v0.30.5
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.30.5 for changelog.
README.md
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@@ -36,52 +36,58 @@ More details on model performance across various devices, can be found
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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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@@ -141,31 +147,31 @@ python -m qai_hub_models.models.stable_diffusion_v2_1.export
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```
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Profiling Results
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------------------------------------------------------------
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [0, 9]
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Total # Ops :
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Compute Unit(s) : npu (
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------------------------------------------------------------
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [
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Total # Ops : 5783
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Compute Unit(s) : npu (5783 ops) gpu (0 ops) cpu (0 ops)
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------------------------------------------------------------
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [0, 9]
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Total # Ops :
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Compute Unit(s) : npu (
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```
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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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| text_encoder | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 18.456 ms | 0 - 9 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 8.173 ms | 0 - 2 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 8.367 ms | 0 - 9 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 18.456 ms | 0 - 9 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 8.393 ms | 0 - 2 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 8.257 ms | 0 - 2 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 8.367 ms | 0 - 9 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 8.245 ms | 0 - 2 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 8.133 ms | 0 - 386 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| text_encoder | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 5.767 ms | 0 - 18 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 5.364 ms | 0 - 20 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| text_encoder | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 5.13 ms | 0 - 14 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 5.361 ms | 0 - 14 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| text_encoder | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 8.624 ms | 0 - 0 MB | NPU | Use Export Script |
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| text_encoder | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.244 ms | 378 - 378 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| unet | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 232.337 ms | 2 - 9 MB | NPU | Use Export Script |
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| unet | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 93.471 ms | 0 - 2 MB | NPU | Use Export Script |
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| unet | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 87.875 ms | 0 - 8 MB | NPU | Use Export Script |
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| unet | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 232.337 ms | 2 - 9 MB | NPU | Use Export Script |
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| unet | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 93.998 ms | 0 - 3 MB | NPU | Use Export Script |
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| unet | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 94.023 ms | 0 - 2 MB | NPU | Use Export Script |
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| unet | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 87.875 ms | 0 - 8 MB | NPU | Use Export Script |
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| unet | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 93.779 ms | 0 - 3 MB | NPU | Use Export Script |
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| unet | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 94.913 ms | 0 - 898 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| unet | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 65.976 ms | 0 - 18 MB | NPU | Use Export Script |
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| unet | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 68.382 ms | 0 - 16 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| unet | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 52.475 ms | 0 - 15 MB | NPU | Use Export Script |
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| unet | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 58.492 ms | 0 - 18 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| unet | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 95.267 ms | 0 - 0 MB | NPU | Use Export Script |
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| unet | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 96.199 ms | 842 - 842 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| vae | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 719.096 ms | 0 - 9 MB | NPU | Use Export Script |
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| vae | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 267.027 ms | 0 - 3 MB | NPU | Use Export Script |
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| vae | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 248.931 ms | 0 - 10 MB | NPU | Use Export Script |
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| vae | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 719.096 ms | 0 - 9 MB | NPU | Use Export Script |
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| vae | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 268.927 ms | 0 - 2 MB | NPU | Use Export Script |
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| vae | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 267.889 ms | 0 - 2 MB | NPU | Use Export Script |
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| vae | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 248.931 ms | 0 - 10 MB | NPU | Use Export Script |
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| vae | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 269.837 ms | 0 - 2 MB | NPU | Use Export Script |
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| vae | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 272.79 ms | 0 - 68 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| vae | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 202.859 ms | 0 - 21 MB | NPU | Use Export Script |
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| vae | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 208.42 ms | 4 - 22 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| vae | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 175.718 ms | 0 - 15 MB | NPU | Use Export Script |
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| vae | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 194.087 ms | 3 - 17 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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| vae | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 265.086 ms | 0 - 0 MB | NPU | Use Export Script |
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| vae | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 264.341 ms | 63 - 63 MB | NPU | [Stable-Diffusion-v2.1.onnx](https://huggingface.co/qualcomm/Stable-Diffusion-v2.1/blob/main/Stable-Diffusion-v2.1_w8a16.onnx) |
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## Deploy to Snapdragon X Elite NPU
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Please follow the [Stable Diffusion Windows App](https://github.com/quic/ai-hub-apps/tree/main/apps/windows/python/StableDiffusion) tutorial to quantize model with custom weights.
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## Quantize and Deploy Your Own Fine-Tuned Stable Diffusion
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Please follow the [Quantize Stable Diffusion]({REPOSITORY_URL}/tutorials/stable_diffusion/quantize_stable_diffusion.md) tutorial to quantize model with custom weights.
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```
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Profiling Results
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------------------------------------------------------------
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text_encoder
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN
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Estimated inference time (ms) : 18.5
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Estimated peak memory usage (MB): [0, 9]
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Total # Ops : 787
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Compute Unit(s) : npu (787 ops) gpu (0 ops) cpu (0 ops)
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------------------------------------------------------------
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unet
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN
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Estimated inference time (ms) : 232.3
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Estimated peak memory usage (MB): [2, 9]
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Total # Ops : 5783
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Compute Unit(s) : npu (5783 ops) gpu (0 ops) cpu (0 ops)
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------------------------------------------------------------
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vae
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Device : cs_8275 (ANDROID 14)
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Runtime : QNN
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Estimated inference time (ms) : 719.1
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Estimated peak memory usage (MB): [0, 9]
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Total # Ops : 173
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Compute Unit(s) : npu (173 ops) gpu (0 ops) cpu (0 ops)
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```
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