Instructions to use lightx2v/Wan2.2-NVFP4-Sparse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Wan2.2-NVFP4-Sparse 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-NVFP4-Sparse", 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
Request for i2v
#4
by RedwanRafi - opened
lightx2v Team Done so many great things. this Wan2.2-NVFP4-Sparse is pretty fast. We would love to see wan 2.2 i2v.
Thank you for your interest in LightX2V. Wan 2.2 I2V has been released.
lightx2v changed discussion status to closed
Thanks for your reply, i was asking about the wan 2.2-I2V-NVFP4-Sparse 720p or 1080 if possible