fofr/kontext-and-claude | API reference

Use claude to write prompts for flux kontext

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Playground API Examples README

Run fofr/kontext-and-claude 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		The image to modify
instruction	string	Make it weird	None
run_vanilla_kontext	boolean	False	An option to also run the vanilla Kontext pro model with instruction, to compare with Claude's
system_prompt	None	default	None
custom_system_prompt	string		A custom system prompt to use for the Claude model

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "The image to modify"
    },
    "instruction": {
      "type": "string",
      "title": "Instruction",
      "default": "Make it weird",
      "x-order": 1
    },
    "system_prompt": {
      "enum": [
        "default",
        "exaggerated"
      ],
      "type": "string",
      "title": "system_prompt",
      "description": "An enumeration.",
      "default": "default",
      "x-order": 3
    },
    "run_vanilla_kontext": {
      "type": "boolean",
      "title": "Run Vanilla Kontext",
      "default": false,
      "x-order": 2,
      "description": "An option to also run the vanilla Kontext pro model with instruction, to compare with Claude's"
    },
    "custom_system_prompt": {
      "type": "string",
      "title": "Custom System Prompt",
      "x-order": 4,
      "description": "A custom system prompt to use for the Claude model"
    }
  }
}

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/12KdIpRMyDJ6NRQTX7jfehMeGlJebfPXAv1BTwEtfdrTDZ7PF/tmp51oemw6s.png']