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Meta’s Movie Gen: AI Technology for Creating Video and Sound from Text, Yet Accessibility Remains Limited

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Louis Ferguson

An editor at Blogzine


  • 🕑 2 minutes read
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Meta’s Movie Gen: AI Technology for Creating Video and Sound from Text, Yet Accessibility Remains Limited

Key Insights

  • Meta has introduced a groundbreaking AI model called Movie Gen, which produces videos from text prompts, echoing similar capabilities expected from OpenAI’s upcoming Sora.
  • In addition to video creation, Movie Gen’s functions include transforming photographs into video content, applying text-based edits to clips, and generating audio to accompany videos.
  • Movie Gen is currently in development, with no specific timeline for its public launch announced yet.

Meta’s Movie Gen showcases an impressive leap in AI technology. By simply inputting text, users can create short video clips, modify existing clips, convert images into videos, and even generate sound—essentially a comprehensive suite for content creators.

Much like other emerging text-to-video systems, such as OpenAI’s Sora, Movie Gen is not yet available for use, with all current demonstrations pertaining to future capabilities. The foundational concept remains consistent: input text to produce stunning, high-definition videos.

Moreover, users will have the option to generate videos in various aspect ratios.

Another notable aspect of Movie Gen is its video editing functionality, enabling users to upload footage and manipulate it using prompts to make tailored edits, apply styles, transitions, and enhance clips with AI-driven features.

A particularly impressive feature of Movie Gen is its ability to create ‘Personalized videos‘, which utilize photographs to generate video while meticulously preserving individual identities and expressions.

The model also has the capacity to produce audio for videos, whether derived from text prompts or not, for durations of up to 45 seconds. This audio can encompass sound effects, instrumental music, and ambient sounds, all synchronized with the video playback. An audio extension approach is utilized to ensure seamless cohesion between the audio and video components.

Meta asserts that the model “has the potential to enhance creativity,” though it acknowledges that it isn’t “set for product launch anytime soon—it remains costly and slow to generate. However, we wish to share our progress as the results are quite remarkable.” While AI video generation technology is still evolving, Movie Gen positions Meta within the competitive arena alongside OpenAI and Google, both of which are exploring their own text-to-video models.

The rapid advancement of AI video generation prompts concerns about potential misuse, as has been observed with AI-generated images, raising possibilities of jeopardizing the careers of filmmakers and video artists. The arrival of entirely AI-generated films in the market may not be far off. Nonetheless, this technology is still under development, with Meta not offering any projected release dates, though a debut before late next year seems unlikely.

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