Meta Platforms has introduced Meta Muse Image, its first dedicated image-generation model developed by Meta Superintelligence Labs, marking a significant step in the company’s efforts to expand generative AI across its family of apps.
The Meta Muse Image model is being integrated into Meta AI, the company’s chatbot, enabling users to create images from text prompts, edit existing photos, and generate visuals using sketches or annotations. The rollout also brings a range of AI-powered creative features to Instagram, WhatsApp, Facebook, and Messenger, with broader availability expected in the coming months.
Meta Muse Image is designed to do more than generate images from text. It can edit specific objects within a picture, apply different artistic styles, create multiple variations, and make targeted changes based on user instructions. Meta says the model works alongside Muse Spark, its text-and-reasoning AI, which interprets prompts before handing them off to the image generator for more accurate and context-aware results.
One of the first major integrations for Meta Muse Image will be on Instagram, where the AI model will power more than 30 new AI Story effects. Meta is also rolling out image generation within Meta AI chats on WhatsApp in select countries before expanding the feature to additional markets. The company says more AI-powered experiences will gradually arrive across Facebook, Messenger, Instagram, and WhatsApp.
Meta Muse Image also includes built-in editing tools and presets that let users restore old photographs, experiment with different hairstyles, redesign rooms, transform an image into different artistic styles, and generate visuals containing readable text. Users can make precise edits by circling parts of an image or drawing directly on it.
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Meta is also positioning Meta Muse Image as a practical design assistant. Its room redesign feature, for instance, can incorporate products from the web or Facebook Marketplace to help users visualize furniture and décor in different spaces.
Another feature allows users to reference public Instagram accounts in Meta AI prompts. By tagging an account, the AI can use publicly available images from that profile to generate new visuals inspired by them. Meta says anyone who does not want their public Instagram content used in this way can opt out through Instagram’s privacy settings.
Basic access to Meta Muse Image through Meta AI will be available free of charge. Users who require higher image-generation limits will be able to access expanded capacity through Meta’s subscription plans.
To help identify AI-generated content, every image generated with Meta Muse Image through the Meta AI app and Meta.ai will include Content Seal, Meta’s invisible watermarking technology.
According to the company, the hidden marker remains detectable even if an image is cropped, resized, compressed, or captured in a screenshot. Meta is also testing a detection tool that can identify Content Seal watermarks and plans to extend the technology to AI-generated videos.
Meta says Meta Muse Image has already shown strong early performance, ranking second on the Arena leaderboard for text-to-image generation, single-image editing, and multi-image editing based on human preference Elo rankings as of July 5.
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Meta Muse Image builds on the company’s broader Muse family of AI models. It follows the launch of Muse Spark in April, the first model developed by Meta Superintelligence Labs. Muse Spark currently powers the Meta AI app and website, with plans to expand it across WhatsApp, Instagram, Facebook, Messenger, and Meta’s AI-powered smart glasses.
The company is also continuing to expand developer access to its AI models. Reuters reported in June that Meta delayed the public release of the Muse Spark API as part of its broader developer strategy, rather than because of the Meta Muse Image rollout. At the time, a Meta spokesperson said the API was being tested with a small group of early partners before a wider release.
Alongside Meta Muse Image, Meta also unveiled an early preview of Muse Video, its upcoming AI video-generation model. Built on the same foundation as Meta Muse Image, Muse Video supports native audio generation and is expected to become available to creators and through Meta AI in the future.
The launch comes as Meta continues to expand its AI ecosystem. The company reported an average of 3.56 billion daily active users across its family of apps in March 2026, highlighting the scale at which Meta Muse Image and its AI-powered features could reach users worldwide.