Meta, the social media behemoth, has recently unveiled its innovative AI models for video generation and image editing. These state-of-the-art models are still in the experimental phase, but early results suggest they could be game-changers for content creators, artists, and animators.
Unveiling the Power of Emu Video and Emu Edit
The two AI models introduced by Meta are Emu Video and Emu Edit. Emu Video, an enhancement of Meta’s previous Emu model, can generate video clips from text and image inputs. On the other hand, Emu Edit focuses on image manipulation, offering improved precision in image editing.
Emu Video uses a unique “factorized” approach, dividing the training process into two steps to make the model responsive to different inputs. It first generates images based on a text prompt, then creates a video using both the text and the generated image. This model can also “animate” images based on a text prompt.
Unlike other models that rely on a deep cascade of models, Emu Video uses only two diffusion models to generate 512×512 four-second videos at 16 frames per second. Emu Edit, on the other hand, enables users to add or remove image backgrounds, perform color and geometry transformations, and edit images both locally and globally.
Meta’s Commitment to Precision and Responsiveness
Meta emphasizes that the primary goal of these models is not just to produce “believable” images. Instead, the focus is on altering only the pixels relevant to the edit request with utmost precision. For instance, if the instruction is to add the text “Aloha!” to a baseball cap, the model ensures that the cap itself remains unchanged.
Emu Edit was trained using computer vision tasks with a dataset of 10 million synthesized images, each with an input image, a task description, and a targeted output image. Meta claims this to be the largest dataset of its kind to date.
Training AI Models with Massive Datasets
The original Emu model was trained using a staggering 1.1 billion pieces of data, including photos and captions shared by users on Facebook and Instagram. This was revealed by CEO Mark Zuckerberg at the Meta Connect event in September.
Despite the potential of these AI tools, Meta has been cautious in their deployment due to close scrutiny from regulators. For instance, Meta recently announced that it won’t allow political campaigns and advertisers to use its AI tools to create ads on Facebook and Instagram.
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