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qualcomm
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ControlNet

Unconditional Image Generation
PyTorch
generative_ai
quantized
android
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@@ -37,10 +37,10 @@ More details on model performance across various devices, can be found
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 11.369 ms | 0 - 33 MB | UINT16 | NPU | [TextEncoder_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/TextEncoder_Quantized.bin)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 386.746 ms | 0 - 4 MB | UINT16 | NPU | [VAEDecoder_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/VAEDecoder_Quantized.bin)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 259.981 ms | 12 - 14 MB | UINT16 | NPU | [UNet_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/UNet_Quantized.bin)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 103.748 ms | 0 - 22 MB | UINT16 | NPU | [ControlNet_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/ControlNet_Quantized.bin)
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  ## Installation
@@ -101,30 +101,30 @@ python -m qai_hub_models.models.controlnet_quantized.export
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  ```
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  Profile Job summary of TextEncoder_Quantized
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  --------------------------------------------------
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- Device: Samsung Galaxy S23 Ultra (13)
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- Estimated Inference Time: 11.37 ms
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- Estimated Peak Memory Range: 0.05-33.25 MB
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  Compute Units: NPU (570) | Total (570)
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- Profile Job summary of VAEDecoder_Quantized
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- --------------------------------------------------
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- Device: Samsung Galaxy S23 Ultra (13)
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- Estimated Inference Time: 386.75 ms
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- Estimated Peak Memory Range: 0.12-4.28 MB
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- Compute Units: NPU (409) | Total (409)
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-
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  Profile Job summary of UNet_Quantized
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  --------------------------------------------------
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- Device: Samsung Galaxy S23 Ultra (13)
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- Estimated Inference Time: 259.98 ms
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- Estimated Peak Memory Range: 12.45-14.35 MB
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  Compute Units: NPU (5434) | Total (5434)
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  Profile Job summary of ControlNet_Quantized
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  --------------------------------------------------
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- Device: Samsung Galaxy S23 Ultra (13)
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- Estimated Inference Time: 103.75 ms
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- Estimated Peak Memory Range: 0.19-22.20 MB
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  Compute Units: NPU (2406) | Total (2406)
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 11.394 ms | 0 - 74 MB | UINT16 | NPU | [TextEncoder_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/TextEncoder_Quantized.bin)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 262.52 ms | 11 - 17 MB | UINT16 | NPU | [UNet_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/UNet_Quantized.bin)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 390.243 ms | 0 - 36 MB | UINT16 | NPU | [VAEDecoder_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/VAEDecoder_Quantized.bin)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Binary | 100.33 ms | 2 - 68 MB | UINT16 | NPU | [ControlNet_Quantized.bin](https://huggingface.co/qualcomm/ControlNet/blob/main/ControlNet_Quantized.bin)
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  ## Installation
 
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  ```
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  Profile Job summary of TextEncoder_Quantized
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  --------------------------------------------------
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+ Device: Samsung Galaxy S24 (14)
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+ Estimated Inference Time: 8.08 ms
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+ Estimated Peak Memory Range: 0.01-137.23 MB
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  Compute Units: NPU (570) | Total (570)
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  Profile Job summary of UNet_Quantized
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  --------------------------------------------------
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+ Device: Samsung Galaxy S24 (14)
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+ Estimated Inference Time: 192.79 ms
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+ Estimated Peak Memory Range: 2.66-1246.59 MB
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  Compute Units: NPU (5434) | Total (5434)
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+ Profile Job summary of VAEDecoder_Quantized
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+ --------------------------------------------------
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+ Device: Samsung Galaxy S24 (14)
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+ Estimated Inference Time: 294.40 ms
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+ Estimated Peak Memory Range: 0.20-88.33 MB
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+ Compute Units: NPU (409) | Total (409)
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+
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  Profile Job summary of ControlNet_Quantized
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  --------------------------------------------------
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+ Device: Samsung Galaxy S24 (14)
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+ Estimated Inference Time: 76.94 ms
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+ Estimated Peak Memory Range: 0.00-532.61 MB
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  Compute Units: NPU (2406) | Total (2406)
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