fabiwlf/cog-resemble-enhance | Run with an API on Replicate

Input

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input_audio

*file

Input audio file

solver

string

Solver to use

Default: "Midpoint"

number_function_evaluations

integer

(minimum: 1, maximum: 128)

CFM Number of function evaluations to use

Default: 64

prior_temperature

number

(minimum: 0, maximum: 1)

CFM Prior temperature to use

Default: 0.5

denoise_flag

boolean

Denoise the audio

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=fabiwlf/cog-resemble-enhance

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run fabiwlf/cog-resemble-enhance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fabiwlf/cog-resemble-enhance:8e17f772a8c308cbf4a39a4feb5cc9d65d306cd1426e1cf201ffe4ff8b62d255",
  {
    input: {
      solver: "Midpoint",
      input_audio: "https://replicate.delivery/pbxt/N45R1IjBI9EASYAY2tajOXL4kbnBCCa1hT5fvJHpeDYEerUp/Podcast_The_Buttery_Journey__Unfolding_Croissant_History.wav",
      denoise_flag: false,
      prior_temperature: 0.5,
      number_function_evaluations: 64
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run fabiwlf/cog-resemble-enhance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fabiwlf/cog-resemble-enhance:8e17f772a8c308cbf4a39a4feb5cc9d65d306cd1426e1cf201ffe4ff8b62d255",
    input={
        "solver": "Midpoint",
        "input_audio": "https://replicate.delivery/pbxt/N45R1IjBI9EASYAY2tajOXL4kbnBCCa1hT5fvJHpeDYEerUp/Podcast_The_Buttery_Journey__Unfolding_Croissant_History.wav",
        "denoise_flag": False,
        "prior_temperature": 0.5,
        "number_function_evaluations": 64
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run fabiwlf/cog-resemble-enhance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "fabiwlf/cog-resemble-enhance:8e17f772a8c308cbf4a39a4feb5cc9d65d306cd1426e1cf201ffe4ff8b62d255",
    "input": {
      "solver": "Midpoint",
      "input_audio": "https://replicate.delivery/pbxt/N45R1IjBI9EASYAY2tajOXL4kbnBCCa1hT5fvJHpeDYEerUp/Podcast_The_Buttery_Journey__Unfolding_Croissant_History.wav",
      "denoise_flag": false,
      "prior_temperature": 0.5,
      "number_function_evaluations": 64
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

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Generated in

1 minute 35 seconds

Tweak it Iterate in playground Share Report View full prediction

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This is an implementation of ResembleAI/resemble-enhance as a Cog model.

Optimized version of lucataco/resemble-enhance