Instructions to use Gaojunyao/CharacterShot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gaojunyao/CharacterShot 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/CharacterShot", 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
- Xet hash:
- 12ce99d011e87f47a4d10c600542207ce588adf29b636f3d838faa7051306d1d
- Size of remote file:
- 8.3 MB
- SHA256:
- 2dfaca72ef5b5ecb804b5f3f0892df29b224c1791c29320974d17f2b3d48438d
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