v0.46.1

See https://github.com/quic/ai-hub-models/releases/v0.46.1 for changelog.

README.md

@@ -10,71 +10,14 @@ pipeline_tag: unconditional-image-generation
 
 ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/web-assets/model_demo.png)
 
-# Stable-Diffusion-v2.1: Optimized for Mobile Deployment
-## State-of-the-art generative AI model used to generate detailed images conditioned on text descriptions
-
+# Stable-Diffusion-v2.1: Optimized for Qualcomm Devices
 
 Generates high resolution images from text prompts using a latent diffusion model. This model uses CLIP ViT-L/14 as text encoder, U-Net based latent denoising, and VAE based decoder to generate the final image.
 
-This model is an implementation of Stable-Diffusion-v2.1 found [here](https://github.com/CompVis/stable-diffusion/tree/main).
-
-
-This repository provides scripts to run Stable-Diffusion-v2.1 on Qualcomm® devices.
-More details on model performance across various devices, can be found
-[here](https://aihub.qualcomm.com/models/stable_diffusion_v2_1).
-
-
-
-### Model Details
-
-- **Model Type:** Model_use_case.image_generation
-- **Model Stats:**
-  - Input: Text prompt to generate image
-
-| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
-|---|---|---|---|---|---|---|---|---|
-| text_encoder | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 18.419 ms | 0 - 9 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 7.934 ms | 0 - 3 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | PRECOMPILED_QNN_ONNX | 7.796 ms | 0 - 386 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 8.312 ms | 0 - 9 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 18.419 ms | 0 - 9 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 8.312 ms | 0 - 9 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 5.365 ms | 0 - 19 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 5.139 ms | 0 - 19 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_CONTEXT_BINARY | 4.294 ms | 0 - 17 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | PRECOMPILED_QNN_ONNX | 4.337 ms | 0 - 13 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen 5 Mobile | QNN_CONTEXT_BINARY | 4.28 ms | 0 - 11 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen 5 Mobile | PRECOMPILED_QNN_ONNX | 4.251 ms | 0 - 14 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 8.291 ms | 0 - 0 MB | NPU | Use Export Script |
-| text_encoder | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 7.808 ms | 379 - 379 MB | NPU | Use Export Script |
-| unet | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 232.937 ms | 0 - 8 MB | NPU | Use Export Script |
-| unet | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 96.38 ms | 0 - 3 MB | NPU | Use Export Script |
-| unet | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | PRECOMPILED_QNN_ONNX | 95.624 ms | 0 - 898 MB | NPU | Use Export Script |
-| unet | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 89.164 ms | 0 - 8 MB | NPU | Use Export Script |
-| unet | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 232.937 ms | 0 - 8 MB | NPU | Use Export Script |
-| unet | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 89.164 ms | 0 - 8 MB | NPU | Use Export Script |
-| unet | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 68.335 ms | 0 - 19 MB | NPU | Use Export Script |
-| unet | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 68.651 ms | 0 - 16 MB | NPU | Use Export Script |
-| unet | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_CONTEXT_BINARY | 54.913 ms | 0 - 14 MB | NPU | Use Export Script |
-| unet | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | PRECOMPILED_QNN_ONNX | 55.953 ms | 0 - 11 MB | NPU | Use Export Script |
-| unet | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen 5 Mobile | QNN_CONTEXT_BINARY | 42.594 ms | 0 - 11 MB | NPU | Use Export Script |
-| unet | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen 5 Mobile | PRECOMPILED_QNN_ONNX | 41.234 ms | 0 - 7 MB | NPU | Use Export Script |
-| unet | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 95.869 ms | 0 - 0 MB | NPU | Use Export Script |
-| unet | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 95.757 ms | 843 - 843 MB | NPU | Use Export Script |
-| vae | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_CONTEXT_BINARY | 721.245 ms | 0 - 9 MB | NPU | Use Export Script |
-| vae | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_CONTEXT_BINARY | 269.233 ms | 0 - 3 MB | NPU | Use Export Script |
-| vae | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | PRECOMPILED_QNN_ONNX | 221.348 ms | 3 - 6 MB | NPU | Use Export Script |
-| vae | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_CONTEXT_BINARY | 252.403 ms | 1 - 10 MB | NPU | Use Export Script |
-| vae | w8a16 | SA7255P ADP | Qualcomm® SA7255P | QNN_CONTEXT_BINARY | 721.245 ms | 0 - 9 MB | NPU | Use Export Script |
-| vae | w8a16 | SA8775P ADP | Qualcomm® SA8775P | QNN_CONTEXT_BINARY | 252.403 ms | 1 - 10 MB | NPU | Use Export Script |
-| vae | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_CONTEXT_BINARY | 201.246 ms | 0 - 19 MB | NPU | Use Export Script |
-| vae | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | PRECOMPILED_QNN_ONNX | 161.857 ms | 3 - 22 MB | NPU | Use Export Script |
-| vae | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_CONTEXT_BINARY | 176.589 ms | 0 - 18 MB | NPU | Use Export Script |
-| vae | w8a16 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | PRECOMPILED_QNN_ONNX | 145.862 ms | 3 - 17 MB | NPU | Use Export Script |
-| vae | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen 5 Mobile | QNN_CONTEXT_BINARY | 117.531 ms | 0 - 11 MB | NPU | Use Export Script |
-| vae | w8a16 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen 5 Mobile | PRECOMPILED_QNN_ONNX | 92.037 ms | 3 - 14 MB | NPU | Use Export Script |
-| vae | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_CONTEXT_BINARY | 264.316 ms | 0 - 0 MB | NPU | Use Export Script |
-| vae | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | PRECOMPILED_QNN_ONNX | 217.581 ms | 59 - 59 MB | NPU | Use Export Script |
+This is based on the implementation of Stable-Diffusion-v2.1 found [here](https://github.com/CompVis/stable-diffusion/tree/main).
+This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/stable_diffusion_v2_1) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
+
+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.
 
