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Real-time AI video generation is finally here! In this video, I take a deep dive into "Self Forcing," a groundbreaking new open-source AI tool that can generate high-quality, stable video with incredibly low latency. We'll look at how it runs on cards like the RTX 4090, analyze its mind-blowing physics and motion generation, and put it head-to-head against competitors like Wan2.1 and CausVid. This new method fixes one of the biggest flaws in AI video—degradation over time—by forcing the model to learn from its own mistakes. Is this the future of interactive content and AI-powered creation? Watch the full breakdown to find out! Resources & Links 💻 Project Page: https://self-forcing.github.io/ 🐙 GitHub (Code): https://github.com/guandeh17/Self-For... 📄 Research Paper: https://arxiv.org/abs/2506.08009 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ► Buy me a Coffee: https://ko-fi.com/aiquestyt ► For business and collaboration, please reach out to: [email protected] ► Join me on X: https://x.com/AiquestAcademy ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Video Chapters (Timestamps) 00:00 - The End of Slow AI Video? 02:06 - The Live Demo & Real-Time Generation 02:36 - Examples: Unbelievable Physics & Motion 06:00 - Head-to-Head: Self Forcing vs. The Competition 06:57 - How It Works: The Self Forcing Breakthrough 08:26 - How To Run It: Code & Hardware Requirements (RTX 4090!) #AIVideo #GenerativeAI #OpenSource #RealTimeAI