zylim0702/multi_controlnet_inpainting_stable_diffusion

zylim0702 / multi_controlnet_inpainting_stable_diffusion

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Run zylim0702/multi_controlnet_inpainting_stable_diffusion 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
mask_image	string		Mask image
text_prompt	string		Inpainting prompt
controlnet_type	string (enum)	canny Options: canny, hed, mlsd, pose	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"
}