 ## Deploy to Snapdragon X Elite NPU
 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.
@@ -83,101 +26,138 @@ Please follow the [Stable Diffusion Windows App](https://github.com/quic/ai-hub-
 
 Please follow the [Quantize Stable Diffusion]({REPOSITORY_URL}/tutorials/stable_diffusion/quantize_stable_diffusion.md) tutorial to quantize model with custom weights.
 
-
-
-## Installation
-
-
-Install the package via pip:
-```bash
-# NOTE: 3.10 <= PYTHON_VERSION < 3.14 is supported.
-pip install "qai-hub-models[stable-diffusion-v2-1]"
-```
-
-
-## Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device
-
-Sign-in to [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.com/) with your
-Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
-
-With this API token, you can configure your client to run models on the cloud
-hosted devices.
-```bash
-qai-hub configure --api_token API_TOKEN
-```
-Navigate to [docs](https://workbench.aihub.qualcomm.com/docs/) for more information.
-
-
-
-## Demo off target
-
-The package contains a simple end-to-end demo that downloads pre-trained
-weights and runs this model on a sample input.
-
-```bash
-python -m qai_hub_models.models.stable_diffusion_v2_1.demo
-```
-
-The above demo runs a reference implementation of pre-processing, model
-inference, and post processing.
-
-**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
-environment, please add the following to your cell (instead of the above).
-```
-%run -m qai_hub_models.models.stable_diffusion_v2_1.demo
-```
-
-
-### Run model on a cloud-hosted device
-
-In addition to the demo, you can also run the model on a cloud-hosted Qualcomm®
-device. This script does the following:
-* Performance check on-device on a cloud-hosted device
-* Downloads compiled assets that can be deployed on-device for Android.
-* Accuracy check between PyTorch and on-device outputs.
-
-```bash
-python -m qai_hub_models.models.stable_diffusion_v2_1.export
-```
-
-
-
-
-
-
-## Deploying compiled model to Android
-
-
-The models can be deployed using multiple runtimes:
-- TensorFlow Lite (`.tflite` export): [This
-  tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a
-  guide to deploy the .tflite model in an Android application.
-
-
-- QNN (`.so` export ): This [sample
-  app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
-provides instructions on how to use the `.so` shared library  in an Android application.
-
-
-## View on Qualcomm® AI Hub
-Get more details on Stable-Diffusion-v2.1's performance across various devices [here](https://aihub.qualcomm.com/models/stable_diffusion_v2_1).
-Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
-
+## Getting Started
+There are two ways to deploy this model on your device:
+
+### Option 1: Download Pre-Exported Models
+
+Below are pre-exported model assets ready for deployment.
+
+| Runtime | Precision | Chipset | SDK Versions | Download |
+|---|---|---|---|---|
+| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_x_elite.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_8gen3.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_qcs8550_proxy.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_8_elite_for_galaxy.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_7gen4.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_snapdragon_8_elite_gen5.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_qcm6690.zip)
+| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-precompiled_qnn_onnx-w8a16-qualcomm_qcs9075.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_snapdragon_x_elite.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_snapdragon_8gen3.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_qcs8550_proxy.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_sa8775p.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_snapdragon_8_elite_for_galaxy.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_snapdragon_7gen4.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_snapdragon_8_elite_gen5.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_qcm6690.zip)
+| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/stable_diffusion_v2_1/releases/v0.46.1/stable_diffusion_v2_1-qnn_context_binary-w8a16-qualcomm_qcs9075.zip)
+
+For more device-specific assets and performance metrics, visit **[Stable-Diffusion-v2.1 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/stable_diffusion_v2_1)**.
+
+
+### Option 2: Export with Custom Configurations
+
+Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/stable_diffusion_v2_1) Python library to compile and export the model with your own:
+- Custom weights (e.g., fine-tuned checkpoints)
+- Custom input shapes
+- Target device and runtime configurations
+
+This option is ideal if you need to customize the model beyond the default configuration provided here.
+
+See our repository for [Stable-Diffusion-v2.1 on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/stable_diffusion_v2_1) for usage instructions.
+
+## Model Details
+
+**Model Type:** Model_use_case.image_generation
+
+**Model Stats:**
+- Input: Text prompt to generate image
+
+## Performance Summary
+| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
