AOT-GAN: Optimized for Qualcomm Devices

AOT-GAN is a machine learning model that allows to erase and in-paint part of given input image.

This is based on the implementation of AOT-GAN 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.

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
ONNX	float	Universal	QAIRT 2.45, ONNX Runtime 1.27.1	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit AOT-GAN 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 AOT-GAN on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_editing

Model Stats:

• Model checkpoint: CelebAHQ
• Input resolution: 512x512
• Number of parameters: 15.2M
• Model size (float): 58.0 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
AOT-GAN	ONNX	float	Snapdragon® X2 Elite	54.827 ms	8 - 8 MB	NPU
AOT-GAN	ONNX	float	Snapdragon® X Elite	138.511 ms	32 - 32 MB	NPU
AOT-GAN	ONNX	float	Snapdragon® 8 Gen 3 Mobile	96.111 ms	0 - 708 MB	NPU
AOT-GAN	ONNX	float	Snapdragon® 8 Gen 1 Mobile	208.859 ms	11 - 614 MB	NPU
AOT-GAN	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	134.616 ms	0 - 39 MB	NPU
AOT-GAN	ONNX	float	Qualcomm® QCS8450	208.859 ms	11 - 614 MB	NPU
AOT-GAN	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	167.44 ms	4 - 11 MB	NPU
AOT-GAN	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	138.511 ms	32 - 32 MB	NPU
AOT-GAN	ONNX	float	Qualcomm® Dragonwing™ Q-8750	75.372 ms	8 - 617 MB	NPU
AOT-GAN	ONNX	float	Snapdragon® 8 Elite Mobile	75.372 ms	8 - 617 MB	NPU
AOT-GAN	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	51.051 ms	5 - 508 MB	NPU
AOT-GAN	QNN_DLC	float	Snapdragon® X2 Elite	50.961 ms	4 - 4 MB	NPU
AOT-GAN	QNN_DLC	float	Snapdragon® X Elite	122.244 ms	4 - 4 MB	NPU
AOT-GAN	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	88.438 ms	1 - 692 MB	NPU
AOT-GAN	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	200.081 ms	3 - 605 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	540.929 ms	1 - 544 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	122.345 ms	4 - 6 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® SA8775P	161.29 ms	1 - 544 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® SA8650P	161.29 ms	1 - 544 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® SA8255P	161.29 ms	1 - 544 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® QCS8450	200.081 ms	3 - 605 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	160.813 ms	5 - 14 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	122.244 ms	4 - 4 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	69.464 ms	1 - 572 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® SA7255P	540.929 ms	1 - 544 MB	NPU
AOT-GAN	QNN_DLC	float	Qualcomm® SA8295P	178.691 ms	1 - 476 MB	NPU
AOT-GAN	QNN_DLC	float	Snapdragon® 8 Elite Mobile	69.464 ms	1 - 572 MB	NPU
AOT-GAN	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	46.924 ms	3 - 490 MB	NPU
AOT-GAN	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	88.282 ms	0 - 715 MB	NPU
AOT-GAN	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	198.292 ms	4 - 639 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	541.182 ms	3 - 558 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	119.917 ms	3 - 13 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® SA8775P	161.473 ms	3 - 557 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® SA8650P	161.473 ms	3 - 557 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® SA8255P	161.473 ms	3 - 557 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® QCS8450	198.292 ms	4 - 639 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	161.187 ms	3 - 48 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	69.199 ms	2 - 590 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® SA7255P	541.182 ms	3 - 558 MB	NPU
AOT-GAN	TFLITE	float	Qualcomm® SA8295P	178.613 ms	3 - 494 MB	NPU
AOT-GAN	TFLITE	float	Snapdragon® 8 Elite Mobile	69.199 ms	2 - 590 MB	NPU
AOT-GAN	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	47.276 ms	2 - 512 MB	NPU

License

• The license for the original implementation of AOT-GAN can be found here.

References

• Aggregated Contextual Transformations for High-Resolution Image Inpainting
• Source Model Implementation

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.