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-00001-of-00006.safetensors
- Xet hash:
- ba2766e790a72c00199c3eaaaec0120ae2d254c4f72e86d055fa5e74336e6655
- Size of remote file:
- 4.96 GB
- SHA256:
- 47d19987a222465519073be5d56f19e623898f9be07cf7a0f54c6e458f968c3f
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