1-Step UNet quality?!
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
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
try a FACE




