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English(EN) Fail to train H3-Image LoRa in AI-Toolkit

用户在 AI_Toolkit 中训练 H3-Image LoRa 模型遇到困难

Reddit 的 r/StableDiffusion 版块的一名用户在使用 AI_Toolkit 训练 H3-Image LoRa 模型时遇到了困难。尽管之前成功训练了许多 LoRAs,但这次尝试导致了明显的块状伪影。用户怀疑其 GPU 的 16GB VRAM 和 W4A8 量化可能是一个因素,并正在尝试不同的训练设置,如 Sigmoid 和 Shift。 AI

影响 此问题突显了在有限硬件资源下训练特定 AI 模型可能存在的局限性或挑战。

排序理由 用户报告的与特定工具和模型相关的问题。

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 →

用户在 AI_Toolkit 中训练 H3-Image LoRa 模型遇到困难

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报道来源 [1]

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

    在AI-Toolkit中训练H3-Image LoRa失败

    <!-- SC_OFF --><div class="md"><p>Just for context, I trained 100's of LoRa's in the past for all kinds of models, but this time it does not work. Since I have a GPU with &quot;only&quot; 16GB VRAM and 64 GB SYS RAM I have to use W4A8 quantization to not get OOM. The resulting tr…