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Glossary · Sampling & Settings

What Are Steps in ComfyUI?

By Earngenix Team ·

⚡ Quick Answer

Steps is the number of individual denoising passes the sampler runs to turn noise into your finished image or video. Each pass removes a bit of the predicted noise — more steps generally means more refined detail, but only up to a point.

Too few steps leaves the image blurry or unfinished-looking. Too many wastes generation time once the result has already stopped visibly improving.

Where You'll See It

The steps widget sits right on the KSampler node, next to cfg and seed. It's just a plain number field — no dropdown, no separate node.

Quick Example

A distilled, speed-optimized video model might only need 4–6 steps for a clean result. Running that same workflow at 30 steps takes far longer for barely any visible difference, because the model was specifically trained to work in very few passes.

Always check a model's card or documentation for its recommended step range before assuming a "standard" number like 20 or 30 applies — distilled and turbo variants are built around much lower numbers.

Frequently Asked Questions

For a standard (non-distilled) SDXL or Flux-class checkpoint, 20–30 steps is a reasonable starting point. Distilled or "turbo" models are built for far fewer — often 4–8 — and using 30 steps on one of those wastes time without improving the result.

Distilled models are specifically trained to produce a clean result in very few denoising passes, trading a small amount of flexibility for major speed gains. Running them at high step counts doesn’t use that training advantage and just adds wasted computation.

No. Quality improves quickly at first, then plateaus — past a model’s sweet spot, extra steps add generation time without a visible difference, and in rare cases can introduce artifacts instead of removing them.

See It In Action

Want to see all the KSampler settings together?

Our text-to-image tutorial covers steps, CFG, and seed in one workflow.

Published: 2026-09-17 · Last updated: 2026-09-17

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