Text-to-Video
Diffusers
Safetensors
English
FARWanAnyFlowPipeline
Any-Step
Text-to-Video
Image-to-Video
Video-to-Video
Instructions to use nvidia/AnyFlow-FAR-Wan2.1-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/AnyFlow-FAR-Wan2.1-14B-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-Wan2.1-14B-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:
- f75792e486a13fc06c2e33b45df2946a07e5cab849d50d0ab9295eecbd5d8dc3
- Size of remote file:
- 2.59 MB
- SHA256:
- 6bd86471a0f4b617a7bf0fb65d425a17308e3ebd3d90316e299aa472f2a5c4ec
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