Image prompt
Generates a polished Chinese plant-identification poster from a reference plant photo, suitable for botanical apps, social sharing, or care guides.
Copy directly into the target model and adjust for your input assets.
Using the provided reference photo as the source plant, transform it into a clean plant-identification infographic poster. Isolate the fuzzy green spherical Dianthus stems from the busy street/florist background, retouch them into a crisp studio botanical cutout, and place them on a soft pale green botanical layout with rounded information cards, leaf-line decorations, small green icons, and a trustworthy plant-app aesthetic. Use Simplified Chinese typography. Main headline: {argument name="headline text" default="绿毛球石竹"}; Latin name subtitle: {argument name="latin name" default="Dianthus barbatus ‘Green Trick’"}; show a confidence badge at the upper right reading high-confidence identification. Add exactly 9 content panels: 1 top-left identification recommendation summary, 2 classification judgment, 3 key identification evidence, 4 similar plant distinction, 5 basic file, 6 growth habits and care, 7 risk warning, 8 how to confirm, and 9 bottom fun-fact strip. Keep the infographic text dense but neatly aligned, with numbered green circle markers for panels 2 through 8, icons matching each topic, and the plant image as the central visual focus. Plant identity to present: {argument name="identified plant" default="Dianthus barbatus ‘Green Trick’, also called Green Trick"}; family/genus line: {argument name="taxonomy line" default="Caryophyllaceae | Dianthus | sweet william / Dianthus barbatus horticultural cultivar"}.
Original source details are kept for attribution and review.
GitHub source：YouMind-OpenLab/gpt-image-2-prompts-search
This page is adapted from YouMind OpenLab GitHub prompt libraries. License: MIT。