March 9, 2025, California, USA — Open-source models are making text-to-video technology increasingly exciting. AI developer Ostris (@ostrisai) recently shared on X platform the results of his Wan2.1 LoRA model trained with his own photos. Using only about 20 photos and a consumer-grade RTX 4090 graphics card, he achieved astonishing video generation results. This achievement not only showcases the potential of open-source technology but also sparked a discussion on video LoRA training within the X community.

The DeepBeepMeep team recently released Wan2.1GP on GitHub, a video generation model optimized for users with low-end GPUs. Based on Alibaba's Wan2.1, this model aims to provide powerful video generation capabilities to those lacking access to high-performance GPU resources. The launch of Wan2.1GP marks a significant advancement in video generation technology, particularly within the open-source community. Image source note: Image generated by AI, licensed from Midjourney.

Recently, Tongyi announced the open-sourcing of its latest Tongyi Wanxiang large model, Wan2.1. Wan2.1 is an AI model focused on high-quality video generation. With its excellent performance in handling complex movements, reproducing realistic physics, enhancing cinematic quality, and improving instruction following, it has become the preferred tool for creators, developers, and businesses embracing the AI era.