Meta представила Muse Image и Muse Video — ИИ-генераторы с контекстом Instagram

Meta presented Muse Image and Muse Video — AI generators with Instagram context

Meta in July 2026 presented two new AI products — Muse Image and Muse Video, designed for generating and editing visual content with direct integration of Instagram context.

What Muse Image can do

Muse Image — a tool for working with static images — is built on four key capabilities: precise instruction following, precision editing, working with multiple references, and leveraging Instagram's social context.

The ability to precisely follow instructions is fundamentally important. Many generative models "interpret" a request instead of executing it literally: they add details, change style, or ignore parts of the conditions. Muse Image, according to Meta, does not do this.

Key characteristics of Muse Image:

• Precise execution of user text instructions
• Editing of existing images with high accuracy
• Composition from multiple source references simultaneously
• Use of Instagram as a source of social context for generation

The last point distinguishes Muse Image from most competitors. Instagram generates a live signal of what is relevant right now: which visual styles are gaining popularity, which formats are actively shared, what is characteristic for a particular community. By embedding this context, Meta gives the model an understanding of the "spirit of the times" in visual culture — not only what was popular in the training data, but what works today.

What Muse Video can do

Along with Muse Image, the company announced Muse Video — a tool for generating and working with video content. Detailed characteristics of Muse Video at the time of announcement are limited; it is clear that Meta intentionally launches both products together, forming a unified multimedia stack — from static to motion.

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

How Muse differs from competitors

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

However, Meta has a structural advantage that competitors do not have: the company controls the largest content distribution platforms — Instagram, Facebook, WhatsApp with a combined audience of billions of people. Muse Image and Muse Video can be integrated directly into the interfaces of these platforms, turning content creation into a native process. For creators, this means generating content right within the familiar app; for the market, it means a strong competitor to Canva and Runway.

What this means

Meta is consistently embedding AI generation into its own ecosystem. A unique data source — Instagram with its living pulse of visual culture — could become the key differentiator for Muse Image against competitors. If the products gain widespread adoption, Meta will form a closed loop: create, edit, and publish content without leaving its ecosystem.

*Meta is recognized as an extremist organization and is banned in Russia.