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,
});

You can override the fetch property to add custom behavior to client requests, such as injecting headers or adding log statements.

client.fetch = (url, options) => {
  const headers = new Headers(options && options.headers);
  headers.append("X-Custom-Header", "some value");

  console.log("fetch", { url, ...options, headers });

  return fetch(url, { ...options, headers });
};

`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.stream`	boolean	Requests a URL for streaming output output
`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",
  "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,
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq",
    "cancel": "https://api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq/cancel",
    "stream": "https://streaming.api.replicate.com/v1/predictions/ufawqhfynnddngldkgtslldrkq" // Present only if `options.stream` is `true`
  }
}

Streaming

Specify the stream option when creating a prediction to request a URL to receive streaming output using server-sent events (SSE).

If the requested model version supports streaming, then the returned prediction will have a stream entry in its urls property with a URL that you can use to construct an EventSource.

if (prediction && prediction.urls && prediction.urls.stream) {
  const source = new EventSource(prediction.urls.stream, { withCredentials: true });

  source.addEventListener("output", (e) => {
    console.log("output", e.data);
  });

  source.addEventListener("error", (e) => {
    console.error("error", JSON.parse(e.data));
  });

  source.addEventListener("done", (e) => {
    source.close();
    console.log("done", JSON.parse(e.data));
  });
}

A prediction's event stream consists of the following event types:

event	format	description
`output`	plain text	Emitted when the prediction returns new output
`error`	JSON	Emitted when the prediction returns an error
`done`	JSON	Emitted when the prediction finishes

A done event is emitted when a prediction finishes successfully, is cancelled, or produces an error.

`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`

Use the training API to fine-tune language models to make them better at a particular task. To see what language models currently support fine-tuning, check out Replicate's collection of trainable language models.

If you're looking to fine-tune image models, check out Replicate's guide to fine-tuning image models.

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
}

Warning If you try to fine-tune a model that doesn't support training, you'll get a 400 Bad Request response from the server.

`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.

Name		Name	Last commit message	Last commit date
Latest commit History 119 Commits
.github/workflows		.github/workflows
.vscode		.vscode
lib		lib
.editorconfig		.editorconfig
.eslintrc.js		.eslintrc.js
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
index.d.ts		index.d.ts
index.js		index.js
index.test.ts		index.test.ts
jest.config.js		jest.config.js
jsconfig.json		jsconfig.json
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json

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Replicate Node.js client

Installation

Usage

API

Constructor

`replicate.models.get`

`replicate.models.versions.list`

`replicate.models.versions.get`

`replicate.collections.get`

`replicate.predictions.create`

Streaming

`replicate.predictions.get`

`replicate.predictions.cancel`

`replicate.predictions.list`

`replicate.trainings.create`

`replicate.trainings.get`

`replicate.trainings.cancel`

`replicate.trainings.list`

`replicate.paginate`

`replicate.request`

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Replicate Node.js client

Installation

Usage

API

Constructor

replicate.models.get

replicate.models.versions.list

replicate.models.versions.get

replicate.collections.get

replicate.predictions.create

Streaming

replicate.predictions.get

replicate.predictions.cancel

replicate.predictions.list

replicate.trainings.create

replicate.trainings.get

replicate.trainings.cancel

replicate.trainings.list

replicate.paginate

replicate.request

TypeScript

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`replicate.models.get`

`replicate.models.versions.list`

`replicate.models.versions.get`

`replicate.collections.get`

`replicate.predictions.create`

`replicate.predictions.get`

`replicate.predictions.cancel`

`replicate.predictions.list`

`replicate.trainings.create`

`replicate.trainings.get`

`replicate.trainings.cancel`

`replicate.trainings.list`

`replicate.paginate`

`replicate.request`

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