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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