Meta has unveiled Muse Image, the first image-generation model developed by its new Meta Superintelligence Labs (MSL), introducing advanced artificial intelligence features that promise to make creating and editing images more intuitive across its family of apps.
The new AI model, now available through Meta AI, enables users to generate high-quality images from conversational prompts, edit existing photos using natural language instructions and create visual content directly within Meta’s ecosystem.
Muse Image will also power new creative features on Instagram and WhatsApp, with support for Facebook, Messenger and Meta Advantage creative tools for advertisers expected to roll out in the coming weeks.
Unlike conventional AI image generators that rely mainly on text prompts, Muse Image combines image generation with reasoning capabilities powered by Muse Spark, Meta’s reasoning model. According to the company, the AI plans image layouts, retrieves relevant web information when required and intelligently combines multiple visual references before creating an image.
Meta has launched Muse Image, its first AI image-generation model from Meta Superintelligence Labs, bringing advanced photo creation, editing and reasoning capabilities to Meta AI, Instagram and WhatsApp. Image credit: Image FX.
Muse Image: AI that understands what users want
Meta says the new model is designed to make image creation feel more conversational and natural.
Users can create images from scratch or modify existing photographs simply by describing the desired changes. They can remove unwanted objects, redesign living spaces using products sourced from the web or Facebook Marketplace, generate functional QR codes and even create infographics with clearly rendered text.
Announcing the launch, Meta described Muse Image as the first image-generation model from Meta Superintelligence Labs to be integrated into Meta AI.
“The model,” Meta says, “uses advanced reasoning to understand complex prompts, seamlessly blending multiple photos into high-quality creations you can download and share anywhere, including directly to your chat, story, or feed.”
The company explains that Muse Spark works behind the scenes by planning image composition, gathering relevant real-time information where necessary and intelligently blending multiple visual references into a single result.
To make image creation easier for everyday users, Meta AI now includes a presets panel featuring suggested prompts.
The shortcuts allow users to restore old family photographs, experiment with trending hairstyles or transform images into artistic styles such as claymation or retro 16-bit video game graphics without having to write detailed prompts.
Another new capability allows users to incorporate public Instagram content into AI-generated images by tagging Instagram accounts.
“You can also @-mention Instagram accounts in the Meta AI app to bring specific Instagram profiles right into your images,” Meta says.
The company notes that users remain in control of whether their public Instagram content can be used in this way.
Muse Image also introduces visual editing tools that allow users to indicate changes by drawing directly on an image instead of repeatedly rewriting prompts.
“To make a change, just tap the markup icon on your creation to circle, sketch, or annotate edits right on top of the photo,” Meta explains.
The feature is designed to make editing faster and more precise by allowing users to highlight exactly which parts of an image should be changed.
Muse Image AI coming to Instagram Stories and WhatsApp
Beyond the standalone Meta AI experience, Muse Image will power more than 30 AI-generated Story effects on Instagram and support image generation within Meta AI chats on WhatsApp.
The WhatsApp rollout will begin in selected countries before expanding globally.
Meta says everyday image creation will remain free through Meta AI, while users who require higher usage limits and additional creative features will be able to access them through subscription plans.
Muse Video coming next
Alongside Muse Image, Meta also previewed Muse Video, an upcoming AI model designed to generate videos from user prompts.
Muse Image is the first media-generation model built by Meta Superintelligence Labs, the AI division established to accelerate the development of advanced foundation models and strengthen Meta’s position against rivals including OpenAI, Google and Anthropic.
The model builds on Muse Spark, Meta’s reasoning system introduced earlier this year to improve planning and reasoning capabilities across Meta AI.
According to Meta, Muse Image ranks among the leading image-generation systems in human preference benchmarks for both text-to-image creation and image editing. The company also says Muse Video has posted promising early benchmark results ahead of its wider release.
To promote transparency, every image created with Muse Image includes Content Seal, Meta’s invisible watermarking technology designed to identify AI-generated content even after an image has been cropped, resized or compressed.
AI moves deeper into Meta’s apps
The launch highlights Meta’s strategy of embedding generative AI directly into the apps people already use every day rather than limiting advanced AI capabilities to standalone tools.
By integrating Muse Image into messaging, social media and advertising products, Meta aims to make AI-powered image creation a seamless part of everyday communication, content creation and digital marketing across its platforms.
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For Remilekun Fayose, what started as a simple decision to watch her first football match at the stadium turned into an experience that changed how she sees the game. Sport247 reports how the young fan shared her excitement after attending the Lagos derby at the Mobolaji Johnson Arena on the 30th of September 2026 admitting that the atmosphere inside the stadium changed her view of watching football.
Remilekun explained that she initially had doubts about going to the stadium because she had always seen football as something mostly enjoyed by men. She described herself as someone who does not normally follow sports closely, but decided to attend the match and she found herself enjoying every moment. What stood out most to her was the atmosphere created by the supporters. She found herself in a large, energetic crowd that reacted passionately to events on the pitch. Although most of the supporters around her were men, Remilekun said their excitement eventually rubbed off on her. “I started feeling excited,” she said, recalling how she found herself shouting at a player who kept falling on the pitch She also compared the atmosphere in the stadium with watching football on television. She admitted that the game can sometimes feel boring when watched from home, but being inside the stadium gave her a completely different experience. According to her, the drums, trumpets, chants and reactions from the fans made the match much more enjoyable than watching it from home. Her first experience has also changed her mind about attending football matches, as she confirmed that she would definitely return to the stadium. Remilekun also encouraged other young women who may not be interested in football to give live matches a chance “You never know until you try,” she said, explaining that people might assume football will be boring without experiencing the atmosphere for themselves Her experience highlights how live football can attract new fans when they get the chance to experience the passion and atmosphere of the game firsthand. Sports 247 continues to bring fans closer to the stories and experiences of shaping Nigerian sports.
