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
Wan2.2-Lightning / Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1 /Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1-forKJ.mp4
- Xet hash:
- ffa874cc92752ec336368ecfca0b406ca13b064bd79917d9a2c9d86b0be24c07
- Size of remote file:
- 2.22 MB
- SHA256:
- 00ac830ba5d017dcc77cf11b0ae9776ca6e73434030eb70c494e2f7246ea6815
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