image-utils
Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.
安装 / 下载方式
TotalClaw CLI推荐
totalclaw install clawskills:clawskills~galbria-image-utilscURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/clawskills%3Aclawskills~galbria-image-utils/file -o galbria-image-utils.md# Image Utilities
Pillow-based utilities for deterministic pixel-level image operations. Use for resize, crop, composite, format conversion, watermarks, and other standard image processing tasks.
## When to Use This Skill
- **Post-processing AI-generated images**: Resize, crop, optimize for web after generation
- **Format conversion**: PNG ↔ JPEG ↔ WEBP with quality control
- **Compositing**: Overlay images, paste subjects onto backgrounds
- **Batch processing**: Resize to multiple sizes, add watermarks
- **Web optimization**: Compress and resize for fast delivery
- **Social media preparation**: Crop to platform-specific aspect ratios
## Quick Reference
| Operation | Method | Description |
|-----------|--------|-------------|
| **Loading** | `load(source)` | Load from URL, path, bytes, or base64 |
| | `load_from_url(url)` | Download image from URL |
| **Saving** | `save(image, path)` | Save with format auto-detection |
| | `to_bytes(image, format)` | Convert to bytes |
| | `to_base64(image, format)` | Convert to base64 string |
| **Resizing** | `resize(image, width, height)` | Resize to exact dimensions |
| | `scale(image, factor)` | Scale by factor (0.5 = half) |
| | `thumbnail(image, size)` | Fit within size, maintain aspect |
| **Cropping** | `crop(image, left, top, right, bottom)` | Crop to region |
| | `crop_center(image, width, height)` | Crop from center |
| | `crop_to_aspect(image, ratio)` | Crop to aspect ratio |
| **Compositing** | `paste(bg, fg, position)` | Overlay at coordinates |
| | `composite(bg, fg, mask)` | Alpha composite |
| | `fit_to_canvas(image, w, h)` | Fit onto canvas size |
| **Borders** | `add_border(image, width, color)` | Add solid border |
| | `add_padding(image, padding)` | Add whitespace padding |
| **Transforms** | `rotate(image, angle)` | Rotate by degrees |
| | `flip_horizontal(image)` | Mirror horizontally |
| | `flip_vertical(image)` | Flip vertically |
| **Watermarks** | `add_text_watermark(image, text)` | Add text overlay |
| | `add_image_watermark(image, logo)` | Add logo watermark |
| **Adjustments** | `adjust_brightness(image, factor)` | Lighten/darken |
| | `adjust_contrast(image, factor)` | Adjust contrast |
| | `adjust_saturation(image, factor)` | Adjust color saturation |
| | `blur(image, radius)` | Apply Gaussian blur |
| **Web** | `optimize_for_web(image, max_size)` | Optimize for delivery |
| **Info** | `get_info(image)` | Get dimensions, format, mode |
## Requirements
```bash
pip install Pillow requests
```
## Basic Usage
```python
from image_utils import ImageUtils
# Load from URL
image = ImageUtils.load_from_url("https://example.com/image.jpg")
# Or load from various sources
image = ImageUtils.load("/path/to/image.png") # File path
image = ImageUtils.load(image_bytes) # Bytes
image = ImageUtils.load("data:image/png;base64,...") # Base64
# Resize and save
resized = ImageUtils.resize(image, width=800, height=600)
ImageUtils.save(resized, "output.webp", quality=90)
# Get image info
info = ImageUtils.get_info(image)
print(f"{info['width']}x{info['height']} {info['mode']}")
```
## Resizing & Scaling
```python
# Resize to exact dimensions
resized = ImageUtils.resize(image, width=800, height=600)
# Resize maintaining aspect ratio (fit within bounds)
fitted = ImageUtils.resize(image, width=800, height=600, maintain_aspect=True)
# Resize by width only (height auto-calculated)
resized = ImageUtils.resize(image, width=800)
# Scale by factor
half = ImageUtils.scale(image, 0.5) # 50% size
double = ImageUtils.scale(image, 2.0) # 200% size
# Create thumbnail
thumb = ImageUtils.thumbnail(image, (150, 150))
```
## Cropping
```python
# Crop to specific region
cropped = ImageUtils.crop(image, left=100, top=50, right=500, bottom=350)
