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 ---
library_name: pytorch
license: other
tags:
- android
pipeline_tag: image-to-image
---
![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/web-assets/model_demo.png)
# DDColor: Optimized for Mobile Deployment
## Colorize image from the black-and-white image
DDColor is a coloring algorithm that produces natural, vivid color results from incoming black and white images.
This model is an implementation of DDColor found [here](https://github.com/piddnad/DDColor/).
This repository provides scripts to run DDColor on Qualcomm® devices.
More details on model performance across various devices, can be found
[here](https://aihub.qualcomm.com/models/ddcolor).
### 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
| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
|---|---|---|---|---|---|---|---|---|
| DDColor | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 249.068 ms | 0 - 332 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 1989.568 ms | 0 - 720 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 169.0 ms | 1 - 262 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 1235.43 ms | 1 - 253 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 158.008 ms | 0 - 34 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 1124.836 ms | 0 - 46 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 1127.711 ms | 0 - 167 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.onnx.zip) |
| DDColor | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 161.863 ms | 1 - 347 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 1112.75 ms | 1 - 661 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 249.068 ms | 0 - 332 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 1989.568 ms | 0 - 720 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 159.856 ms | 0 - 34 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 1127.688 ms | 0 - 45 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 176.33 ms | 0 - 239 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 1229.554 ms | 0 - 394 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 159.691 ms | 0 - 35 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 1120.366 ms | 0 - 48 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 161.863 ms | 1 - 347 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 1112.75 ms | 1 - 661 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 112.938 ms | 1 - 356 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 839.748 ms | 0 - 837 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 846.043 ms | 1 - 952 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.onnx.zip) |
| DDColor | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 95.693 ms | 1 - 309 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 839.94 ms | 1 - 433 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 859.57 ms | 1 - 565 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.onnx.zip) |
| DDColor | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 76.207 ms | 0 - 325 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.tflite) |
| DDColor | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 700.968 ms | 0 - 608 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 690.838 ms | 1 - 673 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.onnx.zip) |
| DDColor | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 1179.236 ms | 81 - 81 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.dlc) |
| DDColor | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1157.963 ms | 113 - 113 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor.onnx.zip) |
| DDColor | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 3336.441 ms | 0 - 362 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN_DLC | 5187.205 ms | 0 - 392 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 1772.082 ms | 0 - 395 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN_DLC | 2974.197 ms | 1 - 290 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 1760.119 ms | 0 - 53 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN_DLC | 2717.716 ms | 3 - 65 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 1784.176 ms | 0 - 362 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 2832.254 ms | 0 - 397 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | TFLITE | 614.783 ms | 86 - 116 MB | CPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | ONNX | 647.012 ms | 328 - 355 MB | CPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.onnx.zip) |
| DDColor | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | TFLITE | 817.267 ms | 63 - 104 MB | CPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | RB5 (Proxy) | Qualcomm® QCS8250 (Proxy) | ONNX | 526.175 ms | 325 - 349 MB | CPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.onnx.zip) |
| DDColor | w8a8 | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 3336.441 ms | 0 - 362 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | SA7255P ADP | Qualcomm® SA7255P | QNN_DLC | 5187.205 ms | 0 - 392 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 1761.455 ms | 0 - 47 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | QNN_DLC | 2717.403 ms | 0 - 64 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 2019.923 ms | 0 - 370 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | SA8295P ADP | Qualcomm® SA8295P | QNN_DLC | 3156.066 ms | 0 - 286 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 1762.868 ms | 0 - 24 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | QNN_DLC | 2716.067 ms | 0 - 66 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 1784.176 ms | 0 - 362 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | SA8775P ADP | Qualcomm® SA8775P | QNN_DLC | 2832.254 ms | 0 - 397 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1337.685 ms | 0 - 381 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 2046.081 ms | 0 - 440 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 1048.701 ms | 0 - 106 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | QNN_DLC | 1786.258 ms | 0 - 285 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 1947.273 ms | 47 - 256 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.onnx.zip) |
| DDColor | w8a8 | Snapdragon 7 Gen 5 QRD | Snapdragon® 7 Gen 5 Mobile | TFLITE | 471.997 ms | 103 - 353 MB | CPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | Snapdragon 7 Gen 5 QRD | Snapdragon® 7 Gen 5 Mobile | ONNX | 553.771 ms | 302 - 324 MB | CPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.onnx.zip) |
| DDColor | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 925.38 ms | 0 - 111 MB | NPU | [DDColor.tflite](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.tflite) |
| DDColor | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | QNN_DLC | 1500.827 ms | 0 - 423 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 1608.329 ms | 38 - 290 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.onnx.zip) |
| DDColor | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 2827.194 ms | 175 - 175 MB | NPU | [DDColor.dlc](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.dlc) |
| DDColor | w8a8 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3266.117 ms | 69 - 69 MB | NPU | [DDColor.onnx.zip](https://huggingface.co/qualcomm/DDColor/blob/main/DDColor_w8a8.onnx.zip) |
## Installation
Install the package via pip:
```bash
pip install "qai-hub-models[ddcolor]"
```
## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
With this API token, you can configure your client to run models on the cloud
hosted devices.
