[whitehexagon]

I'm running Asahi Linux on a 32GB M1 Pro. Any chance of being able to run text-to-image models locally? I've had some success with LLMs, but only the smaller models. No idea where to start with images, everything seems geared towards msft+nvda.

[loxias]

Try https://github.com/leejet/stable-diffusion.cpp

[LeoPanthera]

"Draw Things" is a native Mac app for text to image. It's a a lot more advanced than DiffusionBee, it will download the models for you, and it's free. It's also available for iOS. (!)

[smcleod]

Draw things is neat but it's so damn slow compared to other tools (e.g. invokeai), I'm not sure why it takes so long to generate images with any model?

[liuliu]

On the same Mac hardware, Draw Things should be the fastest on models such as SDXL / FLUX.1 against other tools based on PyTorch (I stopped benchmarking SD v1.5 results for a while so that might regress a little bit here or there).

[LeoPanthera]

It's not any slower than invokeai for me. Maybe check the settings, and try using the GPU instead of CoreML.

[collinvandyck76]

DiffusionBee will let you do this quite easily.

edit: nevermind, it's a macos app

[lagniappe]

Is DiffusionBee still in development? I had stopped using it because it seemed like the dev interest had stalled.

[collinvandyck76]

It gets periodic releases, but the source isn't typically updated at the same time.