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
Move NVFP4 sparse weights to repository root
Browse files- Wan2.2-I2V-A14B/Wan2.2-I2V-A14B_NVFP4_Sparse_high.safetensors → Wan2.2-I2V-A14B_NVFP4_Sparse_high.safetensors +0 -0
- Wan2.2-I2V-A14B/Wan2.2-I2V-A14B_NVFP4_Sparse_low.safetensors → Wan2.2-I2V-A14B_NVFP4_Sparse_low.safetensors +0 -0
- Wan2.2-T2V-A14B/Wan2.2-T2V-A14B_NVFP4_Sparse_high.safetensors → Wan2.2-T2V-A14B_NVFP4_Sparse_high.safetensors +0 -0
- Wan2.2-T2V-A14B/Wan2.2-T2V-A14B_NVFP4_Sparse_low.safetensors → Wan2.2-T2V-A14B_NVFP4_Sparse_low.safetensors +0 -0
Wan2.2-I2V-A14B/Wan2.2-I2V-A14B_NVFP4_Sparse_high.safetensors → Wan2.2-I2V-A14B_NVFP4_Sparse_high.safetensors
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Wan2.2-I2V-A14B/Wan2.2-I2V-A14B_NVFP4_Sparse_low.safetensors → Wan2.2-I2V-A14B_NVFP4_Sparse_low.safetensors
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Wan2.2-T2V-A14B/Wan2.2-T2V-A14B_NVFP4_Sparse_high.safetensors → Wan2.2-T2V-A14B_NVFP4_Sparse_high.safetensors
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Wan2.2-T2V-A14B/Wan2.2-T2V-A14B_NVFP4_Sparse_low.safetensors → Wan2.2-T2V-A14B_NVFP4_Sparse_low.safetensors
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