library_name: pytorch
license: other
tags:
- generative_ai
- android
pipeline_tag: unconditional-image-generation
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 | 4.599 ms | 0 - 10 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 3.218 ms | 417 - 417 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 7.713 ms | 418 - 418 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.019 ms | 0 - 12 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.04 ms | 0 - 449 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 7.4 ms | 0 - 3 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 82.08 ms | 0 - 11 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.06 ms | 0 - 12 MB | NPU |
| text_encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 12.021 ms | 0 - 10 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.829 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 | 7.841 ms | 0 - 0 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.754 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 17.374 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.134 ms | 1 - 2 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 8.366 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 8.045 ms | 0 - 2 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 82.919 ms | 0 - 6 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 17.374 ms | 0 - 8 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.922 ms | 0 - 9 MB | NPU |
| text_encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 12.124 ms | 1 - 7 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 70.927 ms | 0 - 9 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 66.191 ms | 845 - 845 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 157.732 ms | 842 - 842 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 111.128 ms | 0 - 11 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 153.824 ms | 0 - 897 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 148.423 ms | 0 - 3 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 2412.561 ms | 0 - 11 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 100.957 ms | 0 - 11 MB | NPU |
| unet | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 216.799 ms | 0 - 11 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 64.788 ms | 0 - 9 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 67.595 ms | 0 - 0 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 157.523 ms | 0 - 0 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 109.836 ms | 0 - 8 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 346.003 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 152.738 ms | 0 - 2 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 147.856 ms | 0 - 8 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 147.177 ms | 0 - 2 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 2468.005 ms | 0 - 10 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 346.003 ms | 0 - 7 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 99.957 ms | 0 - 13 MB | NPU |
| unet | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 213.566 ms | 0 - 7 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 132.639 ms | 3 - 13 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 144.688 ms | 63 - 63 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 260.23 ms | 64 - 64 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 200.01 ms | 3 - 10 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 262.127 ms | 0 - 65 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 246.199 ms | 3 - 6 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 6213.647 ms | 0 - 6 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 171.805 ms | 3 - 15 MB | NPU |
| vae | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 507.911 ms | 2 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 123.132 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 128.959 ms | 0 - 0 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 257.612 ms | 0 - 0 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 195.277 ms | 0 - 7 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 713.296 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 260.689 ms | 0 - 2 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 244.5 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 242.058 ms | 0 - 3 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 6119.655 ms | 0 - 7 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 713.296 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 158.943 ms | 0 - 9 MB | NPU |
| vae | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 502.972 ms | 0 - 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
