Stable-Diffusion-v1.5: 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-v1.5 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® X2 Elite | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Mobile | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | QAIRT 2.45, ONNX Runtime 1.25.0 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | QAIRT 2.45, ONNX Runtime 1.25.0 | 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 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 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-v1.5 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-v1.5 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® X2 Elite | 1.521 ms | 1 - 1 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 3.433 ms | 156 - 156 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.304 ms | 0 - 10 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 3.248 ms | 0 - 2 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 3.685 ms | 0 - 6 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.545 ms | 0 - 11 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 22.068 ms | 0 - 10 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 3.331 ms | 0 - 3 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 1.752 ms | 0 - 11 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS7790 | 3.685 ms | 0 - 6 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8750 | 1.752 ms | 0 - 11 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS7181 | 3.433 ms | 156 - 156 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 1.745 ms | 0 - 0 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 3.64 ms | 0 - 0 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.318 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 | 7.486 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 3.264 ms | 0 - 2 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 3.688 ms | 0 - 6 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.539 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 7.486 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 22.866 ms | 0 - 6 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 3.333 ms | 0 - 2 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Mobile | 1.749 ms | 0 - 9 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS7790 | 3.688 ms | 0 - 6 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8750 | 1.749 ms | 0 - 9 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS7181 | 3.64 ms | 0 - 0 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 46.57 ms | 1 - 1 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 113.636 ms | 843 - 843 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 81.32 ms | 0 - 12 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 113.433 ms | 0 - 898 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 178.634 ms | 0 - 10 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 46.977 ms | 0 - 13 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 2245.891 ms | 1 - 11 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 105.555 ms | 0 - 3 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 61.769 ms | 0 - 12 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS7790 | 178.634 ms | 0 - 10 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8750 | 61.769 ms | 0 - 12 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS7181 | 113.636 ms | 843 - 843 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 46.568 ms | 0 - 0 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 113.76 ms | 0 - 0 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 80.593 ms | 0 - 6 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 | 262.713 ms | 0 - 8 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 112.998 ms | 0 - 1 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 178.359 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 45.679 ms | 0 - 8 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 262.713 ms | 0 - 8 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 2151.162 ms | 1 - 11 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 104.849 ms | 0 - 2 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Mobile | 59.665 ms | 1 - 10 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS7790 | 178.359 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8750 | 59.665 ms | 1 - 10 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS7181 | 113.76 ms | 0 - 0 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 126.912 ms | 4 - 4 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 257.176 ms | 62 - 62 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 196.928 ms | 4 - 10 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 259.41 ms | 0 - 66 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 505.27 ms | 2 - 8 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 118.953 ms | 3 - 11 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 6253.19 ms | 3 - 9 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 240.451 ms | 3 - 6 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 172.664 ms | 4 - 15 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS7790 | 505.27 ms | 2 - 8 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8750 | 172.664 ms | 4 - 15 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS7181 | 257.176 ms | 62 - 62 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 126.853 ms | 0 - 0 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 257.363 ms | 0 - 0 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 197.044 ms | 3 - 10 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 | 711.368 ms | 0 - 8 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 259.616 ms | 1 - 2 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 505.142 ms | 1 - 7 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 118.896 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 711.368 ms | 0 - 8 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 5862.666 ms | 2 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 240.993 ms | 0 - 3 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Mobile | 171.39 ms | 1 - 10 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS7790 | 505.142 ms | 1 - 7 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8750 | 171.39 ms | 1 - 10 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS7181 | 257.363 ms | 0 - 0 MB | NPU |
License
- The license for the original implementation of Stable-Diffusion-v1.5 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
