<h2 id="v2-is-here.">V2 is here.</h2><h1 id="v2-work-on-both-turbo-and-base.">V2 WORK ON BOTH TURBO AND BASE.</h1><h3 id="all-sample-images-was-made-with-single-pass-on-turbo!">ALL SAMPLE IMAGES WAS MADE WITH SINGLE PASS ON TURBO! </h3> This version is now a slider, meaning it preserves facial identity and overall image quality. V2 is trained on the Z-Image base, making it a major upgrade from V1.It supports a wide range from -10 to 15, with best results typically below 10. Because a slider only amplifies what the base model already knows, it’s less extreme than V1—but delivers significantly higher quality.

Z-wedgie - (Base & Turbo)

This was originaly just a test, but it turned out quite good imo. So i released it. This (V1) was trained on a bad dataset so it messes with faces and the general quality of the output. But it has some usecases where other sollutions dont work.

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