Strategies for Writing Effective Prompts
To improve the quality of Higgsfield AI video generation, you need to master the structured cue word technique:
- Elemental Layering Method: Cue words were categorized into four required sections. For example, "[young white-collar worker] [walking briskly in the corridor of an office building] [early morning sunlight through the glass curtain wall] [Wong Kar-Wai movie tones]".
- visual priority: Place important elements 1/3 of the way up the prompt and the system will give them more weight. Avoid the use of "and/and" to connect different concepts and use semicolons instead.
- adjective quantification: Replace "very quickly" with "at about 7km/h" and "very happy" with "with the corners of his mouth raised 30 degrees and his eyes slightly narrowed". and "very happy" to "with the corners of his mouth raised 30 degrees and his eyes slightly narrowed", etc.
- style reference: The use of explicit references such as the name of a well-known director (e.g. "Nolan style") and the type of artwork ("ukiyo-e prints effect") is more effective than a generalized "artistic sense".
Suggestions for optimization process: Generate samples with basic prompt words; observe the most important areas for improvement; add or modify relevant descriptions; conduct A/B testing to compare different versions. Save the successful cases to build a personal cue word library.
This answer comes from the articleHiggsfield AI: Using AI to Generate Lifelike Videos and Personalized AvatarsThe
May not be reproduced without permission:AI productivity tools " How to optimize text cues for best video generation?
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