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Browse files- README.md +17 -0
- lama_dilated.onnx +3 -0
- lama_dilated_qairt_context.bin +3 -0
README.md
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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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# LaMa object-removal eraser — Snapdragon 8 Gen 3 (Hexagon v75), Hexagon NPU
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Precompiled QNN-ONNX build of **LaMa** (`lama_dilated`, Apache-2.0) for **Snapdragon 8 Gen 3 (Hexagon v75)**,
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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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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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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).
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lama_dilated.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:04d544d62b535c813d0c9f1735f46a34bb19241a96780dcb80544523cf2c92f6
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size 459
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lama_dilated_qairt_context.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:31a8222ffb450518acc066d598172aa6712d69fb5445762eff752f0c382f321a
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size 97574912
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