Instructions to use ApacheOne/Wan2.2-Animate-2-14B-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ApacheOne/Wan2.2-Animate-2-14B-OrbitQuant-W4A4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ApacheOne/Wan2.2-Animate-2-14B-OrbitQuant-W4A4", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
| { | |
| "package": "OrbitQuant_WanAnimate2_FreshColab_W4A4_v3", | |
| "build_host": { | |
| "python": "3.13.5", | |
| "platform": "Linux-6.18.35-x86_64-with-glibc2.41" | |
| }, | |
| "compileall": "PASS", | |
| "pytest": { | |
| "status": "PASS", | |
| "tests": 17 | |
| }, | |
| "gpu_validation_on_build_host": "NOT_AVAILABLE", | |
| "mandatory_colab_gates": [ | |
| "CUDA available and SM80+", | |
| "Torch>=2.10", | |
| "CUDA>=12.8", | |
| "Triton>=3.6", | |
| "A4 parity d=5120", | |
| "A4 parity d=13824", | |
| "packed W4A4 parity real shapes", | |
| "actual packed artifact matrix gate", | |
| "480 packed modules", | |
| "480 active modules" | |
| ] | |
| } | |