Galaxy S26 could generate AI images in under a second with new EdgeFusion feature

Reviewed byNidhi Govil

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Samsung's Galaxy S26 series is rumored to introduce EdgeFusion, an on-device AI image generator that creates 512Γ—512 pixel images in less than a second, even offline. Developed with South Korean AI firm Nota AI, the feature could give Exynos-powered models an edge over Snapdragon variants, marking a shift toward local AI processing that addresses privacy concerns and eliminates cloud dependency.

Galaxy S26 Brings On-Device AI Image Generation to Smartphones

Samsung is preparing to launch the Galaxy S26 series with EdgeFusion, an on-device AI image generator that could create images in under a second without requiring an internet connection

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. According to leaker Ice Universe, the feature represents a partnership between Samsung and Nota AI, a South Korean AI company that has optimized Stable Diffusion models to run directly on the Exynos 2600 chip

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. The AI text-to-image tool is expected to generate 512Γ—512 pixel images in "a few seconds" or potentially faster, marking a departure from the typical 10 to 15-second wait times associated with cloud processing

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Source: Gadgets 360

Source: Gadgets 360

The Samsung Galaxy S26 series, which includes the standard Galaxy S26, Galaxy S26+, and Galaxy S26 Ultra, is expected to launch on February 25 during a Galaxy Unpacked event, with devices hitting stores in early March

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. While Samsung has yet to officially confirm EdgeFusion, the company has been teasing AI improvements and confirmed next-generation AI capabilities during an earnings call last year

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Source: Android Authority

Source: Android Authority

Exynos Models May Outperform Snapdragon in AI Image Tasks

The optimization work behind EdgeFusion centers on the Exynos 2600 processor, which will power the standard Galaxy S26 and Galaxy S26+ in most regions

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. Nota AI has reportedly shrunk Stable Diffusion models by up to 90%, allowing them to run efficiently on the Exynos 2600's new GPU and NPU

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. This creates an unusual situation where the Galaxy S26 Ultra, which is expected to use Qualcomm's Snapdragon 8 Elite Gen 5 worldwide, may not have EdgeFusion optimization at launch

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Qualcomm has demonstrated similar capabilities before. At MWC 2023, the company ran Stable Diffusion on a Snapdragon 8 Gen 2 device, generating a 512Γ—512 image in 15 seconds

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. By late 2023, optimization brought that down to 0.6 seconds on the Snapdragon 8 Gen 3

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. EdgeFusion is rumored to go even faster, though real-world performance will depend on prompt complexity, image size, and concurrent phone activities

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Offline AI Addresses Privacy Concerns and Practical Use Cases

Most smartphones currently rely on cloud servers for AI image generation, raising privacy concerns as user data travels to remote infrastructure

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. An on-device image generator eliminates this dependency, allowing users to create images while traveling, commuting, or dealing with weak coverage

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. The feature could prove useful for generating quick sticker ideas, rough concept art for presentations, or visuals to drop into messages

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The shift toward on-device AI also signals a broader industry trend where handsets handle more AI work locally rather than offloading tasks to cloud processing

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. Samsung's move is reportedly part of a strategy to "strengthen on-device AI image processing" and reduce dependence on cloud-based systems

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. However, offline AI image generation raises questions about thermal management and battery consumption, as on-device AI processing is incredibly power-hungry

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Integration and Performance Will Determine Real-World Adoption

The success of EdgeFusion will depend heavily on how Samsung integrates it into the user experience. If the feature lives in a buried settings menu or standalone app, adoption will likely remain low

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. But if Samsung builds it into messaging, Notes, or photo editing, it could become a daily tool rather than a spec sheet bullet point

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. Watch for details on NPU gains, thermal controls, and battery safeguards, plus clear limits around quality and speed

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On-device image tools can also heat up phones, drain battery, and deliver lower quality than larger cloud models

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. Samsung hasn't disclosed output resolution beyond the 512Γ—512 pixel format, usage limits, or whether only certain models get full performance

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. Until Samsung confirms support and rollout timing, it's smart to treat EdgeFusion as a promising rumor rather than a definitive upgrade reason

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