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@@ -11,7 +11,7 @@ base_model:
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  This model is trained on sdxl-turbo based on DPO preference data constructed by our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b) for enhanced image generation quality.
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  For further details, please refer to the following resources:
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- - πŸ“° Paper:
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  - πŸͺ Project Page: https://codegoat24.github.io/UnifiedReward/
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  - πŸ€— Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
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  - πŸ€— Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
@@ -39,5 +39,10 @@ image = pipe(prompt=prompt, num_inference_steps=1, guidance_scale=0.0).images[0]
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  ## Citation
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  ```
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-
 
 
 
 
 
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  ```
 
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  This model is trained on sdxl-turbo based on DPO preference data constructed by our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b) for enhanced image generation quality.
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  For further details, please refer to the following resources:
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+ - πŸ“° Paper: https://arxiv.org/pdf/2503.05236
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  - πŸͺ Project Page: https://codegoat24.github.io/UnifiedReward/
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  - πŸ€— Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
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  - πŸ€— Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
 
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  ## Citation
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  ```
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+ @article{UnifiedReward,
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+ title={Unified Reward Model for Multimodal Understanding and Generation.},
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+ author={Wang, Yibin and Zang, Yuhang, and Li, Hao and Jin, Cheng and Wang Jiaqi},
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+ journal={arXiv preprint arXiv:2503.05236},
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+ year={2025}
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+ }
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  ```