meepo-pro-player/viper – API reference

meepo-pro-player / viper

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42.1K runs

Run meepo-pro-player/viper 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		Input mask, need to be RGB(255, 255, 255) = filled mask
prompt	string		Prompt for the model
n_prompt	string		Negative prompt for the model
num_samples_per_batch	string (enum)	1 Options: 1, 4	Number of samples (slower)
seed	integer		Seed
controlnet_conditioning_scale	number	0.7 Max: 1	Controlnet conditioning scale
control_guidance_start	number	0 Max: 1	Control guidance start
control_guidance_end	number	1 Max: 1	Control guidance end

{
  "type": "object",
  "title": "Input",
  "required": [
    "image",
    "mask_image",
    "prompt"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 5,
      "description": "Seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 2,
      "description": "Prompt for the model"
    },
    "n_prompt": {
      "type": "string",
      "title": "N Prompt",
      "default": "",
      "x-order": 3,
      "description": "Negative prompt for the model"
    },
    "mask_image": {
      "type": "string",
      "title": "Mask Image",
      "format": "uri",
      "x-order": 1,
      "description": "Input mask, need to be RGB(255, 255, 255) = filled mask"
    },
    "control_guidance_end": {
      "type": "number",
      "title": "Control Guidance End",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 8,
      "description": "Control guidance end"
    },
    "num_samples_per_batch": {
      "enum": [
        "1",
        "4"
      ],
      "type": "string",
      "title": "num_samples_per_batch",
      "description": "Number of samples (slower)",
      "default": "1",
      "x-order": 4
    },
    "control_guidance_start": {
      "type": "number",
      "title": "Control Guidance Start",
      "default": 0,
      "maximum": 1,
      "minimum": 0,
      "x-order": 7,
      "description": "Control guidance start"
    },
    "controlnet_conditioning_scale": {
      "type": "number",
      "title": "Controlnet Conditioning Scale",
      "default": 0.7,
      "maximum": 1,
      "minimum": 0,
      "x-order": 6,
      "description": "Controlnet conditioning scale"
    }
  }
}

Output schema

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

Schema

{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}