Street performance: a vibrant parrot performs basketball tricks before a lively crowd on a sunlit paved street. Bright daylight, colorful feathers contrast with the orange ball, shallow depth of field, blue sky. Camera:…
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A passenger inside a train, gripping tightly, eyes wide. A massive creature slams into the side of the train, derailing it violently. High-speed train crossing open landscape, debris flying instantly. Handheld tracking shot inside the train, camera thrown sideways on impact, glass shattering and chaos erupting.
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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Public prompt pages show edited case notes instead of copy-ready raw text. High-risk, explicit, and brand- or likeness-sensitive entries are filtered from the public library.
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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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