JD.com (jd-opensource) officially open-sources JoyAI-Image — a true unified multimodal foundation model. It uses an 8B multimodal LLM (MLLM) as the understanding center, paired with a 16B multimodal diffusion Transformer (MMDiT) as the generation engine, fusing "image understanding, text-to-image, instruction-based image editing" into a single model family. The most noteworthy piece is its "understanding ⇄ generation" closed-loop design: in traditional multimodal systems, understanding is understanding and generation is generation; JoyAI-Image bridges the two — stronger spatial understanding feeds back into generation quality and controllable editing, while newly generated viewpoints provide evidence for spatial reasoning. This bidirectional-incentive paradigm is rare in domestic open-source multimodal work. On the technical side, it's specifically optimized for long-text typesetting, multi-view generation, geometry-aware spatial editing (Object Move / Object Rotation / Camera Control), and stands against Qwen-Image-Edit, Nano Banana Pro on spatial reasoning. Model weights, Diffusers integration, ComfyUI workflow, and HuggingFace Demo are all released, fully open-source under Apache 2.0. Latest update on July 17: JoyAI-Image-Edit and Edit-Plus natively support ComfyUI and can be dragged directly into the workflow to run, with no extra dependencies. The real meaning of this path: when the industry is still arguing over "understanding camp" vs "generation camp", JD.com gives the answer with a unified architecture — the boundary didn't have to be drawn in the first place. In the short term, this puts pressure on open-source image models like Qwen-Image-Edit and Seedream; in the long term, the bidirectional-incentive "understanding ⇄ generation" paradigm may become the standard for the next generation of multimodal models.