Frequently Asked Questions
Quality
-
My results look bad or don’t look as good as AUTOMATIC1111, why?
-
Resolution: make sure you explicitly set the correct resolution for your model, e.g. 512x512 for original SD models and SDv2+ “base” models, and 768x768 for SDv2+ models, etc.
-
Prompt length and weights: for long prompts (more than 77 tokens) and prompts with weights like
(((big eyes)))
,(blue hair:1.2)
, etc, it will be ignored by the built-in StableDiffusion pipelines; instead use Lpw_stable_diffusion pipeline (longer prompts, prompt weights!). -
Use the same seed when comparing to AUTOMATIC1111 or others, and for reporting bugs / questions.
-
Check the scheduler (“sampler”) and
num_inference_steps
. Certain schedulers may work much better or worse on certain models.
-
General
-
What models does it run?
- All models supported by the huggingface/diffusers library
- All checkpoints that can be converted to diffusers format
(downloaded & converted at build time if you setCHECKPOINT_URL
)