pitch correction on your voice
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Beginning of dialog window. Escape will cancel and close the window.
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Audio input file
Strategy for normalizing audio.
Default: "closest"
Output format for generated audio.
Default: "wav"
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run nateraw/autotune using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "nateraw/autotune:53d58aea27ccd949e5f9d77e4b2a74ffe90e1fa534295b257cea50f011e233dd", { input: { scale: "Gb:min", audio_file: "https://replicate.delivery/pbxt/KlypmfOy3eCR7nfLP2XFRvXbujUFjjoUfQtIXjVrfdmfpbty/nate_is_singing_Gb_minor.wav", output_format: "wav" } } ); // 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.
pip install replicate
import replicate
output = replicate.run( "nateraw/autotune:53d58aea27ccd949e5f9d77e4b2a74ffe90e1fa534295b257cea50f011e233dd", input={ "scale": "Gb:min", "audio_file": "https://replicate.delivery/pbxt/KlypmfOy3eCR7nfLP2XFRvXbujUFjjoUfQtIXjVrfdmfpbty/nate_is_singing_Gb_minor.wav", "output_format": "wav" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "nateraw/autotune:53d58aea27ccd949e5f9d77e4b2a74ffe90e1fa534295b257cea50f011e233dd", "input": { "scale": "Gb:min", "audio_file": "https://replicate.delivery/pbxt/KlypmfOy3eCR7nfLP2XFRvXbujUFjjoUfQtIXjVrfdmfpbty/nate_is_singing_Gb_minor.wav", "output_format": "wav" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2024-04-19T06:23:28.241776Z", "created_at": "2024-04-19T06:23:24.297000Z", "data_removed": false, "error": null, "id": "pchg10s4h5rgc0ceym39nxnkm8", "input": { "scale": "Gb:min", "audio_file": "https://replicate.delivery/pbxt/KlypmfOy3eCR7nfLP2XFRvXbujUFjjoUfQtIXjVrfdmfpbty/nate_is_singing_Gb_minor.wav", "output_format": "wav" }, "logs": null, "metrics": { "predict_time": 3.927591, "total_time": 3.944776 }, "output": "https://replicate.delivery/pbxt/6jyhVrZFPhoRAh28hwEtKkqPIKxYRELUBwnse0xR8Abwf7rSA/tmpldzs_qfinate_is_singing_Gb_minor_pitch_corrected.wav", "started_at": "2024-04-19T06:23:24.314185Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pchg10s4h5rgc0ceym39nxnkm8", "cancel": "https://api.replicate.com/v1/predictions/pchg10s4h5rgc0ceym39nxnkm8/cancel" }, "version": "53d58aea27ccd949e5f9d77e4b2a74ffe90e1fa534295b257cea50f011e233dd" }
This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
AudioSR: Versatile Audio Super-resolution at Scale
BAAI's bge-en-large-v1.5 for embedding text sequences
A capable large language model for natural language to SQL generation.
An auto-regressive causal LM created by combining 2x finetuned Llama-2 70B into one.
llama-2-70b-chat quantized with AWQ and served with vLLM
Mistral-7B-v0.1 fine tuned for chat with the OpenOrca dataset.
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input