LaMa-Dilated: Optimized for Qualcomm Devices

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

This is based on the implementation of LaMa-Dilated 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 1.25.0	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 LaMa-Dilated 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 LaMa-Dilated on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_editing

Model Stats:

• Model checkpoint: Dilated CelebAHQ
• Input resolution: 512x512
• Number of parameters: 45.6M
• Model size (float): 174 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
LaMa-Dilated	ONNX	float	Snapdragon® X2 Elite	36.099 ms	8 - 8 MB	NPU
LaMa-Dilated	ONNX	float	Snapdragon® X Elite	77.547 ms	90 - 90 MB	NPU
LaMa-Dilated	ONNX	float	Snapdragon® 8 Gen 3 Mobile	54.577 ms	10 - 492 MB	NPU
LaMa-Dilated	ONNX	float	Snapdragon® 8 Gen 1 Mobile	132.969 ms	11 - 537 MB	NPU
LaMa-Dilated	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	76.248 ms	10 - 14 MB	NPU
LaMa-Dilated	ONNX	float	Qualcomm® QCS8450	132.969 ms	11 - 537 MB	NPU
LaMa-Dilated	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	108.916 ms	7 - 14 MB	NPU
LaMa-Dilated	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	34.289 ms	7 - 405 MB	NPU
LaMa-Dilated	ONNX	float	Snapdragon® 8 Elite Mobile	43.584 ms	8 - 438 MB	NPU
LaMa-Dilated	ONNX	float	Qualcomm® Dragonwing™ Q-8750	43.584 ms	8 - 438 MB	NPU
LaMa-Dilated	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	77.547 ms	90 - 90 MB	NPU
LaMa-Dilated	QNN_DLC	float	Snapdragon® X2 Elite	34.356 ms	4 - 4 MB	NPU
LaMa-Dilated	QNN_DLC	float	Snapdragon® X Elite	75.448 ms	4 - 4 MB	NPU
LaMa-Dilated	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	52.279 ms	0 - 452 MB	NPU
LaMa-Dilated	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	133.389 ms	4 - 409 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® QCS8275	403.055 ms	1 - 364 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	75.257 ms	4 - 539 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® SA8775P	106.986 ms	1 - 364 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® SA8650P	106.986 ms	1 - 364 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® SA8255P	106.986 ms	1 - 364 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® QCS8450	133.389 ms	4 - 409 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	106.249 ms	5 - 13 MB	NPU
LaMa-Dilated	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	32.398 ms	1 - 394 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® SA7255P	403.055 ms	1 - 364 MB	NPU
LaMa-Dilated	QNN_DLC	float	Snapdragon® 8 Elite Mobile	40.455 ms	1 - 366 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® SA8295P	109.482 ms	1 - 299 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	40.455 ms	1 - 366 MB	NPU
LaMa-Dilated	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	75.448 ms	4 - 4 MB	NPU
LaMa-Dilated	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	52.661 ms	1 - 537 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® QCS8275	404.446 ms	3 - 382 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	74.497 ms	3 - 133 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® SA8775P	106.511 ms	3 - 380 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® SA8650P	106.511 ms	3 - 380 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® SA8255P	106.511 ms	3 - 380 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	105.783 ms	2 - 104 MB	NPU
LaMa-Dilated	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	32.458 ms	3 - 416 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® SA7255P	404.446 ms	3 - 382 MB	NPU
LaMa-Dilated	TFLITE	float	Snapdragon® 8 Elite Mobile	40.263 ms	0 - 387 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® SA8295P	110.176 ms	3 - 311 MB	NPU
LaMa-Dilated	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	40.263 ms	0 - 387 MB	NPU

License

• The license for the original implementation of LaMa-Dilated can be found here.

References

• Resolution-robust Large Mask Inpainting with Fourier Convolutions
• 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.