This repository is no longer maintained. All nodes and functionality have been moved to the official LTX-Video repository.

Please use the official repository for all future development and updates: https://github.com/Lightricks/ComfyUI-LTXVideo

A set of nodes that provide additional controls for the LTX Video model

There are no additional packages required. The ComfyUI examples page can get you started if you haven't already used LTX.

Example workflows can be found in the example_workflows directory.

This is an implementation of RF-Inversion and an example workflow can be found here.

This is an implementation of RF-Solver-Edit and an example workflow can be found here.

This is an implementation of FlowEdit and an example workflow can be found here.

This is a method to perform Video to Video while using a reference image.

Use this example workflow for getting started. Results may vary.

A portion of Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling (STG) has been implemented. Planning to add the "Restart" feature when time allows.

Use this example workflow to see how it works.

Left is without STG, and right is with STG.

Deprecated, since this functionality has been integrated into core ComfyUI. Please use LTXVKeyFrameConditioning and LTXVSequenceConditioning nodes instead.

RF-Inversion

@article{rout2024rfinversion,
  title={Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations},
  author={Litu Rout and Yujia Chen and Nataniel Ruiz and Constantine Caramanis and Sanjay Shakkottai and Wen-Sheng Chu},
  journal={arXiv preprint arXiv:2410.10792},
  year={2024}
}

RF-Solver-Edit

@article{wang2024taming,
  title={Taming Rectified Flow for Inversion and Editing},
  author={Wang, Jiangshan and Pu, Junfu and Qi, Zhongang and Guo, Jiayi and Ma, Yue and Huang, Nisha and Chen, Yuxin and Li, Xiu and Shan, Ying},
  journal={arXiv preprint arXiv:2411.04746},
  year={2024}
}

FlowEdit

@article{kulikov2024flowedit,
	title = {FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models},
	author = {Kulikov, Vladimir and Kleiner, Matan and Huberman-Spiegelglas, Inbar and Michaeli, Tomer},
	journal = {arXiv preprint arXiv:2412.08629},
	year = {2024}
	}