# Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

**Authors:** Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen  
**arXiv:** [2404.07724](https://arxiv.org/abs/2404.07724)  
**Date:** 2024-04-11  
**Summary page:** https://www.summarizepaper.com/en/paper/2404.07724v1/

## Key points

- Authors explore the significance of guidance in optimizing image-generating diffusion models
- Proposal to restrict guidance to a specific range of noise levels to improve sample and distribution quality
- Limited guidance interval enhances inference speed and result quality
- Effectiveness demonstrated across various sampler parameters, network architectures, and datasets
- Recommendation to expose the guidance interval as a hyperparameter in all diffusion models using guidance

## Summary

In their paper titled "Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models," authors Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, and Jaakko Lehtinen explore the significance of guidance in optimizing image-generating diffusion models. They propose restricting guidance to a specific range of noise levels to address issues with traditional constant guidance weight usage. This limited guidance interval not only enhances inference speed but also improves result quality. The authors demonstrate the effectiveness of this approach by showcasing its quantitative and qualitative advantages across various sampler parameters, network architectures, and datasets – including the large-scale setting of Stable Diffusion XL. As a result of their findings, they recommend exposing the guidance interval as a hyperparameter in all diffusion models that utilize guidance. Overall, their research highlights how applying guidance within a limited interval can effectively enhance sample and distribution quality in diffusion models while optimizing performance outcomes across different experimental settings.