12.0 addict-2.4.0 aiohttp-3.8.3 aiosignal-1.3.1 albumentations-0.4.3 altair-4.2.2 antlr4-python3-runtime-4.9.3 anyio-3.6.2 appdirs-1.4.4 astunparse-1.6.3 async-timeout-4.0.2 attrs-22.2.0 audioread-3.0.0 backports.zoneinfo-0.2.1 barfi-0.7.0 basicsr-1.4.2 bcrypt-4.0.1 beautifulsoup4-4.11.2 blinker-1.5 bokeh-3.0.3 boltons-21.0.0 bs4-0.0.1 cachetools-5.3.0 clean-fid-0.1.35 click-8.1.3 clip-1.0 clip-anytorch-2.5.0 clr-loader-0.2.5 colorama-0.4.6 coloredlogs-15.0.1 compress-pickle-2.1.0 contourpy-1.0.7 cycler-0.11.0 decorator-5.1.1 diffusers-0.7.2 docker-pycreds-0.4.0 einops-0.3.1 entrypoints-0.4 facexlib-0.2.5 fairscale-0.4.4 fastapi-0.89.1 ffmpy-0.3.0 filelock-3.9.0 filterpy-1.4.5 flatbuffers-23.1.21 fonttools-4.38.0 frozenlist-1.3.3 ftfy-6.1.1 future-0.18.3 gast-0.4.0 gfpgan-1.3.8 gitdb-4.0.10 gitpython-3.1.30 google-auth-2.16.0 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 gradio-3.4.1 grpcio-1.51.1 h11-0.12.0 h5py-3.8.0 httpcore-0.15.0 httpx-0.23.3 huggingface-hub-0.12.0 humanfriendly-10.0 hydralit-1.0.14 hydralit-components-1.0.10 imageio-2.9.0 imageio-ffmpeg-0.4.2 imgaug-0.2.6 importlib-metadata-6.0.0 importlib-resources-5.10.2 invisible-watermark-0.1.5 joblib-1.2.0 jsonmerge-1.8.0 jsonschema-4.17.3 k-diffusion-0.0.12 keras-2.10.0 keras-preprocessing-1.1.2 kiwisolver-1.4.4 kornia-0.6.0 latent-diffusion libclang-15.0.6.1 librosa-0.9.2 linkify-it-py-1.0.3 llvmlite-0.39.1 lmdb-1.4.0 loguru-0.6.0 lxml-4.9.2 markdown-3.4.1 markdown-it-py-2.1.0 matplotlib-3.6.0 mdit-py-plugins-0.3.3 mdurl-0.1.2 mpmath-1.2.1 multidict-6.0.4 numba-0.56.4 oauthlib-3.2.2 omegaconf-2.2.3 onnx-1.12.0 onnxruntime-1.13.1 open-clip-torch-2.0.2 opencv-python-4.7.0.68 opencv-python-headless-4.6.0.66 opt-einsum-3.3.0 orjson-3.8.5 pandas-1.4.3 paramiko-3.0.0 pathtools-0.1.2 piexif-1.1.3 pkgutil-resolve-name-1.3.10 pooch-1.6.0 protobuf-3.19.6 proxy-tools-0.1.0 psutil-5.9.4 pudb-2019.2 py-1.11.0 pyDeprecate-0.3.2 pyarrow-11.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycryptodome-3.17 pydantic-1.10.4 pydeck-0.8.0 pydub-0.25.1 pygments-2.14.0 pympler-1.0.1 pynacl-1.5.0 pynvml-11.4.1 pyparsing-3.0.9 pyreadline3-3.4.1 pyrsistent-0.19.3 python-dateutil-2.8.2 python-multipart-0.0.5 python-slugify-6.1.2 pythonnet-3.0.1 pytorch-lightning-1.7.7 pytz-2022.7.1 pytz-deprecation-shim-0.1.0.post0 pywebview-3.6.3 realesrgan-0.3.0 regex-2022.10.31 requests-oauthlib-1.3.1 resampy-0.4.2 resize-right-0.0.2 retry-0.9.2 rfc3986-1.5.0 rich-13.3.1 rsa-4.9 scikit-learn-1.2.1 semver-2.13.0 sentry-sdk-1.14.0 setproctitle-1.3.2 shutup-0.2.0 smmap-5.0.0 sniffio-1.3.0 soundfile-0.11.0 soupsieve-2.3.2.post1 starlette-0.22.0 stqdm-0.0.4 streamlit-1.14.0 streamlit-ace-0.1.1 streamlit-drawable-canvas-0.9.2 streamlit-elements-0.1.0 streamlit-nested-layout-0.1.1 streamlit-on-Hover-tabs-1.0.1 streamlit-option-menu-0.3.2 streamlit-server-state-0.15.0 streamlit-tensorboard-0.0.2 sygil-webui sympy-1.11.1 taming-transformers taming-transformers-rom1504-0.0.6 tb-nightly-2.12.0a20230126 tensorboard-2.10.1 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 tensorflow-2.10.0 tensorflow-estimator-2.10.0 tensorflow-io-gcs-filesystem-0.30.0 termcolor-2.2.0 test-tube-0.7.5 text-unidecode-1.3 threadpoolctl-3.1.0 timm-0.6.7 tokenizers-0.12.1 toml-0.10.2 torch-fidelity-0.3.0 torchdiffeq-0.2.3 torchmetrics-0.11.1 torchsde-0.2.5 tornado-6.2 tqdm-4.64.0 trampoline-0.1.2 transformers-4.19.2 tzdata-2022.7 tzlocal-4.2 uc-micro-py-1.0.1 urwid-2.1.2 uvicorn-0.20.0 validators-0.20.0 wandb-0.13.9 watchdog-2.2.1 wcwidth-0.2.6 websockets-10.4 werkzeugRan pip subprocess with arguments:
['C:\\ProgramData\\miniconda3\\envs\\ldm\\python.exe', '-m', 'pip', 'install', '-U', '-r', 'C:\\Users\\jj\\sygil-webui\\condaenv.r3axumok.requirements.txt', '--exists-action=b']
Pip subprocess output:
Obtaining file:///C:/Users/jj/sygil-webui (from -r C:\Users\jj\sygil-webui\requirements.txt (line 1))
