A beginner's guide to the Hunyuan-Image-3 model by Tencent on Replicate

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This is a simplified guide to an AI model called Hunyuan-Image-3 maintained by Tencent. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

The hunyuan-image-3 represents a major advancement in AI image generation, developed by tencent. This powerful native multimodal model unifies multimodal understanding and generation within a single autoregressive framework, distinguishing it from traditional diffusion-based approaches. With over 80 billion total parameters and 13 billion activated per token, it stands as the largest open-source image generation Mixture-of-Experts (MoE) model available. Unlike its predecessor hunyuan-image-2.1 which generates 2K resolution images, this version delivers superior performance through its unified architecture and advanced reasoning capabilities. The model builds upon the foundation established by hunyuandit-v1.1, incorporating fine-grained understanding within a more sophisticated framework.

Model inputs and outputs

This model transforms text descriptions into high-quality images with remarkable precision and creative interpretation. The system accepts natural language prompts and produces photorealistic imagery with exceptional attention to detail and context understanding.

Inputs

prompt: Text description for the desired image content
aspect_ratio: Choose from multiple ratios including 1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21
go_fast: Enable performance optimizations for faster generation
seed: Optional random seed for reproducible results
output_format: Select webp, jpg, or png format
output_quality: Control image quality from 0-100
disable_safety_checker: Option to bypass content filtering