Image-to-Video
Diffusers
ONNX
Safetensors
WanPipeline
video-generation
video diffusion transformer
audio-driven avatar animation
Instructions to use FrancisRing/StableAvatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrancisRing/StableAvatar 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("FrancisRing/StableAvatar", 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
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README.md
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- image-to-video
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- text-to-video
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tags:
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---
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# StableAvatar
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journal={arXiv preprint arXiv:2508.08248},
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year={2025}
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}
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```
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- image-to-video
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- text-to-video
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tags:
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- video-generation
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- video diffusion transformer
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- audio-driven avatar animation
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base_model:
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- Wan-AI/Wan2.1-T2V-14B
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pipeline_tag: image-to-video
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library_name: diffusers
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---
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# StableAvatar
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journal={arXiv preprint arXiv:2508.08248},
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year={2025}
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}
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```
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