Meta introduces its first image generation model, Muse Image; Now available in Meta AI

By Estuti Bajpai Published on July 8, 2026, 15:57 IST

Yesterday, Meta unveiled its first image generation model, Muse Image. This model from Meta Superintelligence Labs makes it easier for users to turn their ideas into high-quality visuals that they can download and share anywhere, including directly to their feed, story or chat.

Today, we’re introducing Muse Image: our first image generation model from Meta’s Superintelligence Labs. It uses advanced reasoning to understand prompts and lets you turn your ideas into high-quality, relevant visuals that you can share directly to your chat, story, or feed.…

— Meta Newsroom (@MetaNewsroom) July 7, 2026

Muse Image: Meta’s first image generation model

You can give simple prompts to Meta Muse based on your ideas, and it will give you high-quality output. It will also render text clearly inside your visuals, meaning you can ask for a how-to guide or a detailed infographic on a special subject, and the text comes out legible and styled to match.

The model also powers new creative tools across Meta’s apps. You can use more than 30 new AI-powered effects for Instagram Stories and generate images in your direct chats with Meta AI on WhatsApp (starting in limited countries with more locations on the way).

Meta AI now includes a presets panel with suggested prompts to help inspire you. You can also @-mention Instagram accounts in the Meta AI app to bring specific Instagram profiles right into your images. You have control over how your content can be tagged for AI creation with an easy setting to turn this feature off at any time.

You can also edit directly on the photo by tapping the markup icon on your creation to circle, sketch or annotate edits right on top of the photo. Since Meta AI remembers the full context of your conversation, you can keep refining by swapping styles, adding elements, or tweaking details, all without starting from scratch.

Muse Image key highlights:

Coding: During reinforcement learning, Muse Image learns to write and execute code that produces accurate plots and QR codes, and conditions on rendered figures to improve the accuracy of generated images.
Search: Muse Image learns to search the web to ground generated images in factual and real-time information and visual references. Enabling search improves factual accuracy.
Self-Refinement: Muse Image reflects on and improves upon its own work within its chain of thought. This self-refining behaviour can take different forms.
Test-Time Compute Scaling: With more test-time compute, the model reasons more, uses more tool calls, and uses more self-refinement steps to improve its generations.
Image Editing: Muse Image edits images with precision, changing exactly what the user asks for. It maintains coherence across editing turns, supporting iterative refinement and open-ended brainstorming toward a target result.
Multi-reference image composition: It can compose elements from many input reference images in the prompt. It supports interleaving text and images inline in prompts for complex image compositions.

Availability

Meta Muse is now available in the Meta AI app and on meta.ai, Instagram Stories in the US, and WhatsApp in limited countries. Soon, the company will bring Muse Image to more countries and places where people use Meta AI, including Facebook and Messenger, and additional surfaces on Instagram and WhatsApp.

In the coming weeks, advertisers and agencies will be able to tap into Muse Image through Advantage+ creative.

Using Meta Muse with Meta AI is free, but for people who want to create even more, it’s available as part of Meta’s subscription plans.

Apart from this image generation model, Meta has announced that there is also a video generation model under development called Muse Video.