Text-to-Video
Diffusers
English
smd
diffusion-distillation
few-step
lora
wan
wan2.1
video-generation
4-step
Instructions to use zjwfufu/SMD-Wan2.1-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjwfufu/SMD-Wan2.1-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zjwfufu/SMD-Wan2.1-1.3B") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download examples/sample.mp4 from zjwfufu/SMD-Wan2.1-1.3B: direct link, hf CLI and curl.
- Browser
- Download file 328 kB
-
https://huggingface.co/zjwfufu/SMD-Wan2.1-1.3B/resolve/main/examples/sample.mp4
- Command line
-
hf download hf://zjwfufu/SMD-Wan2.1-1.3B/examples/sample.mp4
-
curl -L -o sample.mp4 https://huggingface.co/zjwfufu/SMD-Wan2.1-1.3B/resolve/main/examples/sample.mp4
328 kB
- Xet hash:
- 500bcbae3d7ae1d184d64168548d5a3522e848839e56b9cb81a74cf8414d7730
- Size of remote file:
- 328 kB
- SHA256:
- 8fd53493b9ed7c29ec5e687a857637362954d67575faf063e8632c3fc0f9bcd8
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