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  1. README.md +17 -0
  2. lama_dilated.onnx +3 -0
  3. lama_dilated_qairt_context.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags: [lama, inpainting, object-removal, qnn, hexagon, npu, on-device]
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+ ---
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+
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+ # LaMa object-removal eraser — Snapdragon 8 Elite (Hexagon v79), Hexagon NPU
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+
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+ Precompiled QNN-ONNX build of **LaMa** (`lama_dilated`, Apache-2.0) for **Snapdragon 8 Elite (Hexagon v79)**,
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+ used by Latent Studio for on-device object removal. All 332 layers run on the
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+ Hexagon NPU (~40 ms/image) instead of seconds on CPU.
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+
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+ Files:
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+ - `lama_dilated.onnx` — EPContext wrapper
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+ - `lama_dilated_qairt_context.bin` — the Hexagon context binary (chip-specific)
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+
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+ Inputs: image `(1,3,512,512)` RGB 0..1, mask `(1,1,512,512)`. Output: repainted image.
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+ Compiled via Qualcomm AI Hub at float precision (no quantization).
lama_dilated.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 459
lama_dilated_qairt_context.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5827365f304cc336721e862be92b66ca8158cef41fe2fa72e4b3cbe7fd287ed6
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+ size 97636352