momo
momo
Great thanks! I noticed this functionality still isn't supported for SDXL ControlNets, specifically diffusers.StableDiffusionXLControlNet pipeline, and I was wondering if you will be adding this functionality for this pipeline? Thanks!
PR: https://github.com/huggingface/diffusers/pull/7913
does this work for SDXL and SDXL ControlNet pipelines?
could you share a code snippet of hires fix with sdxl? i couldn't get it working
thanks! just tested it out with a few different set of params but couldn't get any significant results
you can't train sdxl with that script i thought
yeah that makes sense. i still think it would be a good opportunity for those that do have the available resources for a full model finetune which is why i...
i don't use comfyui so can't quite compare with your results, i generated these images from demo_st_fill.py
is this how they did it in the SD3 paper? i.e assigning prompts >= 77 tokens to the T5 encoder only and truncating it for clip encoders?
@asomoza gotcha. could you provide a quick code snippet for using the shorter/robust prompt for clip encoders and the longer prompt for just the T5 for sd3 inference? would be...