MacOS Support

[yuriten]

Steps to Reproduce

1. clone the repo
2. copy model.ckpt to models
3. cd ./AUTOMATIC1111
4. docker compose up --build

There are no problems with the previous steps, but the last error is reported:

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them
[+] Running 2/2
 ⠿ Network automatic1111_default    Created                                                                                                 0.0s
 ⠿ Container automatic1111-model-1  Created                                                                                                 0.1s
Attaching to automatic1111-model-1
Error response from daemon: could not select device driver "nvidia" with capabilities: [[gpu]]

Hardware / Software:

• MacOS 12.5 M1 Pro chip
• GPU: No GPU

What do I need to do to fix this?

[AbdBarho]

@yuriten Mac Support is a big subject. I know that lstein fork has mac support, but I cannot integrate it because I don't have a mac.

If you or anyone would like to contribute and implement it I will gladly add it to the repo.

related #31

[jasalt]

There's also SD in app format for Mac (Apple Silicon) now: https://github.com/divamgupta/diffusionbee-stable-diffusion-ui. Probably easiest way to get SD running there while the Docker ARM support is lagging behind.

[AdamGoyer]

gm,
Checking in briefly. Has any progress been made on Apple M1 Silicon since Sept 2022?

[jasalt]

@AdamGoyer Running the AUTOMATIC1111 UI without Docker following the wiki docs has been easiest and most feature rich way to run SD Web UI on M1 Mac from what I have tried out. Works quite fine with 16GB ram model at least. It uses Python machine learning packages customized for Mac hardware.

GPU passthrough for (Docker) VM is not available there and might take a while to happen.

[AdamGoyer]

[jasalt]

@AdamGoyer Haha, nice. It would be cool for sure but I wonder if it's even possible without Docker adding GPU passthrough like WSL2 which only Parallels and virgl seem to be able to do in some extent (ref https://apple.stackexchange.com/a/453103/29042). Or maybe use some tricks to use the PyTorch etc. from Mac side..