#flux1

[#CollovResearch] Excited to share our latest collaborative research with Yale University Berkeley AI Research(AI Lab) and NUS on DEdit( a cutting-edge method for precise and disentangled image editing ranked as the No.2 project, surpassing #flux1, incredible achievement for us! This milestone showcases our breakthrough in image editing technology and reflects the growing anticipation and recognition from the communityThis innovative approach focuses on making edits without altering or losing information from the original image, using a learnable prompt editing component for diffusion models. At #CollovLabs, we’ve extended #DEdit to make it accessible to users with diverse editing needs through an easy-to-use API. This enhanced pipeline improves segmentation and provides step-by-step guidance, allowing for seamless and faithful image editing via natural language input. Hugging Face : Full Paper: Paper authors: AosongFeng, Weikang Qiu, Rex Ying, Jinbin Bai,Xiao Zhang KC Zhou Zhen Dong Leandros Tassiulas
NewEyes AI (by Collov Labs)10,607 görüntüleme • 1 yıl önce
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