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", torch_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:
- cda95692ad50d595eb9c0c88585c518166896420c9d056a1157cc2c6ce99a4bf
- Size of remote file:
- 246 MB
- SHA256:
- 4cf4ccf333ae6085dc6939d1128de64b6656c2ca7584cb8fffafdf74c7d94460
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