Stability AI recently unveiled an innovative artificial intelligence model named “Stable Video Diffusion,” crafted to create videos from textual inputs. This development marks a significant milestone, positioning Stability AI as a frontrunner in the realm of AI-supported technologies, akin to OpenAI.
Stable Video Diffusion represents an AI model that is in the nascent phase of its development, remaining currently unavailable to the broader public.
Nonetheless, select retail and commercial licensees of Stability AI’s technology have been granted early access to test and explore the capabilities of this novel AI model. The preliminary examples demonstrated for Stable Video Diffusion indicate that the technology is not only promising but also remarkably advanced in its functional capacity.
To encapsulate, Stability AI has launched Stable Video Diffusion, an AI model adept at converting text inputs into images, and subsequently, into videos. Although it is still under development, its potential impact across various sectors is immense.
Here are some sample videos produced with Stable Video Diffusion:
Stability AI has unveiled a groundbreaking artificial intelligence model named Stable Video Diffusion, which is capable of generating videos in two different output formats: SVD and SVD-XT. The SVD format is designed to produce videos from 14 frames at a resolution of 576×1024 pixels, while the SVD-XT version can extend this to 24 frames, with both variants offering frame rates ranging from 3 to 30 frames per second.
This innovative model has undergone rigorous training, starting with millions of videos and subsequently being fine-tuned with around a million videos. Although the company claims these videos are royalty-free and sourced from public databases, the specifics of the data acquisition process have not been disclosed, sparking curiosity and concerns regarding the origins of this
Stability AI has tailored its Stable Video Diffusion model chiefly for commercial use, focusing on industries such as advertising, education, and entertainment. This technology aims to simplify workflows within these sectors. However, the possibility of misuse, particularly concerning deepfake technology, raises significant concerns.
To counteract potential misuse by individuals, Stable Video Diffusion has integrated several security measures. These include prohibiting rearrangements and ensuring that the faces produced in videos do not match specific textual descriptions.
Moreover, the model restricts the generation of visuals that are characterized by predominantly static or slow-moving camera effects. The efficacy of these precautions in safeguarding consumers, though, is yet to be determined.
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