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:
- 6e5574773949ab11d90e9e38fe9fce0e7d3115247147150c220d3e52fd6e3455
- Size of remote file:
- 3.64 GB
- SHA256:
- 9d988e4b7dc0d522cd892b91b89d892291186f430385249f36e2dae47f1b7424
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