Concepts

These pages explain how Ordinary Animator works at a model level -- not step-by-step instructions, but the underlying ideas that make the features coherent. They read best in order, in five groups.

The foundations -- the process and the data it runs on:

Concept	What it explains
The Production Pipeline	The nine phases from world-building to release, the episode plan, and how the app maps to them
Entities & the Data Model	The project -> episode -> scene -> shot hierarchy, asset entities, properties, and looks

Making media -- the generation stack, from the three building blocks down to the engine:

Concept	What it explains
Models, Workflows & Recipes	The three building blocks that turn an entity into media, how they nest, and how each gets made
Recipes & the Cookbook	How recipes chain steps together, how inputs link between steps, and what the Cookbook is
The Media Gallery	The pin-board for images, video, and audio -- shared across characters, locations, props, scenes, and shots
From Storyboard to Video	How a shot becomes a clip -- storyboards, media tagged by purpose, recipes, and scene-level review
ComfyUI Integration	What ComfyUI is, local vs Comfy Cloud, the queue model, and how workflows connect to recipes
OA Workflow Metadata	The note that tells the platform what your workflow is -- every field, and how to add one to a workflow that has none
App Inputs and Outputs	What the platform is allowed to fill in when it runs your workflow, what to call each one, and which are filled in for you

Choosing models -- how to read a model name and decide where it runs:

Concept	What it explains
Choosing the right model	Picking a model for your goal, your budget, and your hardware -- and how the assistant helps
Model families and version names	Families, versions and builds -- why a bigger number is not always a newer model
Model versions and quantization	Why one model comes in several files (fp16, fp8, GGUF) and which fits your graphics card
Comfy Cloud or local?	Pay per render with nothing to install, or run on your own hardware for free

Sound -- the dialogue pipeline:

Concept	What it explains
Audio & Voice Pipeline	How dialogue lines become audio: TTS engines, voice changer, recording, and merged tracks
Building Dialogue from Operations	The operations behind dialogue audio -- line-to-audio, record, voice changer, assemble, trim -- and the recipes built from them

The AI layer and reference:

Concept	What it explains
The AI Assistant	What the Assistant can do, voice vs text, and the agents that power it
Glossary	Our terminology -- our word for each thing, and the industry term it maps to