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---
pipeline_tag: image-to-image
---
# DeOldify
This version of DeOldify has been converted to run on the Axera NPU using **w8a16** quantization.
This model has been optimized with the following LoRA:
Compatible with Pulsar2 version: 5.0-patch1
## Convert tools links:
For those who are interested in model conversion, you can try to export axmodel through
- [The repo of AXera Platform](https://github.com/AXERA-TECH/ax-samples), which you can get the detail of guide
- [Pulsar2 Link, How to Convert ONNX to axmodel](https://pulsar2-docs.readthedocs.io/en/latest/pulsar2/introduction.html)
## Support Platform
- AX650
- [M4N-Dock(爱芯派Pro)](https://wiki.sipeed.com/hardware/zh/maixIV/m4ndock/m4ndock.html)
- [M.2 Accelerator card](https://axcl-docs.readthedocs.io/zh-cn/latest/doc_guide_hardware.html)
|Chips|model|cost|
|--|--|--|
|AX650|colorize_stable|377 ms|
## How to use
Download all files from this repository to the device
```
root@ax650:~/deoldify# tree
.
|-- model
| `-- colorize_stable.axmodel
|-- python
|`-- run_axmodel.py
|`-- requirements.txt
```
### Inference
Input Data:
```
|-- image
| `-- 1850Geography.jpg
```
#### Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)
```
root@ax650 ~/realesrgan #python3 run_axmodel.py --input_path image/1850Geography.jpg --model_path colorize_stable.axmodel
[INFO] Available providers: ['AxEngineExecutionProvider']
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Chip type: ChipType.MC50
[INFO] VNPU type: VNPUType.DISABLED
[INFO] Engine version: 2.12.0s
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 5.0-patch1 2295293f
Color image save to `./sr_colorized.jpg`
```
Output:
 |