v0.60.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.
- README.md +93 -85
- release_assets.json +6 -6
README.md
CHANGED
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@@ -14,7 +14,7 @@ pipeline_tag: image-to-image
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NAFNET is designed for lightweight real-time denoising of images.
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This is based on the implementation of NAFNet-DeNoise found [here](https://github.com/megvii-research/NAFNet.git).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
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For more device-specific assets and performance metrics, visit **[NAFNet-DeNoise on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nafnet_denoise)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [NAFNet-DeNoise on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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**Model Type:** Model_use_case.image_editing
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**Model Stats:**
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- Model checkpoint: NAFNet-SIDD-width64
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- Input resolution: 256x256
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- Model size (float): 463.93 MB
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| NAFNet-DeNoise | ONNX | float | Snapdragon® X2 Elite | 14.
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| NAFNet-DeNoise | ONNX | float | Snapdragon® X Elite | 33.
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 27.
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 61.
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | ONNX | float | Qualcomm®
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| NAFNet-DeNoise | ONNX | float | Qualcomm®
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™ IQ-
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | ONNX | float |
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Elite
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| NAFNet-DeNoise | ONNX |
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon®
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon®
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® 8 Gen
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| NAFNet-DeNoise | ONNX | w8a16 |
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm®
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm®
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | ONNX | w8a16 |
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| NAFNet-DeNoise | ONNX | w8a16 |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise | QNN_DLC | float |
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| NAFNet-DeNoise | QNN_DLC | float |
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| NAFNet-DeNoise | QNN_DLC | float |
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| NAFNet-DeNoise | QNN_DLC | float |
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | float |
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| NAFNet-DeNoise | QNN_DLC | float |
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| NAFNet-DeNoise | QNN_DLC |
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| NAFNet-DeNoise | QNN_DLC |
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| NAFNet-DeNoise | QNN_DLC |
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| NAFNet-DeNoise | QNN_DLC |
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| NAFNet-DeNoise | QNN_DLC |
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| NAFNet-DeNoise | QNN_DLC |
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm®
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise |
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| NAFNet-DeNoise | TFLITE | float |
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| NAFNet-DeNoise | TFLITE | float |
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| NAFNet-DeNoise | TFLITE | float | Qualcomm® Dragonwing™
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| NAFNet-DeNoise | TFLITE | float | Qualcomm®
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| NAFNet-DeNoise | TFLITE | float | Qualcomm®
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| NAFNet-DeNoise | TFLITE | float |
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| NAFNet-DeNoise | TFLITE | float |
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## License
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* The license for the original implementation of NAFNet-DeNoise can be found
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NAFNET is designed for lightweight real-time denoising of images.
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This is based on the implementation of NAFNet-DeNoise found [here](https://github.com/megvii-research/NAFNet.git).
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+
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/nafnet_denoise) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[NAFNet-DeNoise on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nafnet_denoise)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/nafnet_denoise) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [NAFNet-DeNoise on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/nafnet_denoise) for usage instructions.
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## Model Details
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**Model Type:** Model_use_case.image_editing
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**Model Stats:**
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- Input resolution: 256x256
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- Model checkpoint: NAFNet-SIDD-width64
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- Model size (float): 463.93 MB
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- Number of parameters: 115.98M
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| NAFNet-DeNoise | ONNX | float | Snapdragon® X2 Elite | 14.886 ms | 4 - 4 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Snapdragon® X Elite | 33.94 ms | 229 - 229 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 27.771 ms | 0 - 846 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 61.455 ms | 3 - 722 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 45.536 ms | 2 - 6 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 35.398 ms | 0 - 259 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Qualcomm® QCS8450 | 61.455 ms | 3 - 722 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 42.915 ms | 2 - 5 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 33.94 ms | 229 - 229 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 20.284 ms | 2 - 501 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Elite Mobile | 20.284 ms | 2 - 501 MB | NPU
