Closed xiaoleexiang closed 3 months ago
+1. It would be interesting to see how a DMD2 LoRA would fare against Hyper-SD or Lightning. Not to mention, a LoRA would allow Automatic WebUI users to try this tech!
we just released one. you can find the usage at https://huggingface.co/tianweiy/DMD2
First time using LORA for me so could you try and let me know if the format is correct?
Thanks
Will test later on today too applying it to a fine-tune of sdxl and report back.
I tried it with some finetuned models. It still seems to work the best with the original sdxl one :( . Probably there are some lora parameters that I haven't done right. I also noticed that we might need to use a smaller lora_scale during inference for the finetuned model to have less artifacts.
pipe.fuse_lora(lora_scale=0.75)
left is original sdxl + lora, right is Juggernaut-X-v10+lora
lora_scale 0.5 seems to be working ok for me with the 4step lora and this model:
https://civitai.com/models/413466/boltning-realistic-lightning-hyper
it's currently powering the image generation on http://pollinations.ai
Could a Lora containing the difference between Base XL and This SDXL (4-steps) Checkpoint successfully transfer the 4-steps inference capability to any of the finetunes of Base SD-XL?