Google's open-source RB-Modulation model has garnered attention in AI image processing for its training-free personalization, high fidelity, robust style description capability, and adaptability. It enables high-quality image style customization without additional training and directly supports mainstream image generation models. The model's core advantage lies in its innovative Attention Feature Aggregation (AFA) module, which effectively addres....

CSGO is a brand new style transfer model developed by the InstantX team in collaboration with Nanjing University of Science and Technology, Beihang University, and Peking University. It aims to enhance image generation technology, particularly emphasizing the combination of content and style. The model supports three modes: 1) Synthesizing styled images from content images and style reference images; 2) Generating corresponding content-style images from style reference images and text prompts; 3) Editing specified objects in images through text. The core of CSGO lies in its unique data construction process, featuring designed data generation and automated cleaning.

Stable-Hair is an innovative hair transfer technology designed to address challenges in handling diverse and complex hairstyles, providing users with an enhanced virtual hairstyle try-on experience. Utilizing diffusion models, it accurately transfers various real hairstyles onto user-provided facial images. The workflow consists of two phases: first, a 'baldness converter' removes hair from the image, followed by hairstyle transfer through three ....