Apply blur effects to images. Trigger: Use when the user wants to blur an image, or requests 'blur image', 'gaussian blur', 'soften image', or 'post processing blur'.
Scanned 9/8/2026
Install to Claude Code
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---
name: "Post Processing Blur"
description: "Apply blur effects to images. Trigger: Use when the user wants to blur an image, or requests 'blur image', 'gaussian blur', 'soften image', or 'post processing blur'."
allowed-tools: ["Bash"]
---
# Post Processing | Blur
Apply blur effects to images using Gaussian or Kuwahara blur modes. Adjustable radius and sigma for fine control.
## Quick Start
```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "post-processing-blur",
"version": "0.0.1",
"input": {
"image_url": "https://example.com/photo.jpg",
"blur_type": "gaussian",
"blur_radius": 3,
"blur_sigma": 1
}
}'
```
## Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `blur_radius` | integer | `3` | Blur radius |
| `blur_sigma` | number | `1` | Sigma for Gaussian blur |
| `blur_type` | string | `gaussian` | Blur type. Options: `gaussian`, `kuwahara` |
| `image_url` | string | (empty) | URL of image to process |
## Output
- **Type:** image
## Examples
### Soft Gaussian Blur
```json
{
"model": "post-processing-blur",
"version": "0.0.1",
"input": {
"image_url": "https://example.com/background.jpg",
"blur_type": "gaussian",
"blur_radius": 5,
"blur_sigma": 2
}
}
```
### Kuwahara Painterly Effect
```json
{
"model": "post-processing-blur",
"version": "0.0.1",
"input": {
"image_url": "https://example.com/landscape.jpg",
"blur_type": "kuwahara",
"blur_radius": 4
}
}
```
## Related Models
- [Post Processing Combine](../post-processing/SKILL.md) - Apply multiple effects at once
- [Post Processing Sharpen](../post-processing-sharpen/SKILL.md) - Sharpen images
- [Post Processing Chromatic Aberration](../post-processing-chromatic-aberration/SKILL.md) - Chromatic effects
## Documentation
- [EachLabs API Docs](https://docs.eachlabs.ai)
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