HunyuanImage-3.0
HuggingFace
A native multimodal autoregressive image generation model. Unlike the traditional DiT-style pipelines, it models text and image tokens in a single framework, improving world-knowledge reasoning and prompt adherence. It’s also the largest open-source image-generation MoE model to date, with 80B total parameters and 64 experts (~13B active per token).
Why should you use HunyuanImage-3.0:
- Unified multimodal architecture: The model is built on Hunyuan-A13B and trained on 5B image–text pairs, video frames, interleaved image–text data, plus 6T text tokens. This hybrid training method allows the model to seamlessly understand and generate images.
- Intelligent world-knowledge reasoning: The unified design lets the model infer missing details from sparse prompts and produce coherent, complete images with high visual quality.
- Handles thousand-word prompts: Originating from Tencent’s internal multimodal LLM, HunyuanImage-3.0 is fine-tuned and post-trained for text-to-image tasks. It can process very long instructions, giving users precise control over image details. This means you can create highly detailed and complex visual compositions from extended prompts.
Points to be cautious about:
- The current release focuses on text-to-image tasks. Planned updates include image-to-image, image editing, multi-turn interaction, and more.
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Last modified 22 March 2026