--- license: other license_name: tencent-hunyuan-community license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt language: - en ---
# Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding # 混元-DiT: 具有细粒度中文理解的多分辨率Diffusion Transformer [[Arxiv]](https://arxiv.org/abs/2405.08748) [[project page]](https://dit.hunyuan.tencent.com/) [[github]](https://github.com/Tencent/HunyuanDiT) This repo contains the pre-trained text-to-image model in 🤗 [Diffusers](https://github.com/huggingface/diffusers) format. ## Dependency Install the latest github version of 🤗 Diffusers with `pip`: ``` pip install git+https://github.com/huggingface/diffusers.git ``` ## Example Usage with 🤗 Diffusers ```py import torch from diffusers import HunyuanDiTPipeline pipe = HunyuanDiTPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-Diffusers", torch_dtype=torch.float16) pipe.to("cuda") # You may also use English prompt as HunyuanDiT supports both English and Chinese # prompt = "An astronaut riding a horse" prompt = "一个宇航员在骑马" image = pipe(prompt).images[0] ``` ![image/png](https://cdn-uploads.huggingface.co/production/uploads/646b0bbdec9a61e871799339/xoO_-5N7eZ-aCt4KpBYY6.png) ## 📈 Comparisons In order to comprehensively compare the generation capabilities of HunyuanDiT and other models, we constructed a 4-dimensional test set, including Text-Image Consistency, Excluding AI Artifacts, Subject Clarity, Aesthetic. More than 50 professional evaluators performs the evaluation.
Model | Open Source | Text-Image Consistency (%) | Excluding AI Artifacts (%) | Subject Clarity (%) | Aesthetics (%) | Overall (%) |
---|---|---|---|---|---|---|
SDXL | ✔ | 64.3 | 60.6 | 91.1 | 76.3 | 42.7 |
PixArt-α | ✔ | 68.3 | 60.9 | 93.2 | 77.5 | 45.5 |
Playground 2.5 | ✔ | 71.9 | 70.8 | 94.9 | 83.3 | 54.3 |
SD 3 | ✘ | 77.1 | 69.3 | 94.6 | 82.5 | 56.7 |
MidJourney v6 | ✘ | 73.5 | 80.2 | 93.5 | 87.2 | 63.3 |
DALL-E 3 | ✘ | 83.9 | 80.3 | 96.5 | 89.4 | 71.0 |
Hunyuan-DiT | ✔ | 74.2 | 74.3 | 95.4 | 86.6 | 59.0 |
* **Long Text Input**
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