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            ---
         
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            library_name: pytorch
         
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            license:  
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            tags:
         
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            - generative_ai
         
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            - quantized
         
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            - android
         
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            pipeline_tag: unconditional-image-generation
         
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            ### Model Details
         
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            - **Model Type:**  
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            - **Model Stats:**
         
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              - Input: Text prompt to generate image
         
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              - Text Encoder Number of parameters: 340M
         
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              - VAE Decoder Number of parameters: 83M
         
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              - Model size: 1GB
         
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            | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | TextEncoderQuantizable |  
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            | UnetQuantizable |  
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            | UnetQuantizable |  
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            | UnetQuantizable |  
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            | UnetQuantizable |  
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            | UnetQuantizable |  
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            | UnetQuantizable |  
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            | UnetQuantizable |  
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            | VaeDecoderQuantizable | QCS8275 (Proxy) | QCS8275 Proxy | QNN |  
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            | VaeDecoderQuantizable | QCS8550 (Proxy) | QCS8550 Proxy | QNN |  
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            | VaeDecoderQuantizable | QCS9075 (Proxy) | QCS9075 Proxy | QNN |  
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            Install the package via pip:
         
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            ```bash
         
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            pip install "qai-hub-models[stable-diffusion-v2-1-quantized]" 
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            ```
         
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         @@ -131,30 +142,30 @@ python -m qai_hub_models.models.stable_diffusion_v2_1_quantized.export 
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            Profiling Results
         
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            ------------------------------------------------------------
         
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            TextEncoderQuantizable
         
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            Device                          :  
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            Runtime                         : QNN 
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            Estimated inference time (ms)   :  
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            Estimated peak memory usage (MB): [0,  
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            Total # Ops                     :  
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            Compute Unit(s)                 :  
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            ------------------------------------------------------------
         
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            UnetQuantizable
         
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            Device                          :  
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            Runtime                         : QNN 
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            Estimated inference time (ms)   :  
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            Estimated peak memory usage (MB): [0,  
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            Total # Ops                     :  
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            Compute Unit(s)                 :  
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            ------------------------------------------------------------
         
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            VaeDecoderQuantizable
         
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            Device                          :  
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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                     : 189 
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            Compute Unit(s)                 :  
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            ```
         
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            ---
         
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            library_name: pytorch
         
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            license: other
         
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            tags:
         
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            - generative_ai
         
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            - android
         
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            pipeline_tag: unconditional-image-generation
         
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            ### Model Details
         
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            - **Model Type:** Model_use_case.image_generation
         
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            - **Model Stats:**
         
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              - Input: Text prompt to generate image
         
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              - Text Encoder Number of parameters: 340M
         
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              - VAE Decoder Number of parameters: 83M
         
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              - Model size: 1GB
         
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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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            | TextEncoderQuantizable | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 15.92 ms | 0 - 9 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 6.594 ms | 0 - 2 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 6.814 ms | 0 - 9 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 15.92 ms | 0 - 9 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 6.634 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 6.813 ms | 0 - 2 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 6.814 ms | 0 - 9 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 6.632 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 6.859 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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            | TextEncoderQuantizable | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 4.62 ms | 0 - 19 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 5.075 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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            | TextEncoderQuantizable | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 4.173 ms | 0 - 14 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 4.499 ms | 0 - 13 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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            | TextEncoderQuantizable | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 6.834 ms | 0 - 0 MB | NPU | Use Export Script |
         
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            | TextEncoderQuantizable | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.823 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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            | UnetQuantizable | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 241.358 ms | 0 - 8 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 97.192 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 92.111 ms | 0 - 8 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 241.358 ms | 0 - 8 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 97.903 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 96.775 ms | 0 - 2 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 92.111 ms | 0 - 8 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 97.437 ms | 0 - 5 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 98.551 ms | 0 - 3 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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            | UnetQuantizable | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 69.198 ms | 0 - 19 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 69.745 ms | 0 - 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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            | UnetQuantizable | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 61.688 ms | 0 - 14 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 62.663 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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            | UnetQuantizable | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 98.945 ms | 0 - 0 MB | NPU | Use Export Script |
         
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            | UnetQuantizable | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 99.538 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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            | VaeDecoderQuantizable | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 720.835 ms | 1 - 10 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 270.663 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 250.403 ms | 0 - 12 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN | 720.835 ms | 1 - 10 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN | 271.924 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN | 274.917 ms | 0 - 2 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN | 250.403 ms | 0 - 12 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 269.888 ms | 0 - 3 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 269.758 ms | 0 - 66 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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            | VaeDecoderQuantizable | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 203.298 ms | 0 - 20 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 204.412 ms | 3 - 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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            | VaeDecoderQuantizable | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 193.019 ms | 0 - 15 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 188.783 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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            | VaeDecoderQuantizable | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 266.283 ms | 0 - 0 MB | NPU | Use Export Script |
         
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            | VaeDecoderQuantizable | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 266.925 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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            Install the package via pip:
         
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            ```bash
         
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            pip install "qai-hub-models[stable-diffusion-v2-1-quantized]"
         
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            ```
         
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            Profiling Results
         
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            ------------------------------------------------------------
         
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            TextEncoderQuantizable
         
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            Device                          : cs_8275 (ANDROID 14)                 
         
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            Runtime                         : QNN                                  
         
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            Estimated inference time (ms)   : 15.9                                 
         
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            Estimated peak memory usage (MB): [0, 9]                               
         
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            Total # Ops                     : 971                                  
         
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            Compute Unit(s)                 : npu (971 ops) gpu (0 ops) cpu (0 ops)
         
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            ------------------------------------------------------------
         
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            UnetQuantizable
         
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            Device                          : cs_8275 (ANDROID 14)                  
         
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            Runtime                         : QNN                                   
         
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            Estimated inference time (ms)   : 241.4                                 
         
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            Estimated peak memory usage (MB): [0, 8]                                
         
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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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            VaeDecoderQuantizable
         
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            Device                          : cs_8275 (ANDROID 14)                 
         
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            Runtime                         : QNN                                  
         
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            Estimated inference time (ms)   : 720.8                                
         
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            Estimated peak memory usage (MB): [1, 10]                              
         
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            Total # Ops                     : 189                                  
         
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            Compute Unit(s)                 : npu (189 ops) gpu (0 ops) cpu (0 ops)
         
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            ```
         
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