ByteDance Open-Sources InfiniteYou: An Identity-Preserving Image Generation Framework Based on FLUX 136

小编 · 2025-03-23

InfiniteYou is a powerful image generation framework released by ByteDance, built on FLUX, that generates various images while preserving identity consistency. Leveraging diffusion transformer (DiTs) techniques such as FLUX, it addresses issues in existing methods including insufficient identity similarity, poor text-image alignment, and low generation quality.

ByteDance Open-Sources InfiniteYou: An Identity-Preserving Image Generation Framework Based on FLUX

What is InfiniteYou?

InfiniteYou is a powerful image generation framework launched by ByteDance. Built on FLUX, it can generate a wide variety of images while preserving character consistency. Leveraging diffusion transformer (DiT) technology such as FLUX, it addresses common issues in existing methods, including insufficient identity similarity, poor text-image alignment, and low generation quality.

ByteDance open-sources InfiniteYou: a FLUX-based approach that generates various images while preserving character consistency.jpg

Core Features of InfiniteYou

Identity Preservation: Through the InfuseNet component, identity features are injected into the diffusion model, ensuring that the identity of the person in the generated image remains highly consistent with the input reference image.
High-Quality Image Generation: Adopts a multi-stage training strategy, including pre-training and supervised fine-tuning (SFT) using synthesized Single-Person Multi-Sample (SPMS) data, significantly improving image quality and aesthetics.
Flexible Text-Driven Generation: Users can customize the content of generated images through natural language descriptions, supporting descriptions of various scenes, styles, and details.
Plug-and-Play Design: InfiniteYou is compatible with multiple existing AI tools and frameworks, such as different FLUX variants, ControlNets, and LoRAs, making it easy for developers to extend and customize.

Core Technologies of InfiniteYou

InfuseNet: This is an innovative component that injects individual identity features into the image generation model through residual connections, ensuring that the generated images not only match the description but also retain unique facial features.
Multi-Stage Training Strategy: The model is first pre-trained on a large amount of real data, then fine-tuned using synthesized single-person multi-sample data to optimize generation results and improve text-image alignment.

ByteDance open-sources InfiniteYou: a FLUX-based approach that generates various images while preserving character consistency.webp

Application Scenarios of InfiniteYou

Virtual Character Creation: Helps users quickly generate personalized virtual characters for virtual social interactions, games, or virtual meetings.
Personalized Avatars and Social Media: Users can use InfiniteYou to generate personalized avatars in various styles, enhancing the personalization experience on social media.
Advertising and Marketing: Advertisers can use InfiniteYou to generate ad images that resemble their target audience, improving ad appeal and conversion rates.
Game Development: Helps developers quickly generate diverse character models, enhancing game immersion and fun.
Artistic Creation: Artists can use InfiniteYou to explore different art styles and creative inspirations, producing unique works.

How to Use InfiniteYou

1. Environment Preparation

Hardware Requirements: A high-performance GPU is recommended, such as NVIDIA RTX 30 series or higher.
Software Environment: Python (version 3.8 or above is recommended) and the PyTorch framework need to be installed.

2. Installation Steps

Clone the repository:

git clone https://github.com/bytedance/InfiniteYou.git
cd InfiniteYou

Install dependencies:

pip install -r requirements.txt

3. Image Generation

Run the generation script:

python generate.py --prompt "description text" --image_path "input image path" --output_path "output image path"

Where:

prompt: The input text description used to define the content of the generated image.
image_path: The path to the input reference image, used to extract identity features.
output_path: The save path for the generated image.

Example: Suppose you have a photo of yourself and want to generate an image of yourself vacationing by the sea:

python generate.py --prompt "A person on vacation by the sea, wearing casual clothes, sunny day" --image_path "./input.jpg" --output_path "./output.jpg"

After running, InfiniteYou will generate an image that meets your requirements based on your description and input photo.

The results show that InfiniteYou surpasses several existing mainstream technologies in identity fidelity, text matching, and image quality, such as PuLID-FLUX and FLUX.1-dev IP-Adapter.