Summary

AICON is a creator-focused, highly flexible AI system for automated movie generation, transforming scripts into film-quality videos with integrated distribution. It simplifies the complex production pipeline, enabling individuals to produce cinematic works efficiently.

How It Works

The platform automates film production via an AI Movie Studio that uses LLMs for script analysis, scene breakdown, and directorial cues. It ensures character consistency through visual reference techniques and generates dynamic transitions. An AI Picture Narration tool accelerates short video creation by segmenting text, generating visual prompts, batch-producing assets (images, TTS), and auto-rendering synchronized videos.

Quick Start & Requirements

Deployment is via Docker. Clone the repo, configure environment variables by editing .env.production.example to .env.production, and run docker-compose -f docker-compose.prod.yml up -d. Access frontend at http://localhost and API at http://localhost:8000. Crucially, external AI model API keys (e.g., from https://api.aiconapi.me/) must be obtained and configured. Detailed deployment and usage guides are provided.

Highlighted Details

• AI Movie Studio: End-to-end automated movie production from script to final video.
• Character Consistency Engine: Ensures uniform character appearance across scenes via reference images.
• Advanced Model Support: Integrates VEO3.1 4K models for high-quality video generation.
• Automated Distribution: One-click publishing to Bilibili with auto-generated titles/tags.
• Picture Narration Tool: Streamlined short video creation with intelligent analysis and batch asset generation.

Maintenance & Community

Recent updates include Docker image v1.1.0 (Jan 23, 2026) and the launch of an internal beta online site (Jan 15, 2026). An internal testing exchange group is available for updates and support.

Licensing & Compatibility

Licensed under Apache License 2.0, permitting commercial use and integration into closed-source projects.

Limitations & Caveats

The official online site is in internal beta. The system depends on external intermediary API services for AI model access, introducing a dependency and potential costs. Docker is the primary deployment method.