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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
<!-- Replace the content tag with appropriate information -->
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<title>RAAG</title>
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<div class="container is-max-desktop">
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<div class="column has-text-centered">
<h1 class="title is-1 publication-title">RAAG: Ratio Aware Adaptive Guidance</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="https://github.com/zhushangwen" target="_blank">Shangwen Zhu</a><sup>1*</sup>,</span>
<span class="author-block">
<a href="https://github.com/xiaomomy" target="_blank">Qianyu Peng</a><sup>1*</sup>,</span>
<span class="author-block">
<a href="THIRD AUTHOR PERSONAL LINK" target="_blank">Yuting Hu</a><sup>1</sup>,</span>
<span class="author-block">
<a href="4 AUTHOR PERSONAL LINK" target="_blank">Zhantao Yang</a><sup>1</sup>,</span>
<span class="author-block">
<a href="4 AUTHOR PERSONAL LINK" target="_blank">Han Zhang</a><sup>1</sup>,</span>
<span class="author-block">
<a href="5 AUTHOR PERSONAL LINK" target="_blank">Zhao Pu</a><sup>1</sup>,</span>
<span class="author-block">
<a href="5 AUTHOR PERSONAL LINK" target="_blank">Ruili Feng</a><sup>2</sup>,</span>
<span class="author-block">
<a href="5 AUTHOR PERSONAL LINK" target="_blank">Fan Cheng</a><sup>1†</sup></span>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">
<sup>1</sup>Shanghai Jiao Tong University<br>
<sup>2</sup>University of Waterloo<br>
</span>
<div style="text-align: center; margin-top: 1em;">2025</div>
<span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
<span class="corr-author"><small><br><sup>†</sup>Corresponding Author</small></span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
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class="external-link button is-normal is-rounded is-dark">
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</span>
<span>Paper</span>
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</span>
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class="external-link button is-normal is-rounded is-dark">
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</a>
</span> -->
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<!-- <span class="link-block">
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class="external-link button is-normal is-rounded is-dark">
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<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span> -->
<!-- ArXiv abstract Link -->
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class="external-link button is-normal is-rounded is-dark">
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<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span> -->
<!-- <span class="link-block">
<a href="https://colab.research.google.com/drive/1h0SM3dp7oUzjBdahmwEcJn9RCq2gryD1#scrollTo=q7u54mHpyU4T"
target="_blank"
class="external-link button is-normal is-rounded"
style="background-color: black; color: white; border-color: #F9AB00;">
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alt="Colab"
style="height: 1em; vertical-align: middle;"> 官方Colab图标
</span> -->
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<div id="results-carousel">
<!-- 第一行6张图 - 缩小横向间距 -->
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<center>
<img src="static/images/sd35/org10/0.png" alt="Image 1"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/sd35/org30/0.png" alt="Image 2"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/sd35/ours10/0.png" alt="Image 3"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/sd35/org10/34.png" alt="Image 4"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/sd35/org30/34.png" alt="Image 5"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/sd35/ours10/34.png" alt="Image 6"/>
</center>
</div>
</div>
<!-- 第二行6张图 - 缩小横向间距 -->
<div class="columns is-centered is-gapless" style="margin-bottom: 0.5em;"> <!-- 缩小行间距 -->
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/lumina/org10/21.png" alt="Image 7"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/lumina/org30/21.png" alt="Image 8"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/lumina/ours10/21.png" alt="Image 9"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/lumina/org10/30.png" alt="Image 10"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/lumina/org30/30.png" alt="Image 11"/>
</center>
</div>
<div class="column is-one-sixth" style="padding: 0.1rem;">
<center>
<img src="static/images/lumina/ours10/30.png" alt="Image 12"/>
</center>
</div>
</div>
<h2 class="subtitle is-6 has-text-centered" style="margin-top: 1em; color: gray; font-size: medium;">
Results on Stable Diffusion v3.5 (upper) and Lumina-Next (lower). Left: Baseline with 10 steps. Middle: Baseline with 30 steps. Right: RAAG with 10 steps.
</h2>
</div>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<!-- 第一行:两个 GIF -->
<div class="columns is-centered">
<div class="column is-half">
<div class="item">
<center>
<img src="static/images/org10.gif" alt="GIF 1"/>
</center>
</div>
</div>
<div class="column is-half">
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<center>
<img src="static/images/org.gif" alt="GIF 2"/>
</center>
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</div>
</div>
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<center>
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<center>
<img src="static/images/rg.gif" alt="GIF 4"/>
</center>
</div>
</div>
</div>
<h2 class="subtitle is-6 has-text-centered" style="margin-top: 1em; color: gray; font-size: medium;">
Results comparison: WAN2.1-14B (left) vs WAN2.1-1.4B (right). Top row: original videos; Bottom row: RAAG-processed.
</h2>
</div>
</div>
</section>
<!-- Teaser video-->
<!-- <section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<video poster="" id="tree" autoplay controls muted loop height="100%">
<source src="static/images/example.png"
type="video/mp4">
</video>
<h2 class="subtitle has-text-centered">
LTC-Accel is a training-free acceleration method by identifying Local Local Transition Coherence and approximating
certain steps to reduce redundant computations.
It is both efficient and widely compatible with various models and schedulers.
</h2>
</div>
</div>
</section> -->
<!-- End teaser video -->
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
Flow-based generative models have recently achieved remarkable progress in
image and video synthesis, with classifier-free guidance (CFG) becoming the
standard tool for high-fidelity, controllable generation. However, despite
their practical success, little is known about how guidance interacts with
different stages of the sampling process-especially in the fast, low-step
regimes typical of modern flow-based pipelines. In this work, we uncover
and analyze a fundamental instability: the earliest reverse steps are
acutely sensitive to the guidance scale, owing to a pronounced spike in the
relative strength (RATIO) of conditional to unconditional predictions.
