3 ms·
This is a pet peeve of mine, but A1111 is not a great example of a ML project. The backend codebase is a mess compared to diffusers, its slow even on Nvidia, it
by brucethemoose2 3y ago
This is a pet peeve of mine, but A1111 is not a great example of a ML project. The backend codebase is a mess compared to diffusers, its slow even on Nvidia, its history is filled with controversy (including license breaking and outright piracy in the codebase), the frontend is buggy and unstable. I appreciate how it was a pioneer in 2022-H1 2023, but I am somewhat annoyed its still the de facto SD backend.
Better maintained inference projects are picking up considerable AMD/Intel support. Sometimes even Apple Silicon support.
- Der_Einzige 3y agoThe only real competitor is ComfyUI, because without the huge ecosystem around your other front end, you lose MASSIVE capabilities, for example, losing this is a big mistake: https://github.com/ljleb/prompt-fusion-extension https://github.com/ljleb/prompt-fusion-extension
- jadbox 3y agoIs there something like that extension for comfy yet?
- pseudo0 3y agoAt least on Nvidia, A1111 has had near identical performance to ComfyUI on SDXL and SD1.5 for me. Besides that, there were typical minor problems that happen when some guy's hobby project goes viral and suddenly is under massive scrutiny. It was the first "good enough" interface and now there is massive community inertia with extensions, plugins, etc. ComfyUI has found a place in the image pipeline design niche, but A1111 still seems like the best choice for new users who just want to spin up Stable Diffusion and generate some art for a D&D campaign or whatever.
- brucethemoose2 3y agoThats because ComfyUI is also based on the old SAI backend, not diffusers like, say, VoltaML.