Text-to-Video
Diffusers
Safetensors
English
text-to-video;
image-to-video;
comfyUI;
video-generation;
Instructions to use lightx2v/Wan2.2-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Wan2.2-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Wan2.2-Lightning", 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
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- video-generation;
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# Wan2.2-Lightning
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- video-generation;
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You're welcome to visit our [GitHub repository](https://github.com/ModelTC/Wan2.2-Lightning) for the latest model releases or to reproduce our results.
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# Wan2.2-Lightning
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<!-- [**Wan2.2-Lightning: Distill Wan2.2 Family into 4 Steps**] <be> -->
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