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Replicate Node.js client

A Node.js client for Replicate. It lets you run models from your Node.js code, and everything else you can do with Replicate's HTTP API.

Warning This library can't interact with Replicate's API directly from a browser. For more information about how to build a web application check out our "Build a website with Next.js" guide.

Installation

Install it from npm:

npm install replicate

Usage

Create the client:

import Replicate from "replicate";

const replicate = new Replicate({
  // get your token from https://replicate.com/account
  auth: process.env.REPLICATE_API_TOKEN,
});

Run a model and await the result:

const model = "stability-ai/stable-diffusion:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478";
const input = {
  prompt: "a 19th century portrait of a raccoon gentleman wearing a suit",
};
const output = await replicate.run(model, { input });
// ['https://replicate.delivery/pbxt/GtQb3Sgve42ZZyVnt8xjquFk9EX5LP0fF68NTIWlgBMUpguQA/out-0.png']

You can also run a model in the background:

let prediction = await replicate.predictions.create({
  version: "27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478",
  input: {
    prompt: "painting of a cat by andy warhol",
  },
});

Then fetch the prediction result later:

prediction = await replicate.predictions.get(prediction.id);

Or wait for the prediction to finish:

prediction = await replicate.wait(prediction);
console.log(prediction.output);
// ['https://replicate.delivery/pbxt/RoaxeXqhL0xaYyLm6w3bpGwF5RaNBjADukfFnMbhOyeoWBdhA/out-0.png']

To run a model that takes a file input, convert its data into a base64-encoded data URI:

import { promises as fs } from "fs";

// Read the file into a buffer
const data = await fs.readFile("path/to/image.png");
// Convert the buffer into a base64-encoded string
const base64 = data.toString("base64");
// Set MIME type for PNG image
const mimeType = "image/png";
// Create the data URI
const dataURI = `data:${mimeType};base64,${base64}`;

const model = "nightmareai/real-esrgan:42fed1c4974146d4d2414e2be2c5277c7fcf05fcc3a73abf41610695738c1d7b";
const input = {
  image: dataURI,
};
const output = await replicate.run(model, { input });
// ['https://replicate.delivery/mgxm/e7b0e122-9daa-410e-8cde-006c7308ff4d/output.png']

API

Constructor

const replicate = new Replicate(options);
name type description
options.auth string Required. API access token
options.userAgent string Identifier of your app. Defaults to replicate-javascript/${packageJSON.version}
options.baseUrl string Defaults to https://api.replicate.com/v1
options.fetch function Fetch function to use. Defaults to globalThis.fetch

The client makes requests to Replicate's API using fetch. By default, the globalThis.fetch function is used, which is available on Node.js 18 and later, as well as Cloudflare Workers, Vercel Edge Functions, and other environments.

On earlier versions of Node.js and other environments where global fetch isn't available, you can install a fetch function from an external package like cross-fetch and pass it to the fetch option in the constructor.

import Replicate from "replicate";
import fetch from "cross-fetch";

const replicate = new Replicate({
  // get your token from https://replicate.com/account
  auth: process.env.REPLICATE_API_TOKEN,
  fetch: fetch,
});

replicate.models.get

const response = await replicate.models.get(model_owner, model_name);
name type description
model_owner string Required. The name of the user or organization that owns the model.
model_name string Required. The name of the model. 
{
  "url": "https://replicate.com/replicate/hello-world",
  "owner": "replicate",
  "name": "hello-world",
  "description": "A tiny model that says hello",
  "visibility": "public",
  "github_url": "https://github.com/replicate/cog-examples",
  "paper_url": null,
  "license_url": null,
  "latest_version": {
    /* ... */
  }
}

replicate.models.versions.list

const response = await replicate.models.versions.list(model_owner, model_name);
name type description
model_owner string Required. The name of the user or organization that owns the model.
model_name string Required. The name of the model. 
{
  "previous": null,
  "next": null,
  "results": [
    {
      "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
      "created_at": "2022-04-26T19:29:04.418669Z",
      "cog_version": "0.3.0",
      "openapi_schema": {
        /* ... */
      }
    },
    {
      "id": "e2e8c39e0f77177381177ba8c4025421ec2d7e7d3c389a9b3d364f8de560024f",
      "created_at": "2022-03-21T13:01:04.418669Z",
      "cog_version": "0.3.0",
      "openapi_schema": {
        /* ... */
      }
    }
  ]
}

