First-Order-Motion-Model: Optimized for Qualcomm Devices

FOMM is a machine learning model that animates a still image to mirror the movements from a target video.

This is based on the implementation of First-Order-Motion-Model 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

For more device-specific assets and performance metrics, visit First-Order-Motion-Model 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 First-Order-Motion-Model on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.video_generation

Model Stats:

• Model checkpoint: vox-256
• Input resolution: 256x256
• Model size (detector) (float): 54.2 MB
• Model size (generator) (float): 174 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
detector	ONNX	float	Snapdragon® 8 Gen 3 Mobile	3.25 ms	0 - 27 MB	NPU
detector	ONNX	float	Snapdragon® 8 Gen 1 Mobile	7.354 ms	1 - 26 MB	NPU
detector	ONNX	float	Qualcomm® QCS8550 (Proxy)	4.394 ms	0 - 32 MB	NPU
detector	ONNX	float	Qualcomm® QCS8450	7.354 ms	1 - 26 MB	NPU
detector	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	2.743 ms	1 - 21 MB	NPU
detector	ONNX	float	Qualcomm® QCS9075	5.804 ms	1 - 46 MB	NPU
detector	ONNX	float	Snapdragon® 8 Elite Mobile	2.914 ms	0 - 22 MB	NPU
detector	ONNX	float	Qualcomm® QCS8750	2.914 ms	0 - 22 MB	NPU
detector	TFLITE	float	Qualcomm® SA8775P	11.63 ms	1 - 19 MB	GPU
detector	TFLITE	float	Qualcomm® SA8650P	11.63 ms	1 - 19 MB	GPU
detector	TFLITE	float	Qualcomm® SA8255P	11.63 ms	1 - 19 MB	GPU
generator	ONNX	float	Snapdragon® 8 Gen 3 Mobile	16.359 ms	18 - 199 MB	NPU
generator	ONNX	float	Snapdragon® 8 Gen 1 Mobile	37.095 ms	16 - 194 MB	NPU
generator	ONNX	float	Qualcomm® QCS8550 (Proxy)	21.762 ms	18 - 21 MB	NPU
generator	ONNX	float	Qualcomm® QCS8450	37.095 ms	16 - 194 MB	NPU
generator	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	10.96 ms	16 - 182 MB	NPU
generator	ONNX	float	Qualcomm® QCS9075	34.927 ms	18 - 63 MB	NPU
generator	ONNX	float	Snapdragon® 8 Elite Mobile	13.285 ms	16 - 178 MB	NPU
generator	ONNX	float	Qualcomm® QCS8750	13.285 ms	16 - 178 MB	NPU
generator	TFLITE	float	Qualcomm® SA8775P	819.964 ms	21 - 37 MB	CPU
generator	TFLITE	float	Qualcomm® SA8650P	819.964 ms	21 - 37 MB	CPU
generator	TFLITE	float	Qualcomm® SA8255P	819.964 ms	21 - 37 MB	CPU

License

• The license for the original implementation of First-Order-Motion-Model can be found here.

References

• First Order Motion Model for Image Animation
• 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.