Instructions to use tedlasai/learn2refocus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tedlasai/learn2refocus 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("tedlasai/learn2refocus", 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:
- 82605d1b7f9294949830a8743058e5f6e5cf7ce292b40691ca0a34f91f528211
- Size of remote file:
- 988 Bytes
- SHA256:
- b532f2aedf1d0971c49697df58ab667b25da66e310360be500a9299dc56767dc
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