提示詞
Knolling 風格攝影，一朵被完全解構的【藍花楹】，植物解剖學概念，嚴格垂直頂視，平鋪擺放。花瓣大量鋪陳，整體以 Bento Grid 作為排列邏輯，同時帶有自然輕微隨機性。花瓣從大到小、從深到淺呈漸變規律，區域性方向略有偏轉。包括雄蕊簇、花萼、葉片、花莖橫切面等元件，位置不刻意對稱但保持整體秩序。每一張的右下角用中文行書小字展示鮮花的名稱。 畫面邊緣需保留一處用於放置金屬鑷子，鑷子為不鏽鋼材質、細長直形，輕輕置於邊緣，與花瓣佈局保持協調，不搶主體，方向自然，光影一致。鑷子位置固定在畫面外緣附近，但不遮擋任何花瓣或標籤。 光影與質感：從邊緣到邊緣填滿畫面，無留白；柔和影棚布光，無硬陰影；8k 超高畫質、超寫實微距質感，天鵝絨花瓣細節清晰；Nano Banana Pro 美學；純白背景，比例3:4。
How to use this prompt
Read the complete 萬花皆可拆 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/zh-TW/generate?promptId=cmogxt15y00sbxt5go6bcw8bj, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the 萬花皆可拆 prompt best used for?
This prompt is best used for 其他 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.