Hunyuan Image 3.0 – AI Image Generator (Text-to-Image) (hunyuanimage.online)

Tencent has released and open-sourced HunyuanImage 3.0, a new state-of-the-art text-to-image diffusion model that the company bills as the largest open-source image-generation MoE to date. The model family totals ~80 billion parameters with a sparse MoE design that reportedly activates ~13B parameters per token at inference, and is available on Hugging Face. Architecturally it uses a two-stage “base + refiner” pipeline, an enhanced dual-encoder (multimodal LLM + character-aware text encoder) for Chinese/English prompts, an advanced compression VAE to cut compute cost, and RLHF-driven aesthetic tuning. Tencent demonstrates capabilities such as generating text within images, multi-panel comic layouts, strong cultural fidelity for Eastern motifs, and flexible aspect-ratio outputs up to 2K/production-ready resolution. For the AI/ML community this matters because HunyuanImage 3.0 combines large-scale sparse models, distillation/compression techniques, and multimodal reasoning into an accessible, commercial-friendly release — lowering the barrier for researchers and creators to experiment with high-quality, efficient image generation. Key implications include more efficient inference via sparsity and VAE compression, stronger multilingual and layout-aware prompt understanding, and broader reproducibility now that weights and pipelines are public. The release will likely accelerate benchmarking, fine-tuning, safety analysis, and downstream applications while raising fresh questions about misuse, content moderation, and IP given its commercial-friendly licensing.