This course comes from Teacher Ye's AI-Assisted Design Practical Case Course, centered on the latest AI technology applications in the game concept art industry, systematically breaking down the full AI implementation process and core ideas. The course avoids empty theory and instead starts from real project needs, guiding you through the complete path from creative ideation to final output.

The course covers practical cases such as realistic architecture, FPS characters, chibi characters, dark cartoon characters, and multiplayer KV, covering common design types in the current game design industry. Each lesson explains the design process, creative thinking, and operational techniques around a specific project, so you can apply what you learn directly to real work.

The core teaching tools include three major software programs: Stable Diffusion, Midjourney, and Photoshop. The course focuses on how the three work together: using SD to generate base assets, using MJ to control style direction, and using PS for refinement and compositing. Through repeated practice with multiple case sets, it helps you build a complete AI-assisted design workflow.

The course instructor is a senior practitioner in the game concept art industry with years of frontline project experience, and the course content closely follows the actual needs of the industry. Whether you are a designer looking to improve your personal skills or a manager hoping to introduce AI tools into your team's workflow, you can gain practical value from it.

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• 1.Realistic Architecture + Cyber Private Residence Scene Design (PS + Banana)
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• 2.Realistic FPS Female Rescue Character Real-Time Painting
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• 3.Batch Generation of a Full Set of Character Concept Design Drawings (Chibi Style / MJ)
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• 4.A Set of Character Illustrations in Dark Cartoon Style (MJ + Infinite Canvas Techniques)
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• 5.Dark Cartoon Style Multiplayer KV Production (PS + Image2)
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💡 Learning Tip: Tutorial content is based on industry practices at time of publication; please verify against current platform rules when learning.