Instructions to use ucfzl/TLBVFI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ucfzl/TLBVFI 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("ucfzl/TLBVFI", 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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Enhance model card for TLB-VFI: add metadata, links, and usage (#1)
Verified signature- Enhance model card for TLB-VFI: add metadata, links, and usage (b947b19f5f61d8cba601a9b28fb8a78a6f43b695) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>5384ffc
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