This paper introduces 360DVD, a pipeline for controllable 360-degree panorama video generation. The method leverages text prompts and motion guidance to animate personalized text-to-image (T2I) models. It utilizes a newly proposed dataset, WEB360, which contains 2,000 panoramic video-text pairs, to train a 360-Adapter that transforms pre-trained T2V models for panorama video generation. The 360-Adapter is designed to handle the unique challenges of generating 360-degree videos, including content distribution, motion patterns, and continuity at the ends of the video. Additionally, the paper proposes 360 Enhancement Techniques, including a latitude-aware loss and mechanisms to enhance continuity and motion quality. These techniques improve the quality and coherence of generated panorama videos. The method is evaluated on various benchmarks and demonstrates superior performance in generating high-quality, high-diversity, and more consistent 360-degree panorama videos. The results show that 360DVD can generate text-aligned, coherent, and high-quality 360-degree panorama videos with various styles. The project page is available at https://akaneqwq.github.io/360DVD/.This paper introduces 360DVD, a pipeline for controllable 360-degree panorama video generation. The method leverages text prompts and motion guidance to animate personalized text-to-image (T2I) models. It utilizes a newly proposed dataset, WEB360, which contains 2,000 panoramic video-text pairs, to train a 360-Adapter that transforms pre-trained T2V models for panorama video generation. The 360-Adapter is designed to handle the unique challenges of generating 360-degree videos, including content distribution, motion patterns, and continuity at the ends of the video. Additionally, the paper proposes 360 Enhancement Techniques, including a latitude-aware loss and mechanisms to enhance continuity and motion quality. These techniques improve the quality and coherence of generated panorama videos. The method is evaluated on various benchmarks and demonstrates superior performance in generating high-quality, high-diversity, and more consistent 360-degree panorama videos. The results show that 360DVD can generate text-aligned, coherent, and high-quality 360-degree panorama videos with various styles. The project page is available at https://akaneqwq.github.io/360DVD/.