zylim0702/multi_controlnet_inpainting_stable_diffusion

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Run zylim0702/multi_controlnet_inpainting_stable_diffusion with an API

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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
mask_image	string		Mask image
text_prompt	string		Inpainting prompt
controlnet_type	None	canny	Controlnet_type
num_inference_steps	integer	20	Number of inference steps
controlnet_conditioning_scale	number	0.25	Controlnet conditioning scale

{
  "type": "object",
  "title": "Input",
  "required": [
    "image",
    "mask_image",
    "text_prompt"
  ],
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image"
    },
    "mask_image": {
      "type": "string",
      "title": "Mask Image",
      "format": "uri",
      "x-order": 1,
      "description": "Mask image"
    },
    "text_prompt": {
      "type": "string",
      "title": "Text Prompt",
      "x-order": 2,
      "description": "Inpainting prompt"
    },
    "controlnet_type": {
      "enum": [
        "canny",
        "hed",
        "mlsd",
        "pose"
      ],
      "type": "string",
      "title": "controlnet_type",
      "description": "Controlnet_type",
      "default": "canny",
      "x-order": 3
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 20,
      "x-order": 4,
      "description": "Number of inference steps"
    },
    "controlnet_conditioning_scale": {
      "type": "number",
      "title": "Controlnet Conditioning Scale",
      "default": 0.25,
      "x-order": 5,
      "description": "Controlnet conditioning scale"
    }
  }
}

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"
}