zelenioncode/tttet – API reference

zelenioncode / tttet

Model for the AiPicture

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Run zelenioncode/tttet 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
input	string		Need to enter a json, for more information check the documentation
product	string		Product
gender	string (enum)	woman Options: woman, man	Need to choice a gender for the prediction
safetensors	string	https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true	WARNING ! If you make a training with this model, you don't need to do something with this input. Need to choice a safetensors for the prediction.

{
  "type": "object",
  "title": "Input",
  "required": [
    "input",
    "product"
  ],
  "properties": {
    "input": {
      "type": "string",
      "title": "Input",
      "x-order": 0,
      "description": "Need to enter a json, for more information check the documentation"
    },
    "gender": {
      "enum": [
        "woman",
        "man"
      ],
      "type": "string",
      "title": "gender",
      "description": "Need to choice a gender for the prediction",
      "default": "woman",
      "x-order": 2
    },
    "product": {
      "type": "string",
      "title": "Product",
      "x-order": 1,
      "description": "Product"
    },
    "safetensors": {
      "type": "string",
      "title": "Safetensors",
      "default": "https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors?download=true",
      "x-order": 3,
      "description": "WARNING ! If you make a training with this model, you don't need to do something with this input. Need to choice a safetensors for the prediction."
    }
  }
}

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"
}