Text-to-Video
Diffusers
English
Chinese
WanPipeline
wan
wan2.1
video-generation
quantized
nf4
4-bit precision
Instructions to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4", 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 vae/diffusion_pytorch_model.bin from wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4: direct link, hf CLI and curl.
- Browser
- Download file 254 MB
-
https://huggingface.co/wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4/resolve/main/vae/diffusion_pytorch_model.bin
254 MB
- Xet hash:
- 0bdec952575bd11958fee343ddbb9be09852690c7e7dcb598ed893bfba2cf715
- Size of remote file:
- 254 MB
- SHA256:
- e1cd10a86da3a16f352f4c40f208e70febe1938842f52f67614ae73191e82cd3
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