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English(EN) 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)

ComfyUI 采样器错误已修复,负动量可改进扩散模型

一位 Reddit 用户已在 ComfyUI-Extra-Samplers 中识别并修复了 `dpmpp_dualsde_momentumized` 采样器的一个问题,该问题在使用 Anima 等流模型时会导致蓝色污迹或褪色剪影等伪影。问题源于采样器噪声步骤中方差处理不当,而非动量本身。该用户还探讨了扩散采样中“动量”的概念,发现负系数(作为一种外插)可以与 `dpmpp_2m` 等标准采样器相比,降低误差并提高步数效率。 AI

影响 提供了一个技术修复和分析,可能提高扩散模型用户的图像生成质量和效率。

排序理由 用户开发的针对大型 AI 生态系统中特定软件组件的修复和分析。

在 r/StableDiffusion 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

ComfyUI 采样器错误已修复,负动量可改进扩散模型

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报道来源 [1]

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

    为什么 dpmpp_dualsde_momentumized 在 Anima 上绘制蓝色斑点,以及哪种动量实际上有所帮助(负系数:在相同步数下,误差比 dpmpp_2m 低 11-21%)

    <!-- 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…