Generative Fill and Ai Inpainting Workflows

~60 min · 15 stations

Generative Fill and Ai Inpainting Workflows is a self-paced learning path in Visual Arts & Photography, free to read, written at General Public / 9th Grade reading level. Across 15 structured stations, you will work through the core ideas step by step, each with a short quiz to check your understanding. By the end you will be able to define core concepts of generative image modification; identify key elements of raster image composition; understand how neural networks process visual prompts.

Conductor

The Conductor

Welcome aboard the digital canvas express. We are mapping the future of image editing, where pixels obey your commands and imagination dictates the final result.

What you will learn

Complete each station to unlock the next.

FOUNDATION

Establishes the core vocabulary and essential context you need before going further.

Define core concepts of generative image modification

Station 01: Introduction to AI Inpainting

Identify key elements of raster image composition

Station 02: Digital Canvas Basics

Understand how neural networks process visual prompts

Station 03: The Generative Model

CORE CONCEPTS

Unpacks the ideas and principles that the subject is built on.

Master precise area isolation for AI processing

Station 04: Selection Techniques

Compose effective text descriptions for AI generation

Station 05: Prompt Engineering

Analyze how AI maintains image consistency

Station 06: Contextual Awareness

Apply upscaling methods to generated content

Station 07: Resolution Scaling

MECHANICS

Examines how things actually work — the processes, rules, and systems in action.

Execute full inpainting sequences in software

Station 08: Inpainting Workflow

Perform canvas extension tasks using AI

Station 09: Generative Expansion

Remove unwanted elements using generative fill

Station 10: Object Removal

APPLICATION

Puts knowledge to use through real-world scenarios and practical problems.

Match lighting and texture in generated areas

Station 11: Style Matching

Refine AI outputs through repeated generation

Station 12: Iterative Refinement

Develop advanced masking for complex scenes

Station 13: Masking Strategy

SYNTHESIS

Connects everything together and explores broader implications and open questions.

Integrate AI workflows into design pipelines

Station 14: Project Integration

Evaluate ethical implications of generative media

Station 15: Ethical Considerations

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General Public / 9th GradeAI Generated · gemini-3.1-flash-lite