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ComfyUI_InfiniteYou

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Last updated
2025-06-28

This repository introduces a native node for ComfyUI that integrates InfiniteYou with FLUX, enabling flexible photo generation while preserving user identity. It aims to enhance image generation quality and identity similarity through advanced diffusion techniques.

  • Provides a robust framework for identity-preserved image generation using Diffusion Transformers (DiTs).
  • Features a plug-and-play design for compatibility with various existing methods, enhancing its utility within the ComfyUI ecosystem.
  • Includes both single and multi-identity workflows, allowing users to generate images for one or multiple subjects seamlessly.

Context

The tool is a native node for ComfyUI that implements InfiniteYou, a framework designed for generating images while maintaining the identity of individuals. By leveraging FLUX, it addresses common challenges in image generation, such as maintaining identity similarity and improving text-image alignment.

Key Features & Benefits

This node allows for high-fidelity image generation that preserves user identity through advanced techniques. Its ability to work with different identity models and its integration within ComfyUI provide users with a powerful tool for creating personalized images.

Advanced Functionalities

The InfiniteYou node utilizes InfuseNet, which enhances identity features through residual connections in the base model. This innovative approach improves the overall quality of generated images and ensures better alignment between text inputs and visual outputs.

Practical Benefits

The integration of InfiniteYou within ComfyUI significantly streamlines workflows for users focused on identity-preserved image generation. This tool enhances control over the output quality and efficiency, allowing for more creative possibilities in AI art generation.

Credits/Acknowledgments

The development of this tool is credited to the original authors from ByteDance, with contributions acknowledged under the Apache License 2.0 for the code and a Creative Commons Attribution-NonCommercial 4.0 International Public License for the model. Users are encouraged to adhere to these licenses and utilize the tool responsibly.