Instructions to use wwen1997/framer_512x320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wwen1997/framer_512x320 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wwen1997/framer_512x320", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Framer

Framer: Interactive Frame Interpolation
Wen Wang1,2, Qiuyu Wang2, Kecheng Zheng2, Hao Ouyang2, Zhekai Chen1, Biao Gong2, Hao Chen1,
Yujun Shen2, Chunhua Shen1

π TL;DR
We propose Framer, a more controllable and interactive frame interpolation method that allows users to produce smoothly transitioning frames between two images by customizing the trajectory of selected keypoints, enhancing control and handling challenging cases.
π Citation BibTeX
Please consider citing our paper if our code is useful:
@article{wang2024framer,
title={Framer: Interactive Video Interpolation},
author={Wang, Wen and Wang, Qiuyu and Zheng, Kecheng and Ouyang, Hao and Chen, Zhekai and Gong, Biao and Chen, Hao and Shen, Yujun and Shen, Chunhua},
journal={arXiv preprint https://arxiv.org/abs/2410.18978},
year={2024}
}
π« License
For academic use, this project is licensed under the 2-clause BSD License. For commercial use, please contact C Shen.
π Acknowledgements
- Thanks to SVD_Xtend for the wonderful work and codebase.
- Thanks to DragAnything for the wonderful work and codebase.
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Paper for wwen1997/framer_512x320
Paper β’ 2410.18978 β’ Published β’ 39