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

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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Paper for qualcomm/Stable-Diffusion-v1.5