Automating Blender with Python Event Handlers
Learn how to use Blender’s Python API to listen to events and automate workflows. This guide covers handlers and modal operators with practical examples for production pipelines.
Learn how to use Blender’s Python API to listen to events and automate workflows. This guide covers handlers and modal operators with practical examples for production pipelines.
Learn how to integrate Kitsu with Telegram by building a bot that listens to production events and sends notifications. This guide explains how to connect Kitsu events, trigger messages, and create simple chat commands for production workflows.
Learn what retopology is and why it’s essential for animation. This guide walks through the retopology workflow in Blender, from automated remeshing to manual topology cleanup for production-ready 3D models.
Learn how to use the Kitsu Event API and webhooks to build reactive animation pipelines. Trigger automation instantly on asset creation, task updates, and publishes without polling or manual hand-offs.
Learn how to run Blender Flamenco without a NAS by using Kitsu as asynchronous storage. This guide explains custom Flamenco job types that fetch assets from Kitsu, render locally, and upload results back automatically.
Learn how to use the Gazu Python SDK to extract production data from Kitsu and generate custom, branded PDF reports. Automate progress tracking, task summaries, and stakeholder updates without manual copy-paste work.
Learn how to create, export, and share Kitsu playlists using Python. This guide shows how to extract playlist data, download previews into a clean folder structure, and package everything for offline or client-friendly reviews.
Learn how to build a self-hosted Blender render farm using Flamenco. This guide walks through setup, shared storage, workers, and scaling strategies to help artists render faster using the hardware they already own.
Learn how to package Kitsu workflows into a standalone command-line tool using Python, Gazu, and PyInstaller. This guide covers CLI design, interactive prompts, and compiling a single executable for reliable deployment across studios and render farms.