Meta Muse Image is the new AI model launched by Meta through its Superintelligence Labs, and it brings an impressive — but also controversial — feature: users can mention other Instagram in their prompts, allowing the model to incorporate their image into AI-generated photos. Muse Image now powers the image creation tools in the Meta AI, Instagram , and WhatsApp, and is expected to expand to Facebook and Messenger.
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The launch of Muse Image is part of the broader Muse family of models , which is gradually replacing Meta ’s well-known Llama series . Alexandr Wang , who Meta hired last year to lead Superintelligence Labs , announced via Threads that Muse Image is “agentic” — that is, it works in conjunction with the large Muse Spark language model to “analyze your prompt, search the web, and design before creating.” This “agentic” architecture (agentic AI) represents a significant evolution over traditional image creation models, as the system doesn’t just convert text to image, but “thinks” before creating.
Muse Image and Instagram: What does @ mention of other users mean?
The most talked-about feature of Muse Image is the ability to “tag” other Instagram within your prompts. According to Meta, “tagging a username allows Meta AI to use public photos to create a visual effect.” This means that if someone has a public account, their photos can be used as the basis for AI-generated images by third parties. Meta clarifies that users can control how others reuse their content for AI, but it’s not yet clear how easy it is to opt-out.
This issue raises serious questions about privacy and consent. In Europe, and by extension in Greece, the GDPR sets strict rules for the use of personal data — including photos — without explicit consent. The ability to “put” someone in an AI image without their knowledge, even if their account is public, may conflict with European regulations. Industry analysts point out that Meta should provide clear answers on how this feature will be implemented in the European Union.
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Muse Image: All new features for content creation
Beyond @ mention, Muse Image offers a number of practical features. Users can transform images based on suggested prompts, create designs for invitations, postcards and other printed materials, while the model can “renovate” rooms based on photos from Facebook Marketplace or elsewhere on the web. Particularly interesting is the ability to directly edit photos: users can “paint” directly on their images and request changes, with the result that can be shared in the feed, story or chat.
Muse Image will also power the 30 new AI effects coming to Instagram Stories in the US, with a gradual rollout to other countries. This is expected to significantly change the way users create and consume content on the platform. Meta is also preparing Muse Video, a video creation model that, according to Wang, is “competitive in terms of prompt adherence, visual fidelity, and temporal consistency” — characteristics that are the main evaluation criteria in the AI video generation space.
Meta ’s move to integrate Muse Image across its platforms comes at a time of intense competition in the generative AI space. Companies like Google , OpenAI , and Adobe are all vying for market share with their own image creation tools, while Meta has the advantage of its massive user base — billions of active users across Instagram , Facebook , and WhatsApp . Integrating AI capabilities directly into the apps people already use every day is a strategic advantage that competitors will find difficult to replicate.
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Overall, Muse Image represents a bold move by Meta to integrate advanced AI capabilities into its users’ everyday experience. However, the @ mention feature raises questions that the company needs to answer clearly, especially for European users. The announcement was made on Tuesday and the gradual rollout is expected to be completed in the coming months. Users concerned about their privacy are advised to check their Instagram and define who can use their photos for AI creations.
