Instructions to use lightx2v/Wan-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Wan-NVFP4 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/Wan-NVFP4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use lightx2v/Wan-NVFP4 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Project Starred ๐ฅPlease WAN 2.2 NVFP4
#3
by Mokshai - opened
Hope to check out with Comfyui for wan 2.1 and a release of wan 2.2 i2v 14b would be great, as well as others models you can fit in FP4
Take my star you amazing folks ๐
I've used this in my wan 2.2 workflows, it works with my laptop 5070Ti
I've used this in my wan 2.2 workflows, it works with my laptop 5070Ti
bro, can you share workflow?