FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations [CVPR 2025]

Hmrishav Bandyopadhyay . Yi-Zhe Song

✨ Sketch + Text → Animation ✨

🎥 Gallery 🎥

Try out our Hugging Face Space!

Powered by ZeroGPU - Special thanks to Hugging Face 🙌

• Install conda environment:

conda env create -f flipsketch.yml

• Download T2V LoRA Model from HuggingFace

git lfs install
git clone https://huggingface.co/Hmrishav/t2v_sketch-lora

• Place LoRA checkpoint under root folder:

mv t2v_sketch-lora/checkpoint-2500 ./checkpoint-2500/

• Run app

python app.py

To use the codebase with PyTorch2.0, modify here to import from text2vid_torch2.py instead of text2vid_modded.py

We use a T2V model fine-tuned on sketch animations, and condition it to follow an input sketch.

We perform attention composition with reference noise from the input sketch.

• Live-Sketch
• Text-To-Video-Finetuning
• Prompt-To-Prompt

If you find FlipSketch useful, consider citing our work:

@inproceedings{bandyopadhyay2024flipsketch,
  title={FlipSketch: Flipping static Drawings to Text-Guided Sketch Animations}, 
  author={Hmrishav Bandyopadhyay and Yi-Zhe Song},
  booktitle={CVPR},
  year={2025}
}