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
Download assets/videos/case-62_1.mp4 from FrancisRing/StableAvatar: direct link, hf CLI and curl.
- Browser
- Download file 3.98 MB
-
https://huggingface.co/FrancisRing/StableAvatar/resolve/main/assets/videos/case-62_1.mp4
- Command line
-
hf download hf://FrancisRing/StableAvatar/assets/videos/case-62_1.mp4
-
curl -L -o case-62_1.mp4 https://huggingface.co/FrancisRing/StableAvatar/resolve/main/assets/videos/case-62_1.mp4
3.98 MB
- Xet hash:
- 5388238c5b7fba0123559f3e74e7cd7df9f64b51221e305a71fb1f0ea2a9bb8d
- Size of remote file:
- 3.98 MB
- SHA256:
- 2236d39e0b316c2494ab6147991a92c61c8776539e3b715e75e3d28a561b74d0
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