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English(EN) Has anyone successfully trained a YuE2 LoRA or LoKR on an NVIDIA GPU with 16GB VRAM?

用户寻求关于在16GB显存上训练YuE2 LoRA/LoKR的建议

一位Reddit用户正在寻求关于在拥有16GB显存的NVIDIA GPU上训练YuE2 LoRA或LoKR模型是否可行的实际建议。他们特别关注真实世界的经验,并详细说明了他们使用大约64个音频片段的数据集来训练音乐生成模型的目标。用户正在询问关于GPU型号、训练工具、数据集大小、训练步数、时长、峰值显存使用量以及训练过程的成功情况,包括是否需要内存节省技术等具体细节。 AI

排序理由 用户在论坛上生成的内容,寻求技术建议,而非主要来源的公告或重要的行业事件。

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 →

用户寻求关于在16GB显存上训练YuE2 LoRA/LoKR的建议

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报道来源 [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Infamous-Draft4587 ·

    有人成功在16GB显存的NVIDIA GPU上训练了YuE2 LoRA或LoKR吗?

    <!-- SC_OFF --><div class="md"><p>Hi everyone! I'm looking for real-world experience with training LoRA or LoKR adapters for YuE2 on an NVIDIA GPU with 16GB VRAM, particularly an RTX 5060 Ti 16GB or a similar card. My goal is to train a music using a dataset of approximately 64 a…