Scene 1 (0–4s): A teenage girl sits at a study desk late at night, surrounded by open books, notes, and a dim desk lamp. She looks tired, rubbing her temples while staring at a page. Subtle eye strain, slow blinking.…
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音楽：なし 言語：日本語 字幕：なし シーン 1： 日本の電車内。 @image-1 と @image-2 が大きな赤いキノコを食べ、体が 2 倍に巨大化する。 2 人は非常に驚いている。 シーン 2： @image-1 と @image-2 が燃える花を食べ、手から炎を放つ能力を得る。 2 人はとても驚いている。 シーン 3： 別アングル。 2 人が輝く五芒星型の星を食べ、全身がキラキラと光り始め、超スピードで街中を駆け抜ける。 車にぶつかっても無傷。 車は吹き飛ばされ、爆発する。 2 人は笑顔で道路を駆け回る。
How to work from this case
- Start with the original prompt and identify which subject, camera, and mood phrases drive the output.
- When iterating, change one variable first: lighting, motion, or emotion.
- If references are involved, adjust framing and movement separately for more stable generations.
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After a single prompt, the next move is usually another example from the library or a guide and glossary entry that add method and terminology.
Prompt Library
Return to the prompt library to keep narrowing
Compare structure, media setup, and control patterns across examples.
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Guides
Read guides for the underlying method
Turn isolated examples into reusable workflow patterns.
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Glossary
Use the glossary to complete the control language
Clarify camera, reference, and consistency language before the next iteration.
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