Instructions to use Gaojunyao/Character2D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gaojunyao/Character2D 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("Gaojunyao/Character2D", 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
Commit History
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Add model card and metadata
Verified signatureThis PR improves the model card by adding relevant metadata, including the `image-to-video` pipeline tag and the `diffusers` library name. It also adds a descriptive overview of CharacterShot, links to the official paper and GitHub repository, and provides the citation information.a65e1e8
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Update README.md
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Upload folder using huggingface_hub
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initial commit
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