月份: 2024 年 5 月

『Stable Diffusion』與GitHub倉庫同步更新.

1. 係『C:\stable-diffusion-webui』新建『update.bat』.
2. 文本編輯『update.bat』
3. 填寫『git pull』
4. 執行『update.bat』

 

當睇到下面信息『Stable Diffusion』已装掂,但係缺『基礎模型』.

No checkpoints found. When searching for checkpoints, looked at:

– file C:\stable-diffusion-webui\model.ckpt

– directory C:\stable-diffusion-webui\models\Stable-diffusion

Can’t run without a checkpoint. Find and place a .ckpt file into any of those locations. The program will exit.

先去『civitai.com』下載模型

https://civitai.com/

https://huggingface.co/

係『Stable Diffusion』左上角揀基礎模型.擴展名『.safetensors』『.ckpt』, 大細係6GB~4GB之間. 『基礎模型』吾可叠加.

『基礎模型』擺係指定檔案夾.

Model模型	檔案夾位置
Checkpoint『.ckpt』	C:\stable-diffusion-webui\models\Stable-diffusion
.safetensors	C:\stable-diffusion-webui\models\Stable-diffusion

『基礎模型』添加封面,圖檔名與模型名壹致,同『基礎模型』模型擺係壹起,之後撳『refresh page』刷新.

基礎模型	model.safetensors
封面圖	model.png

 

『Stable Diffusion』開源AI划畫畵程式. 輕易係網络下載,部署係電腦行.

https://github.com/AUTOMATIC1111/stable-diffusion-webui

『提示詞』畀『Clip』解讀, 『Diffusion』逐步生成圖像.

『提示詞』->『Clip』->『Diffusion』->『VAE』->『畵』

 

硬件要求

1. NVIDIA RTX孖2080Ti-組NVLink.
2. 固態磁碟吾細於20gb

 

部署運行環境.

1. 『Python下載安装, 必需裝『Python 3.10.6』
2. 『git下載安装』
3. 『PyTorch下載安裝』
4. 『gfpgan』
5. 『Clip』
6. 『open_clip』
7. 『httpx』
8. 『transformers』模型分詞器.
9. 『torchmetrics』
10. 『open-clip-torch』
11. 『v1-5-pruned-emaonly.safetensors』
12. 『Stable Diffusion模型下載』

 

部署Stable Diffusion

1. 撳『Win+r』填cmd
2. 碟符『c:』撳『enter』
3. 撳『.』入『c:』碟根
4. 『GIT』克隆『Stable Diffusion』, 填下面克隆碼.

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui

5. 等待克隆结束, 出現100%-done
6. 吾对下載『stable-diffusion-webui-1.0.0-pre.zip』版本過舊.
7. 复制『exe』路徑,『Stable Diffusion』自動复制python. 非『Python 3.10.6』唔匹配.

“C:\Program Files\Python310\python.exe”

8. 以記事本编輯『C:\stable-diffusion-webui\webui-user.bat』
9. 编輯『webui-user.bat』

@echo off

set PYTHON=”C:\Program Files\Python310\python.exe”

set GIT=

set VENV_DIR=

set COMMANDLINE_ARGS=–xformers

call webui.bat

10. 刪『C:\stable-diffusion-webui\venv』資料夾.
11. 執行『C:\stable-diffusion-webui\webui-user.bat』.
12. 非『Python 3.10.6』唔匹配.

ERROR:Could not find a version that satisfies the requirement torch

ERROR:NO matching distribution found for torch

13. 檢查最新版pip時出錯.

WARNING:There was an error checking the latest version of pip.

14. 手動升級pip至最新版.

python -m pip install –upgrade pip

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install –upgrade pip

15. PyTorch未稳到gpu

RuntimeError: Torch is not able to use GPU; add –skip-torch-cude-test to COMMANDLINE_ARGS variable to disable this check

16. 跳過gpu檢測, 編輯『webui-user.bat』.

set COMMANDLINE_ARGS=–xformers –skip-torch-cuda-test

17. 未有裝gfpgan

RuntimeError: Couldn’t install gfpgan.

18. 未有裝Clip

RuntimeError: Couldn’t install clip.

19. 未有裝open_clip

RuntimeError: Couldn’t install open_clip.

20. 未有裝『transformers』模型分詞器.

OSError: Can’t load tokenizer for ‘openai/clip-vit-large-patch14’. If you were trying to load it from ‘https://huggingface.co/models’, make sure you don’t have a local directory with the same name. Otherwise, make sure ‘openai/clip-vit-large-patch14’ is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

21. 未有裝httpx

TypeError: AsyncConnectionPool.__init__() got an unexpected keyword argument ‘socket_options’

22. 未有裝torchmetrics

ImportError: cannot import name ‘_compare_version’ from ‘torchmetrics.utilities.imports’ (C:\stable-diffusion-webui\venv\lib\site-packages\torchmetrics\utilities\imports.py)

23. 『Stable Diffusion』冇自带模型.需自行下載.

Downloading: “https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors” to C:\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors

24. 若中斷可刪『venv』重构

C:\stable-diffusion-webui\venv

25. 當妳睇到『http://127.0.0.1:7860』網頁,証明掂左, 『Stable Diffusion』奉行『輵』『殼』分离哲學. 『http://127.0.0.1:7860』係『殼』, 『殼』崩潰吾會會影影響『輵』.

Running on local URL:  http://127.0.0.1:7860

 

 

安裝『Stable Diffusion』時未有安裝『open-clip-torch』

changing setting sd_model_checkpoint to v1-5-pruned-emaonly.safetensors [6ce0161689]: AttributeError Traceback (most recent call last):

AttributeError: ‘NoneType’ object has no attribute ‘lowvram’

1. 進入『命令行模式CMD』
2. 執行下列安裝指令

pip install open-clip-torch==2.20.0

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install open-clip-torch==2.20.0

 

『Stable Diffusion』冇自带模型,需自行下載,當妳睇到下面信息,下載『v1-5-pruned-emaonly.safetensors』, 之后擺係『C:\stable-diffusion-webui\models\Stable-diffusion\』資料夾.

