benbjurstrom/replicate-php

A PHP client for the Replicate API

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benbjurstrom

v0.3.0 2024-02-15 16:52 UTC

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Last update: 2024-04-25 17:48:17 UTC


README

This is a framework-agnostic PHP client for Replicate.com built on the amazing Saloon v3 🤠 library. Use it to easily interact with machine learning models such as Stable Diffusion right from your PHP application.

Latest Version on Packagist GitHub Tests Action Status

Table of contents

🚀 Quick start

Install with composer.

composer require benbjurstrom/replicate-php

Create a new api instance.

use BenBjurstrom\Replicate\Replicate;
...

$api = new Replicate(
    apiToken: $_ENV['REPLICATE_API_TOKEN'],
);

Then use it to invoke your model (or in replicate terms "create a prediction").

$version = 'db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf';
$input = [
    'model' => 'stable-diffusion-2-1',
    'prompt' => 'a photo of an astronaut riding a horse on mars',
    'negative_prompt' => 'moon, alien, spaceship',
    'width' => 768,
    'height' => 768,
    'num_inference_steps' => 50,
    'guidance_scale' => 7.5,
    'scheduler' => 'DPMSolverMultistep',
    'seed' => null,
];

$data = $api->predictions()->create($version, $input);
$data->id; // yfv4cakjzvh2lexxv7o5qzymqy

Note that the input parameters will vary depending on what version (model) you're using. In this example version db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf is a Stable Diffusion 2.1 model optimized for speed.

Using with Laravel

Begin by adding your credentials to your services config file.

// config/services.php
'replicate' => [
    'api_token' => env('REPLICATE_API_TOKEN'),
],

Bind the Replicate class in a service provider.

// app/Providers/AppServiceProvider.php
public function register()
{
    $this->app->bind(Replicate::class, function () {
        return new Replicate(
            apiToken: config('services.replicate.api_token'),
        );
    });
}

And use anywhere in your application.

$data = app(Replicate::class)->predictions()->get($id);

Test your integration using Saloon's amazing response recording.

use Saloon\Laravel\Saloon; // composer require sammyjo20/saloon-laravel "^2.0"
...
Saloon::fake([
    MockResponse::fixture('getPrediction'),
]);

$id = 'yfv4cakjzvh2lexxv7o5qzymqy';

// The initial request will check if a fixture called "getPrediction" 
// exists. Because it doesn't exist yet, the real request will be
// sent and the response will be recorded to tests/Fixtures/Saloon/getPrediction.json.
$data = app(Replicate::class)->predictions()->get($id);

// However, the next time the request is made, the fixture will 
// exist, and Saloon will not make the request again.
$data = app(Replicate::class)->predictions()->get($id);

Response Data

All responses are returned as data objects. Detailed information can be found by inspecting the following class properties:

Webhooks

Replicate allows you to configure a webhook to be called when your prediction is complete. To do so chain withWebhook($url) onto your api instance before calling the create method. For example:

$api->predictions()->withWebhook('https://www.example.com/webhook')->create($version, $input);
$data->id; // la5xlbbrfzg57ip5jlx6obmm5y

Available Prediction Methods

get()

Use to get details about an existing prediction. If the prediction has completed the results will be under the output property.

use BenBjurstrom\Replicate\Data\PredictionData;
...
$id = 'la5xlbbrfzg57ip5jlx6obmm5y'
/* @var PredictionData $data */
$data = $api->predictions()->get($id);
$data->output[0]; // https://replicate.delivery/pbxt/6UFOVtl1xCJPAFFiTB2tfveYBNRLhLmJz8yMQAYCOeZSFhOhA/out-0.png

list()

Use to get a cursor paginated list of predictions. Returns an PredictionsData object.

use BenBjurstrom\Replicate\Data\PredictionsData
...

/* @var PredictionsData $data */
$data = $api->predictions()->list(
    cursor: '123', // optional
);

$data->results[0]->id; // la5xlbbrfzg57ip5jlx6obmm5y

create()

Use to create a new prediction (invoke a model). Returns an PredictionData object.

use BenBjurstrom\Replicate\Data\PredictionData;
...
$version = '5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa';
$input = [
    'text' => 'Alice'
];

/* @var PredictionData $data */
$data = $api->predictions()
    ->withWebhook('https://www.example.com/webhook') // optional
    ->create($version, $input);
$data->id; // la5xlbbrfzg57ip5jlx6obmm5y

Credits

License

The MIT License (MIT). Please see License File for more information.