Wiro - Face Enhancement
AI-generatedOverview
This node integrates with the Wiro API to perform image enhancement using the Real-ESRGAN models. It is designed to upscale and enhance images, optionally improving facial details. Common use cases include improving the quality of low-resolution images, enhancing photos for printing or digital display, and restoring details in old or degraded images.
Use Case Examples
- Enhance a low-resolution photo by providing its URL and selecting a Real-ESRGAN model to upscale it.
- Use face enhancement to improve portrait images by enabling the face enhance option.
- Adjust parameters like outscale, tile size, and denoise strength to optimize the enhancement process for different image types.
Properties
| Name | Meaning |
|---|---|
| Input Image URL | The URL of the image to be enhanced. |
| Model Name | The specific Real-ESRGAN model to use for image enhancement. |
| Outscale | The scale factor for upscaling the image. |
| Face Enhance | Whether to enable face enhancement to improve facial details in the image. |
| Tile | Tile size used during processing to manage memory usage. |
| Tile Pad | Padding size around tiles to reduce edge artifacts during processing. |
| Pre Pad | Pre-padding size applied before processing the image. |
| Denoise Strength | Strength of denoising applied to the image during enhancement. |
Output
JSON
taskid- The unique identifier of the enhancement task.url- The URL of the enhanced image after processing is complete.status- The status of the enhancement task, indicating if it completed successfully or failed.
Dependencies
- Wiro API with API key and secret for authentication
Troubleshooting
- If the node throws an error about missing or invalid task ID or socket access token, verify that the Wiro API credentials are correct and the API is reachable.
- Network issues or incorrect input image URLs may cause the enhancement task to fail or not start properly.
- Ensure the selected model name is valid and supported by the Wiro API.