replicate.models.versions.get

const response = await replicate.models.versions.get(model_owner, model_name, version_id);
name type description
model_owner string Required. The name of the user or organization that owns the model.
model_name string Required. The name of the model.
version_id string Required. The model version 
{
  "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
  "created_at": "2022-04-26T19:29:04.418669Z",
  "cog_version": "0.3.0",
  "openapi_schema": {
    /* ... */
  }
}

replicate.collections.get

const response = await replicate.collections.get(collection_slug);
name type description
collection_slug string Required. The slug of the collection. See http://replicate.com/collections

replicate.predictions.create

const response = await replicate.predictions.create(options);
name type description
options.version string Required. The model version
options.input object Required. An object with the model's inputs
options.webhook string An HTTPS URL for receiving a webhook when the prediction has new output
options.webhook_events_filter string[] You can change which events trigger webhook requests by specifying webhook events (start | output | logs | completed) 
{
  "id": "ufawqhfynnddngldkgtslldrkq",
  "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq",
    "cancel": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq/cancel"
  },
  "status": "succeeded",
  "input": {
    "text": "Alice"
  },
  "output": null,
  "error": null,
  "logs": null,
  "metrics": {},
  "created_at": "2022-04-26T22:13:06.224088Z",
  "started_at": null,
  "completed_at": null
}

replicate.predictions.get

const response = await replicate.predictions.get(prediction_id);
name type description
prediction_id number Required. The prediction id 
{
  "id": "ufawqhfynnddngldkgtslldrkq",
  "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq",
    "cancel": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq/cancel"
  },
  "status": "starting",
  "input": {
    "text": "Alice"
  },
  "output": null,
  "error": null,
  "logs": null,
  "metrics": {},
  "created_at": "2022-04-26T22:13:06.224088Z",
  "started_at": null,
  "completed_at": null
}

replicate.predictions.cancel

const response = await replicate.predictions.cancel(prediction_id);
name type description
prediction_id number Required. The prediction id 
{
  "id": "ufawqhfynnddngldkgtslldrkq",
  "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq",
    "cancel": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq/cancel"
  },
  "status": "canceled",
  "input": {
    "text": "Alice"
  },
  "output": null,
  "error": null,
  "logs": null,
  "metrics": {},
  "created_at": "2022-04-26T22:13:06.224088Z",
  "started_at": "2022-04-26T22:13:06.224088Z",
  "completed_at": "2022-04-26T22:13:06.224088Z"
}

replicate.predictions.list

const response = await replicate.predictions.list();

replicate.predictions.list() takes no arguments.

{
  "previous": null,
  "next": "https://api.replicate.com/v1/predictions?cursor=cD0yMDIyLTAxLTIxKzIzJTNBMTglM0EyNC41MzAzNTclMkIwMCUzQTAw",
  "results": [
    {
      "id": "jpzd7hm5gfcapbfyt4mqytarku",
      "version": "b21cbe271e65c1718f2999b038c18b45e21e4fba961181fbfae9342fc53b9e05",
      "urls": {
        "get": "https://api.replicate.com/v1/predictions/jpzd7hm5gfcapbfyt4mqytarku",
        "cancel": "https://api.replicate.com/v1/predictions/jpzd7hm5gfcapbfyt4mqytarku/cancel"
      },
      "source": "web",
      "status": "succeeded",
      "created_at": "2022-04-26T20:00:40.658234Z",
      "started_at": "2022-04-26T20:00:84.583803Z",
      "completed_at": "2022-04-26T20:02:27.648305Z"
    }
    /* ... */
  ]
}

