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latentdivergence/lama-npu-8elite
lama-npu-8elite is a machine learning model from latentdivergence. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Precompiled QNN-ONNX build of LaMa (lamadilated, Apache-2.0) for Snapdragon 8 Elite (Hexagon v79), used by Latent Studio for on-device object removal. All 332 layers run on the Hexagon NPU (~40 ms/image) instead of se…
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Updated Jul 15, 2026
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From the Hugging Face model README
Precompiled QNN-ONNX build of LaMa (lama_dilated, Apache-2.0) for Snapdragon 8 Elite (Hexagon v79),
used by Latent Studio for on-device object removal. All 332 layers run on the
Hexagon NPU (~40 ms/image) instead of seconds on CPU.
Files:
lama_dilated.onnx — EPContext wrapperlama_dilated_qairt_context.bin — the Hexagon context binary (chip-specific)Inputs: image (1,3,512,512) RGB 0..1, mask (1,1,512,512). Output: repainted image.
Compiled via Qualcomm AI Hub at float precision (no quantization).