Closed
Description
Inference might not work with 8 Gb: #2 (but: #14)
Textual inversion training requires > 21-22 Gb source source 2
Dreambooth training requires >= 32 Gb source
edit. but training prior/unclip separately fits into 16 Gb VRAM #74
Integrating K2 into diffusers might open up opportunities for optimization huggingface/diffusers#2985
- Add options for enabling diffusers optimizations (https://huggingface.co/docs/diffusers/optimization/opt_overview, https://huggingface.co/docs/diffusers/main/en/api/pipelines/kandinsky#optimization)
- Measure and document the impact of individual options on performance and memory consumption