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.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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 qwen2.5-7b-instruct_qnn229_qcs8550_4096_2_of_5.serialized.aidem filter=lfs diff=lfs merge=lfs -text
+model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/python/input_image.png filter=lfs diff=lfs merge=lfs -text

model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/README.md

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+## Model Information
+
+### Source model
+- Input shape: [[1x3x512x512],[1x1x512x512]]
+- Number of parameters: 14.51M
+- Model size: 61.29M
+- Output shape: [1x3x512x512]
+
+Source model repository: [aot-gan](https://github.com/researchmm/AOT-GAN-for-Inpainting)
+
+### Converted model
+
+- Precision: INT8
+- Backend: QNN2.31
+- Target Device: FV01 QCS6490
+
+## Inference with AidLite SDK
+
+### SDK installation
+Model Farm uses AidLite SDK as the model inference SDK. For details, please refer to the [AidLite Developer Documentation](https://v2.docs.aidlux.com/en/sdk-api/aidlite-sdk/)
+
+- Install AidLite SDK
+
+```bash
+# Install the appropriate version of the aidlite sdk
+sudo aid-pkg update
+sudo aid-pkg install aidlite-sdk
+# Download the qnn version that matches the above backend. Eg Install QNN2.23 Aidlite: sudo aid-pkg install aidlite-qnn223
+sudo aid-pkg install aidlite-{QNN VERSION}
+```
+
+- Verify AidLite SDK
+
+```bash
+# aidlite sdk c++ check
+python3 -c "import aidlite ; print(aidlite.get_library_version())"
+
+# aidlite sdk python check
+python3 -c "import aidlite ; print(aidlite.get_py_library_version())"
+```

model_farm_aot_gan_qcs6490_qnn2.31_int8_aidlite/models/aot_gan_w8a8.qnn231.ctx.bin

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