f9e42d/46c4c9 | API reference

Public

631 runs

Run f9e42d/46c4c9 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
prompt	string		Prompt text
category	string		Garment category
category2	string		Second Garment category
pose_image	string		Pose image
garment_image	string		Garment image
garment2_image	string		Second Garment image
height	integer		None
width	integer		None
guidance_scale	number	2.5	None
img_guidance_scale	number	1.6	None
num_inference_steps	integer	30	None
seed	integer		None
mode	None	apparel_to_model	None
lora_names	array	['default']	None

{
  "type": "object",
  "title": "Input",
  "required": [
    "prompt",
    "category",
    "pose_image",
    "garment_image"
  ],
  "properties": {
    "mode": {
      "enum": [
        "apparel_to_model",
        "model_to_model"
      ],
      "type": "string",
      "title": "mode",
      "description": "An enumeration.",
      "default": "apparel_to_model",
      "x-order": 12
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 11,
      "nullable": true
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "x-order": 7,
      "nullable": true
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "x-order": 6,
      "nullable": true
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 0,
      "description": "Prompt text"
    },
    "category": {
      "type": "string",
      "title": "Category",
      "x-order": 1,
      "description": "Garment category"
    },
    "category2": {
      "type": "string",
      "title": "Category2",
      "x-order": 2,
      "nullable": true,
      "description": "Second Garment category"
    },
    "lora_names": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Lora Names",
      "default": [
        "default"
      ],
      "x-order": 13
    },
    "pose_image": {
      "type": "string",
      "title": "Pose Image",
      "format": "uri",
      "x-order": 3,
      "description": "Pose image"
    },
    "garment_image": {
      "type": "string",
      "title": "Garment Image",
      "format": "uri",
      "x-order": 4,
      "description": "Garment image"
    },
    "garment2_image": {
      "type": "string",
      "title": "Garment2 Image",
      "format": "uri",
      "x-order": 5,
      "nullable": true,
      "description": "Second Garment image"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 2.5,
      "x-order": 8
    },
    "img_guidance_scale": {
      "type": "number",
      "title": "Img Guidance Scale",
      "default": 1.6,
      "x-order": 9
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "x-order": 10
    }
  }
}

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"
}