AIGC - Easy Diffusion (Stable Diffusion) 图像生成工具的环境配置

news2024/12/23 10:20:14

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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：

因国内网速问题，部分包无法安装，需要手动安装，参考Bug 2~5。
GitHub 工程无法下载，也需要手动下载，建议使用 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.