Stability AI Unveils ‘Stable Video Diffusion,’ a Groundbreaking AI Model for Generating Video from Images
Stability AI has introduced its latest innovation in artificial intelligence, the “Stable Video Diffusion.” This cutting-edge AI model is designed to animate existing images and generate videos. The new model represents a significant advancement for Stability AI, building on the success of its previous text-to-image model, “Stable Diffusion.”
In a press statement, the company announced that the state-of-the-art generative AI video model is now available in research preview. According to Stability AI, this marks a major milestone in the company’s mission to democratize generative AI video models.
Described as a natural extension of the existing Stable Diffusion text-to-image model, Stable Video Diffusion reaffirms the company’s commitment to expanding its capabilities across various modalities.
As part of the research preview, Stability AI has made the code for Stable Video Diffusion openly available on its GitHub repository. The company has also provided comprehensive technical details about the model’s capabilities in a dedicated research paper.
Stable Video Diffusion is presented in the form of two image-to-video models, each with the capacity to generate 14 and 25 frames. Notably, users can customize frame rates between 3 and 30 frames per second, providing flexibility in their creative endeavors.
While Stability AI is excited about the potential applications of Stable Video Diffusion, the company emphasizes that, at this stage, the model is not intended for real-world or commercial applications. Instead, Stability AI actively seeks user feedback to refine and enhance the model’s safety and quality aspects.
In addition to the Stable Video Diffusion, Stability AI has also announced its foray into 3D model creation with “Stable 3D.” This new tool aims to simplify the process of generating concept-quality textured 3D objects, targeting graphic designers, digital artists, and game developers.
Stability AI’s commitment to innovation and democratization of AI continues to drive its efforts to push the boundaries of generative models, offering users new and advanced tools for creative expression.
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