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| NAFNet-DeNoise | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 14.452 ms | 0 - 536 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® X2 Elite | 11.773 ms | 1 - 1 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® X Elite | 28.568 ms | 118 - 118 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 20.573 ms | 0 - 594 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 45.063 ms | 0 - 610 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 132.366 ms | 1 - 4 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 26.906 ms | 1 - 5 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 28.425 ms | 0 - 131 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® QCS8450 | 45.063 ms | 0 - 610 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 27.704 ms | 1 - 4 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 28.568 ms | 118 - 118 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 275.972 ms | 1 - 872 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 34.701 ms | 1 - 586 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 16.362 ms | 1 - 470 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 16.362 ms | 1 - 470 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 11.25 ms | 1 - 548 MB | NPU
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| NAFNet-DeNoise | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 34.701 ms | 1 - 586 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Snapdragon® X2 Elite | 15.742 ms | 1 - 1 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Snapdragon® X Elite | 35.834 ms | 1 - 1 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 28.346 ms | 0 - 893 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 61.457 ms | 0 - 730 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 47.34 ms | 1 - 5 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 136.039 ms | 1 - 546 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 37.189 ms | 1 - 3 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® SA8775P | 43.522 ms | 1 - 558 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® SA8650P | 43.522 ms | 1 - 558 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® SA8255P | 43.522 ms | 1 - 558 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® QCS8450 | 61.457 ms | 0 - 730 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 43.713 ms | 1 - 4 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 35.834 ms | 1 - 1 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 20.431 ms | 1 - 542 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® SA7255P | 136.039 ms | 1 - 546 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Qualcomm® SA8295P | 48.021 ms | 1 - 398 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 20.431 ms | 1 - 542 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 14.741 ms | 0 - 622 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 13.257 ms | 0 - 0 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® X Elite | 28.8 ms | 1 - 1 MB | NPU
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 20.899 ms | 0 - 580 MB | NPU
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| 112 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 46.019 ms | 0 - 593 MB | NPU
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| 113 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 129.924 ms | 2 - 5 MB | NPU
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| 114 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 26.896 ms | 0 - 3 MB | NPU
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| 115 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 57.557 ms | 1 - 477 MB | NPU
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| 116 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 28.453 ms | 0 - 12 MB | NPU
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| 117 |
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| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® SA8775P | 28.067 ms | 0 - 477 MB | NPU
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| 118 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® SA8650P | 28.067 ms | 0 - 477 MB | NPU
|
| 119 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® SA8255P | 28.067 ms | 0 - 477 MB | NPU
|
| 120 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 46.019 ms | 0 - 593 MB | NPU
|
| 121 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 31.224 ms | 2 - 5 MB | NPU
|
| 122 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 28.8 ms | 1 - 1 MB | NPU
|
| 123 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 407.867 ms | 1 - 918 MB | NPU
|
| 124 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 48.236 ms | 0 - 631 MB | NPU
|
| 125 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 16.256 ms | 0 - 479 MB | NPU
|
| 126 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® SA7255P | 57.557 ms | 1 - 477 MB | NPU
|
| 127 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Qualcomm® SA8295P | 36.897 ms | 0 - 474 MB | NPU
|
| 128 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 16.256 ms | 0 - 479 MB | NPU
|
| 129 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 11.467 ms | 0 - 520 MB | NPU
|
| 130 |
+
| NAFNet-DeNoise | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 48.236 ms | 0 - 631 MB | NPU
|
| 131 |
+
| NAFNet-DeNoise | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 28.396 ms | 1 - 1122 MB | NPU
|
| 132 |
+
| NAFNet-DeNoise | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 65.385 ms | 1 - 963 MB | NPU
|
| 133 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 47.864 ms | 1 - 234 MB | NPU
|
| 134 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 136.658 ms | 1 - 765 MB | NPU
|
| 135 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 37.45 ms | 1 - 4 MB | NPU
|
| 136 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® SA8775P | 43.744 ms | 1 - 777 MB | NPU
|
| 137 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® SA8650P | 43.744 ms | 1 - 777 MB | NPU
|
| 138 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® SA8255P | 43.744 ms | 1 - 777 MB | NPU
|
| 139 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® QCS8450 | 65.385 ms | 1 - 963 MB | NPU
|
| 140 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 43.706 ms | 1 - 233 MB | NPU
|
| 141 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 20.313 ms | 1 - 760 MB | NPU
|
| 142 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® SA7255P | 136.658 ms | 1 - 765 MB | NPU
|
| 143 |
+
| NAFNet-DeNoise | TFLITE | float | Qualcomm® SA8295P | 50.802 ms | 1 - 629 MB | NPU
|
| 144 |
+
| NAFNet-DeNoise | TFLITE | float | Snapdragon® 8 Elite Mobile | 20.313 ms | 1 - 760 MB | NPU
|
| 145 |
+
| NAFNet-DeNoise | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 14.775 ms | 1 - 850 MB | NPU
|
| 146 |
|
| 147 |
## License
|
| 148 |
* The license for the original implementation of NAFNet-DeNoise can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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@@ -8,19 +8,19 @@
|
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| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
@@ -31,13 +31,13 @@
|
|
| 31 |
"qairt": "2.45.0.260326154327",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327"
|
| 39 |
},
|
| 40 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.60.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 31 |
"qairt": "2.45.0.260326154327",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-onnx-w8a16.zip"
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327"
|
| 39 |
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nafnet_denoise/releases/v0.60.0/nafnet_denoise-qnn_dlc-w8a16.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|