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Qwen 2.1 Turbo image generation improved by adjusting sigma values

A Reddit user has shared a method for improving image generation quality with Qwen 2.1 Turbo by adjusting the default sigma values. The user found that the default sigmas resulted in washed-out images with a grid effect, but by changing these values to a custom set, they were able to eliminate the grid effect and enhance details like skin texture. This adjustment was tested on images generated at 2400x1792 resolution with 8 steps using the er_sde sampler, and the user believes the initial sigma of 1.0 might be the primary issue. AI

IMPACT Offers a practical tip for users of Qwen 2.1 Turbo to enhance image generation quality.

RANK_REASON User-shared tip for improving an existing model's output, not a new release or benchmark.

Read on r/StableDiffusion →

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

Qwen 2.1 Turbo image generation improved by adjusting sigma values

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User-shared tip for improving an existing model's output, not a new release or benchmark.
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model release
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COVERAGE [1]

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

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