```bash
qai-hub configure --api_token API_TOKEN
```
Navigate to [docs](https://app.aihub.qualcomm.com/docs/) for more information.
## Demo off target
The package contains a simple end-to-end demo that downloads pre-trained
weights and runs this model on a sample input.
```bash
python -m qai_hub_models.models.ddcolor.demo
```
The above demo runs a reference implementation of pre-processing, model
inference, and post processing.
**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
environment, please add the following to your cell (instead of the above).
```
%run -m qai_hub_models.models.ddcolor.demo
```
### Run model on a cloud-hosted device
In addition to the demo, you can also run the model on a cloud-hosted Qualcomm®
device. This script does the following:
* Performance check on-device on a cloud-hosted device
* Downloads compiled assets that can be deployed on-device for Android.
* Accuracy check between PyTorch and on-device outputs.
```bash
python -m qai_hub_models.models.ddcolor.export
```
## How does this work?
This [export script](https://aihub.qualcomm.com/models/ddcolor/qai_hub_models/models/DDColor/export.py)
leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
on-device. Lets go through each step below in detail:
Step 1: **Compile model for on-device deployment**
To compile a PyTorch model for on-device deployment, we first trace the model
in memory using the `jit.trace` and then call the `submit_compile_job` API.
```python
import torch
import qai_hub as hub
from qai_hub_models.models.ddcolor import Model
# Load the model
torch_model = Model.from_pretrained()
# Device
device = hub.Device("Samsung Galaxy S25")
# Trace model
input_shape = torch_model.get_input_spec()
sample_inputs = torch_model.sample_inputs()
pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
# Compile model on a specific device
compile_job = hub.submit_compile_job(
model=pt_model,
device=device,
input_specs=torch_model.get_input_spec(),
)
# Get target model to run on-device
target_model = compile_job.get_target_model()
```
Step 2: **Performance profiling on cloud-hosted device**
After compiling models from step 1. Models can be profiled model on-device using the
`target_model`. Note that this scripts runs the model on a device automatically
provisioned in the cloud. Once the job is submitted, you can navigate to a
provided job URL to view a variety of on-device performance metrics.
```python
profile_job = hub.submit_profile_job(
model=target_model,
device=device,
)
```
Step 3: **Verify on-device accuracy**
To verify the accuracy of the model on-device, you can run on-device inference
on sample input data on the same cloud hosted device.
```python
input_data = torch_model.sample_inputs()
inference_job = hub.submit_inference_job(
model=target_model,
device=device,
inputs=input_data,
)
on_device_output = inference_job.download_output_data()
```
With the output of the model, you can compute like PSNR, relative errors or
spot check the output with expected output.
**Note**: This on-device profiling and inference requires access to Qualcomm®
AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
## Run demo on a cloud-hosted device
You can also run the demo on-device.
```bash
python -m qai_hub_models.models.ddcolor.demo --eval-mode on-device
```
**NOTE**: If you want running in a Jupyter Notebook or Google Colab like
environment, please add the following to your cell (instead of the above).
```
%run -m qai_hub_models.models.ddcolor.demo -- --eval-mode on-device
```
## Deploying compiled model to Android
The models can be deployed using multiple runtimes:
- TensorFlow Lite (`.tflite` export): [This
tutorial](https://www.tensorflow.org/lite/android/quickstart) provides a
guide to deploy the .tflite model in an Android application.
- QNN (`.so` export ): This [sample
app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
provides instructions on how to use the `.so` shared library in an Android application.
## View on Qualcomm® AI Hub
Get more details on DDColor's performance across various devices [here](https://aihub.qualcomm.com/models/ddcolor).
Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
## License
* The license for the original implementation of DDColor can be found
[here](https://github.com/piddnad/DDColor/blob/master/LICENSE).
* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
## References
* [DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders](https://arxiv.org/abs/2201.03545)
* [Source Model Implementation](https://github.com/piddnad/DDColor/)
## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:[email protected]).