Stable Video 3D (SV3D) represents a groundbreaking generative model driving advancements in 3D technology. Developed by Stability AI, SV3D builds upon the foundation of Stable Video Diffusion, offering enhanced quality and consistency across multiple views. This tool surpasses its predecessor, Stable Zero123, and other open-source alternatives like Zero123-XL, delivering superior performance. SV3D is available in two variants: SV3D_u generates orbital videos from single images without camera conditioning, while SV3D_p offers expanded functionality, supporting both single images and orbital views for creating 3D videos along specified camera paths. By integrating camera path conditioning into the Stable Video Diffusion image-to-video diffusion model, SV3D excels in producing multi-view videos of objects. This approach ensures robust generalization and consistency in generated outputs, enabling the creation of high-quality 3D meshes from single image inputs. SV3D supports both commercial and non-commercial usage, with model weights accessible on platforms like Hugging Face and detailed insights available through a comprehensive research paper. Furthermore, Stable Video 3D pioneers advancements in novel view synthesis (NVS) and 3D generation, facilitating coherent views from any perspective with exceptional generalization.