Instructions to use mrfatso/anima-preview3-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrfatso/anima-preview3-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrfatso/anima-preview3-diffusers", 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
- Xet hash:
- 88b1f632cfef6e753f49b7cc3483600da719367efd375d1b66dd58d5794e7a79
- Size of remote file:
- 269 MB
- SHA256:
- a013e45b20e96c1953496e41cd1fe209a8ec1366da3699c4ff3605b50b9e893f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.