Text-to-Video
Diffusers
Safetensors
English
FARWanAnyFlowPipeline
Any-Step
Text-to-Video
Image-to-Video
Video-to-Video
Instructions to use nvidia/AnyFlow-FAR-Wan2.1-1.3B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/AnyFlow-FAR-Wan2.1-1.3B-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("nvidia/AnyFlow-FAR-Wan2.1-1.3B-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:
- 615f1d7c8f5b4aaeaeab55c7f57fd244c68ff60a2e52c6db72fbaf03ab02340f
- Size of remote file:
- 2.84 GB
- SHA256:
- cb52e9899ac7ec0cbe4687594b950600aa58f2f72588c8d16bcb5f8035a90f75
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