Instructions to use fal/Wan2.1-FLF2V-14B-720P-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Wan2.1-FLF2V-14B-720P-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/Wan2.1-FLF2V-14B-720P-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:
- 855f89ad379afcea578792a2f9989ad77c8baf1961136338b006a1958c2c8876
- Size of remote file:
- 4.77 GB
- SHA256:
- 2cab86b5550a2e1ecb2e93d16b17c8d38aea93deaf7b6f96a77ad8f33544a952
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