Obtaining taming-transformers from git+https://github.com/CompVis/taming-transformers#egg=taming-transformers (from -r C:\Users\jj\sygil-webui\requirements.txt (line 6))
Updating c:\users\jj\sygil-webui\src\taming-transformers clone
Requirement already satisfied: invisible-watermark==0.1.5 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 7)) (0.1.5)
Requirement already satisfied: taming-transformers-rom1504==0.0.6 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 8)) (0.0.6)
Collecting clip
Cloning https://github.com/openai/CLIP.git (to revision main) to c:\users\jj\appdata\local\temp\pip-install-ow7wm9zc\clip_ef51a4a26a074f5cbba9e31e11485ad1
Collecting git+https://github.com/crowsonkb/k-diffusion.git (from -r C:\Users\jj\sygil-webui\requirements.txt (line 13))
Cloning https://github.com/crowsonkb/k-diffusion.git to c:\users\jj\appdata\local\temp\pip-req-build-s4yi6pef
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Installing backend dependencies: started
Installing backend dependencies: finished with status 'done'
Preparing wheel metadata: started
Preparing wheel metadata: finished with status 'done'
Requirement already satisfied: pynvml==11.4.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 17)) (11.4.1)
Requirement already satisfied: omegaconf==2.2.3 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 18)) (2.2.3)
Requirement already satisfied: Jinja2==3.1.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 22)) (3.1.2)
Requirement already satisfied: gradio==3.4.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 25)) (3.4.1)
Requirement already satisfied: streamlit==1.14.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 28)) (1.14.0)
Requirement already satisfied: streamlit-on-Hover-tabs==1.0.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 29)) (1.0.1)
Requirement already satisfied: streamlit-option-menu==0.3.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 30)) (0.3.2)
Requirement already satisfied: streamlit_nested_layout==0.1.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 31)) (0.1.1)
Requirement already satisfied: streamlit-server-state==0.15.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 32)) (0.15.0)
Requirement already satisfied: streamlit-tensorboard==0.0.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 33)) (0.0.2)
Requirement already satisfied: streamlit-elements==0.1.* in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 34)) (0.1.0)
Requirement already satisfied: streamlit-ace==0.1.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 35)) (0.1.1)
Requirement already satisfied: hydralit==1.0.14 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 37)) (1.0.14)
Requirement already satisfied: hydralit_components==1.0.10 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 38)) (1.0.10)
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Requirement already satisfied: resize-right==0.0.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 44)) (0.0.2)
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Requirement already satisfied: barfi==0.7.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 46)) (0.7.0)
Requirement already satisfied: diffusers==0.7.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 51)) (0.7.2)
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Requirement already satisfied: streamlit-drawable-canvas==0.9.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 55)) (0.9.2)
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Requirement already satisfied: fairscale==0.4.4 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 59)) (0.4.4)
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Requirement already satisfied: tqdm==4.64.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 62)) (4.64.0)
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Requirement already satisfied: piexif==1.1.3 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 68)) (1.1.3)
