InfiniteYou

InfiniteYou (InfU) is a powerful framework based on diffusion transformers designed to enable flexible image reconstruction and maintain user identity. It significantly improves the quality and aesthetics of image generation by introducing identity features and adopting a multi-stage training strategy, while improving text-image alignment. This technology is of great significance to improving the similarity and aesthetics of image generation and is suitable for various image generation tasks.

Demand population:

"This product is suitable for researchers and developers who need high-fidelity image generation, especially in areas such as image processing and personalized image generation. Its flexibility and power enable it to meet diverse creative needs."

Example of usage scenarios:

Users generate personalized images by providing text prompts.

Artists use this model to create unique works of art.

The researchers generated data in the experiment to verify the validity of the algorithm.

Product Features:

Residual connections are used to inject identity features to enhance identity similarity.

Multi-stage training strategies, including pre-training and supervised fine-tuning, improve text-image alignment.

Compatible with multiple existing models, supporting the flexibility of custom tasks.

Provide easy-to-use parameter adjustment options to suit personalized needs.

It has strong compatibility and supports the use of existing control networks and LoRA.

Tutorials for use:

Clone the GitHub code base.

Follow the instructions to install the model.

Select the appropriate model variant (such as aes_stage2 or sim_stage1).

Adjust parameters as needed, such as infusenet_conditioning_scale.

Use text prompts to generate images and evaluate them.