MTN Group Foundation and the Gates Foundation have launched a four-year digital health initiative in Nigeria aimed at using artificial intelligence, mobile connectivity and affordable digital devices to improve maternal healthcare for women, particularly those in underserved communities.
The Nigeria Maternal Health Multiplier, announced by MTN Group, parent company of MTN Nigeria, is designed to create an integrated digital ecosystem linking pregnant women, frontline health workers and primary healthcare facilities.
The partnership is backed by an initial investment of approximately $25 million between 2026 and 2030, comprising direct and in-kind contributions from MTN and the Gates Foundation. The organisations said the investment is intended to catalyse additional funding and potentially support expansion of the model into other markets.
The initiative targets 500,000 women by 2030, with plans to equip 5,000 frontline health workers with digital tools for earlier identification of pregnancy and childbirth complications and support 500 health facilities to provide more consistent maternal healthcare.
Dr. Bosun Tijani, Minister of Communications Innovation and Digital Economy, on the left; Nompilo Morafo, Chief Sustainability and Corporate Affairs Officer, MTN Group and Mark Suzman, CEO of the Gates Foundation. Image credit: MTN.
The partnership is backed by an initial investment of approximately $25 million between 2026 and 2030, comprising direct and in-kind contributions from MTN and the Gates Foundation. The organisations said the investment is intended to catalyse additional funding and potentially support expansion of the model into other markets. The initiative targets 500,000 women by 2030, with plans to equip 5,000 frontline health workers with digital tools for earlier identification of pregnancy and childbirth complications and support 500 health facilities to provide more consistent maternal healthcare.
Digital health tools to help identify potential warning signs, support follow-up
At the centre of the programme is the deployment of AI-enabled, phone-based decision-support tools for both healthcare workers and mothers. These tools are intended to provide timely health guidance, help identify potential warning signs and support follow-up throughout pregnancy, childbirth and the postnatal period.
The initiative will also address two practical barriers to digital healthcare adoption: the affordability of devices and data, and inadequate connectivity at primary healthcare facilities.
Under the programme, pregnant women will have access to affordable smartphones and mobile data, while frontline health workers will receive connected devices providing access to real-time clinical guidance. Connectivity improvements at healthcare facilities are also planned to ensure that digital services can function more reliably, irrespective of location.
The programme is to complement Nigeria’s existing maternal and child health reforms, particularly the Federal Ministry of Health’s Maternal and Neonatal Mortality Reduction Innovation Initiative (MAMII), deployed under the government’s Sector-Wide Approach to health.
Nigeria’s maternal health burden was a key factor in its selection as the first market for the Maternal Health Multiplier. According to figures cited by the partners, Nigeria accounts for nearly 30% of maternal deaths globally, while only 59% of women complete four or more antenatal care visits.
The initiative therefore places digital technology not simply as a communication channel, but as an additional layer supporting the country’s primary healthcare system. Its model combines connectivity, devices, mobile data and AI-enabled decision support with existing healthcare infrastructure and frontline personnel.
Dr Bosun Tijani, Nigeria’s Minister of Communications, Innovation and Digital Economy, said the partnership demonstrated how digital transformation could be applied to foundational public services.
“For too long,” the Minister said, “the biggest barrier to improving service delivery in Nigeria, whether in health, agriculture, or education, has not been a lack of innovations, but a lack of focus on the foundational systems necessary to drive adoption.”
Dr Muhammad Ali Pate, Nigeria’s Coordinating Minister of Health and Social Welfare, said strengthening primary healthcare and frontline health workers remained central to the government’s health sector reforms.
For MTN, the programme extends the role of its telecommunications infrastructure beyond conventional voice and data services into digital public-health delivery. The group’s contribution combines its connectivity infrastructure, digital inclusion capabilities, mobile financial services, device distribution networks and local market execution capacity.
Ralph Mupita, MTN Group President and CEO, said artificial intelligence could make health information more personalised, predictive and accessible when deployed appropriately.
“Starting in Nigeria, our ambition is to demonstrate a scalable model for improving maternal and child health outcomes across Africa,” Mupita said.
The Gates Foundation says it brings expertise in maternal, newborn and child health, digital health innovation, responsible AI and evidence-based scale-up to the partnership.
Mark Suzman, CEO of the Gates Foundation, said the programme was intended to ensure that AI-enabled healthcare did not become concentrated among populations already able to afford digital services.
The partnership represents an emerging approach to digital health in which connectivity is treated as part of the healthcare delivery infrastructure rather than simply as a telecommunications service. For Nigeria, its effectiveness will ultimately depend on whether the AI tools are clinically reliable, usable by health workers and mothers, available in relevant local contexts, and supported by functioning primary healthcare facilities.
The four-year programme is expected to provide evidence on whether combining AI-enabled health guidance with affordable devices, mobile data and facility connectivity can improve access to maternal healthcare at scale.
