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README.md
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# TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance (ICCV 2025)
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<p align="center">
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TeEFusion is a simple yet powerful distillation method that fuses classifier-free guidance directly into text embeddings, enabling student models to mimic complex teacher sampling strategies with a single forward pass—achieving up to 6× faster inference without sacrificing image quality .
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<figure>
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<img src="
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<figcaption style="text-align: center;">The overview of TeEFusion</figcaption>
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</figure>
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---
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license: cc-by-nc-4.0
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language:
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- en
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base_model:
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- stabilityai/stable-diffusion-3-medium
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library_name: diffusers
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tags:
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- text-to-image
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---
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# TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance (ICCV 2025)
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<p align="center">
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TeEFusion is a simple yet powerful distillation method that fuses classifier-free guidance directly into text embeddings, enabling student models to mimic complex teacher sampling strategies with a single forward pass—achieving up to 6× faster inference without sacrificing image quality .
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<figure>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/636f4c6b5d2050767e4a1491/jru_aDi--bD0WsPi5qqrY.png" alt="The overview of TeEFusion">
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<figcaption style="text-align: center;">The overview of TeEFusion</figcaption>
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</figure>
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