Emu Edit And Emu Video: Meta's New Tools Explained

Η Meta εισήγαγε δύο πρωτοποριακές εξελίξεις στον τομέα της γενετικής τεχνητής νοημοσύνης: Emu Video and Emu Edit. These developments mark significant progress in the field of genetic artificial intelligence, providing individuals with transformative abilities to express their creativity in innovative ways.

Although the use of AI-generated images and videos has been the subject of much criticism, there are many potential benefits when used correctly. Users can now draw almost anything they can imagine within seconds, including AI-generated comics, even without any form of training. All one needs to do to create a stunning image these days is to think and write a prompt.

Almost all of us know how much Meta has focused on AI technologies in recent years and a few days ago they announced two powerful video creation and image editing tools in one suspension.

What is Emu Video?

Emu Video is a revolutionary text-to-video creation platform that uses diffusion models to streamline the process. The video creation process is divided into two distinct stages:

1. Create images based on text messages
2. Then creating videos that depend on text and images

This approach allows Emu Video to achieve a more efficient and effective workflow compared to previous methodologies that required multiple models. Emu Video uses only two diffusion models to produce high-resolution (512×512), four-second videos at a rate of 16 frames per second.

In particular, human evaluations have highlighted the excellent performance of Emu Video's video generation, outperforming previous benchmarks by a significant margin. In fact, 96% of respondents preferred Emu Video's model over Make-A-Video in terms of quality, with an 85% preference for text message fidelity.

Emu Video's versatility is further demonstrated by its ability to animate user-supplied images based on text messages.

Key features include:

• Unified architecture for video creation tasks,
• Support for:
  • Text only
  • Image only
  • Combined inputs
• A factored approach to effective training
• Peak performance in human assessments

Emu Video represents a paradigm shift in text-to-video creation, leveraging diffusion models to streamline the process. The platform's two-step approach to video creation is a significant departure from previous methodologies that required multiple models.

In the first stage, Emu Video creates images based on text prompts, while in the second stage, it creates text- and image-dependent videos. This approach allows Emu Video to achieve a more efficient and effective workflow, resulting in high-quality videos that far exceed previous benchmarks.

Emu Video uses only two diffusion models to produce high-resolution (512×512), four-second videos at a rate of 16 frames per second. This streamlined approach to video creation has been well received by users, with 96% of respondents preferring Emu Video's model over Make-A-Video in terms of quality. Additionally, 85% of respondents preferred the Emu Video model in terms of text message fidelity.

Emu Video's versatility is further demonstrated by its ability to animate user-supplied images based on text messages. This feature allows users to create videos that are tailored to their specific needs and preferences. Emu Video also boasts a unified architecture for video creation tasks, support for text-only, image-only, and combined inputs, a factorial approach to effective training, and top performance in human ratings.

You can learn more about Emu Video using the link here.

Meta also launched a demo site for users who want to check out Emu's video creation capabilities.

In the demo, there are several options of generated videos where you can choose the topic, activity, location and creation style, and there is also a search tab for generated videos at the bottom of the site. Even if you can't create your own video, you can use this link to view the videos Meta created during the survey.

What is Emu Edit?

Emu Edit is a powerful image editing platform that offers precise control over image editing tasks through recognition and creation techniques. Unlike traditional image manipulation methods that often lead to over-modification or poor performance, Emu Edit follows instructions precisely, ensuring that only the relevant pixels are altered. This means that when you add text to a baseball cap, the cap itself remains unchanged. Meta's core expertise is the integration of computer vision tasks as instructions for image generation models, offering unprecedented control over image generation and processing.

Το Emu έχει εκπαιδευτεί σε ένα μεγάλο σύνολο δεδομένων από συνθετικά δείγματα (10 εκατομμύρια) για να εκπαιδεύσει το μοντέλο της Meta, με αποτέλεσμα ανώτερα αποτελέσματα επεξεργασίας όσον αφορά την ακρίβεια των οδηγιών και την ποιότητα της εικόνας. Στις αξιολογήσεις της Meta, η Emu επέδειξε κορυφαίες επιδόσεις για μια σειρά εργασιών επεξεργασίας εικόνας, ξεπερνώντας τις τρέχουσες μεθόδους.

Key features of Emu Edit include:

• Free editing through instructions
• Pixel precise change
• Unprecedented control of computer vision tasks

The excellent processing results and top performance of the platform make it a great choice for users who want to create high-quality images.

Users can read the Emu Edit paper to learn more about Meta's latest generation model. The paper provides a detailed overview of Emu Edit's architecture, training methodology, and performance metrics. It also includes examples of Emu Edit's capabilities, demonstrating the platform's flexibility and power.

Meta's AI ambition

Meta (formerly Facebook) has invested heavily in artificial intelligence (AI) research and development in recent years, creating a wide range of AI-focused products and initiatives. These products are used to improve the company's core products, such as Facebook, Instagram and WhatsApp, and to develop new products and services.

Meta's AI-powered SeamlessM4T translation tool seamlessly bridges language barriers, enabling translation in over 100 languages ​​with remarkable accuracy.

AI-powered image and video recognition capabilities also enable Meta to recognize objects, people and scenes within visual content. This technology plays a key role in improving ad relevance, facilitating content discovery and combating the spread of inappropriate material.

Τα chatbot AI της Meta χρησιμεύουν ως ψηφιακοί βοηθοί, παρέχοντας υποστήριξη πελατών, απαντώντας σε ερωτήσεις και εκτελώντας εργασίες με αποτελεσματικότητα και ακρίβεια. Αυτά τα chatbots είναι εύκολα προσβάσιμα στο Facebook Messenger, στο WhatsApp και σε άλλες platforms Goal.

Meta's AI ambitions also extend to the development of advanced language models, such as Llama 2. Harnessing the power of artificial intelligence, Llama 2 has demonstrated remarkable abilities in understanding natural language, answering questions and generating text.

We don't yet know what the future holds, but one thing is for sure: the development of technology is at an accelerated pace, and soon it will be much easier to create a AAA game or a movie that will rival a Hollywood masterpiece.

Feature image credit: Igor Surkov/Unscrew.