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add models

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README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ license_name: tencent-hunyuan-community
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+ license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt
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+ language:
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+ - en
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+ ---
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+ <!-- ## **HunyuanDiT** -->
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+
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/logo.png" height=100>
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+ </p>
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+
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+ # Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
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+ # 混元-DiT: 具有细粒度中文理解的多分辨率Diffusion Transformer
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+
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+ [[Arxiv]](https://arxiv.org/abs/2405.08748) [[project page]](https://dit.hunyuan.tencent.com/) [[github]](https://github.com/Tencent/HunyuanDiT)
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+
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+ This repo contains the pre-trained text-to-image model in 🤗 [Diffusers](https://github.com/huggingface/diffusers) format.
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+
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+ ## Dependency
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+ Please install PyTorch first, following the instruction in [https://pytorch.org](https://pytorch.org)
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+
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+ Install the latest version of transformers with `pip`:
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+ ```
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+ pip install --upgrade transformers
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+ ```
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+
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+ Then install the latest github version of 🤗 Diffusers with `pip`:
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+ ```
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+ pip install git+https://github.com/huggingface/diffusers.git
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+ ```
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+
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+ ## Example Usage with 🤗 Diffusers
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+ ```py
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+ import torch
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+ from diffusers import HunyuanDiTPipeline
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+
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+ pipe = HunyuanDiTPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-Diffusers", torch_dtype=torch.float16)
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+ pipe.to("cuda")
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+
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+ # You may also use English prompt as HunyuanDiT supports both English and Chinese
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+ # prompt = "An astronaut riding a horse"
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+ prompt = "一个宇航员在骑马"
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+ image = pipe(prompt).images[0]
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+ ```
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/646b0bbdec9a61e871799339/xoO_-5N7eZ-aCt4KpBYY6.png)
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+
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+ ## 📈 Comparisons
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+ 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.
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+
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+ <p align="center">
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+ <table>
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+ <thead>
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+ <tr>
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+ <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>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <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>
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+ </tr>
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+ <tr>
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+ <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>
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+ </tr>
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+ <tr>
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+ <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>
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+ </tr>
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+
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+ <tr>
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+ <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>
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+
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+ </tr>
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+ <tr>
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+ <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>
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+ </tr>
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+ <tr>
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+ <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>
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+ </tr>
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+ <tr style="font-weight: bold; background-color: #f2f2f2;">
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+ <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>
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+ </tr>
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+ </tbody>
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+ </table>
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+ </p>
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+
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+ ## 🎥 Visualization
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+
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+ * **Chinese Elements**
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/chinese elements understanding.png" height=220>
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+ </p>
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+
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+ * **Long Text Input**
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+
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+
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+ <p align="center">
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+ <img src="https://raw.githubusercontent.com/Tencent/HunyuanDiT/main/asset/long text understanding.png" height=310>
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+ </p>
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+
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+
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+ ## 🔥🔥🔥 Tencent Hunyuan Bot
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+
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+ Welcome to [Tencent Hunyuan Bot](https://hunyuan.tencent.com/bot/chat), where you can explore our innovative products in multi-round conversation!
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