Instructions to use nitrosocke/classic-anim-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/classic-anim-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/classic-anim-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add a model_index.json
#7
by bryanhpchiang - opened
+1 getting the same issue working with it both locally and via HuggingFace access tokens.
The errors are related to the diffusers not being uploaded yet.
I look into it.
Here a PR: https://huggingface.co/nitrosocke/classic-anim-diffusion/discussions/8 :-)
The newly added euler scheduler seems to work pretty well with the model!
Great model @nitrosocke !
Thank you for the PR @patrickvonplaten , I just merged it.
looking forward to try it in the gradio demo!
