English(EN) People claiming to train a LoRA in 30 mins or less locally...you're lying right?

用户质疑本地快速训练LoRA（用于Stable Diffusion）的说法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 22:44

Reddit上的用户正在质疑在本地30分钟内为Stable Diffusion等模型训练LoRA（低秩适应）的说法。一位拥有丰富LoRA训练经验的用户表示，要获得真实的相似度，通常需要对12-20张图片的训练集进行3000-6000步的训练。他们怀疑快速训练的说法可能涉及租用高端硬件、纯属捏造，或者接受只有模糊相似度的结果。 AI

影响凸显了用户对本地AI模型微调效率的怀疑。

排序理由用户讨论和质疑技术声明，而非新发布或开发。

在 r/StableDiffusion 阅读 →

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Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
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报道来源 [1]

r/StableDiffusion TIER_2 English(EN) · /u/the_bollo · 2026-10-19 22:44

声称本地30分钟内训练出LoRA的人……你们在撒谎，对吧？

<div class="md"><p>I keep seeing this comment, most recently with regard to MOSS, and it just doesn't compute for me. Over the past 3 years I've trained hundreds of LoRAs across image/video/audio models and I always need to run my image LoRAs for 3k-6k steps (for a…

本文如何被排名

报道来源 [1]

声称本地30分钟内训练出LoRA的人……你们在撒谎，对吧？

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