pseudoram/rvc-v2:d18e2e0a | Run with an API on Replicate

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pseudoram /rvc-v2:d18e2e0a

Playground API

Input

input_audio

file

Upload your audio file here.

rvc_model

string

RVC model for a specific voice. If using a custom model, this should match the name of the downloaded model. If a 'custom_rvc_model_download_url' is provided, this will be automatically set to the name of the downloaded model.

Default: "Obama"

custom_rvc_model_download_url

string

Shift + Return to add a new line

URL to download a custom RVC model. If provided, the model will be downloaded (if it doesn't already exist) and used for prediction, regardless of the 'rvc_model' value.

pitch_change

number

Adjust pitch of AI vocals in semitones. Use positive values to increase pitch, negative to decrease.

Default: 0

index_rate

number

(minimum: 0, maximum: 1)

Control how much of the AI's accent to leave in the vocals.

Default: 0.5

filter_radius

integer

(minimum: 0, maximum: 7)

If >=3: apply median filtering to the harvested pitch results.

Default: 3

rms_mix_rate

number

(minimum: 0, maximum: 1)

Control how much to use the original vocal's loudness (0) or a fixed loudness (1).

Default: 0.25

f0_method

string

Pitch detection algorithm. 'rmvpe' for clarity in vocals, 'mangio-crepe' for smoother vocals.

Default: "rmvpe"

crepe_hop_length

integer

When `f0_method` is set to `mangio-crepe`, this controls how often it checks for pitch changes in milliseconds.

Default: 128

protect

number

(minimum: 0, maximum: 0.5)

Control how much of the original vocals' breath and voiceless consonants to leave in the AI vocals. Set 0.5 to disable.

Default: 0.33

output_format

string

wav for best quality and large file size, mp3 for decent quality and small file size.

Default: "mp3"

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

npx create-replicate --model=pseudoram/rvc-v2

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 pseudoram/rvc-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pseudoram/rvc-v2:d18e2e0a6a6d3af183cc09622cebba8555ec9a9e66983261fc64c8b1572b7dce",
  {
    input: {
      protect: 0.33,
      f0_method: "rmvpe",
      rvc_model: "Obama",
      index_rate: 0.5,
      pitch_change: 0,
      rms_mix_rate: 0.25,
      filter_radius: 3,
      output_format: "mp3",
      crepe_hop_length: 128
    }
  }
);

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

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

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 pseudoram/rvc-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pseudoram/rvc-v2:d18e2e0a6a6d3af183cc09622cebba8555ec9a9e66983261fc64c8b1572b7dce",
    input={
        "protect": 0.33,
        "f0_method": "rmvpe",
        "rvc_model": "Obama",
        "index_rate": 0.5,
        "pitch_change": 0,
        "rms_mix_rate": 0.25,
        "filter_radius": 3,
        "output_format": "mp3",
        "crepe_hop_length": 128
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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 pseudoram/rvc-v2 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": "pseudoram/rvc-v2:d18e2e0a6a6d3af183cc09622cebba8555ec9a9e66983261fc64c8b1572b7dce",
    "input": {
      "protect": 0.33,
      "f0_method": "rmvpe",
      "rvc_model": "Obama",
      "index_rate": 0.5,
      "pitch_change": 0,
      "rms_mix_rate": 0.25,
      "filter_radius": 3,
      "output_format": "mp3",
      "crepe_hop_length": 128
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/pseudoram/rvc-v2@sha256:d18e2e0a6a6d3af183cc09622cebba8555ec9a9e66983261fc64c8b1572b7dce \
  -i 'protect=0.33' \
  -i 'f0_method="rmvpe"' \
  -i 'rvc_model="Obama"' \
  -i 'index_rate=0.5' \
  -i 'pitch_change=0' \
  -i 'rms_mix_rate=0.25' \
  -i 'filter_radius=3' \
  -i 'output_format="mp3"' \
  -i 'crepe_hop_length=128'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/pseudoram/rvc-v2@sha256:d18e2e0a6a6d3af183cc09622cebba8555ec9a9e66983261fc64c8b1572b7dce
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "protect": 0.33,
      "f0_method": "rmvpe",
      "rvc_model": "Obama",
      "index_rate": 0.5,
      "pitch_change": 0,
      "rms_mix_rate": 0.25,
      "filter_radius": 3,
      "output_format": "mp3",
      "crepe_hop_length": 128
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.