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English(EN) Having bad ref2va quality compared to fl2va? Try this node

ComfyUI节点通过与fl2va融合提升Ref2VA模型质量

一位Reddit用户为ComfyUI(一个流行的Stable Diffusion界面)开发了一个自定义节点,以提高Ref2VA模型的质量。该用户发现,尽管Ref2VA与fl2va模型共享相同的架构,但其生成结果的质量却不如fl2va。通过将Ref2VA的特定张量块选择性地叠加到fl2va基础模型上,新节点旨在保留或增强fl2va的质量,同时保留Ref2VA的参考能力。开发者建议使用Ref2VA的30-49块,并反对使用早期块,因为发现它们会降低质量。 AI

影响 为特定Stable Diffusion模型用户提供了潜在的质量改进。

排序理由 为现有AI模型开发的、用户开发的工具。

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节点通过与fl2va融合提升Ref2VA模型质量

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报道来源 [1]

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

    与 fl2va 相比 ref2va 质量不佳?试试这个节点

    <!-- SC_OFF --><div class="md"><p>I noticed when using the ref2va model, the audio and visual quality compared to fl2va was <em>way</em> worse. Which didn't make sense to me, as the models share the exact same architecture.</p> <p>In fact (and you can try this), if you take the <…