v0.32.0
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.32.0 for changelog.
- .gitattributes +1 -0
- DEPLOYMENT_MODEL_LICENSE.pdf +3 -0
- ESRGAN.onnx +2 -2
- LICENSE +2 -0
- README.md +5 -5
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ESRGAN.so filter=lfs diff=lfs merge=lfs -text
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ESRGAN.dlc filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ESRGAN.so filter=lfs diff=lfs merge=lfs -text
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ESRGAN.dlc filter=lfs diff=lfs merge=lfs -text
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DEPLOYMENT_MODEL_LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
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DEPLOYMENT_MODEL_LICENSE.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4409f93b0e82531303b3e10f52f1fdfb56467a25f05b7441c6bbd8bb8a64b42c
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size 109629
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ESRGAN.onnx
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3831800353f8354b2e7e8bc24f4fe4d497925bbe98261a4a8d6514c088e28eef
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size 67202936
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LICENSE
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The license of the original trained model can be found at https://github.com/xinntao/ESRGAN/blob/master/LICENSE.
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The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.
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README.md
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@@ -30,7 +30,7 @@ More details on model performance across various devices, can be found
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- Model checkpoint: ESRGAN_x4
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- Input resolution: 128x128
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- Number of parameters: 16.7M
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- Model size:
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| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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| ESRGAN | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 105.274 ms | 0 - 130 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 67.727 ms | 0 - 106 MB | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 64.021 ms | 0 - 43 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX |
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| ESRGAN | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 51.329 ms | 0 - 205 MB | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 48.631 ms | 0 - 134 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 51.
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| ESRGAN | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 40.502 ms | 3 - 200 MB | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 42.33 ms | 0 - 126 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX |
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| ESRGAN | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 65.21 ms | 134 - 134 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 65.
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- Model checkpoint: ESRGAN_x4
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- Input resolution: 128x128
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- Number of parameters: 16.7M
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- Model size (float): 63.9 MB
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| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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|---|---|---|---|---|---|---|---|---|
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| ESRGAN | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 105.274 ms | 0 - 130 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 67.727 ms | 0 - 106 MB | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 64.021 ms | 0 - 43 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 73.805 ms | 6 - 111 MB | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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| ESRGAN | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 51.329 ms | 0 - 205 MB | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 48.631 ms | 0 - 134 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 51.277 ms | 5 - 205 MB | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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| ESRGAN | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 40.502 ms | 3 - 200 MB | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 42.33 ms | 0 - 126 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 39.079 ms | 6 - 136 MB | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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| ESRGAN | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 65.21 ms | 134 - 134 MB | NPU | [ESRGAN.dlc](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.dlc) |
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| ESRGAN | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 65.575 ms | 37 - 37 MB | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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