The UniPic-2.0 Series is based on efficient architectures with diffusion post-training, delivering state-of-the-art performance in text-to-image generation, fine-grained image editing, and multimodal reasoning. This series includes variants such as SD3.5M-Kontext and MetaQuery, which have been optimized for both accuracy and deployability. The UniPic-2.0 Series is a significant improvement over previous models, offering more accurate and efficient results in various visual tasks.
The UniPic repository is licensed under the MIT License, making it freely available for use and modification. The repository includes model weights, official implementations, and documentation, making it easy for developers to integrate the UniPic models into their own projects. With its unified autoregressive modeling approach and efficient architectures, UniPic is a powerful tool for visual understanding and generation tasks, and its applications are diverse and far-reaching.
