HunyuanImage 3.0 Instruct is a native multimodal autoregressive model developed by Tencent, specifically engineered for high-fidelity image generation and instruction-driven editing. Moving beyond traditional diffusion-based architectures, this model unifies multimodal understanding and generation into a single framework. A key feature is its Chain-of-Thought (CoT) reasoning capability, which allows the model to analyze and structure its response to a prompt before generating or editing an image, ensuring high logical alignment with complex user intent.
Architecture and Scale
The system is built on a Mixture-of-Experts (MoE) architecture featuring 80 billion parameters across 64 specialized expert modules. During inference, only 13 billion parameters are activated per token, balancing performance with a massive model capacity. This scale enables the model to process bilingual instructions in Chinese and English that exceed 1,000 characters, and it provides industry-leading performance in rendering accurate, context-aware text directly into visual outputs.
Instruction Following and Editing
Optimized for instruction-following, the model supports over 80 distinct image-to-image tasks, including creative editing, style transformation, and multi-image fusion. It can intelligently identify which areas of an image to modify while maintaining consistency in the background and unedited elements. This makes it capable of sophisticated edits like object swapping, lighting adjustment, and restoring old photographs with semantic precision.