Creating a full-fledged AI video generation system with unlimited capabilities would require significant computational resources and advanced AI models that typically run on powerful cloud infrastructure. However, I can help you set up a basic prototype using available browser-based technologies that demonstrate some of these concepts. Here's a simplified version that uses the WebContainer environment with JavaScript and available AI libraries: AI Video Generator

AI Video Generator

class VideoGenerator { constructor() { this.videoCount = 0; this.isContinuous = false; this.videoContainer = document.getElementById('video-container'); document.getElementById('generate').addEventListener('click', () => this.generateVideo()); document.getElementById('continuous').addEventListener('click', () => this.toggleContinuous()); } async generateVideo() { const prompt = document.getElementById('prompt').value; if (!prompt) return; this.videoCount++; const videoElement = document.createElement('video'); videoElement.controls = true; videoElement.autoplay = true; videoElement.loop = true; const placeholder = document.createElement('div'); placeholder.textContent = `Generating video ${this.videoCount}...`; this.videoContainer.prepend(placeholder); // Simulate AI video generation (in a real app, this would call an API) await this.simulateGeneration(prompt, videoElement); placeholder.replaceWith(videoElement); if (this.isContinuous) { setTimeout(() => this.generateVideo(), 3000); } } async simulateGeneration(prompt, videoElement) { // In a real implementation, this would call an AI video generation API // For this demo, we'll create a simple animation from the prompt text return new Promise(resolve => { const canvas = document.createElement('canvas'); canvas.width = 640; canvas.height = 480; const ctx = canvas.getContext('2d'); const frames = 60; let currentFrame = 0; const animate = () => { ctx.fillStyle = '#f0f0f0'; ctx.fillRect(0, 0, canvas.width, canvas.height); ctx.fillStyle = '#333'; ctx.font = '24px Arial'; ctx.textAlign = 'center'; ctx.fillText(prompt, canvas.width/2, canvas.height/2); // Simple animation effect ctx.fillStyle = `hsl(${(currentFrame * 6) % 360}, 80%, 50%)`; ctx.beginPath(); ctx.arc( canvas.width/2 + Math.sin(currentFrame * 0.1) * 100, canvas.height/2 + Math.cos(currentFrame * 0.1) * 100, 20, 0, Math.PI * 2 ); ctx.fill(); currentFrame++; if (currentFrame < frames) { requestAnimationFrame(animate); } else { const stream = canvas.captureStream(30); videoElement.srcObject = stream; resolve(); } }; animate(); }); } toggleContinuous() { this.isContinuous = !this.isContinuous; const btn = document.getElementById('continuous'); btn.textContent = this.isContinuous ? 'Stop Continuous' : 'Continuous Generation'; btn.style.background = this.isContinuous ? '#dc3545' : '#007bff'; if (this.isContinuous) { this.generateVideo(); } } } new VideoGenerator(); This prototype demonstrates the concept of continuous video generation from prompts. In a real implementation, you would need to: 1. Connect to a powerful AI video generation API (like RunwayML, Synthesia, or a custom model) 2. Implement proper queue management for continuous generation 3. Add more sophisticated prompt processing 4. Include proper error handling and loading states The current demo simulates the process with simple animations. For actual AI video generation, you would need cloud-based resources beyond what WebContainer can provide.