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本文地址：https://blog.csdn.net/caroline_wendy/article/details/131524075
版本v2.5.41
Stable Diffusion 图像生成工具是一种基于深度学习的技术，可以从随机噪声中生成高质量的图像，利用 Diffusion Probabilistic Models 的概率模型，逐步地将噪声转化为目标图像，同时保持图像的稳定性和多样性。Stable Diffusion 图像生成工具的优点是，不需要预先训练一个生成器网络，而是可以直接从数据分布中采样图像，也可以适应不同的图像域，例如人脸、动物、风景等。Stable Diffusion 图像生成工具是一种创新的图像合成技术，可以为各种应用场景提供高效和实用的解决方案。
安装网页：https://stable-diffusion-ui.github.io/docs/installation/
GitHub：https://github.com/AUTOMATIC1111/stable-diffusion-webui
在系统中，需要包含 conda 环境，不需要额外创建，在运行过程中，在文件夹中，就会创建默认的环境。
软件下载路径：
下载Easy-Diffusion-Linux 压缩包。 解压压缩包，cd easy-diffusion。 运行 bash start.sh。 ### Linux 1. [**Download** for Linux](https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.24/Easy-Diffusion-Linux.zip) 2. Extract: - Extract the file with your favourite file manager, or use `unzip Easy-Diffusion-Linux.zip` in a terminal. - After extracting the .zip file, please open a terminal, and go to the `easy-diffusion` directory. 3. Run: - In the terminal, run `./start.sh` (or `bash start.sh`) This will automatically install Easy Diffusion, set it up, and start the interface. No additional steps are needed. 执行 bash start.sh ，开始安装环境，遇到 Git 工程无法下载，手动下载即可。需要注意的点，如下：
git ssh 方式。 GitHub 模型无法下载，手动下载之后，放入相应的文件夹，即 easy-diffusion/models，具体参考源码。 遇到 Bug，则需要重新安装 Python 包，先激活 Conda 环境 conda activate easy-diffusion/installer_files/env ，再安装相应的 Python 包，即可。
conda activate stable_diffusion/easy-diffusion/installer_files/env pip install facexlib==0.3.0 tb-nightly==2.14.0a20230702 sdkit==1.0.112 xformers==0.0.20 -i https://mirrors.aliyun.com/pypi/simple 模型手动下载地址，参考 stable-diffusion-webui 源码：
# codeformer https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth # gfpgan, gfpgan_model.py https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth # realesrgan, realesrgan_model.py https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth # ESRGAN, esrgan_model.py https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth # midas, d_models.py # dpt_large https://github.com/intel-isl/DPT/releases/download/1_0/dpt_large-midas-2f21e586.pt # dpt_hybrid https://github.com/intel-isl/DPT/releases/download/1_0/dpt_hybrid-midas-501f0c75.pt # midas_v21 https://github.com/AlexeyAB/MiDaS/releases/download/midas_dpt/midas_v21-f6b98070.pt # midas_v21_small https://github.com/AlexeyAB/MiDaS/releases/download/midas_dpt/midas_v21_small-70d6b9c8.pt Bug1: 遇到 Bug “Failed to connect to github.com port 443: Connection timed out”
即：
fatal: unable to access 'https://github.com/cmdr2/stable-diffusion-ui.git/': Failed to connect to github.com port 443: Connection timed out EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE ERROR: git clone failed Error downloading Stable Diffusion UI. Sorry about that, please try to: 1. Run this installer again. 2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting 3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB 4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues Thanks! 位于：on_env_start.sh 脚本，进入 easy-diffusion/scripts 文件夹，手动下载 https://github.com/cmdr2/stable-diffusion-ui.git/，即可，推荐使用 git ssh 下载
git clone git@github.com:easydiffusion/easydiffusion.git Bug2: 遇到 Bug “No module named facexlib”
这个问题，在安装sdkit时，也会遇到，即：
Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [17 lines of output] Traceback (most recent call last): File "/tmp/pip-install-ftrx1th1/gfpgan_051d13278c764431bd5491fa888528ee/setup.py", line 48, in get_hash from facexlib.version import __version__ ModuleNotFoundError: No module named 'facexlib' ... 直接手动安装即可，即pip install facexlib==0.3.0
Bug3: 遇到 Bug “gfpgan 1.3.8 depends on tb-nightly”
切换安装源至 aliyun 即可：
pip install tb-nightly==2.14.0a20230702 -i https://mirrors.aliyun.com/pypi/simple Bug4：遇到 Bug “No module named sdkit”
这个是关键安装包，即
File "easy-diffusion/ui/easydiffusion/utils/save_utils.py", line 10, in <module> from sdkit.utils import save_dicts, save_images ModuleNotFoundError: No module named 'sdkit' 先安装facexlib和tb-nightly，再直接 pip install sdkit==1.0.112 ，即可。
Bug5: 遇到 Bug “No module ‘xformers’. Proceeding without it.”
即
No module 'xformers'. Proceeding without it. 切换安装源至 aliyun 即可：
pip install xformers==0.0.20 -i https://mirrors.aliyun.com/pypi/simple 运行成功，日志如下：
21:25:07.312 INFO cuda:1 Global seed set to 0 seed.py:65 Sampling: 0%| | 0/1 [00:00<?, ?it/s]21:25:07.484 INFO cuda:1 seeds used = [0] sampler_main.py:64 100%|████████████████████████████████████████████████████████| 25/25 [00:01<00:00, 22.85it/s] Sampling: 100%|████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.53s/it] 21:25:09.258 INFO cuda:1 Task completed renderer.py:73 21:25:09.507 INFO cuda:1 Session 1688389496479 task 139918897684288 task_manager.py:367 completed by NVIDIA A100-SXM4-80GB. 输出测试图像，如下：
参考：
知乎 - Anaconda-用conda创建python虚拟环境
How to fix “ModuleNotFoundError: No module named ‘facexlib’”
Bilibili - 新版stable-diffusion-webui安装的补充说明
CSDN - No module ‘xformers‘. Proceeding without it.
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