Background to the issue
When using AI to generate content, users often encounter the problem of vague cue descriptions resulting in output results that do not meet expectations. Writing structured cues manually requires specialized knowledge and is time-consuming.
prescription
- Using the Image to JSON function: Upload reference images and the system automatically analyzes and generates JSON prompts containing structured parameters such as color/style/scene etc.
- Text to JSON Optimization: Enter basic prompts (e.g. "city night view") and the system will add specific parameters (color tone/style/resolution, etc.)
- Real-time editing adjustments: Precise modification of specific fields (e.g., change "blue tint" to "warm yellow") through the built-in JSON editor.
Example of operation
Take Midjourney as an example: 1. upload a reference image 2. get JSON with detailed parameters such as "cyberpunk style, neon light, 4K resolution" 3. copy it directly to Midjourney and use it.
caveat
To improve accuracy, it is recommended to: 1. upload high-quality images 2. include basic style descriptions in the text input 3. fine-tune the JSON parameters according to the target tool's requirements
This answer comes from the articlePrompthance: JSON Generation Tool for Converting Images or Text into AI Prompt WordsThe
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