InfiniteYou – ByteDance’s Open Source Identity-Preserving Image Generation Framework

What is InfiniteYou?

InfiniteYou (InfU) is an identity-preserving image generation framework introduced by ByteDance’s Intelligent Creation Team, based on Diffusion Transformers such as FLUX. Leveraging InfuseNet to inject identity features into the diffusion model, it enhances identity similarity while maintaining image generation capabilities. InfiniteYou incorporates a multi-stage training strategy, including pre-training and supervised fine-tuning (SFT), utilizing Synthetic Person Multi-Sample (SPMS) data to improve text-to-image alignment, image quality, and aesthetic effects. With its outstanding performance and strong compatibility, InfiniteYou makes significant contributions to the field of generative AI.

The main functions of InfiniteYou

• Identity Preservation: The generated images highly retain the facial similarity of the input identity images.
• Text-Driven Image Generation: Users control the content, style, and scene of the generated images based on text descriptions.
• High-Quality Image Generation: The generated images exhibit excellent quality, aesthetic effects, and text alignment.
• Plugin-Based Design: Compatible with various existing methods and tools (e.g., ControlNets, LoRAs, etc.), supporting more complex personalized tasks.

Technical Principles of InfiniteYou

• InfuseNet: InfuseNet is the core component of InfiniteYou, similar to ControlNet, designed to inject identity features into diffusion models (such as FLUX). The identity features are injected into the diffusion model via residual connections, avoiding direct modifications to the attention layers and reducing the negative impact on the foundational model’s generative capabilities.
• Pretraining Phase: Pretrained on real Single-Person Single-Sample (SPSS) data to learn the reconstruction ability of identity images.
• Supervised Fine-Tuning Phase: Fine-tuned on synthetic Single-Person Multi-Sample (SPMS) data to enhance text-to-image alignment, image quality, and aesthetic effects.
• Diffusion Transformers: Advanced diffusion transformers (such as FLUX) are used as the foundational model, which demonstrates excellent performance in image generation. The diffusion transformer supports the generation of high-quality, high-resolution images, providing a robust foundation for identity-preserving image generation.
• Plugin-Based Design: InfiniteYou supports a variety of existing methods and tools, such as ControlNets, LoRAs, etc., offering greater flexibility and extensibility. Users can select different plugins based on their needs to achieve more complex personalized tasks, such as stylization, multi-concept generation, and more.

Project address of InfiniteYou

• Project Official Website: https://bytedance.github.io/InfiniteYou/
• GitHub Repository: https://github.com/bytedance/InfiniteYou
• HuggingFace Model Hub: https://huggingface.co/ByteDance/InfiniteYou
• arXiv Technical Paper: https://arxiv.org/pdf/2503.16418
• Online Demo Experience: https://huggingface.co/spaces/ByteDance/InfiniteYou

Application scenarios of InfiniteYou

• Social Media and Personal Branding: Users can generate images of their photos in different styles for sharing or brand promotion.
• Film and Entertainment: Quickly generate the images of actors or characters in different scenarios to assist in film production and character design.
• Advertising and Marketing: Generate personalized advertisements based on the photos of the target audience to enhance attractiveness.
• Education and Training: Generate virtual teacher or historical figure images for online education and historical display.
• Art and Design: Assist artists and designers in quickly generating creative sketches to explore different styles.