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license: other | |
license_name: tencent-hunyuan-community | |
license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt | |
language: | |
- en | |
<!-- ## **HunyuanDiT** --> | |
<p align="center"> | |
<img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/logo.png" height=100> | |
</p> | |
# 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 distilled Hunyuan-DiT in 🤗 [Diffusers](https://github.com/huggingface/diffusers) format. | |
It supports 25-step text-to-image generation. | |
## Dependency | |
Please install PyTorch first, following the instruction in [https://pytorch.org](https://pytorch.org) | |
Install the latest version of transformers with `pip`: | |
``` | |
pip install --upgrade transformers | |
``` | |
Then 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-v1.1-Diffusers-Distilled", 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. | |
<p align="center"> | |
<table> | |
<thead> | |
<tr> | |
<th rowspan="2">Model</th> <th rowspan="2">Open Source</th> <th>Text-Image Consistency (%)</th> <th>Excluding AI Artifacts (%)</th> <th>Subject Clarity (%)</th> <th rowspan="2">Aesthetics (%)</th> <th rowspan="2">Overall (%)</th> | |
</tr> | |
</thead> | |
<tbody> | |
<tr> | |
<td>SDXL</td> <td> ✔ </td> <td>64.3</td> <td>60.6</td> <td>91.1</td> <td>76.3</td> <td>42.7</td> | |
</tr> | |
<tr> | |
<td>PixArt-α</td> <td> ✔</td> <td>68.3</td> <td>60.9</td> <td>93.2</td> <td>77.5</td> <td>45.5</td> | |
</tr> | |
<tr> | |
<td>Playground 2.5</td> <td>✔</td> <td>71.9</td> <td>70.8</td> <td>94.9</td> <td>83.3</td> <td>54.3</td> | |
</tr> | |
<tr> | |
<td>SD 3</td> <td>✘</td> <td>77.1</td> <td>69.3</td> <td>94.6</td> <td>82.5</td> <td>56.7</td> | |
</tr> | |
<tr> | |
<td>MidJourney v6</td><td>✘</td> <td>73.5</td> <td>80.2</td> <td>93.5</td> <td>87.2</td> <td>63.3</td> | |
</tr> | |
<tr> | |
<td>DALL-E 3</td><td>✘</td> <td>83.9</td> <td>80.3</td> <td>96.5</td> <td>89.4</td> <td>71.0</td> | |
</tr> | |
<tr style="font-weight: bold; background-color: #f2f2f2;"> | |
<td>Hunyuan-DiT</td><td>✔</td> <td>74.2</td> <td>74.3</td> <td>95.4</td> <td>86.6</td> <td>59.0</td> | |
</tr> | |
</tbody> | |
</table> | |
</p> | |
## 🎥 Visualization | |
* **Chinese Elements** | |
<p align="center"> | |
<img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/chinese elements understanding.png" height=220> | |
</p> | |
* **Long Text Input** | |
<p align="center"> | |
<img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/long text understanding.png" height=310> | |
</p> | |
## 🔥🔥🔥 Tencent Hunyuan Bot | |
Welcome to [Tencent Hunyuan Bot](https://hunyuan.tencent.com/bot/chat), where you can explore our innovative products in multi-round conversation! |