Requirement already satisfied: pywebview==3.6.3 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 69)) (3.6.3)
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Requirement already satisfied: accelerate==0.12.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 72)) (0.12.0)
Requirement already satisfied: albumentations==0.4.3 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 73)) (0.4.3)
Requirement already satisfied: einops==0.3.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 74)) (0.3.1)
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Requirement already satisfied: opencv-python-headless==4.6.0.66 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 80)) (4.6.0.66)
Requirement already satisfied: open-clip-torch==2.0.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 81)) (2.0.2)
Requirement already satisfied: pandas==1.4.3 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 82)) (1.4.3)
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Requirement already satisfied: pytorch-lightning==1.7.7 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 84)) (1.7.7)
Requirement already satisfied: realesrgan==0.3.0 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 85)) (0.3.0)
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Requirement already satisfied: transformers==4.19.2 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 89)) (4.19.2)
Requirement already satisfied: wget in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 90)) (3.2)
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Requirement already satisfied: gfpgan==1.3.8 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from -r C:\Users\jj\sygil-webui\requirements.txt (line 96)) (1.3.8)
Obtaining latent-diffusion from git+https://github.com/devilismyfriend/latent-diffusion#egg=latent-diffusion (from -r C:\Users\jj\sygil-webui\requirements.txt (line 98))
Updating c:\users\jj\sygil-webui\src\latent-diffusion clone
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Requirement already satisfied: torch in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from clip->-r C:\Users\jj\sygil-webui\requirements.txt (line 11)) (1.13.0)
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Requirement already satisfied: Pillow in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from k-diffusion==0.0.12->-r C:\Users\jj\sygil-webui\requirements.txt (line 13)) (9.3.0)
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Requirement already satisfied: PyWavelets>=1.1.1 in c:\programdata\miniconda3\envs\ldm\lib\site-packages (from invisible-watermark==0.1.5->-r C:\Users\jj\sygil-webui\requirements.txt (line 7)) (1.4.1)
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Installing collected packages: taming-transformers, sygil-webui, latent-diffusion
Attempting uninstall: taming-transformers
Found existing installation: taming-transformers 0.0.1
Uninstalling taming-transformers-0.0.1:
Successfully uninstalled taming-transformers-0.0.1
Running setup.py develop for taming-transformers
Attempting uninstall: sygil-webui
Found existing installation: sygil-webui 0.0.1
Uninstalling sygil-webui-0.0.1:
Successfully uninstalled sygil-webui-0.0.1
Running setup.py develop for sygil-webui
Attempting uninstall: latent-diffusion
Found existing installation: latent-diffusion 0.0.1
Uninstalling latent-diffusion-0.0.1:
Successfully uninstalled latent-diffusion-0.0.1
Running setup.py develop for latent-diffusion
Successfully installed latent-diffusion sygil-webui taming-transformers
done
#
# To activate this environment, use
#
# $ conda activate ldm
#
# To deactivate an active environment, use
#
# $ conda deactivate
Your model file does not exist! Once the WebUI launches please visit the Model Manager page and download the models by using the Download button for each model.
