1-Step UNet quality?!
Is this the intended result quality?
I am using the sample code from the card.
As said in the doc, one step is experimental. It has a higher probability generating bad shapes. Some seeds and prompts perform better, but you should stick to 2+ steps for stable results. And use UNet instead of LoRA unless you are using other base models for the best result :)
Prompt outputs failed validation
UNETLoader:
- Value not in list: unet_name: 'sdxl_lightning_1step_unet_x0.pth' not in ['sdxl_lightning_1step_unet_x0.safetensors', 'sdxl_lightning_8step_unet.safetensors']
ModelSamplingDiscrete: - Value not in list: sampling: 'x0' not in ['eps', 'v_prediction', 'lcm']
- The workflow got updated. Redownload your workflow
- You didn't download the correct checkpoint
- You are not using the latest comfyui
@PeterL1n i use the unet and the model for 1 step , worflow for 1 step and eps
There was an update recently today in ComfyUI that adds "x0" which is needed in order to not get that terrible random noise output.
I haven't checked if the uploader updated the workflow, but here is mine embedded in this image:
and this is what mine looks like: (below image doesn't include workflow)
Also be sure you are using an SDXL VAE
Try
https://huggingface.co/stabilityai/sdxl-vae/blob/main/sdxl_vae.safetensors
Or this FP16 version:
https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl.vae.safetensors
YEP now work
try a FACE