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ComfyUI sampler noise adjustment yields minor gains, not reliably detectable

By PulseAugur Editorial · [1 sources] ·

A user conducted an experiment using a custom ComfyUI sampler node to investigate whether adjusting noise strength per step could improve image generation quality. The tests, performed on models like Flux 3 Klein, MOSS-Image, and Anima, revealed that while adapting noise based on the solver's error estimate showed a minor improvement for Flux 3 Klein, a fixed schedule yielded similar results. Human evaluation indicated that these subtle changes were not reliably detectable by observers. AI

IMPACT Minor improvements in image generation texture may be achievable through specific noise scheduling, though these are not easily discernible by human observers.

RANK_REASON User-conducted research on image generation techniques. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ComfyUI sampler noise adjustment yields minor gains, not reliably detectable

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User-conducted research on image generation techniques. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/YakovSava ·

    I tested whether a ComfyUI sampler can pick its own noise strength per step. Mostly it can't, but where the noise goes matters (Flux 3 Klein, MOSS-Image, Anima)

    <!-- SC_OFF --><div class="md"><p>I wrote a ComfyUI sampler node (<code>Flow-SDE Sampler</code>, a modified SA-Solver) that spends a fixed total noise budget over the steps instead of using a constant <code>eta</code> in a fixed window, and tested whether choosing the per-step no…

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