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+ ---
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+ pipeline_tag: any-to-any
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+ library_name: transformers
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+ tags:
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+ - text-to-image
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+ - image-editing
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+ - image-understanding
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+ - vision-language
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+ - multimodal
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+ - unified-model
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+ license: mit
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+ ---
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+
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+ # UniPic3-Consistency-Model
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+
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+ <p align="center">
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+ <a href="https://github.com/SkyworkAI/UniPic">GitHub</a> ·
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+ <a href="https://github.com/SkyworkAI/UniPic/stargazers">Stars</a> ·
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+ <a href="https://github.com/SkyworkAI/UniPic/network/members">Forks</a>
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+ </p>
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+
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+ ---
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+
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+ ## Introduction
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+
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+ **UniPic3-Consistency-Model** is a few-step image editing and multi-image composition model based on **Consistency Flow Matching (CM)**.
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+
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+ The model learns a *trajectory-consistent* mapping from noisy latent states to clean images, enabling **stable generation with strong structural consistency**.
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+ It is distilled from **UniPic-3** to support **fast inference (≤8 steps)** while preserving composition correctness.
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+
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+ The model is especially suitable for scenarios requiring **geometric alignment** and **semantic coherence**, such as multi-image composition and human–object interaction (HOI).
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+
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+ ---
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+