HunyuanImage 3.0 Technical Report скачать в хорошем качестве

HunyuanImage 3.0 Technical Report

HunyuanImage 3.0 is a state-of-the-art, open-source foundation model that unifies image understanding and generation within a single autoregressive framework, utilizing a massive Mixture-of-Experts architecture with over 80 billion parameters. Built upon the Hunyuan-A13B large language model, the system employs a hybrid design that processes text through next-token prediction while modeling visual data using diffusion-based techniques, enabling it to handle complex multimodal tasks efficiently. The model's superior performance is driven by a rigorous data curation pipeline that filtered billions of raw images into high-quality datasets, as well as the integration of native Chain-of-Thought reasoning which allows the model to internally refine user prompts for better logical consistency and visual fidelity. Following a progressive pre-training phase, the model underwent extensive post-training optimizations—including supervised fine-tuning and advanced reinforcement learning strategies like MixGRPO—to minimize artifacts and align outputs with human aesthetic preferences. Comprehensive evaluations demonstrate that HunyuanImage 3.0 rivals or exceeds the capabilities of leading closed-source commercial models in text-image alignment and visual quality, making it a powerful tool for the research community. https://arxiv.org/pdf/2509.23951