How To Generate Consistent Game Assets with AI - GPT 5.4, Sora 2, Image 1.5, Codex CLI

🚀 VibeGameDev —AI Game Dev Resources, Skills, Source Code & Playbook ► https://aiod.dev/8ab85a 🍄 Spriterrific — Generate Game Sprites with AI ►https://aiod.dev/98f191 🕵 FREE Resources + Weekly Insider Updates ►https://aiod.dev/e9d029 Think you still need to buy asset packs or spend weeks on pixel art? In this video, I’m showing you how to generate 100% custom, animated game assets without ever leaving the terminal. We’re moving past static images and solving the hardest problem in AI art: Character Consistency. Using the combined power of GPT 5.4 (Image Gen) and Sora 2, I’ll show you how to take a single "anchor frame" and turn it into a full suite of walk, run, jump, and attack animations. 🛠️ The Stack • Art Generation: GPT 5.4 (GPT Image 1.5) for high-fidelity base characters and "Anchor Frames." • Animation: Sora 2 for complex physics-based movement (walk cycles, death animations). • Engine: Phaser JS for the game logic and asset integration. 🚀 WHAT YOU’LL LEARN • The Anchor Frame Strategy: How to generate a base character that the AI can reference for perfect consistency. • Sora 2 for Spritesheets: Using video generation models to handle the "heavy lifting" of character movement. • The "No-App" Workflow: How to use the Codex CLI to prompt your art directly into your game files without opening Photoshop or a browser. • Normalization: Techniques to clean up AI-generated spritesheets and make them game-ready in seconds. 🕒 TIMESTAMPS 00:00 Intro 01:36 VibeGameDev.com 02:35 Project Overview 04:02 Step 1: Start with your whole game concept 06:05 Step 2: Generate a single character anchor frame 10:41 Step 3: Idle animation using pixel shifts 12:13 Step 4: Generate animation spritesheets 13:26 Step 5: Normalize animation spritesheets 16:24 Step 6: Limitations for walk cycles 17:38 Step 7: Using video generation models (Sora 2) for animations 21:14 Step 8: Project Setup 23:11 Step 9: The prompt and plan 25:09 Step 10: AskUserQuestion tool 30:13 Step 11: Saving the prompts and plan 32:00 Step 12: Version control with LazyGit 32:55 Step 13: Implementing the plan 33:42 Step 14: Results 39:02 Step 15: Bonus - Using reference animations 39:43 Step 16: Benefits of video generation models 40:58 Wrap-Up #vibecoding #aigamedev #gpt5 #sora2 #codex #indiedev #pixelart #generativeai #phaserjs #claudecode