AXERA-TECH/Real-ESRGAN.axera

Real-ESRGAN

This version of Real-ESRGAN has been converted to run on the Axera NPU using w8a8 quantization.

This model has been optimized with the following LoRA:

Compatible with Pulsar2 version: 4.2

Convert tools links:

For those who are interested in model conversion, you can try to export axmodel through

• The repo of AXera Platform, which you can get the detail of guide

• Pulsar2 Link, How to Convert ONNX to axmodel

Support Platform

• AX650
  • M4N-Dock(爱芯派Pro)
  • M.2 Accelerator card
• AX630C
  • 爱芯派2
  • Module-LLM
  • LLM630 Compute Kit

Chips	model	cost
AX650	realesrgan-x2	15.6 ms
AX650	realesrgan-x4	62.1 ms

How to use

Download all files from this repository to the device

root@ax650:~/realesrgan# tree
.
|-- model
|   `-- realesrgan-x2.axmodel
|   `-- realesrgan-x4.axmodel
|`-- run_onnx.py
|`-- run_axmodel.py
|`-- build_config.json
|`-- requirements.txt

Inference

Input Data:
|-- pics
|   `-- 00003.png  
|   `-- 00017_gray.png  
|   `-- 0014.jpg  
|   `-- 0030.jpg  
|   `-- ADE_val_00000114.jpg  
|   `-- OST_009.png  
|   `-- children-alpha.png  
|   `-- tree_alpha_16bit.png  
|   `-- wolf_gray.jpg

Inference with AX650 Host, such as M4N-Dock(爱芯派Pro)

gradio ui

$python3 gradio_demo.py
[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: 4.2-dirty 5e72cf06-dirty
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
* Running on local URL:  http://0.0.0.0:7860
* To create a public link, set `share=True` in `launch()`.

Then use the M.2 Accelerator card IP instead of the 0.0.0.0, and use chrome open the URL: http://[your ip]:7860

run image

root@ax650 ~/realesrgan #python3 run_axmodel.py --input ./pics --outscale 2 --model_path ./realesrgan-x2.axmodel
[INFO] Available providers:  ['AxEngineExecutionProvider']
Testing 0 00003
[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: 4.2-dirty 5e72cf06-dirty
Testing 1 00017_gray
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 2 0014
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 3 0030
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 4 ADE_val_00000114
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 5 OST_009
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 6 children-alpha
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 7 tree_alpha_16bit
        Input is a 16-bit image
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty
Testing 8 wolf_gray
[INFO] Using provider: AxEngineExecutionProvider
[INFO] Model type: 2 (triple core)
[INFO] Compiler version: 4.2-dirty 5e72cf06-dirty

Output: