DDColor: Optimized for Qualcomm Devices

DDColor is a coloring algorithm that produces natural, vivid color results from incoming black and white images.

This is based on the implementation of DDColor 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	w8a16	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
TFLITE	w8a8	Universal	QAIRT 2.43, TFLite 2.19.1	Download

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

Model Details

Model Type: Model_use_case.image_editing

Model Stats:

• Model checkpoint: ddcolor_paper_tiny.pth
• Input resolution: 224x224
• Number of parameters: 56.3M
• Model size (float): 215 MB
• Model size (w8a8): 54.8 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
DDColor	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	1773.576 ms	19 - 4589 MB	NPU
DDColor	ONNX	w8a16	Snapdragon® X2 Elite	1798.539 ms	165 - 165 MB	NPU
DDColor	ONNX	w8a16	Snapdragon® X Elite	3785.722 ms	164 - 164 MB	NPU
DDColor	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	2957.561 ms	37 - 5147 MB	NPU
DDColor	ONNX	w8a16	Qualcomm® QCS6490	1809.322 ms	307 - 313 MB	CPU
DDColor	ONNX	w8a16	Qualcomm® QCS9075	5546.288 ms	36 - 39 MB	NPU
DDColor	ONNX	w8a16	Qualcomm® QCM6690	952.625 ms	277 - 296 MB	CPU
DDColor	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	2391.974 ms	37 - 4671 MB	NPU
DDColor	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	908.979 ms	421 - 441 MB	CPU
DDColor	ONNX	w8a8	Snapdragon® X2 Elite	1765.523 ms	208 - 208 MB	NPU
DDColor	ONNX	w8a8	Snapdragon® X Elite	3145.372 ms	207 - 207 MB	NPU
DDColor	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	936.536 ms	0 - 542 MB	NPU
DDColor	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	1210.022 ms	0 - 616 MB	NPU
DDColor	TFLITE	w8a8	Qualcomm® QCS6490	705.505 ms	94 - 239 MB	CPU
DDColor	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	3059.132 ms	1 - 518 MB	NPU
DDColor	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	1730.399 ms	0 - 4 MB	NPU
DDColor	TFLITE	w8a8	Qualcomm® SA8775P	1729.61 ms	0 - 451 MB	NPU
DDColor	TFLITE	w8a8	Qualcomm® QCS9075	1600.906 ms	0 - 61 MB	NPU
DDColor	TFLITE	w8a8	Qualcomm® QCM6690	1682.182 ms	9 - 354 MB	CPU
DDColor	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	2113.256 ms	0 - 662 MB	NPU
DDColor	TFLITE	w8a8	Qualcomm® SA7255P	3059.132 ms	1 - 518 MB	NPU
DDColor	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	938.973 ms	0 - 510 MB	NPU
DDColor	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	465.144 ms	95 - 406 MB	CPU

License

• The license for the original implementation of DDColor can be found here.

References

• DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
• 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.