HunyuanDiT

Bilingual text-to-image diffusion transformer by Tencent with Chinese and English support.

Open SourceSelf HostedOffline CapableGPU Required (12GB+ VRAM)
0.0 (0)

About

Hunyuan-DiT is Tencent's open text-to-image diffusion transformer, notable for fine-grained understanding of both Chinese and English prompts. It runs diffusion in latent space with a transformer backbone and a pretrained VAE, encoding text through a combination of bilingual CLIP and multilingual T5, with captions refined by a dedicated multimodal language model for better semantic alignment. The main v1.2 release has 1.5 billion parameters, joined by distilled checkpoints with roughly 50 percent faster inference and a smaller 0.7B HunyuanDiT-S variant. Multi-turn conversational generation lets users refine an image iteratively through dialogue. LoRA fine-tuning and ControlNet adapters are supported, and the model is usable through Hugging Face Diffusers, ComfyUI, and a Gradio interface. Generation needs about 11 GB of GPU VRAM at minimum. The weights are distributed under the Tencent Hunyuan Community License, and community checkpoints extend it to domains like anime and inpainting.

Should you use HunyuanDiT?

Pick it when

Pick HunyuanDiT when prompts arrive in Chinese or mixed Chinese and English and you want fine-grained understanding of them in a 1.5B model with LoRA, ControlNet, and multi-turn refine-by-dialogue on a 12 GB GPU.

Look elsewhere when

Skip it if you need Chinese text drawn inside images or a permissive license: CogView4 and Z-Image render Chinese characters under Apache-2.0, while HunyuanDiT ships under the Tencent Hunyuan Community License.

Alternatives to HunyuanDiT

  • Kolors

    Also bilingual, renders Chinese characters, and has IP-Adapter, FaceID, and ControlNet add-ons on about 8 GB, but larger commercial use needs registration.

  • CogView4

    Apache-2.0 and draws Chinese characters natively with 1024-token prompts, but needs about 13 GB with offload and 32 GB of system RAM.

  • Z-Image

    Apache-2.0 6B model with Chinese and English text rendering and a fast Turbo variant, at a higher 16 GB VRAM floor.

  • HunyuanImage-3.0

    Tencent's far larger model with reasoning-based prompt expansion and editing, but it needs three or more 80 GB GPUs.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!

Details

Price
Free
Platform
Local/Desktop
Difficulty
Intermediate (3/5)
License
Tencent Community
Minimum VRAM
12 GB
Added
Apr 3, 2026

Tags