hassamdevsy/controlnet-inpaint

hassamdevsy / controlnet-inpaint

Public
35K runs

Run hassamdevsy/controlnet-inpaint 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		None
prompt	string		None
negative_prompt	string		None
mask	string		None
controlnet_conditioning_scale	number	0.5 Max: 1	Controlnet Srength
guidance_scale	number	7.5 Max: 20	Guidance Scale for prompt
num_images_per_prompt	integer	1 Min: 1 Max: 4	Number Images to return
num_inference_steps	integer	30 Max: 50	Images to return

{
  "type": "object",
  "title": "Input",
  "required": [
    "image",
    "prompt",
    "negative_prompt",
    "mask"
  ],
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 3
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 1
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "maximum": 20,
      "minimum": 0,
      "x-order": 5,
      "description": "Guidance Scale for prompt"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "x-order": 2
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "maximum": 50,
      "minimum": 0,
      "x-order": 7,
      "description": "Images to return"
    },
    "num_images_per_prompt": {
      "type": "integer",
      "title": "Num Images Per Prompt",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 6,
      "description": "Number Images to return"
    },
    "controlnet_conditioning_scale": {
      "type": "number",
      "title": "Controlnet Conditioning Scale",
      "default": 0.5,
      "maximum": 1,
      "minimum": 0,
      "x-order": 4,
      "description": "Controlnet Srength"
    }
  }
}

Output schema

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

Schema

{
  "type": "array",
  "items": {},
  "title": "Output"
}