Downloading: “https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors” to C:\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors

 

https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors	Sour
C:\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors	dest

 

當妳『Stable Diffusion』睇到下面信息,未有裝『transformers』模型分詞器.或版本舊.

OSError: Can’t load tokenizer for ‘openai/clip-vit-large-patch14’. If you were trying to load it from ‘https://huggingface.co/models’, make sure you don’t have a local directory with the same name. Otherwise, make sure ‘openai/clip-vit-large-patch14’ is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.

1. 進入『命令行模式CMD』
2. 裝『transformers』模型分詞器.

pip install transformers

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install transformers

3. 更新『transformers』 模型分詞器

pip install –upgrade transformers

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install –upgrade transformers

 

 

安裝『Stable Diffusion』時未有裝『torchmetrics』.

ImportError: cannot import name ‘_compare_version’ from ‘torchmetrics.utilities.imports’ (C:\stable-diffusion-webui\venv\lib\site-packages\torchmetrics\utilities\imports.py)

進入『命令行模式CMD』

查版本號

pip show torchmetrics

缷載

pip uninstall torchmetrics

下載0.11.4版本

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install torchmetrics==0.11.4

 

安裝『Stable Diffusion』時報錯

TypeError: AsyncConnectionPool.__init__() got an unexpected keyword argument ‘socket_options’

1. 進入『命令行模式CMD』
2. 執行下列安裝指令

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install httpx==0.24.1 -force-reinstall

python.exe -m pip install httpx==0.24.1 -force-reinstall

 

 

 

『clip』建构圖像文字之間連系模型,安裝『Stable Diffusion』時未有安裝『clip』.

RuntimeError: Couldn’t install clip.

進入『clip』

https://github.com/openai/clip/

下載『clip』落『C:』碟

git clone https://github.com/openai/CLIP.git

或者下載『CLIP-main.zip』後解壓

https://codeload.github.com/openai/CLIP/zip/refs/heads/main

复制『C:\CLIP』到『C:\stable-diffusion-webui\venv\Scripts』

C:\CLIP	Sour
C:\stable-diffusion-webui\venv\Scripts	dest

進入『命令行模式CMD』

CD去『CLIP』檔䅁夾, 作為本地路徑

cd C:\stable-diffusion-webui\venv\Scripts\CLIP

执行下列安裝指令

C:\stable-diffusion-webui\venv\Scripts\python.exe setup.py build install

 

安裝『Stable Diffusion』時未有安裝『gfpgan』人樣修复.

RuntimeError: Couldn’t install gfpgan.

進入『GFPGAN』

https://github.com/TencentARC/GFPGAN

下載『GFPGAN』落『C:』碟

git clone https://github.com/TencentARC/GFPGAN.git

复制『C:\GFPGAN』到『C:\stable-diffusion-webui\venv\Scripts』

C:\GFPGAN	Sour
C:\stable-diffusion-webui\venv\Scripts	dest

進入『命令行模式CMD』

CD去『GFPGAN』檔䅁夾, 作為本地路徑

cd C:\stable-diffusion-webui\venv\Scripts\GFPGAN

执行下列安裝指令

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install basicsr

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install facexlib

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install -r requirements.txt

C:\stable-diffusion-webui\venv\Scripts\python.exe setup.py develop

C:\stable-diffusion-webui\venv\Scripts\python.exe -m pip install realesrgan

 

『Torch』基於神經網络人工智慧輵, 『PyTorch』係『Python』版本

首先确認NVIDIA顯卡支持CUDA版本. 下載最新顯卡驅動『552.22-desktop-win10-win11-64bit-international-nsd-dch-whql.exe』

 

網络安装『PyTorch』

1. 進『命令行模式CMD』

pip3 install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cu121

 

本地安装『PyTorch』

2. 進『命令行模式CMD』
3. 行『NVIDIA-SMI.exe』
4. 确認『torch版』+『cuda版』+『python版』+『win/linux版』
5. 部機『torch-2.3.0』+『cuda-12.4』+『python-3.10.6』+ 『Win-x64』
6. 版本配對『cp=python』,『cu<=cuda』

https://download.pytorch.org/whl/torch/

7. 直接将『.whl』下載落蒞直接本地安裝『torch-2.3.0+cu121-cp310-cp310-win_amd64.whl』

https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp310-cp310-win_amd64.whl#sha256=002027d18a9c054f08fe9cf7a729e041229e783e065a71349015dcccc9a7137e

8. 將『.whl』摆係『D:』碟.
9. 『管現員身份進入命令行模式cmd』
10. 『pip install whl “d:\torch-2.3.0+cu121-cp310-cp310-win_amd64.whl”』
11. 檢查最新版pip時出錯.

WARNING:There was an error checking the latest version of pip.

12. 『管現員身份進入命令行模式cmd』

Defaulting to user installation because normal site-packages is not writeable

13. 手動升級pip至最新版. 以管理員身份𢴇行.

python -m pip install –upgrade pip

測試『Pytorch』返回true,表示可調用GPU-CUDA指令, 進入『Pytho3.10』.

import torch

print(torch.__version__)

torch.cuda.is_available()

 

缷載tcrch

Pip uninstall torch

Pip uninstall torchaudio torchvision

Pip uninstall torch-geometric torch-scatter torch-sparse torch-cluster torch-spline-conv

 

https://pytorch.org/get-started/locally/

https://pytorch.org/get-started/previous-versions/