Technology continues to improve with innovative applications in several areas. Artificial Intelligence (AI) has become the talk of the town for its state-of-the-art usability, thanks to various AI models, including Natural Language Processing (NLP), Large Language Model (LLM), Machine Learning (ML), and so on.
When every enterprise puts endless effort into going forward in the AI race, Apple stands out from the rest for its high-tech and quality products and services. Apple researchers, in a recent study, introduced an AI prototype that can animate static images. Apple Keyframer is a tool that uses LLM to interpret text instructions or prompts to design and animate images.
Animation is an essential component in graphics and visuals, adding beauty and aesthetics to please the audience. Apple’s latest AI tool, Keyframer, is an excellent example that will enhance AI uses in creativity. What is the new AI tool for animation, and how does it work? This article will clarify everything related to Apple’s new product.
Apple’s Keyframer – A Top-Notch Solution for Animators
AI holds tremendous potential when it comes to high-end performance and functionality. Since it shares the power of a machine with an intellect like a human, no one can compete with AI in performance. However, researchers at Apple, after carrying out a secret study, found that AI has more to accomplish in the design and creative domain.
In other words, LLM is underdeveloped, with negligible usability in real-world applications. Thus, Keyframer is an application from the tech giant Apple that empowers the animation of Two-Dimensional (2D) photos through iteration. LLM is the technology that empowers the iteration or repetition of an illustration format, Scalable Vector Graphic (SVG), to animate them into eye-catching videos.
Apple’s Keyframer works with GPT4 of OpenAI as its fundamental model. When a user enters a textual prompt alongside the image, the AI tool will generate a Cascading Style Sheet (CSS) code. This code will further generate a fine video of the image, providing you with stunning animated video. Moreover, it allows resizing of the uploaded photo without compromising its graphical quality.
Large Language Model – Fuelling Advanced Technologies
Back in time, when you thought of writing something, you had to sit relaxed and brainstorm an idea to write about. It was all your effort to come up with a piece of writing, including reading, writing, editing, and so on. This is no longer the case, as AI offers an easy alternative thanks to its innovative models.
OpenAI is the industry leader in AI, offering several solutions, such as ChatGPT, DALL-E, and many others. Click here to learn more about AI-generated imagery. These AI tools work on LLM, which is a system for interpreting and generating humanoid text as per the input commands from humans. The reason behind these human-like capabilities of AI is due to ML algorithms training them on myriads of data.
Keyframer also employs LLM to transform 2D images into animated videos or photos in motion. Other functions of LLM include idea generation, scriptwriting, character development, feedback and critique, and so on. Furthermore, designers and animators can use LLM, such as OpenAI’s GPT, to get educational resources related to their field.
Generative AI in Design – Animating Still Images with LLM
A large number of AI tools are the product of generative AI. Generative AI is home to various techniques, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), transformer architecture like GPT, and so on. These techniques ensure generating creative content, designing an image, or animating them.
A perfect example of generative AI in design and animation is Apple’s Keyframes. The LLM technique allows you to change a single SVG into multiple animation designs on a single go in a high-quality resolution. It offers complete control of the generated design in your hand, such as colour schemes, duration, size, and so on.
The best thing is that you don’t need to be a master of coding to operate these tools. Multiple design software has integrated generative AI functionality to increase productivity and add to the creative excellence of the software. For instance, Adobe Photoshop, Illustrator, and so on are a few professional software for designers that use an AI feature called Generative Fill to redefine your design with AI.
Potential Threats of Generative AI to the Job Market
Generative AI has a scope beyond content and image generation. With a 20.08 per cent annual growth, generative AI’s global market value is set to reach about 207 billion U.S. dollars in 2030. The constant enhancement and modification in its models pave the way for futuristic and high-end applications, making individuals with weaker skills suffer from job loss.
A researcher from Apple’s team developing Keyframer says that these tools frighten him. However, he maintains that there are opportunities for professionals if they incorporate these tools into their conventional working scheme. It will not only boost their performance but also open new income streams.
Therefore, generative AI is not here to take over your job but to support you in completing the tasks quickly and effectively. Individuals and skilled professionals must work on improving their skills instead of worrying about AI tools. Despite having human-like intellect, AI still needs a human workforce to function.
Read Also: Adobe Firefly: A Game-Changer for Graphic Design
AI Is Ready to Enhance Animation
Apple Keyframer is the best use of AI for designers and animators. The features of this AI tool are not limited to professionals only; Any individual or small business that requires instant promotional content can use Keyframer effortlessly.
Though it is an emerging tool in its early stages, it will soon find a way into Apple’s products, including MacBook, iPhone, iPad, and so on. In general, generative AI is one of the futuristic technologies that will reshape the tech landscape for consumers and developers.
From generating content and still images, it has come a long way to animate 2D images via iteration and LLM. The future will witness further uses of AI in design, animation, and overall creative domain.