When output drifts from intent, the cause is usually prompt structure or a leftover parameter — not model quality.
1. Shorten and front-load
Tokens early in the prompt carry more weight. Put the subject first, the setting second, and style last. Aim for under 40 words.
2. Remove negative phrasing
Writing "no text, no watermark" reinforces those concepts. Use the parameter form: --no text, watermark.
3. Audit hidden parameters
Run /settings in Discord. A saved --stylize 750, --weird 500, or an active personalization profile applies to every job. Test with --stylize 100 --p 0 to see the raw interpretation. Full checklist: Midjourney prompt not producing the right image.
4. Declare the model version
V7 reads natural sentences; V5 responds better to comma-separated tags. Add --v 7 explicitly rather than trusting your default.
5. Use weights, not more adjectives
red car::2 snowy street::1 is far more reliable than repeating "very red".
6. Lock the seed while iterating
--seed 4242 holds composition steady so you can isolate the effect of each wording change.
Still wrong?
Break the idea into two images and combine them, or supply a reference image with --iw 1.5 to anchor composition.