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Users question rapid local LoRA training claims for Stable Diffusion

Users on Reddit are questioning claims of training LoRAs (Low-Rank Adaptation) for models like Stable Diffusion in under 30 minutes locally. One user, with extensive experience training LoRAs, states that achieving a true likeness typically requires 3,000-6,000 steps for a dataset of 12-20 images. They suspect that fast training claims might involve renting high-end hardware, outright falsehoods, or accepting results with only a vague likeness. AI

IMPACT Highlights user skepticism around the efficiency of local AI model fine-tuning.

RANK_REASON User discussion and questioning of technical claims, rather than a new release or development.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Users question rapid local LoRA training claims for Stable Diffusion

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3 / 100
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User discussion and questioning of technical claims, rather than a new release or development.
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

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

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

    <!-- SC_OFF --><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…