Instructions to use FastVideo/FastWan2.1-T2V-1.3B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastWan2.1-T2V-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("FastVideo/FastWan2.1-T2V-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
Download assets/t2v_res.jpg from FastVideo/FastWan2.1-T2V-1.3B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 301 kB
-
https://huggingface.co/FastVideo/FastWan2.1-T2V-1.3B-Diffusers/resolve/main/assets/t2v_res.jpg
- Command line
-
hf download hf://FastVideo/FastWan2.1-T2V-1.3B-Diffusers/assets/t2v_res.jpg
-
curl -L -o t2v_res.jpg https://huggingface.co/FastVideo/FastWan2.1-T2V-1.3B-Diffusers/resolve/main/assets/t2v_res.jpg
301 kB

- Xet hash:
- 9826668c0caa7dcdefb1e9ef117348829af17e15e18d8884760c39d3633a2cd0
- Size of remote file:
- 301 kB
- SHA256:
- 91db579092446be2a834bc67721a8e4346936f38c4edb912f459ca3e10f8f439
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