# Crop from center
center = ImageUtils.crop_center(image, width=400, height=400)
# Crop to aspect ratio (for social media)
square = ImageUtils.crop_to_aspect(image, "1:1") # Instagram
wide = ImageUtils.crop_to_aspect(image, "16:9") # YouTube thumbnail
story = ImageUtils.crop_to_aspect(image, "9:16") # Stories/Reels
# Control crop anchor
top_crop = ImageUtils.crop_to_aspect(image, "16:9", anchor="top")
bottom_crop = ImageUtils.crop_to_aspect(image, "16:9", anchor="bottom")
```
## Compositing
```python
# Paste foreground onto background
result = ImageUtils.paste(background, foreground, position=(100, 50))
# Alpha composite (foreground must have transparency)
result = ImageUtils.composite(background, foreground)
# Fit image onto canvas with letterboxing
canvas = ImageUtils.fit_to_canvas(
image,
width=1200,
height=800,
background_color=(255, 255, 255, 255), # White
position="center" # or "top", "bottom"
)
```
## Format Conversion
```python
# Convert to different formats
png_bytes = ImageUtils.to_bytes(image, "PNG")
jpeg_bytes = ImageUtils.to_bytes(image, "JPEG", quality=85)
webp_bytes = ImageUtils.to_bytes(image, "WEBP", quality=90)
# Get base64 for data URLs
base64_str = ImageUtils.to_base64(image, "PNG")
data_url = ImageUtils.to_base64(image, "PNG", include_data_url=True)
# Returns: "data:image/png;base64,..."
# Save with format auto-detected from extension
ImageUtils.save(image, "output.png")
ImageUtils.save(image, "output.jpg", quality=85)
ImageUtils.save(image, "output.webp", quality=90)
```
## Watermarks
```python
# Text watermark
watermarked = ImageUtils.add_text_watermark(
image,
text="© 2024 My Company",
position="bottom-right", # bottom-left, top-right, top-left, center
font_size=24,
color=(255, 255, 255, 128), # Semi-transparent white
margin=20
)
# Logo/image watermark
logo = ImageUtils.load("logo.png")
watermarked = ImageUtils.add_image_watermark(
image,
watermark=logo,
position="bottom-right",
opacity=0.5,
scale=0.15, # 15% of image width
margin=20
)
```
## Adjustments
```python
# Brightness (1.0 = original, <1 darker, >1 lighter)
bright = ImageUtils.adjust_brightness(image, 1.3)
dark = ImageUtils.adjust_brightness(image, 0.7)
# Contrast (1.0 = original)
high_contrast = ImageUtils.adjust_contrast(image, 1.5)
# Saturation (0 = grayscale, 1.0 = original, >1 more vivid)
vivid = ImageUtils.adjust_saturation(image, 1.3)
grayscale = ImageUtils.adjust_saturation(image, 0)
# Sharpness
sharp = ImageUtils.adjust_sharpness(image, 2.0)
# Blur
blurred = ImageUtils.blur(image, radius=5)
```
## Transforms
```python
# Rotate (counter-clockwise, degrees)
rotated = ImageUtils.rotate(image, 45)
rotated = ImageUtils.rotate(image, 90, expand=False) # Don't expand canvas
# Flip
mirrored = ImageUtils.flip_horizontal(image)
flipped = ImageUtils.flip_vertical(image)
```
## Borders & Padding
```python
# Add solid border
bordered = ImageUtils.add_border(image, width=5, color=(0, 0, 0))
# Add padding (whitespace)
padded = ImageUtils.add_padding(image, padding=20) # Uniform
padded = ImageUtils.add_padding(image, padding=(10, 20, 10, 20)) # left, top, right, bottom
```
## Web Optimization
```python
# Optimize for web delivery
optimized_bytes = ImageUtils.optimize_for_web(
image,
max_dimension=1920, # Resize if larger
format="WEBP", # Best compression
quality=85
)
# Save optimized
with open("optimized.webp", "wb") as f:
f.write(optimized_bytes)
```
## Integration with AI Image Generation
Use with Bria AI or other image generation APIs:
```python
from bria_client import BriaClient
from image_utils import ImageUtils
client = BriaClient()
# Generate with AI
result = client.generate("product photo of headphones", aspect_ratio="1:1")
image_url = result['result']['image_url']
# Download and post-process
image = ImageUtils.load_from_url(image_url)
# Create multiple sizes for responsive images
sizes = {
"large": ImageUtils.resize(image, width=1200),
"medium": ImageUtils.resize(image, width=600),
"thumb": ImageUtils.thumbnail(image, (150, 150))
}
# Save all as optimized WebP
for name, img in sizes.items