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ComfyUI sampler bug fixed, negative momentum improves diffusion models

A Reddit user has identified and fixed an issue with the `dpmpp_dualsde_momentumized` sampler in ComfyUI-Extra-Samplers, which was causing artifacts like blue blobs or washed-out silhouettes when used with flow models such as Anima. The problem stemmed from incorrect variance handling in the sampler's noise step, not the momentum itself. The user also explored the concept of "momentum" in diffusion sampling, finding that a negative coefficient, acting as an extrapolation, can reduce error and improve step efficiency compared to standard samplers like `dpmpp_2m`. AI

IMPACT Provides a technical fix and analysis that could improve image generation quality and efficiency for users of diffusion models.

RANK_REASON User-developed fix and analysis of a specific software component within a larger AI ecosystem.

Read on r/StableDiffusion →

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

ComfyUI sampler bug fixed, negative momentum improves diffusion models

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User-developed fix and analysis of a specific software component within a larger AI ecosystem.
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COVERAGE [1]

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

    Why dpmpp_dualsde_momentumized draws a blue blob on Anima, and which kind of momentum actually helps (negative coefficient: 11-21% lower error than dpmpp_2m at the same step count)

    <!-- SC_OFF --><div class="md"><p>If you tried <code>dpmpp_dualsde_momentumized</code> from ComfyUI-Extra-Samplers on a flow model (Anima in my case) and got a washed-out silhouette or colour noise, it is not you. I took it apart.</p> <p><strong>Why it breaks (it is not the momen…