Instructions to use Tune-A-Video-library/redshift-man-skiing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tune-A-Video-library/redshift-man-skiing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tune-A-Video-library/redshift-man-skiing", 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:
- 934127bf22216573979e0ae8ebeb9fc5c7a75e38012ff7b3ab641cb97e58d309
- Size of remote file:
- 4.37 MB
- SHA256:
- f529232786b685ac16c3bc67a456e180f44a093fdaeb6fbbe76fabcb4ae2a437
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