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LatestTencent3.0-Instruct
TencentText → Image

Tencent Debuts HunyuanImage 3.0 with MoE Design

The new text-to-image generator from the Chinese tech giant uses a Mixture-of-Experts architecture for more efficient and detailed image creation.

Sep 25, 2025
NotableOther
HunyuanImage 3.0 Instruct

Tencent has released HunyuanImage 3.0 Instruct, a new text-to-image model that brings an architectural design more commonly seen in large language models to the world of image generation. The model is part of the company's Hunyuan series and is now available for researchers and developers to explore.

An Expert Approach to Pixels

The key innovation in HunyuanImage 3.0 is its use of a Mixture-of-Experts (MoE) framework. This allows the model to activate only the most relevant parts of its network for a given task, potentially leading to more efficient processing and higher-quality outputs. By combining this with an instruction-tuned approach, the model is designed to better understand and execute complex, multi-part prompts.

The model's architecture is built on a transformer backbone called Hunyuan-DiT. According to Tencent's release notes, this enables strong performance in areas like following detailed instructions and even engaging in multi-turn, dialogue-based image creation, making the generation process more conversational.

While the weights are publicly accessible on the Hugging Face Hub, they are released under a custom license. Users should review the specific terms of the "Hunyuan-Image-3.0-Instruct License Agreement" before using the model in their projects. This release marks another significant entry from a major tech firm into the open-weights AI landscape, pushing new architectures into different modalities.

Sources

  • tencent/HunyuanImage-3.0-Instruct

    Hugging Face

    Visit
OlderTencent Releases HunyuanImage 3.0 Text-to-Image ModelTencent · Text → Image · last yearNewerByteDance Releases Lynx for Identity-Preserving VideoByteDance · Image → Video · last year

Get the model

Hugging Face

Specs

Size168.5 GB
PrecisionBF16
ArchitectureHunyuanImage3ForCausalMM
LicenseOTHER
Downloads1.3K
Likes1.2K

Can you run it?

Needs a workstation GPU (96 GB) at FP8.

  • BF16 (as published)

    4×H100 80 GB · 512 GB Mac Studio

    169.5 GB
  • FP8

    H200 141 GB or 2×80 GB · 192 GB Mac Studio

    84 GB
Your machine
  • Mixture-of-experts: all 83B parameters must be resident even though only 13B are active per token — active count affects speed, not memory.
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Image
2 versions — view changelog

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