Meta's Muse Image and Muse Video: AI for Images and Video

Meta has introduced Muse Image and Muse Video, AI tools for video and images with direct integration of context from Instagram.

What Muse Image can do

Muse Image, the tool for still images, is built around four core capabilities: precise instruction following, fine-grained editing, support for multiple references, and use of Instagram's social context.

Precise instruction following matters a lot. Many generative models "interpret" a prompt instead of executing it literally: they add details, change the style, or ignore some of the conditions. According to Meta, Muse Image doesn't do this.

Key features of Muse Image:

• Precise execution of the user's text instructions
• High-precision editing of existing images
• Composition from several source references at once
• Use of Instagram as a source of social context during generation

The last point sets Muse Image apart from most competitors. Instagram provides a live signal of what's relevant right now: which visual styles are gaining popularity, which formats people are actively sharing, and what defines a particular community. By building in this context, Meta gives the model a sense of the visual zeitgeist — not just what was popular in the training data, but what works today.

What can Muse Video do?

Alongside Muse Image, the company announced Muse Video, a tool for generating and working with video content. Detailed specs for Muse Video were limited at announcement; Meta is clearly launching both products together on purpose, building a unified multimedia stack that spans stills to motion.

Instagram Reels generates billions of views every day, and video has become the driver of engagement on Meta's platforms. If Muse Video lets creators generate or edit clips directly inside the app, it will lower the barrier to entry for new creators and reduce the need to switch to third-party editors.

How does Muse differ from competitors?

Meta is entering a space that already has major players. OpenAI offers DALL-E for images and Sora for video, Google is developing Imagen and Veo, and Midjourney and Adobe Firefly hold a significant share of the market among professional users.

But Meta has a structural advantage its competitors lack: it controls the largest content distribution platforms — Instagram, Facebook, and WhatsApp, with a combined audience of several billion people. Muse Image and Muse Video could be integrated directly into these platforms' interfaces, making content creation a native process. For creators, that means generating content right inside a familiar app; for the market, it means a strong new competitor to Canva and Runway.

What it means

Meta is steadily building AI generation into its own ecosystem. A unique data source — Instagram, with its live pulse of visual culture — could become Muse Image's key differentiator against competitors. If the products gain wide adoption, Meta will create a closed loop: users will be able to create, edit, and publish content without leaving its ecosystem.

*Meta is designated an extremist organization and banned in Russia.

What is Meta Muse?

Muse is a pair of neural networks for generating visual content: Muse Image for images and Muse Video for video, introduced by Meta in July 2026.

How does the Muse Image neural network work?

Muse Image can follow instructions precisely, perform fine-grained editing, work with multiple references, and use Instagram's social context.