meepo-pro-player/morphling

meepo-pro-player / morphling

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43.7K runs

Run meepo-pro-player/morphling 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
style_image	string		Input style image
prompt	string		Prompt
negative_prompt	string		Negative prompt
num_samples	integer	1	Number of samples to generate
controlnet_conditioning_scale	number	0.7 Max: 1	control scale
control_guidance_start	number	0.01 Max: 1	Controlnet guidance start
control_guidance_end	number	1 Max: 1	Controlnet guidance end
guidance_scale	number	7.5	Style guidance scale
num_inference_steps	integer	30	Number of inference steps
seed	integer		Seed

{
  "type": "object",
  "title": "Input",
  "required": [
    "image",
    "mask_image",
    "style_image"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 11,
      "description": "Seed"
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "x-order": 3,
      "description": "Prompt"
    },
    "mask_image": {
      "type": "string",
      "title": "Mask Image",
      "format": "uri",
      "x-order": 1,
      "description": "Input mask, need to be RGB(255, 255, 255) = filled mask"
    },
    "num_samples": {
      "type": "integer",
      "title": "Num Samples",
      "default": 1,
      "x-order": 5,
      "description": "Number of samples to generate"
    },
    "style_image": {
      "type": "string",
      "title": "Style Image",
      "format": "uri",
      "x-order": 2,
      "description": "Input style image"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "x-order": 9,
      "description": "Style guidance scale"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "x-order": 4,
      "description": "Negative prompt"
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 30,
      "x-order": 10,
      "description": "Number of inference steps"
    },
    "control_guidance_end": {
      "type": "number",
      "title": "Control Guidance End",
      "default": 1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 8,
      "description": "Controlnet guidance end"
    },
    "control_guidance_start": {
      "type": "number",
      "title": "Control Guidance Start",
      "default": 0.01,
      "maximum": 1,
      "minimum": 0,
      "x-order": 7,
      "description": "Controlnet guidance start"
    },
    "controlnet_conditioning_scale": {
      "type": "number",
      "title": "Controlnet Conditioning Scale",
      "default": 0.7,
      "maximum": 1,
      "minimum": 0,
      "x-order": 6,
      "description": "control 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"
}