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Does stacking quality tags actually help?

Does adding masterpiece, best quality and amazing quality make the picture better?

Almost every prompt opens with quality tags. The convention is settled enough that nobody checks it.

This one adds the tokens one at a time. To make it a fair test the quality prefix was cleared and the quality vocabulary was stripped from the negative — otherwise worst quality sits on both sides and cancels itself.

Every cut below shares one seed, one base prompt and one sampler setting, and differs only by the tag marked in amber.

What each cut shows

worst quality
The opposite end of the scale. It does not visibly degrade anything.
masterpiece
The single most-used quality token. Easy to tell from the worst quality cut, with thinner lines and softer shading, though neither has anything broken.
masterpiece, best quality
Two stacked. Still hard to find the difference.
masterpiece, best quality, amazing quality, very awa
The full four. Set beside the first cut, it is hard to say which one was worst quality.

How these were made

Shared prompt

1girl, solo, mature female, adult woman, short black hair, brown eyes, white blouse, blue jeans, standing, park path, <tag slot>

Tap a tag to carry it over to the builder

Negative prompt

school uniform, pleated skirt, blazer, serafuku, child, loli, teenage, censor, watermark, signature, text, extra limbs, bad hands, bad anatomy

Model

rinFlanimeIllustrious_v30 · euler_ancestral/normal · steps 28 · CFG 5 · 896×1152 · seed 777003

Takeaway

On a modern checkpoint with an otherwise sound prompt, quality tags are closer to a cheap convention than a lever. Spend the prompt budget on subject, framing and lighting first.

How far this result reaches

Read this as a ceiling, not a debunking. On older checkpoints and at low step counts the same tokens carry much more. All fifteen quality tags moved the frame less than a nonsense token when measured here — under these conditions.

Measured on a single Stable Diffusion family checkpoint. The same tags can behave differently on NovelAI, Midjourney or another checkpoint. This is a reference point, not a verdict.

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