Work through this in order
- Shorten the prompt. Long prompts dilute weighting. Under about 40 words gives the model a clearer target.
- Front-load the subject. Words earlier in the prompt carry more weight than words at the end.
- Use `--no` instead of negative phrasing. "no text" often adds text;
--no textremoves it. - Check your parameters. A stray
--stylize 900or--weirdvalue will override your intent. - Reset personalization. If
--por a personalization profile is active it reshapes every render; try the same prompt with--p 0. - Match the model version. V6 and V7 read natural language very differently from V5. Add
--v 7explicitly rather than relying on your default.
Repeatability
Add --seed 1234 to lock composition while you iterate on wording, then remove it once you like the result.