+|---|---|---|---|---|---|---
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 7.792 ms | 378 - 378 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.109 ms | 0 - 12 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 7.751 ms | 0 - 386 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 7.588 ms | 0 - 3 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 67.98 ms | 0 - 11 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.435 ms | 0 - 12 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 11.287 ms | 0 - 7 MB | NPU
+| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.234 ms | 0 - 10 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 8.348 ms | 0 - 0 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.602 ms | 0 - 7 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 7.958 ms | 0 - 2 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 8.369 ms | 0 - 9 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 7.967 ms | 0 - 2 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 76.001 ms | 0 - 6 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.632 ms | 0 - 12 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 11.506 ms | 0 - 6 MB | NPU
+| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.288 ms | 0 - 9 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 95.816 ms | 843 - 843 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 69.512 ms | 0 - 13 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 95.789 ms | 0 - 898 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 88.938 ms | 0 - 3 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 2057.646 ms | 0 - 11 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 56.546 ms | 1 - 13 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 152.469 ms | 0 - 10 MB | NPU
+| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 39.323 ms | 0 - 8 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 96.293 ms | 0 - 0 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 69.688 ms | 0 - 7 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 95.825 ms | 0 - 2 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 90.588 ms | 0 - 7 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 89.813 ms | 0 - 2 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 2236.027 ms | 0 - 6 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 53.213 ms | 0 - 13 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 178.363 ms | 0 - 6 MB | NPU
+| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 39.59 ms | 0 - 9 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 217.654 ms | 58 - 58 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 162.419 ms | 3 - 11 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 218.196 ms | 5 - 70 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 206.367 ms | 4 - 6 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 5361.104 ms | 0 - 7 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 145.886 ms | 4 - 15 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 446.615 ms | 3 - 10 MB | NPU
+| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 89.465 ms | 3 - 14 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 264.139 ms | 0 - 0 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 201.927 ms | 0 - 7 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 266.775 ms | 0 - 2 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 1136.127 ms | 0 - 9 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 249.481 ms | 0 - 3 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 6292.624 ms | 0 - 6 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 178.324 ms | 0 - 9 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 511.921 ms | 1 - 7 MB | NPU
+| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 118.903 ms | 0 - 10 MB | NPU
 
 ## License
 * The license for the original implementation of Stable-Diffusion-v2.1 can be found
   [here](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE).
 
-
-
 ## References
 * [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752)
 * [Source Model Implementation](https://github.com/CompVis/stable-diffusion/tree/main)
 
-
-
 ## Community
 * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
 
-
+## Usage and Limitations
+
+This model may not be used for or in connection with any of the following applications:
+
+- Accessing essential private and public services and benefits;
+- Administration of justice and democratic processes;
+- Assessing or recognizing the emotional state of a person;
+- Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
+- Education and vocational training;
+- Employment and workers management;
+- Exploitation of the vulnerabilities of persons resulting in harmful behavior;
+- General purpose social scoring;
+- Law enforcement;
+- Management and operation of critical infrastructure;
+- Migration, asylum and border control management;
+- Predictive policing;
+- Real-time remote biometric identification in public spaces;
+- Recommender systems of social media platforms;
+- Scraping of facial images (from the internet or otherwise); and/or
+- Subliminal manipulation

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