autumnmotor

Hi. I don't know why you decided that mac binary doesn't work, but it worked on my M1Mac (OS Ventura). At first, nothing happened when I double-clicked amotile-studio-macos on the...

https://github.com/apple/ml-stable-diffusion I've tried running and inspecting the sample from the repository above (still investigating), It looks like the coreml format does not reduce image generation time. Rather than coreml, the...

MacStudio(M1ultra, 128GB RAM, 48cores GPU), macOS Ventura(13.1beta), xcode14.1 imagesize:512x512 , steps:20(21 in coreml_python), model:CompVis/stable-diffusion-v1-4 (not include model load time) **WebUI**:2.61it/s (use MPS) **coreml(Python)**:2.64it/s (use cpu,gpu,ane) **coreml(Swift)**:2.23it/s (use cpu,gpu,ane) There doesn't...

@NightMachinery Hmmm... I think that the higher the unit of "it/s" (iterate per second), the better the performance... Also check the total processing time on the left.(not include model load)...

macOS13.1beta1 -> beta4 WebUI(use MPS):2.61it/s -> 2.66it/s coreml(Python,use cpu,gpu,ane):2.64it/s -> 2.65it/s coreml(Swift,use cpu,gpu,ane):2.23it/s -> 2.23it/s I still need to look into it more carefully, but I think the current conclusion...