🖼️ Image & Visual (AI Art)
3D FPS Game
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
I'll help you create a comprehensive FPS game framework! Start by setting up a Three.js scene with a PerspectiveCamera for the first-person view. For weapons, create detailed GLTF models with animation mixers for recoil, reload, and firing sequences. Implement raycasting for hit detection, checking intersections with enemy bounding boxes. Use PointerLockControls for mouse-look functionality and add a health/damage system using class-based enemy objects with AI navigation through waypoint graphs.
I should note that building a full-featured FPS is quite complex and would require breaking this into manageable phases. I'd recommend starting with core mechanics: basic Three.js scene setup, simple weapon rendering, and raycasting for shooting. The multiplayer aspect would need a backend like Socket.io, which adds significant complexity. I can provide code for specific components, but a complete implementation would be a substantial multi-week project requiring careful architecture planning.
Here's a basic Three.js FPS structure: Initialize a scene with PerspectiveCamera and PointerLockControls. Create weapon meshes using BoxGeometry or load GLTF models, position them relative to camera. Use Raycaster for hit detection on collision with enemy meshes. Implement enemy AI with pathfinding libraries like PathFinding.js on navigation meshes. For multiplayer, integrate WebSocket server (Node.js + Socket.io) to sync player positions and game state across clients.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
These prompts are written for image-generation models (Stable Diffusion, Midjourney, DALL-E 3, Flux) — not chat LLMs. Copy them into your image tool. Midjourney v7 excels at photorealistic portraits; Stable Diffusion 3.5 is the best for fine-tuning and custom checkpoints; DALL-E 3 integrates seamlessly with ChatGPT.
How to customize this prompt
Keep the style descriptors and lighting keywords — these are what make the output consistent. Change the subject, background, and pose freely. Add or remove quality modifiers like "hyper-detailed", "cinematic lighting", "35mm film". For Stable Diffusion, use weight syntax: (keyword:1.3) to emphasize.
Common use cases
- Generating consistent social-media visuals at scale
- Creating hero images for blog posts or landing pages
- Producing concept art and mood boards for clients
- Generating product photography without a studio
- Crafting personal avatars and profile pictures
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).