Tencent-Hunyuan/HunyuanImage-3.0

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3279 stars · 191 forks observed · 2026-09-30

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HunyuanImage-3.0 is Tencent's open-source native multimodal model for text-to-image and image-to-image generation, with inference code and model weights on HuggingFace. It includes an Instruct variant with reasoning-based prompt enhancement and a distilled checkpoint for faster 8-step sampling, plus vLLM-accelerated inference.

Use cases

• generate images from text prompts
• edit images with instruction-based image-to-image generation
• run a powerful open-source text-to-image model locally on GPUs
• speed up image generation inference with vLLM
• use a distilled model for fast few-step image sampling
• enhance prompts automatically with a reasoning-capable image model

When to choose

• you need state-of-the-art open-weight text-to-image generation
• you want instruction-based image editing in one multimodal model
• you have GPU resources and want local, self-hosted image generation
• you need fast inference via distilled checkpoints or vLLM

When to avoid

• you lack a high-memory GPU, as the model is very large
• you need a permissively licensed model for commercial embedding without checking the custom license
• you only need lightweight or CPU-only image generation

Facets

library · maturity active

image-processing machine-learning deep-learning llm-inference artificial-intelligence image-processing deep-learning large-language-models python image-generation text-to-image multimodal-model diffusion vllm huggingface gpu linux

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