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
Update README.md
Browse files
README.md
CHANGED
|
@@ -190,10 +190,10 @@ If you find our work helpful, please cite us.
|
|
| 190 |
|
| 191 |
```bibtex
|
| 192 |
@article{gu2026anyflow,
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
|
| 196 |
-
|
| 197 |
}
|
| 198 |
|
| 199 |
@article{gu2025long,
|
|
|
|
| 190 |
|
| 191 |
```bibtex
|
| 192 |
@article{gu2026anyflow,
|
| 193 |
+
title={AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation},
|
| 194 |
+
author={Gu, Yuchao and Fang, Guian and Jiang, Yuxin and Mao, Weijia and Han, Song and Cai, Han and Shou, Mike Zheng},
|
| 195 |
+
journal={arXiv preprint arXiv:2605.13724},
|
| 196 |
+
year={2026}
|
| 197 |
}
|
| 198 |
|
| 199 |
@article{gu2025long,
|