mohamad1998630/controlnet-seg

mohamad1998630 / controlnet-seg

Public
1 run

Run mohamad1998630/controlnet-seg 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_image_path	string		Image to process
prompt	string		prompt
a_prompt	string	best quality, extremely detailed	added prompt
n_prompt	string	longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality	negative prompt
num_samples	integer	1	num_samples
image_resolution	integer	512	Image resolution
detect_resolution	integer	512	detect_resolution
ddim_steps	integer	20	ddim steps
guess_mode	boolean	False	guess mode
strength	number	1	strength
scale	number	9	scale
seed	number	3.5	seed
eta	number	0	eta

{
  "type": "object",
  "title": "Input",
  "required": [
    "input_image_path",
    "prompt"
  ],
  "properties": {
    "eta": {
      "type": "number",
      "title": "Eta",
      "default": 0,
      "x-order": 12,
      "description": "eta"
    },
    "seed": {
      "type": "number",
      "title": "Seed",
      "default": 3.5,
      "x-order": 11,
      "description": "seed"
    },
    "scale": {
      "type": "number",
      "title": "Scale",
      "default": 9,
      "x-order": 10,
      "description": "scale"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 1,
      "description": "prompt"
    },
    "a_prompt": {
      "type": "string",
      "title": "A Prompt",
      "default": "best quality, extremely detailed",
      "x-order": 2,
      "description": "added prompt"
    },
    "n_prompt": {
      "type": "string",
      "title": "N Prompt",
      "default": "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "x-order": 3,
      "description": "negative prompt"
    },
    "strength": {
      "type": "number",
      "title": "Strength",
      "default": 1,
      "x-order": 9,
      "description": "strength"
    },
    "ddim_steps": {
      "type": "integer",
      "title": "Ddim Steps",
      "default": 20,
      "x-order": 7,
      "description": "ddim steps"
    },
    "guess_mode": {
      "type": "boolean",
      "title": "Guess Mode",
      "default": false,
      "x-order": 8,
      "description": "guess mode"
    },
    "num_samples": {
      "type": "integer",
      "title": "Num Samples",
      "default": 1,
      "x-order": 4,
      "description": "num_samples"
    },
    "image_resolution": {
      "type": "integer",
      "title": "Image Resolution",
      "default": 512,
      "x-order": 5,
      "description": "Image resolution"
    },
    "input_image_path": {
      "type": "string",
      "title": "Input Image Path",
      "format": "uri",
      "x-order": 0,
      "description": "Image to process"
    },
    "detect_resolution": {
      "type": "integer",
      "title": "Detect Resolution",
      "default": 512,
      "x-order": 6,
      "description": "detect_resolution"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "title": "Output"
}