Instructions to use FastVideo/LongCat-Video-T2V-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/LongCat-Video-T2V-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-T2V-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:
- 096a45e839a9499691e7b9a9759adfc3e8b19c942563f4831620d18ceab7ade0
- Size of remote file:
- 6.23 GB
- SHA256:
- 80627b947f8587fd383e1f0b9146a8a07e4ee2b0a6db42abb8d44bf6c21312b7
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