fofr/compare-character-consistency

fofr / compare-character-consistency

Compare kontext, gpt-image-1, runway gen4 and seededit for character based images

Public
208 runs

Run fofr/compare-character-consistency 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": "object",
  "title": "Input",
  "required": [
    "image",
    "prompt"
  ],
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Character to test"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 1,
      "description": "Describe the image to generate"
    },
    "return_grid": {
      "type": "boolean",
      "title": "Return Grid",
      "default": false,
      "x-order": 4,
      "description": "Return a grid image as an extra file at the end"
    },
    "aspect_ratio": {
      "enum": [
        "1:1",
        "16:9",
        "9:16",
        "4:3",
        "3:4"
      ],
      "type": "string",
      "title": "aspect_ratio",
      "description": "An enumeration.",
      "default": "1:1",
      "x-order": 2
    },
    "openai_api_key": {
      "type": "string",
      "title": "Openai Api Key",
      "format": "password",
      "x-order": 5,
      "writeOnly": true,
      "description": "An optional OpenAI API key. This is needed to run gpt-image-1.",
      "x-cog-secret": true
    },
    "label_model_name": {
      "type": "boolean",
      "title": "Label Model Name",
      "default": false,
      "x-order": 3,
      "description": "Add model name label to images"
    }
  }
}

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"
}

Example API response

View prediction

['https://replicate.delivery/xezq/mcOhyy72aWZsJRTp37M35ZtlWBqgs6kF143bfjc3av7EcdhKA/tmpftfjrzi2.png',
 'https://replicate.delivery/xezq/K1fqomfYAYlbcUlQZMKkysg1bRfadhgPrkeAmGdhPU8ngrLUB/tmpxej4si5l.webp',
 'https://replicate.delivery/xezq/5UGjAxlRGMKcGlee18ZCqAlXwIZ9Vf1BQdXJ5IrlOSBSw1FqA/tmp95y633n5.jpg',
 'https://replicate.delivery/xezq/ylQdRbGcLLpSA9I6IMK2yCh72VS40V0gau6Z9yyCS1dCuuQF/tmpa4rxgxoy.png',
 'https://replicate.delivery/xezq/BI6Me8GTHjUwb6pB3nyjueZk5ieMPAX7y8H01Y95WRKTw1FqA/tmpfjoh10m4.png']