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  ## 📖 Introduction
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  <div align="center"> <img src="unipic3.png" alt="Model Teaser" width="720"> </div>
 
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  **UniPic3-DMD-Model** is a few-step image editing and multi-image composition model trained using **Distribution Matching Distillation (DMD)**.
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  The model directly matches the **output distribution of a high-quality teacher model**, enabling sharp, visually detailed generations in very few inference steps.
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  It is designed to maximize **perceptual quality and realism**, closely imitating strong proprietary or large teacher models. This model is initialized from a consistency-trained checkpoint and further refined via distribution-level distillation.
 
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  ## 📖 Introduction
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  <div align="center"> <img src="unipic3.png" alt="Model Teaser" width="720"> </div>
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  **UniPic3-DMD-Model** is a few-step image editing and multi-image composition model trained using **Distribution Matching Distillation (DMD)**.
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  The model directly matches the **output distribution of a high-quality teacher model**, enabling sharp, visually detailed generations in very few inference steps.
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  It is designed to maximize **perceptual quality and realism**, closely imitating strong proprietary or large teacher models. This model is initialized from a consistency-trained checkpoint and further refined via distribution-level distillation.