csviverdeia/controlnet-seg-room

Geracao de quartos a partir de mapa de segmentacao + prompt (ControlNet + SD v1.5)

Public

8 runs

Run csviverdeia/controlnet-seg-room 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
seg_image	string		Segmentation map RGB (ADE20K palette).
prompt	string	a luxurious modern living room with large windows, natural light, scandinavian style	None
negative_prompt	string	ugly, blurry, low quality, distorted, deformed, dark, gloomy	None
num_inference_steps	integer	20 Min: 10.0 Max: 100.0	None
guidance_scale	number	7.5 Min: 1.0 Max: 20.0	None
controlnet_conditioning_scale	number	1.0 Max: 2.0	None
seed	integer	-1	None
width	integer	512 Min: 256.0 Max: 1024.0	None
height	integer	512 Min: 256.0 Max: 1024.0	None

{
  "type": "object",
  "title": "Input",
  "required": [
    "seg_image"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": -1,
      "x-order": 6
    },
    "width": {
      "type": "integer",
      "title": "Width",
      "default": 512,
      "maximum": 1024.0,
      "minimum": 256.0,
      "x-order": 7
    },
    "height": {
      "type": "integer",
      "title": "Height",
      "default": 512,
      "maximum": 1024.0,
      "minimum": 256.0,
      "x-order": 8
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "a luxurious modern living room with large windows, natural light, scandinavian style",
      "x-order": 1
    },
    "seg_image": {
      "type": "string",
      "title": "Seg Image",
      "format": "uri",
      "x-order": 0,
      "description": "Segmentation map RGB (ADE20K palette)."
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20.0,
      "minimum": 1.0,
      "x-order": 4
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "ugly, blurry, low quality, distorted, deformed, dark, gloomy",
      "x-order": 2
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 20,
      "maximum": 100.0,
      "minimum": 10.0,
      "x-order": 3
    },
    "controlnet_conditioning_scale": {
      "type": "number",
      "title": "Controlnet Conditioning Scale",
      "default": 1.0,
      "maximum": 2.0,
      "minimum": 0.0,
      "x-order": 5
    }
  }
}

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"
}