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InfiniteYou-FLUX

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Flexible Photo Recrafting While Preserving Your Identity

4.5
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Inputs: image, textOutputs: image
Type
Saas
Company
ByteDance Intelligent Creation
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About InfiniteYou-FLUX

InfiniteYou (InfU) is a research framework from ByteDance Intelligent Creation for identity-preserved image generation using Diffusion Transformers (DiTs) like FLUX. It introduces InfuseNet, a component that injects identity features via residual connections, enhancing identity similarity while maintaining generation capabilities. A multi-stage training strategy, including pretraining and supervised fine-tuning with synthetic single-person-multiple-sample data, improves text-image alignment, image quality, and alleviates face copy-pasting. InfU achieves state-of-the-art performance in identity similarity, text-image alignment, quality, and aesthetics. It features a plug-and-play design compatible with FLUX variants, ControlNets, LoRAs, OminiControl, and IP-Adapter, enabling flexible customization. The code is released under Apache License 2.0 and the model under Creative Commons Attribution-NonCommercial 4.0 for academic research.

Key Features

InfuseNet identity injection via residual connections into DiT base model
Multi-stage training with synthetic single-person-multiple-sample data
State-of-the-art identity similarity, text-image alignment, quality, and aesthetics
Plug-and-play compatibility with FLUX variants (FLUX.1-dev, FLUX.1-schnell)
Support for ControlNets and LoRAs for additional controllability
Compatibility with OminiControl for multi-concept personalization
Integration with IP-Adapter for stylization of personalized images

Pros & Cons

Pros
  • Exceptional identity similarity compared to existing methods like IP-Adapter and PuLID-FLUX
  • Strong text-image alignment with generated images closely matching prompts
  • High generation quality and aesthetic appeal
  • Plug-and-play design that integrates with various off-the-shelf approaches
  • Compatibility with multiple base models, ControlNets, LoRAs, and IP-Adapter
Cons
  • Primarily a research framework requiring technical expertise to deploy and use
  • Model released under non-commercial license (CC BY-NC 4.0) for academic use only
  • Dependence on external base models like FLUX which have their own licenses and requirements
  • Current implementation may not be optimized for real-time or consumer-facing applications

Best For

Identity-preserved photo recrafting (e.g., changing background, pose, expression)Personalized image generation with high fidelity to a reference identityMulti-concept personalization with interacted identity and object generationStylization of personalized images using external style referencesResearch and academic exploration in diffusion transformer-based identity preservation

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FAQ

What is InfiniteYou?
InfiniteYou (InfU) is a framework for flexible identity-preserved image generation using Diffusion Transformers (DiTs) like FLUX, developed by ByteDance Intelligent Creation. It achieves state-of-the-art identity similarity, text-image alignment, quality, and aesthetics.
How does InfuseNet work?
InfuseNet injects identity features into the DiT base model via residual connections, enhancing identity similarity while preserving the generation capabilities of the base model.
Is InfiniteYou compatible with other methods?
Yes, InfU has a plug-and-play design and is compatible with FLUX variants, ControlNets, LoRAs, OminiControl, and IP-Adapter, offering flexibility for customized tasks.
What license is InfiniteYou released under?
The code is released under Apache License 2.0. The model is released under Creative Commons Attribution-NonCommercial 4.0 International Public License for academic research purposes only.