Use Case: Motion Handoff Deck。主题:Camera Move、Cue Conflict、First Frame、Motion Handoff Deck、Motion Path、Storyboard Workflow、Timing Ruler、Video Previsualization。

如何复用

可参考这个示例来设计 Camera Move、Cue Conflict、First Frame、Motion Handoff Deck 工作流、提示词结构、视觉约束和结果检查方式。

了解 Drill 打开 VibeArt

完整提示词

Create one polished public-gallery concept image titled exactly "Use Case: Motion Handoff Deck".

Output format: one ultra-wide 21:9 cinematic workflow strip, a single continuous previsualization interface, not a contact sheet, not a grid poster, not a physical product photograph, not a tabletop game, not a macro object.

Scene: a fictional creative studio screen for GPT Image-style generation, showing how a still-image idea becomes a motion handoff for a video team. The project is fictional and called "Moonlit Ferry". The main canvas is a continuous horizontal timeline with five connected zones: "First Frame", "Motion Path", "Camera Move", "Timing", "Last Frame". Use flowing arrows, translucent motion trails, timestamp markers, and small pass/fail evaluation chips.

Exact short readable text to render: "Use Case: Motion Handoff Deck", "Moonlit Ferry", "First Frame", "Motion Path", "Camera Move", "Timing", "Last Frame", "00:01", "00:03", "00:05", "PASS", "Cue conflict: fixed", "No brands, no people". Keep text short and legible; do not add long paragraphs or random text.

Visual content inside the deck: an invented quiet night ferry silhouette crossing an imaginary lagoon, abstract lantern reflections, a simple crescent moon icon, and a final frame thumbnail with the ferry slightly farther right. No real city, no real logo, no famous location. The deck should show a first-frame image, motion arrows over water ripples, a camera-pan diagram, a timing ruler, and a final-frame preview all connected as one workflow.

Mechanism: demonstrate that GPT Image can be used to make a static storyboard handoff: separate composition from motion instructions, preserve the same fictional subject across frames, expose camera/action/timing fields, catch contradictory cues, and create a clean artifact for a video prompt or animatic review.

Style: premium product-design interface mixed with cinematic storyboard art, crisp vector-like UI overlays on soft illustrated thumbnails, off-white and graphite UI, deep teal water, amber lantern accents, high contrast, exact alignment, sophisticated but not corporate-generic. No purple-dominant palette, no decorative orbs, no watermark.

Safety and rights: fictional project and fictional place only, no real brands or trademarks, no public figures, no politics, no dangerous instructions, no adult or explicit content, no gore or violence, no copyrighted characters, no living-artist style imitation, no source image reuse.

来源与致谢

6 条来源

来源说明: Prompt concept generated locally after a fresh source sweep. External sources informed only abstract patterns: community gallery metadata cards, direct prompt iteration, image-to-video motion/camera cue separation, prompt-to-infographic workflow surfaces, and compositional evaluation chips. No external prompt text, image, source image, brand, character, artwork, or protected style was reused.

AI Image Prompt Gallery - Browse AI Art Prompts with Examples

SpacePrompts

trend_scan / gallery_metadata_pattern

访问日期 2026-04-27 · unspecified; no verbatim prompt/image reuse

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AI Prompts Gallery

Prompt Image

visual_format_scan / category_taxonomy

访问日期 2026-04-27 · site says examples are free to copy, but treated as unspecified; no verbatim prompt/image reuse

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Writing effective text prompts

Adobe

prompt_pattern_inspiration / failure_mode_scan

访问日期 2026-04-27 · Adobe Help Center terms; no verbatim prompt/image reuse

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Image to Video Prompting Guide

Runway

workflow_inspiration / motion_prompt_structure

访问日期 2026-04-27 · unspecified; no verbatim prompt/image reuse

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Prompt2Infographic | Case Study

Neovise-Tech

product_workflow_inspiration / output_shape_reference

访问日期 2026-04-27 · unspecified; no verbatim prompt/image reuse

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T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation

Hugging Face Papers / Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu

benchmark_dataset / evaluation_pattern

访问日期 2026-04-27 · paper metadata page; dataset/paper terms vary; no prompt/image reuse

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