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User seeks advice on training YuE2 LoRA/LoKR with 16GB VRAM

A user on Reddit is seeking practical advice regarding the feasibility of training a YuE2 LoRA or LoKR model on an NVIDIA GPU with 16GB of VRAM. They are specifically interested in real-world experiences, detailing their goal to train a music generation model using a dataset of approximately 64 audio clips. The user is asking for specifics on GPU models, training tools, dataset size, training steps, duration, peak VRAM usage, and the success of the training process, including whether memory-saving techniques were necessary. AI

RANK_REASON User-generated content on a forum asking for technical advice, not a primary source announcement or significant industry event.

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User seeks advice on training YuE2 LoRA/LoKR with 16GB VRAM

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User-generated content on a forum asking for technical advice, not a primary source announcement or significant industry event.
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COVERAGE [1]

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

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

    <!-- 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…