3D Diorama Poster for Film/Novel Scenes AI Image Prompt
Join Our WhatsApp Channel for Latest UpdatesPlease design a high-quality 3D poster for the film/novel "Name to be added", requiring prior retrieval of information about the film/novel and famous scene clips.
First, use your knowledge base to retrieve the content of this film/novel and find the most representative famous scene or core location. In the center of the image, construct this scene as an exquisite isometric 3D miniature model. The style should adopt the delicate, soft rendering style of Dreamworks animation. You need to restore the architectural details, character dynamics, and environmental atmosphere of the time; whether it's a storm or a tranquil afternoon, it should naturally blend into the model's lighting and shadows.
Regarding the background, do not use a simple pure white base. Please create a void environment around the model with faint ink wash blending and flowing light mist, with elegant color tones, making the image appear breathable and deep, highlighting the preciousness of the central model.
Finally, for the layout at the bottom, generate Chinese text. Center the name of the novel, with a font design that matches the style of the original work. Below the title, automatically retrieve and lay out a classic description or line from the original work related to that scene, using an elegant serif font. The overall layout should be exquisitely balanced, like a high-end museum collection plaque.
A complex prompt designed to generate a high-quality 3D isometric diorama poster for a specified film or novel. It instructs the AI to first research the source material, build a detailed miniature model of a representative scene in a Dreamworks-like style, use a subtle ink-wash background, and include Chinese text for the title and a classic quote at the bottom, mimicking a museum plaque.
How to use this prompt
Copy the prompt above and paste it into an AI image generator such as Google Gemini (Nano Banana) or a similar tool. Replace any bracketed placeholders with your own details, then generate and refine the result.
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