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Stable Diffusion users seek to remove censorship artifacts from LoRA training

A user on Reddit is seeking advice on how to train a LoRA model for image generation without the model introducing unwanted censorship, such as black bars or mosaics. The user suspects the training dataset images, which contain censorship, are the cause. They are asking for methods to prepare the dataset or adjust training tags to prevent the model from replicating these censorship artifacts in its output. AI

IMPACT Users are seeking methods to improve the output quality of AI image generation tools by addressing unwanted artifacts.

RANK_REASON User query about improving a specific tool's output.

Read on r/StableDiffusion →

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

COVERAGE [1]

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

    Training LoRA with images containing some kind of censorship. is there a way to improve the output?

    <!-- SC_OFF --><div class="md"><p>I've been training a handful of LoRA on Anima-base 1.0 models, and the results is quite satisfying. However, when I'm trying to generate N__W images, there would be some kind of censorship on the images, like mosaic or black stripes. I think it c…