Peta emosi di Metro Paris
"PETA EMOSIONAL METRO LINE"/"PETA EMOSIONAL METRO LINE" 4", poster visualisasi emosional terintegrasi dengan peta lalu lintas perkotaan. Peta rute menggunakan sintaks peta kereta bawah tanah standar, tetapi nama stasiun…
Cepat
"PETA EMOSIONAL METRO LINE"/"PETA EMOSIONAL METRO LINE" 4", poster visualisasi emosional terintegrasi dengan peta lalu lintas perkotaan. Peta rute menggunakan sintaks peta kereta bawah tanah standar, tetapi nama stasiun setiap stasiun diganti dengan keadaan emosional, seperti "terjaga", "mati rasa", "harapan", "ketakutan sosial" dan "bebas dari pekerjaan", dan simpul transfer diperbesar menjadi ikon ekspresi abstrak, latar belakangnya samar-samar kabur dalam gaya fotografi dokumenter gerbong yang penuh sesak. Siluet penumpang dan diagram batang indeks kepadatan pada periode waktu yang berbeda tersemat di sudut poster. Judulnya menggunakan sans serif gaya Swiss yang tenang. Subjudulnya seperti pengantar pameran seni.
How to use this prompt
Read the complete Peta emosi di Metro Paris prompt and identify the subject, style, camera, lighting, and composition requirements before generating.
Replace bracketed or argument-style placeholders with your product, character, brand, scene, color palette, or aspect ratio requirements.
Open https://www.gptimagehub.com/id/generate?promptId=cmogxi7a700gnxt5g8uzsvghb, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the Peta emosi di Metro Paris prompt best used for?
This prompt is best used for lainnya images where you want a reusable structure, detailed visual direction, and consistent output quality.
Can I edit the prompt before generating?
Yes. The full prompt text is visible on this page so you can change subjects, product names, colors, composition, camera terms, aspect ratio, and style notes before generation.
Which model should I use with this prompt?
Use the model shown in the prompt metadata as the default starting point. If another image model supports the same aspect ratio and instruction style, you can adapt the prompt and compare results.