

Infiniteyou
Overview :
InfiniteYou (InfU) is a powerful diffusion-transformer-based framework designed for flexible image reconstruction while preserving user identity. By introducing identity features and employing a multi-stage training strategy, it significantly improves the quality and aesthetics of image generation while enhancing text-to-image alignment. This technology is important for improving the similarity and aesthetics of image generation and is suitable for various image generation tasks.
Target Users :
This product is suitable for researchers and developers who need high-fidelity image generation, especially in the fields of image processing and personalized image generation. Its flexibility and powerful features allow it to meet diverse creative needs.
Use Cases
Users generate personalized images by providing text prompts.
Artists use the model to create unique artwork.
Researchers generate data in experiments to verify the effectiveness of algorithms.
Features
Injects identity features using residual connections to enhance identity similarity.
Multi-stage training strategy, including pre-training and supervised fine-tuning, improves text-to-image alignment.
Compatible with various existing models, supporting the flexibility of custom tasks.
Provides easy-to-use parameter adjustment options to adapt to personalized needs.
Has strong compatibility and supports the combined use of existing control networks and LoRA.
How to Use
Clone the GitHub repository.
Install the model according to the instructions.
Select a suitable model variant (e.g., aes_stage2 or sim_stage1).
Adjust parameters as needed, such as infusenet_conditioning_scale.
Generate images using text prompts and evaluate them.
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