Midjourney reads compact descriptions
Midjourney treats a prompt closer to a set of descriptors than a sentence. Comma-separated clusters work well and order matters. Imprompta focuses on concise, clearly ordered visual phrasing rather than parameter flags.
Long explanatory grammar tends to be flattened. Keeping clauses short and concrete gets closer to the reference.
FLUX reads sentences
FLUX handles natural language well and rewards specificity written out in full. Spatial relationships, material descriptions and light direction expressed as proper sentences survive the trip.
Where Midjourney wants 'low three-quarter angle, wet asphalt, rim light', FLUX prefers 'photographed from a low three-quarter angle, with rim light separating the car from wet asphalt behind it'.
Negative prompts are not universal
Stable Diffusion and its derivatives use an explicit negative prompt. Midjourney and FLUX generally do not need one, and forcing one in adds nothing. Imprompta only produces a negative prompt for models that actually use it.
One analysis, several outputs
The underlying reading of the image does not change between models — only the phrasing does. That is why Imprompta separates visual analysis from prompt composition: switch the target model and the same structured understanding is rewritten in the right dialect.