Instructions to use kyujinpy/Tune-A-VideKO-disney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kyujinpy/Tune-A-VideKO-disney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kyujinpy/Tune-A-VideKO-disney", 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
Download video1.gif from kyujinpy/Tune-A-VideKO-disney: direct link, hf CLI and curl.
- Browser
- Download file 2.25 MB
-
https://huggingface.co/kyujinpy/Tune-A-VideKO-disney/resolve/main/video1.gif
- Command line
-
hf download hf://kyujinpy/Tune-A-VideKO-disney/video1.gif
-
curl -L -o video1.gif https://huggingface.co/kyujinpy/Tune-A-VideKO-disney/resolve/main/video1.gif
2.25 MB

- Xet hash:
- 192414e56a9e0865eb6a80c7c11d8f60293d9273cf1b33728ff3a1bb279c53ae
- Size of remote file:
- 2.25 MB
- SHA256:
- 16ac4788104735b5b6cd1d4f7373f16df99f24aa225b157feff28c57a28fd054
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