Generative Workflow Pipeline

Generative Workflow Pipeline

Overview

The Generative Workflow Pipeline in ACT 3 AI orchestrates the transformation of story concepts into fully realized AI-generated video. It integrates multiple AI “workers,” handles scene structuring, and ensures consistency across all visual and narrative elements.

1. Pipeline Philosophy

ACT 3 AI treats the video creation process as a structured pipeline that blends storytelling with modular AI tools. Each step is built for iteration, allowing users to retain creative control while accelerating execution.

• Human-AI collaboration is core to every phase
• Story ideas are expanded into beat sheets, scripts, and shots
• AI modules specialize in writing, directing, cinematography, and set design

2. Workflow Hierarchy

The pipeline follows a hierarchical structure that organizes creative content at multiple levels:

• Idea → Act → Scene → Shot
• Each layer refines the previous one with additional detail
• Allows nonlinear editing and collaborative iteration

3. AI Worker Roles

Each AI “worker” module is responsible for a distinct creative task:

• AI Writer: Expands ideas into full scripts with scenes and dialogue
• AI Director: Structures pacing, emotion arcs, and visual storytelling
• AI Cinematographer: Defines camera angles, movements, lens choices
• AI Set Designer: Creates 2D/3D environments aligned with tone
• AI Casting & Clothing: Chooses digital actors and wardrobe

4. Shot-Level Generation

• Shots are the atomic unit of the pipeline
• Each shot includes:

 * Camera metadata
 * Actor motion/performance
 * Lighting parameters
 * Set and props

• Shots are linked to scenes to maintain continuity

5. Visual Pre-Production

• Location scouting and set design done virtually
• Lighting and cinematography simulated via sliders
• Real-time pre-visualizations for fast approvals

6. AI Task Execution

• AI tasks are executed as discrete TaskObjects
• Each step records inputs, outputs, and credits consumed
• Version history ensures rollback and experimentation

7. Review and Iteration

• Users can approve, reject, or refine each AI suggestion
• “Lock” mechanism preserves approved scenes
• Comments and feedback are integrated at shot and scene levels

8. Export & Final Render

• Final videos are rendered using backend models like:

 * Google Veo 3
 * Stable Diffusion SDXL
 * Runway AI
 * Flux
 * Comfy UI

• Export formats: ProRes, DCP, FBX, USD, MP4
• Supports batch rendering and cloud processing

9. Supported Modalities

• Text → Video
• Script → Pre-viz → Final render
• Motion capture → Digital actor animation
• Dialogue → Lip sync and expression matching

10. Key Features

• Real-time feedback loop between user and AI
• Style toggles (live-action, anime, cel-shaded, etc.)
• Metadata continuity across all scenes and assets
• Predictable credit-based metering per output quality tier

11. Roadmap Highlights

• Branching timelines for alternate cuts
• Collaborative co-editing and shot approvals
• Asset reuse across episodes or sequels
• Marketplace for shot templates and visual styles