arthur-qiu / longercrafter

Tuning-Free Longer Video Diffusion via Noise Rescheduling

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Examples

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Run time and cost

This model costs approximately $0.44 to run on Replicate, or 2 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 8 minutes. The predict time for this model varies significantly based on the inputs.

Readme

FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

576x1024 model supports 64 frames, 256x256 models supports 512 frames.

Input: "A chihuahua in astronaut suit floating in space, cinematic lighting, glow effect";
Resolution: 1024 x 576; Frames: 64.

Input: "Campfire at night in a snowy forest with starry sky in the background";
Resolution: 1024 x 576; Frames: 64.

🧲 Support For Other Models

FreeNoise is supposed to work on other similar frameworks. An easy way to test compatibility is by shuffling the noise to see whether a new similar video can be generated (set eta to 0). If your have any questions about applying FreeNoise to other frameworks, feel free to contact Haonan Qiu.

👨‍👩‍👧‍👦 Crafter Family

VideoCrafter: Framework for high-quality video generation.

ScaleCrafter: Tuning-free method for high-resolution image/video generation.

TaleCrafter: An interactive story visualization tool that supports multiple characters.

😉 Citation

@misc{qiu2023freenoise,
      title={FreeNoise: Tuning-Free Longer Video Diffusion Via Noise Rescheduling}, 
      author={Haonan Qiu and Menghan Xia and Yong Zhang and Yingqing He and Xintao Wang and Ying Shan and Ziwei Liu},
      year={2023},
      eprint={2310.15169},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

📢 Disclaimer

We develop this repository for RESEARCH purposes, so it can only be used for personal/research/non-commercial purposes.