PROMPT GUIDE
How to Use Quality Tags (masterpiece / best quality)
Quality tags placed at the start of a prompt are a standard technique for raising the overall finish of an image. But adding more of them doesn't keep making things better. Learn what they mean and how well they pair with your model, and use a set that suits it.
Last updated: approx. 1 min read
What are quality tags, and why do they work?
In the training data, highly rated images carried quality-related tags, so writing these tags pulls the output toward the traits of highly rated images (careful coloring, well-formed faces, high detail density). In other words, quality tags are a switch that calls up the model's memory of skillful artwork.


Recommended quality sets by model
SDXL / Illustrious-based
masterpiece, best quality, very aesthetic, absurdresAnime models in general (use this if unsure)
masterpiece, best quality, highly detailedThe downside of using too many
- The more quality tags you add, the weaker your character and composition tags become in relative terms
- Stacking ultra detailed-type tags clutters the background and buries the main subject
- On some models, the art style tends to lock into that model's favorite face
Rinka's tips
- 3-4 quality tags are plenty. Beyond 5, the effects mostly overlap
- If the art style feels too locked in, remove quality tags one at a time and compare
- If the model's download page has a recommended prompt, following it first is the quickest route
With Illustrious and NoobAI, it's common to put quality tags at the end. For the order table and template: Illustrious and NoobAI Prompt Order →
FAQ
Frequently Asked Questions
What happens if I don't use quality tags?
The image won't fall apart, but the care in coloring and linework tends to be less consistent. Especially with anime models, just a few quality tags make a visible difference in how stable the finish is.
Should I use score tags (score_9, etc.)?
Score tags are a syntax specific to Pony-based models. On other models they either have no effect or act as noise, so check your model's recommended prompt before using them.
Do quality tags go in the negative prompt too?
The standard practice is to put low-quality tags such as worst quality and low quality in the negative prompt. See the negative prompt article for details.
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