Commit History
-
Add `clip_sample=False` to scheduler to make model compatible with DDIM.
Hey Aybeeceedee 👋, Your model repository seems to contain a stable diffusion checkpoint. We have noticed that your scheduler config currently does not correctly work with the [DDIMScheduler](https://huggingface.co/docs/diffusers/main/en/api/schedulers#diffusers.DDIMScheduler) because `clip_sample` is not set to False and will therefore [incorrectly default to True](https://github.com/huggingface/diffusers/blob/3ce6380d3a2ec5c3e3f4f48889d380d657b151bc/src/diffusers/schedulers/scheduling_ddim.py#L127). The official stable diffusion checkpoints have `clip_sample=False` so that the scheduler config works will **all** schedulers, see: https://huggingface.co/stabilityai/stable-diffusion-2-1-base/blob/main/scheduler/scheduler_config.json#L7. We strongly recommend that you merge this PR to make sure your model works correctly with DDIM. Diffusingly, Patrick.fdb9b5c
-
Update README.md
cf9efc3 -
Update README.md
f249d3c -
Update README.md
e4340e8 -
Upload concept_images with huggingface_hub
ba6aa2e -
Upload model_index.json with huggingface_hub
8bdd097 -
Upload vae with huggingface_hub
b481a4a -
Upload unet with huggingface_hub
1c68fd9 -
Upload tokenizer with huggingface_hub
8819dc1 -
Upload text_encoder with huggingface_hub
90d47b5 -
Upload scheduler with huggingface_hub
ef2538e -
Upload safety_checker with huggingface_hub
0f3b5dc -
Upload feature_extractor with huggingface_hub
6377136 -
Upload the concept knollingcase embeds and token
31ffb01 -
initial commit
1e58249