Tattoo generation accuracy: how we test designs

Ten matching prompts returned images after retries; the first concurrent attempt returned 3 of 10. Median successful attempt: 6.78 seconds, excluding earlier failed attempts. The test used 10 distinct line-art prompts on the primary model; 50 additional examples on an experimental model. These are small prelaunch tests, not a guarantee of future performance or a timing measurement from a visitor’s browser. See the tattoo maker tool.

Before launch we called the primary production image model directly with ten line-art prompts and recorded result, time and usage. Initial calls ran four at a time; rate-limited requests were retried, including after waiting. Successful-attempt timing excludes time spent on prior failed attempts. The additional fifty examples were made with a different experimental model and measured from the local generation command. An AI assistant visually reviewed the images; no tattoo artist reviewed them. When the primary model rejects a request as busy, the site can retry with a different image model. The rate-limited calls remain in our internal record. We also checked the generated files and reviewed contact sheets visually, looking for whether the main subject was recognizable and whether there was a clean light background. This was an AI assessment rather than a tattoo artist’s assessment.

A returned file only shows that an image was generated. It does not establish that the drawing is suitable for a person, for a particular location on the body, or as a direct transfer stencil. Generated lettering can contain mistakes and complex details may need adjustment. A tattoo artist can judge whether a particular drawing needs to be redrawn or simplified.

Use these results to understand our limited prelaunch sample, then try your own description and inspect the image at full size. Compare the main shapes, check any text, and discuss your preferred result with your artist. The examples show the kinds of ideas we tested, while the tool can produce different pictures for the same prompt. Rate limits, network conditions and changes to the model can make later runs slower or prevent a result.

These small tests do not measure how a design heals, suits a person, transfers to skin, or performs under future traffic. Model and service load can change. SVG exports trace the visible image into filled outlines in the browser. Closed shapes do not prove that a file is ready for tattoo transfer or for a cutting machine.

No. Generation success only means a file returned. Ask a tattoo artist to assess and adapt any design.

No. The median above covers successful attempts only and excludes earlier failed attempts and waiting.