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
Upload camera_guider.pt with huggingface_hub
Browse files- camera_guider.pt +3 -0
camera_guider.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cbff9e8392cf4621a54b60162fdcb2ff39b12955590159b9be095440406d0ed4
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size 853784
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