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Refactor to automatic installation instructions

Dylan Cathelijn 2022-09-24 14:47:11 +02:00
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Installation-on-Apple-Silicon.md

@ -1,46 +1,24 @@
**IMPORTANT** While the web UI runs fine, there are still certain issues when running this fork on Apple Silicon.
## Important note
While the web UI runs fine, there are still certain issues when running this fork on Apple Silicon.
The only 2 samplers that work (at the time of writing this) are `Euler` and `DPM2` - all others result in a black screen.
Upscaling works, but only using the real-ESRGAN models.
First get the weights checkpoint download started - it's big:
## Automatic installation
Sign up at https://huggingface.co
Go to the Stable diffusion diffusion model page
Accept the terms and click Access Repository:
Download sd-v1-4.ckpt (4.27 GB) and note where you have saved it (probably the Downloads folder)
This script assumes you've installed the same dependencies as the other scripts (python, git, ...) - these can all be installed using [Homebrew](https://brew.sh/).
The script can be downloaded from [here](https://github.com/dylancl/stable-diffusion-webui-mps/blob/master/setup_mac.sh), or follow the instructions below.
1. Open Terminal.app
2. Run the following command:
1. `brew install cmake protobuf rust`
2. `curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o Miniconda3-latest-MacOSX-arm64.sh`
3. `/bin/bash Miniconda3-latest-MacOSX-arm64.sh`
4. `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui`
5. `cd stable-diffusion-webui`
6. Run the following commands one by one:
```
git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion
git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers
git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer
git clone https://github.com/salesforce/BLIP.git repositories/BLIP
bash <(curl -s https://github.com/dylancl/stable-diffusion-webui-mps/blob/master/setup_mac.sh)
```
3. Follow the instructions in the terminal window.
7. `conda create --name web_ui python=3.10`
8. `conda activate web_ui`
9. `pip install -r requirements.txt`
10. `conda install pytorch torchvision torchaudio -c pytorch-nightly`
11. At this point, move the downloaded `sd-v1-4.ckpt` file into `stable-diffusion-webui/models/`. You will know it's the right folder since there's a text file named `Put Stable Diffusion checkpoints here.txt` in it.
12. `conda env config vars set PYTORCH_ENABLE_MPS_FALLBACK=1`
13. `python webui.py --precision full --no-half --opt-split-attention-v1`
#### Usage
It is possible that after running `webui.py` you get error messages saying certain packages are missing. Install the missing package, go back to step 13 and repeat.
#### Common Errors
##### Error
`ImportError: dlopen(.venv/lib/python3.10/site-packages/google/protobuf/pyext/_message.cpython-310-darwin.so, 0x0002): symbol not found in flat namespace (__ZN6google8protobuf15FieldDescriptor12TypeOnceInitEPKS1_)`
##### Solution
Downgrade Protobuf using `pip install protobuf==3.19.4`
After installation, you'll now find `run_webui_mac.sh` in the `stable-diffusion-webui` directory. Run this script to start the web UI using `./run_webui_mac.sh`.
This script automatically activates the conda environment, pulls the latest changes from the repository, and starts the web UI. On exit, the conda environment is deactivated.