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voila!아래와 같은 사이트를 띄우는데 성공!!
먼저 model manager에 들어가서 stable diffusuin v1.5 모델을 다운로드 한다.
그 다음으로 시험삼아 bear doll wears schoold uniform으로 그림을 만들어보라고 generate 클릭. (작은 RAM 용량을 감안해 size도 기본값인 512, 512를 192,192로 낮춤)
하지만 생성 실패
> File "C:\Users\jj\sygil-webui\scripts\webui_streamlit.py", line 203, in <module>
layout()
└ <function layout at 0x00000110D9A04AF0>
File "C:\Users\jj\sygil-webui\scripts\webui_streamlit.py", line 136, in layout
layout()
└ <function layout at 0x00000110C4D5CAF0>
File "scripts\txt2img.py", line 669, in layout
load_models(use_LDSR=st.session_state["use_LDSR"], LDSR_model=st.session_state["LDSR_model"],
│ │ │ │ └ <streamlit.runtime.state.session_state_proxy.SessionStateProxy object at 0x00000110C378CF70>
│ │ │ └ <module 'hydralit' from 'C:\\ProgramData\\miniconda3\\envs\\ldm\\lib\\site-packages\\hydralit\\__init__.py'>
│ │ └ <streamlit.runtime.state.session_state_proxy.SessionStateProxy object at 0x00000110C378CF70>
│ └ <module 'hydralit' from 'C:\\ProgramData\\miniconda3\\envs\\ldm\\lib\\site-packages\\hydralit\\__init__.py'>
└ <function load_models at 0x00000110D2A04B80>
File "scripts\sd_utils\__init__.py", line 461, in load_models
config, device, model, modelCS, modelFS = load_sd_model(custom_model)
│ └ 'Stable Diffusion v1.5'
└ <function load_sd_model at 0x00000110D2AFAB80>
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
│ │ │ │ └ {}
│ │ │ └ ('Stable Diffusion v1.5',)
│ │ └ ()
│ └ <function load_sd_model at 0x00000110D2AFAAF0>
└ <function retry.<locals>.retry_decorator at 0x00000110D2AFA8B0>
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\retry\api.py", line 73, in retry_decorator
return __retry_internal(partial(f, *args, **kwargs), exceptions, tries, delay, max_delay, backoff, jitter,
│ │ │ │ │ │ │ │ │ │ └ 0
│ │ │ │ │ │ │ │ │ └ 1
│ │ │ │ │ │ │ │ └ None
│ │ │ │ │ │ │ └ 0
│ │ │ │ │ │ └ 5
│ │ │ │ │ └ <class 'Exception'>
│ │ │ │ └ {}
│ │ │ └ ('Stable Diffusion v1.5',)
│ │ └ <function load_sd_model at 0x00000110D2AFAAF0>
│ └ <class 'functools.partial'>
└ <function __retry_internal at 0x00000110D1297DC0>
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\retry\api.py", line 33, in __retry_internal
return f()
└ functools.partial(<function load_sd_model at 0x00000110D2AFAAF0>, 'Stable Diffusion v1.5')
File "scripts\sd_utils\__init__.py", line 1573, in load_sd_model
model = load_model_from_config(config, ckpt_path)
│ │ └ 'models/ldm/stable-diffusion-v1/Stable Diffusion v1.5.ckpt'
│ └ {'model': {'base_learning_rate': 0.0001, 'target': 'ldm.models.diffusion.ddpm.LatentDiffusion', 'params': {'linear_start': 0....
└ <function load_model_from_config at 0x00000110D2A04C10>
File "scripts\sd_utils\__init__.py", line 502, in load_model_from_config
model = instantiate_from_config(config.model, personalization_config='')
│ └ {'model': {'base_learning_rate': 0.0001, 'target': 'ldm.models.diffusion.ddpm.LatentDiffusion', 'params': {'linear_start': 0....
