# Generative Workflows on the Render Network

<figure><img src="https://1286142079-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MKt2GmpnqwLIsi-Sh1Z%2Fuploads%2FAZuU3IQnRao0bnN9b53z%2FZenblocks%20hero.png?alt=media&#x26;token=894c84b4-fe82-403e-8bf1-ebe9fcb0035e" alt=""><figcaption><p>ZenBlocks by MHX</p></figcaption></figure>

Due to its parallelized computing architecture, the Render Network is a great tool for generative, code-based 3D workflows – enabling artists to concurrently render many generative permutations of a scene or 3D asset on thousands of high performance decentralized GPUs. \
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With the [Render Network API](https://know.rendernetwork.com/getting-started/using-the-render-network-manager-app-and-render-network-api) and with [Differential Uploading](https://know.rendernetwork.com/getting-started/using-the-render-network-manager-app-and-render-network-api/differential-uploads-via-the-render-network-manager-app), artists also have powerful tools to programmatically manage their rendering workflows – from scripting uploads to managing outputs – allowing them to integrate compute intensive coding principals in their 3D workflows.

Alongside 3D rendering tools [Dispersed](https://dispersed.com/), the Render Network's new general purposed dockerized AI / ML compute platform, offers artists access to a customizeable and composable compute protocol for generative processing needs.
