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andreasjansson /musicgen-looper:f8140d04
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run andreasjansson/musicgen-looper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"andreasjansson/musicgen-looper:f8140d0457c2b39ad8728a80736fea9a67a0ec0cd37b35f40b68cce507db2366",
{
input: {
bpm: 140,
seed: -1,
top_k: 250,
top_p: 0,
variations: 4,
temperature: 1,
max_duration: 8,
model_version: "medium",
output_format: "wav",
classifier_free_guidance: 3
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run andreasjansson/musicgen-looper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"andreasjansson/musicgen-looper:f8140d0457c2b39ad8728a80736fea9a67a0ec0cd37b35f40b68cce507db2366",
input={
"bpm": 140,
"seed": -1,
"top_k": 250,
"top_p": 0,
"variations": 4,
"temperature": 1,
"max_duration": 8,
"model_version": "medium",
"output_format": "wav",
"classifier_free_guidance": 3
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run andreasjansson/musicgen-looper 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": "f8140d0457c2b39ad8728a80736fea9a67a0ec0cd37b35f40b68cce507db2366",
"input": {
"bpm": 140,
"seed": -1,
"top_k": 250,
"top_p": 0,
"variations": 4,
"temperature": 1,
"max_duration": 8,
"model_version": "medium",
"output_format": "wav",
"classifier_free_guidance": 3
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run andreasjansson/musicgen-looper using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/andreasjansson/musicgen-looper@sha256:f8140d0457c2b39ad8728a80736fea9a67a0ec0cd37b35f40b68cce507db2366 \
-i 'bpm=140' \
-i 'seed=-1' \
-i 'top_k=250' \
-i 'top_p=0' \
-i 'variations=4' \
-i 'temperature=1' \
-i 'max_duration=8' \
-i 'model_version="medium"' \
-i 'output_format="wav"' \
-i 'classifier_free_guidance=3'
To learn more, take a look at the Cog documentation.
Pull and run andreasjansson/musicgen-looper using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/andreasjansson/musicgen-looper@sha256:f8140d0457c2b39ad8728a80736fea9a67a0ec0cd37b35f40b68cce507db2366
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "bpm": 140, "seed": -1, "top_k": 250, "top_p": 0, "variations": 4, "temperature": 1, "max_duration": 8, "model_version": "medium", "output_format": "wav", "classifier_free_guidance": 3 } }' \ http://localhost:5000/predictions
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Output
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