meepo-pro-player/juggernaut

Public

17 runs

Run meepo-pro-player/juggernaut 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		Input image (file path or URL)
prompt	string		Prompt for the model
negative_prompt	string		Negative prompt for the model
num_samples	None	1	Number of samples
num_inference_steps	integer	50	Number of inference steps
normal_strength	number	1 Max: 1	Normal strength
guidance_scale	number	9	Style guidance scale
use_controlnet_canny	boolean	True	Use ControlNet Canny
canny_scale	number	1 Max: 1	ControlNet Canny Scale
use_controlnet_depth	boolean	True	Use ControlNet Depth
depth_scale	number	1 Max: 1	ControlNet Depth Scale
seed	integer		Seed

{
  "type": "object",
  "title": "Input",
  "required": [
    "image",
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 11,
      "description": "Seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image (file path or URL)"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 1,
      "description": "Prompt for the model"
    },
    "canny_scale": {
      "type": "number",
      "title": "Canny Scale",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 8,
      "description": "ControlNet Canny Scale"
    },
    "depth_scale": {
      "type": "number",
      "title": "Depth Scale",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 10,
      "description": "ControlNet Depth Scale"
    },
    "num_samples": {
      "enum": [
        "1",
        "2",
        "3",
        "4"
      ],
      "type": "string",
      "title": "num_samples",
      "description": "Number of samples",
      "default": "1",
      "x-order": 3
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 9,
      "x-order": 6,
      "description": "Style guidance scale"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 2,
      "description": "Negative prompt for the model"
    },
    "normal_strength": {
      "type": "number",
      "title": "Normal Strength",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 5,
      "description": "Normal strength"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 50,
      "x-order": 4,
      "description": "Number of inference steps"
    },
    "use_controlnet_canny": {
      "type": "boolean",
      "title": "Use Controlnet Canny",
      "default": true,
      "x-order": 7,
      "description": "Use ControlNet Canny"
    },
    "use_controlnet_depth": {
      "type": "boolean",
      "title": "Use Controlnet Depth",
      "default": true,
      "x-order": 9,
      "description": "Use ControlNet Depth"
    }
  }
}

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"
}