Through rigorous theoretical analysis and empirical validation, we show that
this RATIO spike is intrinsic to the data distribution, independent of the model
architecture, and causes exponential error amplification when paired with strong
guidance. To address this, we propose a simple, theoretically grounded,
RATIO-aware adaptive guidance schedule that automatically dampens the guidance scale
at early steps based on the evolving RATIO, using a closed-form exponential decay.
Our method is lightweight, requires no additional inference overhead, and is
compatible with standard flow frameworks. Experiments across state-of-the-art image
(SD3.5, Lumina) and video (WAN2.1) models demonstrate that our approach enables up
to 3x faster sampling while maintaining or improving generation quality,
robustness, and semantic alignment. Extensive ablation studies further confirm the
generality and stability of our schedule across models, datasets, and hyperparameters. Our findings highlight the critical role of stepwise guidance adaptation in unlocking the full potential of fast flow-based generative models.
</p>
<b>Keywords: Rectified Flow, Classifier-Free Guidance, Early-Step Instability</b>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<div class="columns is-centered has-text-centered">
<h2 class="title is-3">Method Overview<br></h2>
</div>
<div class="columns" style="margin-top: 1.5em;">
<div class="column" style="padding-left: 15rem; color: black; font-size: medium;">
<h4>Our method is based on the key concept RATIO, defined as the relative strength of conditional to uncondtional predictions:</h4>
</div>
</div>
<div class="item" style="margin-top: 1.5em">
<center>
<img src="static/images/def_ratio.png" alt="MY ALT TEXT" width="900"/>
</center>
</div>
<h3 class="subtitle is-6 has-text-centered" style="margin-top: 1.5em; color: gray; font-size: medium;"">
Definition of RATIO.
</h3>
<div class="columns" style="margin-top: 1.5em;">
<div class="column" style="padding-left: 15rem; color: black; font-size: medium;">
<h4>RAAG provides a dynamic guidance schedule adaptive to RATIO at each step as follows:</h4>
</div>
</div>
<div class="item" style="margin-top: 1.5em">
<center>
<img src="static/images/method.png" alt="MY ALT TEXT" width="400"/>
</center>
</div>
<h3 class="subtitle is-6 has-text-centered" style="margin-top: 1.5em; color: gray; font-size: medium;"">
A concise illustration of RAAG's procedure.
</h3>
</div>
</div>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<div class="columns is-centered has-text-centered">
<h2 class="title is-3">Results<br></h2>
</div>
<div class="columns is-centered has-text-centered" style="margin-top: 1.5em; margin-bottom: 1.5em; color: black; font-size: medium;">
<h3> The original images are depicted in the first (10-step) and second (30-step) row, and the images by RAAG (10-step) are shown in the bottom.</h3>
</div>
<div id="results-carousel">
<div class="item">
<!-- Your image here -->
<center>
<img src="static/images/sd35_display.png" style="width: 80%;" alt="MY ALT TEXT"/>
</center>
<h4 class="subtitle is-6 has-text-centered" style="margin-top: 0.5em; margin-bottom: 1.5em;">
Stable Diffusion v3.5.
</h4>
</div>
<div id="results-carousel">
<div class="item">
<!-- Your image here -->
<center>
<img src="static/images/lumina_display.png" style="width: 80%;" alt="MY ALT TEXT"/>
</center>
<h4 class="subtitle is-6 has-text-centered" style="margin-top: 0.5em; margin-bottom: 1.5em;">
Lumina-Next.
</h4>
</div>
</div>
</div>
</div>
</section>
<!-- Image carousel -->
<!-- <section class="hero is-small">
<div class="hero-body">
<div class="columns is-centered has-text-centered">
<h2 class="title is-3">Results<br></h2>
</div>
<div class="container">
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<img src="static/images/img_res.png" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
These images are generated by EDM based on Stable Diffusion v3.5.
Specifically, the first column presents images generated from 8-step
LTC-Accel accelerated from the 12-step original sampling process,
while the second and the third column are generated from 8-step and
12-step original sampling process.
</h2>
</div>
<div class="item">
<img src="static/images/video_res.png" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
These images are generated by DeepCache based on Stable Diffusion v2.
Specifically, the first column presents images generated from the
50-step original sampling process,
while the second and the third column are generated from 50-step
DeepCache and 38-step DeepCache accelerated by LTC-Accel.
</h2>
</div>
<div class="item">
<img src="static/images/example3.png" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
3-step generation on Animated-Diff-Lightning
accelerated by LTC-Accel.
</h2>
</div>
<div class="item">
<img src="static/images/example4.png" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
These images are generated by Align Your Steps based on Stable Diffusion v1.5.
Specifically, the first column presents images generated from the
8-step sampling process accelerated by Align Your Steps and LTC-Accel,
while the second and the third column are generated from 10-step
Align Your Steps and original sampling process.
</h2>
</div>
</div>
</div>
</div>
</section> -->
<!-- End image carousel -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>
@article{zhu2025raag,
title={RAAG: Ratio Aware Adaptive Guidance},
author={Zhu, Shangwen and Peng, Qianyu and Hu, Yuting and Yang, Zhantao and Zhang, Han and Pu, Zhao and Feng, Ruili and Cheng, Fan},
journal={arXiv preprint arXiv:2508.03442},
year={2025}
}
</code></pre>
</div>
</section>
<!-- Youtube video -->
<!--
<section class="hero is-small is-light">
<div class="hero-body">
<div class="container">
<h2 class="title is-3">Video Presentation</h2>
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<div class="publication-video">
<iframe src="https://www.youtube.com/embed/JkaxUblCGz0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
</div>
</div>
</div>
</div>
</div>
</section>
-->
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