pipelines-beta/create-ai-influencer-dataset-test

Public

1 run

Run pipelines-beta/create-ai-influencer-dataset-test 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
type	None	woman	Type of person
age	integer	25 Min: 18 Max: 80	Age in years
ethnicity	None	asian	Ethnicity
height	None	tall	Height description
body_type	None	average	Body type
eye_color	None	brown	Eye color
hair_style	None	long straight	Hair style
hair_color	None	brunette	Hair color
seed	integer		Set a seed to keep the character consistent, or leave blank to use a random one
count	integer	10 Min: 1 Max: 50	Number of images to generate

{
  "type": "object",
  "title": "Input",
  "required": [
    "seed"
  ],
  "properties": {
    "age": {
      "type": "integer",
      "title": "Age",
      "default": 25,
      "maximum": 80,
      "minimum": 18,
      "x-order": 1,
      "description": "Age in years"
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 8,
      "description": "Set a seed to keep the character consistent, or leave blank to use a random one"
    },
    "type": {
      "enum": [
        "woman",
        "man"
      ],
      "type": "string",
      "title": "type",
      "description": "Type of person",
      "default": "woman",
      "x-order": 0
    },
    "count": {
      "type": "integer",
      "title": "Count",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "x-order": 9,
      "description": "Number of images to generate"
    },
    "height": {
      "enum": [
        "short",
        "average height",
        "tall"
      ],
      "type": "string",
      "title": "height",
      "description": "Height description",
      "default": "tall",
      "x-order": 3
    },
    "body_type": {
      "enum": [
        "slim",
        "athletic",
        "curvy",
        "muscular",
        "average"
      ],
      "type": "string",
      "title": "body_type",
      "description": "Body type",
      "default": "average",
      "x-order": 4
    },
    "ethnicity": {
      "enum": [
        "white",
        "black",
        "asian",
        "latina",
        "middle eastern",
        "indian"
      ],
      "type": "string",
      "title": "ethnicity",
      "description": "Ethnicity",
      "default": "asian",
      "x-order": 2
    },
    "eye_color": {
      "enum": [
        "blue",
        "green",
        "brown",
        "hazel",
        "gray"
      ],
      "type": "string",
      "title": "eye_color",
      "description": "Eye color",
      "default": "brown",
      "x-order": 5
    },
    "hair_color": {
      "enum": [
        "blonde",
        "brunette",
        "black",
        "red",
        "platinum blonde"
      ],
      "type": "string",
      "title": "hair_color",
      "description": "Hair color",
      "default": "brunette",
      "x-order": 7
    },
    "hair_style": {
      "enum": [
        "long straight",
        "long wavy",
        "curly",
        "short bob",
        "pixie cut"
      ],
      "type": "string",
      "title": "hair_style",
      "description": "Hair style",
      "default": "long straight",
      "x-order": 6
    }
  }
}

Output schema

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

Schema

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