【StableDiffusion】在MAC上的官方安装教程与个人实践验证_stable diffusion下载 mac版

官方安装地址

https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon

个人安装步骤

1、安装 Homebrew

官网：https://brew.sh/zh-cn/
命令：/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

2、安装环境

打开终端：brew install cmake protobuf rust python@3.10 git wget

建议 分开安装，一一验证

brew install cmake 
brew install protobuf 
brew install rust 
brew install python@3.10 
brew install git
brew install wget
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cmake: `cmake --version`
protobuf: `protoc --version`
rust:` rustc --version`
python@3.10:` python3.10 --version`
git:` git --version`
wget: `wget --version`
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3、下载工程

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
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4、下载模型

本人使用的是稳定扩散 2.1 ( v2-1_768-ema-pruned.ckpt )
模型文件：
https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.ckpt

配置文件：
https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml

下载完成后，放到stable-diffusion-webui/models/Stable-diffusion文件下，两个文件的前缀名称一致

5、启动

./webui.sh
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问题记录

1、NansException: A tensor with all NaNs was produced in Unet

打开解决方法链接https://szlsay.blog.csdn.net/article/details/133777539

官方英文教程

Mac users: Please provide feedback on if these instructions do or don’t work for you, and if anything is unclear or you are otherwise still having problems with your install that are not currently mentioned here.

Important notes

Currently most functionality in the web UI works correctly on macOS, with the most notable exceptions being CLIP interrogator and training. Although training does seem to work, it is incredibly slow and consumes an excessive amount of memory. CLIP interrogator can be used but it doesn’t work correctly with the GPU acceleration macOS uses so the default configuration will run it entirely via CPU (which is slow).

Most samplers are known to work with the only exception being the PLMS sampler when using the Stable Diffusion 2.0 model. Generated images with GPU acceleration on macOS should usually match or almost match generated images on CPU with the same settings and seed.

Automatic installation

New install:

1. If Homebrew is not installed, follow the instructions at https://brew.sh to install it. Keep the terminal window open and follow the instructions under “Next steps” to add Homebrew to your PATH.
2. Open a new terminal window and run brew install cmake protobuf rust python@3.10 git wget
3. Clone the web UI repository by running git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
4. Place Stable Diffusion models/checkpoints you want to use into stable-diffusion-webui/models/Stable-diffusion. If you don’t have any, see Downloading Stable Diffusion Models below.
5. cd stable-diffusion-webui and then ./webui.sh to run the web UI. A Python virtual environment will be created and activated using venv and any remaining missing dependencies will be automatically downloaded and installed.
6. To relaunch the web UI process later, run ./webui.sh again. Note that it doesn’t auto update the web UI; to update, run git pull before running ./webui.sh.

Existing Install:

If you have an existing install of web UI that was created with setup_mac.sh, delete the run_webui_mac.sh file and repositories folder from your stable-diffusion-webui folder. Then run git pull to update web UI and then ./webui.sh to run it.