Instructions to use FastVideo/LongCat-Video-VC-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/LongCat-Video-VC-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("FastVideo/LongCat-Video-VC-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:
- 70e774754666f89f28aefa9404296bc718f2e9c6e395112dfbe6b741b608e072
- Size of remote file:
- 2.52 GB
- SHA256:
- 90b06f28baf020dc8061a0c7100c067905856f2a9117dbb8b5baf01b2c69c68f
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