AI Cinematic Color Grading

Overview

Color grading shapes the emotional impact of video—but achieving cinematic looks traditionally requires significant expertise and time. AI-assisted grading tools are changing what’s possible, enabling faster workflows and sophisticated looks without years of colorist training. This course teaches video editors and filmmakers to leverage these tools effectively.

You’ll learn AI-assisted grading workflows, achieve style matching and cinematic looks, maintain consistency across scenes and projects, implement quality control for artifact detection, and integrate AI grading with traditional color tools. Whether you’re grading short-form content or feature work, you’ll achieve professional results more efficiently.

Format: 1 Day | VILT

Book This Class

Who Should Attend

  • Video editors seeking grading efficiency
  • Filmmakers developing signature looks
  • Colorists exploring AI assistance
  • Anyone working with video color

What You’ll Learn

  • Apply AI-assisted color grading workflows
  • Achieve style matching and cinematic looks
  • Maintain consistency across scenes and projects
  • Implement quality control and artifact detection
  • Integrate AI with traditional grading tools
  • Build efficient color workflows

Course Outline

Module 1: AI Color Grading Landscape

  • Available AI grading tools and capabilities
  • How AI approaches color correction
  • Quality expectations and limitations
  • When AI grading is appropriate

Module 2: AI-Assisted Grading Workflows

  • Automatic correction and enhancement
  • AI-suggested grades and looks
  • Iterating on AI suggestions
  • Combining AI and manual adjustments

Module 3: Style Matching

  • Matching looks from reference images or video
  • Achieving specific cinematic styles
  • Creating and applying custom looks
  • Building a library of AI-assisted grades

Module 4: Scene Consistency

  • Maintaining look across shots
  • Shot matching with AI assistance
  • Handling challenging lighting situations
  • Project-wide consistency strategies

Module 5: Quality Control

  • Identifying AI grading artifacts
  • Quality assessment workflows
  • When AI grades need manual refinement
  • Final output review

Module 6: Integration with Traditional Tools

  • Using AI with DaVinci Resolve, Premiere, and other NLEs
  • Workflow positioning: when to use AI
  • Combining AI speed with colorist precision
  • Building hybrid workflows

Prerequisites & Technical Requirements

  • Color grading fundamentals
  • AI grading tools (various options discussed in class)

Customization Options

This course can focus on your specific video types and grading challenges. We can work with your existing color workflow and develop AI integration strategies that complement your creative approach.

Book This Class