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 is based on the implementation of Stable-Diffusion-v2.1 found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Deploy to Snapdragon X Elite NPU
Please follow the Stable Diffusion Windows App tutorial to quantize model with custom weights.
Quantize and Deploy Your Own Fine-Tuned Stable Diffusion
Please follow the Quantize Stable Diffusion tutorial to quantize model with custom weights.
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® 8 Elite Gen 5 Mobile | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | QAIRT 2.45 | Download |
For more device-specific assets and performance metrics, visit Stable-Diffusion-v2.1 on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models 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 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® 8 Elite Gen 5 Mobile | 4.625 ms | 0 - 10 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 3.282 ms | 417 - 417 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 7.722 ms | 418 - 418 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.972 ms | 1 - 11 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 7.968 ms | 0 - 450 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 7.396 ms | 0 - 3 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 68.77 ms | 0 - 10 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.065 ms | 0 - 12 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 12.059 ms | 0 - 10 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.831 ms | 0 - 10 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 4.187 ms | 0 - 0 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 7.843 ms | 0 - 0 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.821 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 17.365 ms | 0 - 7 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.075 ms | 0 - 2 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 8.338 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 8.057 ms | 2 - 4 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 68.812 ms | 0 - 6 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 17.365 ms | 0 - 7 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.933 ms | 0 - 9 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 12.117 ms | 0 - 6 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 70.359 ms | 0 - 8 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 66.133 ms | 843 - 843 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 157.72 ms | 842 - 842 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 111.382 ms | 0 - 12 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 153.43 ms | 0 - 898 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 149.144 ms | 0 - 3 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 2350.728 ms | 0 - 11 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 101.214 ms | 1 - 12 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 217.21 ms | 0 - 11 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 64.774 ms | 0 - 9 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 68.04 ms | 0 - 0 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 157.543 ms | 0 - 0 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 110.096 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 345.961 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 152.579 ms | 0 - 3 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 147.813 ms | 0 - 8 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 146.877 ms | 0 - 2 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 2404.858 ms | 1 - 10 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 345.961 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 98.46 ms | 0 - 9 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 210.948 ms | 0 - 7 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 136.058 ms | 3 - 13 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 144.455 ms | 63 - 63 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 260.328 ms | 64 - 64 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 198.464 ms | 3 - 10 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 262.159 ms | 0 - 66 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 246.802 ms | 4 - 6 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 6282.127 ms | 23 - 29 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 172.732 ms | 3 - 15 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 507.588 ms | 2 - 8 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 121.204 ms | 0 - 10 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 228.427 ms | 0 - 0 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 257.579 ms | 0 - 0 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 195.85 ms | 0 - 8 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 713.024 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 260.197 ms | 1 - 2 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 244.482 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 242.073 ms | 2 - 5 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 6269.035 ms | 0 - 7 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 713.024 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 159.535 ms | 0 - 13 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 504.565 ms | 1 - 7 MB | NPU |
License
- The license for the original implementation of Stable-Diffusion-v2.1 can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
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
