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Reddit users debate training methodology for Stable Diffusion image models

A discussion on Reddit explores the methodology for training AI image generation models, specifically Stable Diffusion. The core question raised is whether training should occur on de-filtered versions of images to achieve a more accurate starting point for fine-tuning. This approach aims to integrate de-filtering capabilities directly into the training process for LoRAs and checkpoints, rather than applying them post-training. AI

IMPACT This discussion highlights ongoing community efforts to refine AI model training techniques for image generation.

RANK_REASON Reddit discussion about training methodology for an existing AI model.

Read on r/StableDiffusion →

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

Reddit users debate training methodology for Stable Diffusion image models

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Emotional-Neat-252 ·

    Why aren't we training over the de-filtered?

    <!-- SC_OFF --><div class="md"><p>Sorry that this is a bit ignorant given I haven't yet tested Krea but.</p> <p>People are discussing various de-filter loras vs trained loras vs fine-tuned checkpoints.</p> <p>Shouldn't we be training the loras and checkpoints <em>over</em> the de…