English(EN) I'm confused because some people claim that just 600 steps are enough for Krea 2. I need at least around 2,000 to see a resemblance. Does anyone know if the AI Toolkit's default Dim/Rank setting halves the learning rate?

Stable Diffusion 用户对 Krea 训练步数说法感到困惑

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-16 19:57

一位 Reddit 用户正在寻求关于 Krea（可能与 Stable Diffusion 相关的组件）训练过程的澄清。他们对仅需 600 个训练步骤就足够的说法感到困惑，因为他们个人需要大约 2,000 步才能获得明显相似的效果。用户特别想知道 AI Toolkit 的默认 Dim/Rank 设置是否会将学习率减半，因为即使在大量训练和高学习率下，他们也遇到了糟糕的结果。 AI

排序理由 Reddit 上的用户生成内容，询问关于 AI 模型训练特定方面的技术澄清，而非重大的行业事件。

在 r/StableDiffusion 阅读 →

其他

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

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r/StableDiffusion TIER_2 English(EN) · /u/More_Bid_2197 · 2026-07-16 19:57

I'm confused because some people claim that just 600 steps are enough for Krea 2. I need at least around 2,000 to see a resemblance. Does anyone know if the AI Toolkit's default Dim/Rank setting halves the learning rate?

<div class="md">Kohya requires you to choose both dimension and alpha. The AI toolkit UI only shows the rank. Does anyone know if the default alpha is the same as the rank, or is it just half? I use high learning rates like 3e-4, and even after 2…

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I'm confused because some people claim that just 600 steps are enough for Krea 2. I need at least around 2,000 to see a resemblance. Does anyone know if the AI ​​Toolkit's default Dim/Rank setting halves the learning rate?

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I'm confused because some people claim that just 600 steps are enough for Krea 2. I need at least around 2,000 to see a resemblance. Does anyone know if the AI Toolkit's default Dim/Rank setting halves the learning rate?