vontage-point/aperol – API reference

vontage-point / aperol

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25 runs

Run vontage-point/aperol 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
image	string		An image of a person to be converted to a sticker
image_mask	string		An image of a person to be converted to a sticker
prompt	string	a bottle of aperol on a table at a backyard bbq party	Prompt to generate the sticker
negative_prompt	string	text, watermark, unsharp, blurry, render, bad anatomy, weird, strange	Negative prompt to generate the sticker
return_temp_files	boolean	False	Return any temporary files, such as preprocessed controlnet images. Useful for debugging.
output_format	string (enum)	webp Options: webp, jpg, png	Format of the output images
output_quality	integer	80 Max: 100	Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
randomise_seeds	boolean	True	Automatically randomise seeds (seed, noise_seed, rand_seed)
force_reset_cache	boolean	False	Force reset the ComfyUI cache before running the workflow. Useful for debugging.

{
  "type": "object",
  "title": "Input",
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "An image of a person to be converted to a sticker"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a bottle of aperol on a table at a backyard bbq party",
      "x-order": 2,
      "description": "Prompt to generate the sticker"
    },
    "image_mask": {
      "type": "string",
      "title": "Image Mask",
      "format": "uri",
      "x-order": 1,
      "description": "An image of a person to be converted to a sticker"
    },
    "output_format": {
      "enum": [
        "webp",
        "jpg",
        "png"
      ],
      "type": "string",
      "title": "output_format",
      "description": "Format of the output images",
      "default": "webp",
      "x-order": 5
    },
    "output_quality": {
      "type": "integer",
      "title": "Output Quality",
      "default": 80,
      "maximum": 100,
      "minimum": 0,
      "x-order": 6,
      "description": "Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality."
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "text, watermark, unsharp, blurry, render, bad anatomy, weird, strange",
      "x-order": 3,
      "description": "Negative prompt to generate the sticker"
    },
    "randomise_seeds": {
      "type": "boolean",
      "title": "Randomise Seeds",
      "default": true,
      "x-order": 7,
      "description": "Automatically randomise seeds (seed, noise_seed, rand_seed)"
    },
    "force_reset_cache": {
      "type": "boolean",
      "title": "Force Reset Cache",
      "default": false,
      "x-order": 8,
      "description": "Force reset the ComfyUI cache before running the workflow. Useful for debugging."
    },
    "return_temp_files": {
      "type": "boolean",
      "title": "Return Temp Files",
      "default": false,
      "x-order": 4,
      "description": "Return any temporary files, such as preprocessed controlnet images. Useful for debugging."
    }
  }
}

Output schema

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

Schema

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