Cue word optimization methodology
Precise control is achieved by combining structured parameters through UserAPI.ai's intelligent assistance functions:
- templated instruction: Follow the five-element structure of [subject] + [scene] + [style] + [details] + [technical parameters] (example: "Astronauts + Martian sunset + sci-fi illustration + 4K details + cinematic lighting")
- Reverse engineering tools: Upload reference images using the /describe interface, automatically parsing high-quality cue words
- Dynamic adjustment function: Progressive optimization via vary-region local modification of cue words
practical skill
- Style keyword: add "trending on artstation" to enhance artistry
- Technical parameters: Use "-v 5″ to specify the model version.
- Exclude elements: filter unwanted content with the "-no" parameter
- Weighting control: prioritization of elements with ":::" notation
advanced program
Establish enterprise-level cue word library, determine the optimal parameter combination with A/B testing, and batch verify the effect of different cues through API.
This answer comes from the articleUserAPI.ai: Integration of Midjourney image generation API interfaceThe
May not be reproduced without permission:AI productivity tools " How to optimize the effect of image-generated cue words?
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