
DeepGears
The Generative AI Layer for Fashion: Transform 2D Flat-lays into Photorealistic Virtual Try-Ons.

Real-time, on-device generative retail experiences powered by Snapdragon Hexagon NPU.

FashionAI by Qualcomm represents a strategic shift in retail technology, moving high-fidelity generative AI from the cloud to the edge. Centered around the Qualcomm AI Hub, this suite provides developers with optimized model libraries specifically tuned for Snapdragon platforms, including the 8 Gen 3 and X Elite series. By leveraging the dedicated Hexagon NPU, FashionAI enables real-time virtual try-ons (VTO), high-precision 3D body mapping, and instant style recommendations without the latency or data privacy risks associated with cloud-based processing. In the 2026 market, Qualcomm positions this as the gold standard for 'Privacy-First Fashion,' allowing retailers to process sensitive biometric data locally on the consumer's device. The architecture supports heterogeneous computing across CPU, GPU, and NPU, ensuring that complex generative diffusion models for fabric simulation and texture mapping run at over 30 FPS. This technological stack reduces operational costs for enterprises by eliminating per-inference cloud fees while significantly increasing conversion rates through frictionless, offline-capable AR experiences.
FashionAI by Qualcomm represents a strategic shift in retail technology, moving high-fidelity generative AI from the cloud to the edge.
Explore all tools that specialize in generate virtual try-ons. This domain focus ensures FashionAI by Qualcomm delivers optimized results for this specific requirement.
Explore all tools that specialize in virtual try-on. This domain focus ensures FashionAI by Qualcomm delivers optimized results for this specific requirement.
Execution of Stable Diffusion models directly on the Hexagon NPU using micro-kernel optimization.
Proprietary 3D body estimation that tracks 24+ key points in real-time.
Integration with on-device Llama-3 or Mistral variants tuned for fashion metadata.
Dynamic allocation of tasks between CPU, GPU, and NPU based on thermal overhead.
On-device cloth simulation for realistic movement during virtual try-ons.
Advanced quantization-aware training that maintains model accuracy at 8-bit precision.
Unified runtime for Android mobile and Windows-on-Snapdragon laptops.
Register for the Qualcomm AI Hub developer portal.
Select the 'FashionAI' optimized model weights (e.g., Stable Diffusion for Retail).
Define the target hardware profile (Snapdragon 8 Gen 2/3 or X Elite).
Quantize the model from FP32 to INT8 using the Qualcomm AI Stack for NPU efficiency.
Integrate the SNPE (Snapdragon Neural Processing Engine) SDK into the mobile application.
Implement the camera-stream pre-processing pipeline for real-time segmentation.
Map the garment textures onto the generated 3D human body mesh.
Configure the on-device inference engine to prioritize the Hexagon NPU.
Conduct local testing for latency and thermal throttling on physical dev kits.
Deploy the encrypted model package via the retail application update.
All Set
Ready to go
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The Generative AI Layer for Fashion: Transform 2D Flat-lays into Photorealistic Virtual Try-Ons.

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