Model reference · open weights
HunyuanImage-3.0 is an open-weight image model from tencent. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | tencent |
|---|---|
| Type | Image models |
| Task | Image edit |
| Parameters (lead) | 83.0B |
| Released | 2025-09-25 |
| Popularity | 19k downloads / month |
| Licence | Commercial licence needed |
About
💻 Official website(官网) Try our model!  
If you develop/use HunyuanImage-3.0 in your projects, welcome to let us know.
HunyuanImage-3.0 is a groundbreaking native multimodal model that unifies multimodal understanding and generation within an autoregressive framework. Our text-to-image and image-to-image model achieves performance comparable to or surpassing leading closed-source models.
🧠 Unified Multimodal Architecture: Moving beyond the prevalent DiT-based architectures, HunyuanImage-3.0 employs a unified autoregressive framework. This design enables a more direct and integrated modeling of text and image modalities, leading to surprisingly effective and contextually rich image generation.
🏆 The Largest Image Generation MoE Model: This is the largest open-source image generation Mixture of Experts (MoE) model to date. It features 64 experts and a total of 80 billion parameters, with 13 billion activated per token, significantly enhancing its capacity and performance.
🎨 Superior Image Generation Performance: Through rigorous dataset curation and advanced reinforcement learning post-training, we've achieved an optimal balance between semantic accuracy and visual excellence. The model demonstrates exceptional prompt adherence while delivering photorealistic imagery with stunning aesthetic quality and fine-grained details.
💭 Intelligent Image Understanding and World-Knowledge Reasoning: The unified multimodal architecture endows HunyuanImage-3.0 with powerful reasoning capabilities. It under stands user's input image, and leverages its extensive world knowledge to intelligently interpret user intent, automatically elaborating on sparse prompts with contextually appropriate details to produce superior, more complete visual outputs.
# 1. First install PyTorch (CUDA 12.8 Version)
pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128
# 2. Install tFrom the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys hunyuanimage-3-0 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (hunyuanimage-3-0 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"hunyuanimage-3-0","prompt":"a red bicycle","size":"1024x1024"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.