javascript

livepeer_ai_runner

LivepeerAiRunner - JavaScript client for livepeer_ai_runner An application to run AI pipelines This SDK is automatically generated by the OpenAPI Generator project:

• API version: 0.1.0
• Package version: 0.1.0
• Generator version: 7.5.0
• Build package: org.openapitools.codegen.languages.JavascriptClientCodegen

Installation

For Node.js

npm

To publish the library as a npm, please follow the procedure in "Publishing npm packages".

Then install it via:

npm install livepeer_ai_runner --save

Finally, you need to build the module:

npm run build

Local development

To use the library locally without publishing to a remote npm registry, first install the dependencies by changing into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:

npm install

Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:

npm link

To use the link you just defined in your project, switch to the directory you want to use your livepeer_ai_runner from, and run:

npm link /path/to/<JAVASCRIPT_CLIENT_DIR>

Finally, you need to build the module:

npm run build

git

If the library is hosted at a git repository, e.g.https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:

    npm install GIT_USER_ID/GIT_REPO_ID --save

For browser

The library also works in the browser environment via npm and browserify. After following the above steps with Node.js and installing browserify with npm install -g browserify, perform the following (assuming main.js is your entry file):

browserify main.js > bundle.js

Then include bundle.js in the HTML pages.

Webpack Configuration

Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:

module: {
  rules: [
    {
      parser: {
        amd: false
      }
    }
  ]
}

Getting Started

Please follow the installation instruction and execute the following JS code:

var LivepeerAiRunner = require('livepeer_ai_runner');

var defaultClient = LivepeerAiRunner.ApiClient.instance;
// Configure Bearer access token for authorization: HTTPBearer
var HTTPBearer = defaultClient.authentications['HTTPBearer'];
HTTPBearer.accessToken = "YOUR ACCESS TOKEN"

var api = new LivepeerAiRunner.DefaultApi()
var prompt = "prompt_example"; // {String} 
var image = "/path/to/file"; // {File} 
var modelId = "''"; // {String} 
var opts = {
  'strength': 0.8, // {Number} 
  'guidanceScale': 7.5, // {Number} 
  'imageGuidanceScale': 1.5, // {Number} 
  'negativePrompt': "''", // {String} 
  'safetyCheck': true, // {Boolean} 
  'seed': 56, // {Number} 
  'numImagesPerPrompt': 1 // {Number} 
};
var callback = function(error, data, response) {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
};
api.imageToImage(prompt, image, modelId, opts, callback);

Documentation for API Endpoints

All URIs are relative to https://dream-gateway.livepeer.cloud

Class	Method	HTTP request	Description
LivepeerAiRunner.DefaultApi	imageToImage	POST /image-to-image	Image To Image
LivepeerAiRunner.DefaultApi	imageToVideo	POST /image-to-video	Image To Video
LivepeerAiRunner.DefaultApi	textToImage	POST /text-to-image	Text To Image
LivepeerAiRunner.DefaultApi	upscale	POST /upscale	Upscale

Documentation for Models

• LivepeerAiRunner.APIError
• LivepeerAiRunner.HTTPError
• LivepeerAiRunner.HTTPValidationError
• LivepeerAiRunner.HealthCheck
• LivepeerAiRunner.ImageResponse
• LivepeerAiRunner.Media
• LivepeerAiRunner.TextToImageParams
• LivepeerAiRunner.ValidationError
• LivepeerAiRunner.ValidationErrorLocInner
• LivepeerAiRunner.VideoResponse

Documentation for Authorization

Authentication schemes defined for the API:

HTTPBearer

• Type: Bearer authentication