└ <function instantiate_from_config at 0x00000110D1297820>
File "C:\Users\jj\sygil-webui\ldm\util.py", line 89, in instantiate_from_config
return get_obj_from_str(config['target'])(
│ └ {'base_learning_rate': 0.0001, 'target': 'ldm.models.diffusion.ddpm.LatentDiffusion', 'params': {'linear_start': 0.00085, 'li...
└ <function get_obj_from_str at 0x00000110D12978B0>
File "C:\Users\jj\sygil-webui\ldm\models\diffusion\ddpm.py", line 646, in __init__
super().__init__(conditioning_key=conditioning_key, *args, **kwargs)
│ │ └ {'linear_start': 0.00085, 'linear_end': 0.012, 'log_every_t': 200, 'timesteps': 1000, 'first_stage_key': 'jpg', 'image_size':...
│ └ ()
└ 'crossattn'
File "C:\Users\jj\sygil-webui\ldm\models\diffusion\ddpm.py", line 119, in __init__
self.model = DiffusionWrapper(unet_config, conditioning_key)
│ │ │ └ 'crossattn'
│ │ └ {'target': 'ldm.modules.diffusionmodules.openaimodel.UNetModel', 'params': {'image_size': 32, 'in_channels': 4, 'out_channels...
│ └ <class 'ldm.models.diffusion.ddpm.DiffusionWrapper'>
└ LatentDiffusion()
File "C:\Users\jj\sygil-webui\ldm\models\diffusion\ddpm.py", line 2217, in __init__
self.diffusion_model = instantiate_from_config(diff_model_config)
│ │ └ {'target': 'ldm.modules.diffusionmodules.openaimodel.UNetModel', 'params': {'image_size': 32, 'in_channels': 4, 'out_channels...
│ └ <function instantiate_from_config at 0x00000110D1297820>
└ DiffusionWrapper()
File "C:\Users\jj\sygil-webui\ldm\util.py", line 89, in instantiate_from_config
return get_obj_from_str(config['target'])(
│ └ {'target': 'ldm.modules.diffusionmodules.openaimodel.UNetModel', 'params': {'image_size': 32, 'in_channels': 4, 'out_channels...
└ <function get_obj_from_str at 0x00000110D12978B0>
File "C:\Users\jj\sygil-webui\ldm\modules\diffusionmodules\openaimodel.py", line 568, in __init__
ResBlock(
└ <class 'ldm.modules.diffusionmodules.openaimodel.ResBlock'>
File "C:\Users\jj\sygil-webui\ldm\modules\diffusionmodules\openaimodel.py", line 222, in __init__
conv_nd(dims, channels, self.out_channels, 3, padding=1),
│ │ │ │ └ 1280
│ │ │ └ ResBlock()
│ │ └ 1280
│ └ 2
└ <function conv_nd at 0x00000110D267C8B0>
File "C:\Users\jj\sygil-webui\ldm\modules\diffusionmodules\util.py", line 267, in conv_nd
return nn.Conv2d(*args, **kwargs)
│ │ │ └ {'padding': 1}
│ │ └ (1280, 1280, 3)
│ └ <class 'torch.nn.modules.conv.Conv2d'>
└ <module 'torch.nn' from 'C:\\ProgramData\\miniconda3\\envs\\ldm\\lib\\site-packages\\torch\\nn\\__init__.py'>
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\torch\nn\modules\conv.py", line 450, in __init__
super(Conv2d, self).__init__(
│ └ <unprintable Conv2d object>
└ <class 'torch.nn.modules.conv.Conv2d'>
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\torch\nn\modules\conv.py", line 137, in __init__
self.weight = Parameter(torch.empty(
│ │ │ └ <built-in method empty of type object at 0x00007FFA4DAEE810>
│ │ └ <module 'torch' from 'C:\\ProgramData\\miniconda3\\envs\\ldm\\lib\\site-packages\\torch\\__init__.py'>
│ └ <class 'torch.nn.parameter.Parameter'>
└ <unprintable Conv2d object>
RuntimeError: [enforce fail at C:\cb\pytorch_1000000000000\work\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 58982400 bytes.
