lucataco/prompt-boost | API reference

a tool that enhances video prompts

Public

412 runs

Run lucataco/prompt-boost with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
prompt	string		Basic video prompt to enhance with cinematic techniques
image	string		Optional reference image to analyze and ensure the prompt makes visual sense
genre	None	general	Video genre to tailor the enhancement style
output_length	None	small	Length of the enhanced prompt output
include_camera_work	boolean	True	Add camera movements, angles, and shot types
include_lighting	boolean	True	Add lighting descriptions and mood
include_style	boolean	True	Add visual style, color grading, and aesthetic elements
include_pacing	boolean	True	Add pacing, rhythm, and timing elements
include_effects	boolean	False	Add special effects and post-production elements

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt"
  ],
  "properties": {
    "genre": {
      "enum": [
        "general",
        "cinematic",
        "documentary",
        "commercial",
        "music-video",
        "horror",
        "sci-fi",
        "drama",
        "action",
        "comedy"
      ],
      "type": "string",
      "title": "genre",
      "description": "Video genre to tailor the enhancement style",
      "default": "general",
      "x-order": 2
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 1,
      "nullable": true,
      "description": "Optional reference image to analyze and ensure the prompt makes visual sense"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Basic video prompt to enhance with cinematic techniques"
    },
    "include_style": {
      "type": "boolean",
      "title": "Include Style",
      "default": true,
      "x-order": 6,
      "description": "Add visual style, color grading, and aesthetic elements"
    },
    "output_length": {
      "enum": [
        "small",
        "medium",
        "large"
      ],
      "type": "string",
      "title": "output_length",
      "description": "Length of the enhanced prompt output",
      "default": "small",
      "x-order": 3
    },
    "include_pacing": {
      "type": "boolean",
      "title": "Include Pacing",
      "default": true,
      "x-order": 7,
      "description": "Add pacing, rhythm, and timing elements"
    },
    "include_effects": {
      "type": "boolean",
      "title": "Include Effects",
      "default": false,
      "x-order": 8,
      "description": "Add special effects and post-production elements"
    },
    "include_lighting": {
      "type": "boolean",
      "title": "Include Lighting",
      "default": true,
      "x-order": 5,
      "description": "Add lighting descriptions and mood"
    },
    "include_camera_work": {
      "type": "boolean",
      "title": "Include Camera Work",
      "default": true,
      "x-order": 4,
      "description": "Add camera movements, angles, and shot types"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output"
}

Example API response

View prediction

('A sleek sports car speeds along a sun-drenched coastal highway during golden '
 'hour, captured in a dynamic tracking shot with a low-angle crane movement '
 'that glides parallel to the vehicle at 60mph. The cinematography employs '
 'shallow depth of field keeping the car razor-sharp while the guardrails and '
 'ocean backdrop blur into streaks of warm amber and deep turquoise. Dramatic '
 'side-lighting from the setting sun creates hard-edged rim light along the '
 "car's contours, casting long shadows across the weathered asphalt. The color "
 'grade pushes warm oranges and teals with slightly crushed blacks for a '
 'cinematic automotive commercial aesthetic. A secondary wide establishing '
 'shot reveals the serpentine highway cutting through dramatic cliffside '
 'terrain before cutting back to a medium tracking shot that emphasizes speed '
 'through motion blur in the background while maintaining crisp focus on the '
 "vehicle's gleaming paint and spinning wheels, creating visceral forward "
 'momentum.')