---
title: HunyuanDiT-v1.1-Diffusers-Distilled
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/HunyuanDiT-v1.1-Diffusers-Distilled"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/HunyuanDiT-v1.1-Diffusers-Distilled.md"
repository: AI-ModelScope/HunyuanDiT-v1.1-Diffusers-Distilled
last_updated: 2024-11-06
license: other
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
parameters: 3.6B
tensor_type:
  - F32
library_name:
  - pytorch
  - safetensors
  - diffusers
frameworks:
  - pytorch
language:
  - en
downloads: 2895
stars: 4
---

# HunyuanDiT-v1.1-Diffusers-Distilled

> HunyuanDiT-v1.1-Diffusers-Distilled - AI-ModelScope 在 ModelScope 开源的模型。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

AI-ModelScope/HunyuanDiT-v1.1-Diffusers-Distilled 是 ModelScope 魔搭社区上的 3.6B 参数text-to-image-synthesis模型，采用 other 许可。

- **Repository**: AI-ModelScope/HunyuanDiT-v1.1-Diffusers-Distilled
- **License**: other
- **Tasks**: text-to-image-synthesis
- **Parameters**: 3.6B
- **Downloads**: 2895
- **Stars**: 4
- **Last updated**: 2024-11-06

Source: https://www.modelscope.cn/models/AI-ModelScope/HunyuanDiT-v1.1-Diffusers-Distilled

---

<!-- ## **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>&#10008</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>&#10008</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>&#10008</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!