In order to optimize the cue word effect, the following methods are recommended:
- detailed descriptive method: Translate abstract needs into concrete details, e.g., replace "a cat" with "a Ragdoll cat with blue eyes sitting in a vintage wooden chair in the dusk light".
- style limit: Clearly defined artistic style (e.g. "watercolor style", "cyberpunk style")
- parameterization: Increase resolution (1024 x 1024 and above) with the use of the size parameter
- step by step testing: Try simple cue words first and gradually add modifiers to observe changes in effect
The project documentation mentions that detailed cue words can improve the generation accuracy by more than 40%. For complex scenarios, it is recommended to split into multiple elements to describe them separately.
This answer comes from the articleGPT-Image-Edit: tool for editing and generating images using text commandsThe
May not be reproduced without permission:AI productivity tools " A Practical Approach to Solving the Poor Results of Image-Generated Cue Words
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