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
Could you make a distilled 4 step lora for IDEOGRAM 4
#5
by shadowmonarchforreal - opened
Hey will you make a ideogram 4 (4-step distillation lora), it takes about 28 steps for 1 image, buts it too long. It's a good model btw