Image-to-Video
Diffusers
Safetensors
Wan2.2
WanAnimatePipeline
wan-animate
character-animation
mxfp8
auto-round
Instructions to use intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound 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("intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound", 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") - Wan2.2
How to use intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download examples/mxfp8_native.mp4 from intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 4.14 MB
-
https://huggingface.co/intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound/resolve/main/examples/mxfp8_native.mp4
- Command line
-
hf download hf://intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound/examples/mxfp8_native.mp4
-
curl -L -o mxfp8_native.mp4 https://huggingface.co/intel-ai/Wan2.2-Animate-14B-Diffusers-MXFP8-AutoRound/resolve/main/examples/mxfp8_native.mp4
4.14 MB
- Xet hash:
- b8b133eaa1e2b446892c432f5f041e7d7f797c1f0cb58263eab7a123fa3308f4
- Size of remote file:
- 4.14 MB
- SHA256:
- c9264a0cbbff9de690757551c7ac00640da912d739577c732c820bd12351c22e
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