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MOSS image generation model tips for better photo results

By PulseAugur Editorial · [1 sources] ·

This post offers a compilation of tips for users of the MOSS image generation model, focusing on optimizing results. It suggests using the Base model for greater flexibility and exploring various Turbo/DMD Lora versions that are compatible with different MOSS model types. The advice also covers sampler/scheduler combinations, optimal strength settings for Loras, and adjusting CFG values for Turbo/DMD modes. Additionally, it recommends experimenting with Uncond skip (SLG) node values and end_percent settings, rephrasing prompts when the model struggles, and utilizing higher resolutions for improved image quality. AI

IMPACT Provides practical advice for users to improve their image generation results with the MOSS model.

RANK_REASON User-generated tips and tricks for an existing AI model.

Read on r/StableDiffusion →

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

MOSS image generation model tips for better photo results

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COVERAGE [1]

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

    A few tips for MOSS

    <!-- SC_OFF --><div class="md"><p>There were quite a few different posts about MOSS last week, so I tried to compile some general tips for taking better photos:</p> <p>- The Base model is more flexible and versatile, while the SFT is more rigid.</p> <p>- There are several types o…

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