Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
We present Hunyuan-DiT, a text-to-image diffusion transformer with fine-grained understanding of both English and Chinese. To construct Hunyuan-DiT, we carefully design the transformer structure, text encoder, and positional encoding. We also build from scratch a whole data pipeline to update and evaluate data for iterative model optimization. For fine-grained language understanding, we train a Multimodal Large Language Model to refine the captions of the images. Finally, Hunyuan-DiT can perform multi-turn multimodal dialogue with users, generating and refining images according to the context. Through our holistic human evaluation protocol with more than 50 professional human evaluators, Hunyuan-DiT sets a new state-of-the-art in Chinese-to-image generation compared with other open-source models. Code and pretrained models are publicly available at github.com/Tencent/HunyuanDiT
Key facts. Cited by 298 papers in the map (data through 14 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 35 of its 41 references that are in the map. First posted on arXiv 14 May 2024.
Builds on
35 of 41 references.
Closest ancestors · 8
Same direction, newest first
- 2024Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation27 Feb
- 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs22 Jan
- 2023UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs14 Nov
- 2023PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud11 Sep
- 2023AltDiffusion: A Multilingual Text-to-Image Diffusion Model19 Aug
- 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers2 Nov
- 2022Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation18 Oct
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding23 May
Other references · 27
- 2017Attention Is All You Needcited by 60,361
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2014Microsoft COCO: Common Objects in Contextcited by 17,608
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,137
- 2022Scalable Diffusion Models with Transformerscited by 6,054
- 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
- 2023Improved Baselines with Visual Instruction Tuningcited by 4,418
- 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
- 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
15 more
- 2022FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awarenesscited by 3,673
- 2019ZeRO: Memory Optimizations Toward Training Trillion Parameter Modelscited by 1,301
- 2023One-step Diffusion with Distribution Matching Distillationcited by 1,019
- 2023Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inferencecited by 846
- 2023Adversarial Diffusion Distillationcited by 759
- 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 648
- 2023NExT-GPT: Any-to-Any Multimodal LLMcited by 615
- 2022All are Worth Words: A ViT Backbone for Diffusion Modelscited by 502
- 2023InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generationcited by 395
- 2020Query-Key Normalization for Transformerscited by 280
- 2023Making LLaMA SEE and Draw with SEED Tokenizercited by 185
- 2023CapsFusion: Rethinking Image-Text Data at Scalecited by 90
- 2023Matryoshka Diffusion Modelscited by 72
- 2024DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generationcited by 26
- 2024Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Supportcited by 11
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Citing papers per year: 2024: 47; 2025: 170; 2026: 81.
298 papers.
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