Instructions to use INCModel/Wan2.2-I2V-A14B-Diffusers-MXFP8-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INCModel/Wan2.2-I2V-A14B-Diffusers-MXFP8-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INCModel/Wan2.2-I2V-A14B-Diffusers-MXFP8-AutoRound", 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-I2V-A14B-Diffusers-MXFP8-AutoRound / transformer /diffusion_pytorch_model-00005-of-00006.safetensors
- Xet hash:
- c3614b356e8abdff2c6e911ffd4357cfc1f3d4c4cbef8632b605583d0c39b67e
- Size of remote file:
- 5 GB
- SHA256:
- cb394ebb7bfeb9798f06e84a4dc09158c7ba1d3d73c2f4643db93fcb8c3abf94
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