HunyuanImage 3.0

HunyuanImage 3.0 is an advanced native multimodal text-to-image generation model developed by Tencent. Featuring an autoregressive large language model architecture integrated with diffusion-based image generation, it delivers state-of-the-art image quality and superior text-image alignment. With 80 billion parameters and a mixture-of-experts (MoE) design, HunyuanImage 3.0 excels in generating hyper-realistic, detailed, and stylistically diverse images from natural language prompts. It supports Chinese and English prompts and offers flexible aspect ratios, empowering creators across domains.

Technical Specifications

• Model Type: Native multimodal autoregressive diffusion model with MoE LLM backbone
• Parameters: 80 billion total, 13 billion active per token (MoE)
• Architecture: Mixture of Experts (64 experts), enhanced diffusion transformer, variational autoencoder (VAE) compression
• Training Data: Trained on 5 billion image-text pairs, enriched with video frames and interleaved multimodal data
• Input Modalities: Text prompts (Chinese/English)
• Output: High-resolution images, flexible aspect ratios

Performance Benchmarks

• Comparison to Previous Versions: Outperforms HunyuanImage 2.1 by a relative win rate of 14.1% in professional human evaluation on image quality and text alignment.
• Image Quality: Produces hyper-realistic photos, detailed illustrations, and diverse artistic styles with strong prompt adherence.
• Evaluation Methodology: 1000 carefully curated prompts evaluated by over 100 professional human raters using Good/Same/Bad (GSB) framework for fairness.

Key Features

• Massive Scale MoE Architecture: 80B parameters total, with 13B activated per token using 64 experts, balancing capacity and computational efficiency.
• Revolutionary Diffusion Architecture: Enhanced diffusion transformer ensures detailed, coherent, high-resolution images.
• Advanced Compression VAE: Compresses image features effectively, reducing computational costs while improving visual fidelity.
• Enhanced Dual Encoder System: Integrates vision and text encoders tightly for superior semantic understanding and alignment.
• Prompt Enhancement Module: Automatically refines user prompts to optimize generation quality and accuracy.
• Multi-language Support: Character-aware processing supports Chinese and English prompts fluently.
• Flexible Aspect Ratios: Supports 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 ratios for varied creative needs.

API Pricing

• $0.105 per megapixel

Use Cases

• Marketing and advertising visuals with photorealistic quality
• Diverse artistic exploration: watercolor, oil painting, anime, surrealism, cyberpunk
• Character design and animation frames with expressive detail
• Educational visuals and comics with fine textual consistency
• Visual prototyping for product design and digital twins

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Code Sample

Comparison with Other Models

vs Seedream 4.0: HunyuanImage 3.0 offers a larger scale with 80 billion parameters utilizing a Mixture of Experts architecture, compared to Seedream 4.0’s approximately 50 billion. HunyuanImage supports Chinese and English prompts more fluently, while Seedream primarily focuses on English. Both deliver high-fidelity images, but HunyuanImage excels in prompt adherence and multi-aspect ratio support.

vs Gemini 2.5 Flash Image: HunyuanImage 3.0’s large-scale MoE model creates hyper-realistic and diverse artistic styles, whereas Gemini 2.5 leans more towards artistic, stylized outputs and is smaller in parameter size (~30B). HunyuanImage supports dual-language input and flexible resolutions, providing greater versatility for varied use cases compared to Nano Banana’s more limited language and aspect ratio options.

vs GPT-Image: Both models employ diffusion architectures, but HunyuanImage 3.0 integrates a large multimodal MoE LLM backbone enhancing text-image alignment. GPT-Image typically delivers general quality images with moderate prompt adherence, while HunyuanImage systematically optimizes prompts and uses a two-stage pipeline to improve clarity and detail. HunyuanImage also supports multilingual prompts and multiple aspect ratios, expanding creative possibilities over GPT-Image’s more basic output formats.

API Integration

Accessible via AI/ML API. Documentation: available here.

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