2023-02-04 23:42:18.874 Uncaught app exception
Traceback (most recent call last):
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 563, in _run_script
exec(code, module.__dict__)
File "C:\Users\jj\sygil-webui\scripts\webui_streamlit.py", line 203, in <module>
layout()
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\loguru\_logger.py", line 1226, in catch_wrapper
return function(*args, **kwargs)
File "C:\Users\jj\sygil-webui\scripts\webui_streamlit.py", line 136, in layout
layout()
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\loguru\_logger.py", line 1226, in catch_wrapper
return function(*args, **kwargs)
File "scripts\txt2img.py", line 669, in layout
load_models(use_LDSR=st.session_state["use_LDSR"], LDSR_model=st.session_state["LDSR_model"],
File "scripts\sd_utils\__init__.py", line 461, in load_models
config, device, model, modelCS, modelFS = load_sd_model(custom_model)
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\decorator.py", line 232, in fun
return caller(func, *(extras + args), **kw)
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\retry\api.py", line 73, in retry_decorator
return __retry_internal(partial(f, *args, **kwargs), exceptions, tries, delay, max_delay, backoff, jitter,
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\retry\api.py", line 33, in __retry_internal
return f()
File "scripts\sd_utils\__init__.py", line 1573, in load_sd_model
model = load_model_from_config(config, ckpt_path)
File "scripts\sd_utils\__init__.py", line 502, in load_model_from_config
model = instantiate_from_config(config.model, personalization_config='')
File "C:\Users\jj\sygil-webui\ldm\util.py", line 89, in instantiate_from_config
return get_obj_from_str(config['target'])(
File "C:\Users\jj\sygil-webui\ldm\models\diffusion\ddpm.py", line 646, in __init__
super().__init__(conditioning_key=conditioning_key, *args, **kwargs)
File "C:\Users\jj\sygil-webui\ldm\models\diffusion\ddpm.py", line 119, in __init__
self.model = DiffusionWrapper(unet_config, conditioning_key)
File "C:\Users\jj\sygil-webui\ldm\models\diffusion\ddpm.py", line 2217, in __init__
self.diffusion_model = instantiate_from_config(diff_model_config)
File "C:\Users\jj\sygil-webui\ldm\util.py", line 89, in instantiate_from_config
return get_obj_from_str(config['target'])(
File "C:\Users\jj\sygil-webui\ldm\modules\diffusionmodules\openaimodel.py", line 568, in __init__
ResBlock(
File "C:\Users\jj\sygil-webui\ldm\modules\diffusionmodules\openaimodel.py", line 222, in __init__
conv_nd(dims, channels, self.out_channels, 3, padding=1),
File "C:\Users\jj\sygil-webui\ldm\modules\diffusionmodules\util.py", line 267, in conv_nd
return nn.Conv2d(*args, **kwargs)
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\torch\nn\modules\conv.py", line 450, in __init__
super(Conv2d, self).__init__(
File "C:\ProgramData\miniconda3\envs\ldm\lib\site-packages\torch\nn\modules\conv.py", line 137, in __init__
self.weight = Parameter(torch.empty(
RuntimeError: [enforce fail at C:\cb\pytorch_1000000000000\work\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 58982400 bytes.
아무래도 VRAM 이 부족해서 PC local에서는 실행이 어려운 것으로 보고, google colab을 활용하는 방법도 모색해 보기로.
https://github.com/Excalibro1/fast-stable-diffusionwik/wiki/fast-stable-diffusion-wiki
파일 - 드라이브에 사본 저장
https://github.com/camenduru/stable-diffusion-webui-colab#-colab
https://colab.research.google.com/drive/1FTBJNrdYWh9v3_IeN7ZohneFrl8916rl
https://doooob.tistory.com/426
https://colab.research.google.com/github/altryne/sd-webui-colab/blob/main/Stable_Diffusion_WebUi_Altryne.ipynb
ipython notebook을 순서대로 실행하고 나면 아래가 마지막 세션이다.
여기에 적힌 대로 https://bffd0da6-9962-46d1.gradio.live/에 접속하면 web ui가 뜬다.\\
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