Instructions to use fal/LongCat-Video-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/LongCat-Video-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/LongCat-Video-FlashPack", 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:
- e7924c985307f142ad332b29642359ed9250859466799992e6001fa57bc4c63d
- Size of remote file:
- 27.2 GB
- SHA256:
- 8e3006bb25a5775bad1cae04e16f115ee833b8472f8b166d0ce6d64ca3c3e66c
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