Instructions to use INCModel/Wan2.2-T2V-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-T2V-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-T2V-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
| license: apache-2.0 | |
| base_model: | |
| - Wan-AI/Wan2.2-T2V-A14B-Diffusers | |
| ## Model Details | |
| This model is a mxfp8 quantized version of [Wan-AI/Wan2.2-T2V-A14B-Diffusers](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers) based on [intel/auto-round](https://github.com/intel/auto-round). | |
| Please follow the license of the original model. |