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@pixi/prepare
Advanced tools
@pixi/prepare is a package that is part of the PixiJS library, which is used for 2D rendering in web applications. The @pixi/prepare module is specifically designed to optimize the performance of rendering by preloading and preparing assets before they are needed in the rendering process. This helps in reducing the rendering time and improving the overall performance of the application.
Preloading Assets
This feature allows you to preload textures and other assets before they are needed in the rendering process. By using the prepare plugin, you can upload textures to the GPU in advance, which helps in reducing the rendering time when the assets are actually needed.
const app = new PIXI.Application();
const prepare = app.renderer.plugins.prepare;
const texture = PIXI.Texture.from('image.png');
prepare.upload(texture, () => {
console.log('Texture is uploaded and ready to use');
});
Batching Uploads
This feature allows you to batch multiple assets together and upload them in a single operation. This is useful for optimizing the performance when you have multiple assets that need to be prepared at the same time.
const app = new PIXI.Application();
const prepare = app.renderer.plugins.prepare;
const textures = [PIXI.Texture.from('image1.png'), PIXI.Texture.from('image2.png')];
prepare.upload(textures, () => {
console.log('All textures are uploaded and ready to use');
});
preload-it is a general-purpose asset preloader for JavaScript applications. It can be used to preload images, videos, and other types of assets. While it is not specific to any rendering library like @pixi/prepare, it provides similar functionality in terms of preloading assets to improve performance. It is more versatile in terms of the types of assets it can handle, but it does not integrate directly with rendering libraries like PixiJS.
npm install @pixi/prepare
import '@pixi/canvas-prepare';
FAQs
Plugin to allow uploading textures to the GPU
The npm package @pixi/prepare receives a total of 123,975 weekly downloads. As such, @pixi/prepare popularity was classified as popular.
We found that @pixi/prepare demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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