myaiteam2/audio-mastering

myaiteam2 / audio-mastering

Public
9 runs

Run myaiteam2/audio-mastering 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
input_file	string		Audio to upsample
ddim_steps	integer	50 Min: 10 Max: 500	Number of inference steps
guidance_scale	number	3.5 Min: 1 Max: 20	Scale for classifier free guidance
seed	integer		Random seed. Leave blank to randomize the seed

{
  "type": "object",
  "title": "Input",
  "required": [
    "input_file"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 3,
      "description": "Random seed. Leave blank to randomize the seed"
    },
    "ddim_steps": {
      "type": "integer",
      "title": "Ddim Steps",
      "default": 50,
      "maximum": 500,
      "minimum": 10,
      "x-order": 1,
      "description": "Number of inference steps"
    },
    "input_file": {
      "type": "string",
      "title": "Input File",
      "format": "uri",
      "x-order": 0,
      "description": "Audio to upsample"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 3.5,
      "maximum": 20,
      "minimum": 1,
      "x-order": 2,
      "description": "Scale for classifier free guidance"
    }
  }
}

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"
}