replicate.trainings.create

const response = await replicate.trainings.create(model_owner, model_name, version_id, options);
name type description
model_owner string Required. The name of the user or organization that owns the model.
model_name string Required. The name of the model.
version string Required. The model version
options.destination string Required. The destination for the trained version in the form {username}/{model_name}
options.input object Required. An object with the model's inputs
options.webhook string An HTTPS URL for receiving a webhook when the training has new output
options.webhook_events_filter string[] You can change which events trigger webhook requests by specifying webhook events (start | output | logs | completed) 
{
  "id": "zz4ibbonubfz7carwiefibzgga",
  "version": "3ae0799123a1fe11f8c89fd99632f843fc5f7a761630160521c4253149754523",
  "status": "starting",
  "input": {
    "text": "..."
  },
  "output": null,
  "error": null,
  "logs": null,
  "started_at": null,
  "created_at": "2023-03-28T21:47:58.566434Z",
  "completed_at": null
}

replicate.trainings.get

const response = await replicate.trainings.get(training_id);
name type description
training_id number Required. The training id 
{
  "id": "zz4ibbonubfz7carwiefibzgga",
  "version": "3ae0799123a1fe11f8c89fd99632f843fc5f7a761630160521c4253149754523",
  "status": "succeeded",
  "input": {
    "data": "..."
    "param1": "..."
  },
  "output": {
    "version": "..."
  },
  "error": null,
  "logs": null,
  "webhook_completed": null,
  "started_at": "2023-03-28T21:48:02.402755Z",
  "created_at": "2023-03-28T21:47:58.566434Z",
  "completed_at": "2023-03-28T02:49:48.492023Z"
}

replicate.trainings.cancel

const response = await replicate.trainings.cancel(training_id);
name type description
training_id number Required. The training id 
{
  "id": "zz4ibbonubfz7carwiefibzgga",
  "version": "3ae0799123a1fe11f8c89fd99632f843fc5f7a761630160521c4253149754523",
  "status": "canceled",
  "input": {
    "data": "..."
    "param1": "..."
  },
  "output": {
    "version": "..."
  },
  "error": null,
  "logs": null,
  "webhook_completed": null,
  "started_at": "2023-03-28T21:48:02.402755Z",
  "created_at": "2023-03-28T21:47:58.566434Z",
  "completed_at": "2023-03-28T02:49:48.492023Z"
}

replicate.trainings.list

const response = await replicate.trainings.list();

replicate.trainings.list() takes no arguments.

{
  "previous": null,
  "next": "https://api.replicate.com/v1/trainings?cursor=cD0yMDIyLTAxLTIxKzIzJTNBMTglM0EyNC41MzAzNTclMkIwMCUzQTAw",
  "results": [
    {
      "id": "jpzd7hm5gfcapbfyt4mqytarku",
      "version": "b21cbe271e65c1718f2999b038c18b45e21e4fba961181fbfae9342fc53b9e05",
      "urls": {
        "get": "https://api.replicate.com/v1/trainings/jpzd7hm5gfcapbfyt4mqytarku",
        "cancel": "https://api.replicate.com/v1/trainings/jpzd7hm5gfcapbfyt4mqytarku/cancel"
      },
      "source": "web",
      "status": "succeeded",
      "created_at": "2022-04-26T20:00:40.658234Z",
      "started_at": "2022-04-26T20:00:84.583803Z",
      "completed_at": "2022-04-26T20:02:27.648305Z"
    }
    /* ... */
  ]
}

replicate.paginate

Pass another method as an argument to iterate over results that are spread across multiple pages.

This method is implemented as an async generator function, which you can use in a for loop or iterate over manually.

// iterate over paginated results in a for loop
for await (const page of replicate.paginate(replicate.predictions.list)) {
  /* do something with page of results */
}

// iterate over paginated results one at a time
let paginator = replicate.paginate(replicate.predictions.list);
const page1 = await paginator.next();
const page2 = await paginator.next();
// etc.

replicate.request

const response = await replicate.request(route, parameters);
name type description
options.route string Required. REST API endpoint path.
options.parameters object URL, query, and request body parameters for the given route.

The replicate.request() method is used by the other methods to interact with the Replicate API. You can call this method directly to make other requests to the API.

TypeScript

The Replicate constructor and all replicate.* methods are fully typed.

About

Node.js client for Replicate

replicate.com

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Readme

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Apache-2.0 license
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