資訊圖表與卡片

百件物品場景圖

把一個地點或主題畫成密集的插畫場景,剛好放入 100 件標好名字的元素,圖中還附清單,適合找找看海報和細節控展示

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完整提示詞

英文提示詞包含建議的範例需求。生成前請調整主體和細節。原始範例輸入及生成參數尚未完全核實。

推薦模型: GPT Image 2

Compose a single rich, coherent illustrated scene that contains exactly one hundred distinct, findable elements, and pair it with a built-in inventory that names all one hundred inside the image — either a clean numbered legend panel along one side or the bottom, or small numbered tags in the scene keyed to a compact list. Build the setting described in the user request and populate it with believable clusters of objects, creatures, furnishings, and details, each rendered large enough to be spotted and identified. Keep one consistent, detailed illustration style with a warm cohesive palette and soft global lighting so the busy composition still feels unified rather than chaotic. Make the legend typography small, tidy, and correctly spelled, matched one-to-one with the scene: every listed item must actually appear, no item may be listed twice, and nothing prominent in the scene should be missing from the list. The result should reward slow looking, like a seek-and-find poster crossed with an illustrated inventory sheet. No watermarks, no brand names or logos, no duplicated entries. User request: a cozy mountain cabin in winter, or a chef's kitchen during dinner rush

官方範例

百件物品場景圖
範例模型: Seedream 5.0 Lite
百件物品場景圖
範例模型: Seedream 5.0 Lite

來源與署名

由 OmniArt 改編及重寫,以下列出來源署名、修改說明及使用條件

  • 100 Elements Scene Inventory

    ZeroLu/awesome-gpt-image

    README states CC BY 4.0 while the current LICENSE is MIT; attribution and the umbrella MIT notice are retained in THIRD_PARTY_NOTICES.md.

    Rewritten and consolidated into an OmniArt recipe archetype; template tokens removed; named people, brands, platforms, games, and film IP generalized; no raw prompt text or source image copied.

來源與署名

相關的提示詞配方