Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Image Utils by Bria.ai
Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization...
skill openclawclawhub Free
Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization...
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- Download the package from Yavira.
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Package facts
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- Yavira redirect
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- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/code-examples/image_utils.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
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- Indexed source record
- Version
- 1.2.3
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- galbria
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Documentation
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 โ JPEG โ 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
OperationMethodDescriptionLoadingload(source)Load from URL, path, bytes, or base64load_from_url(url)Download image from URLSavingsave(image, path)Save with format auto-detectionto_bytes(image, format)Convert to bytesto_base64(image, format)Convert to base64 stringResizingresize(image, width, height)Resize to exact dimensionsscale(image, factor)Scale by factor (0.5 = half)thumbnail(image, size)Fit within size, maintain aspectCroppingcrop(image, left, top, right, bottom)Crop to regioncrop_center(image, width, height)Crop from centercrop_to_aspect(image, ratio)Crop to aspect ratioCompositingpaste(bg, fg, position)Overlay at coordinatescomposite(bg, fg, mask)Alpha compositefit_to_canvas(image, w, h)Fit onto canvas sizeBordersadd_border(image, width, color)Add solid borderadd_padding(image, padding)Add whitespace paddingTransformsrotate(image, angle)Rotate by degreesflip_horizontal(image)Mirror horizontallyflip_vertical(image)Flip verticallyWatermarksadd_text_watermark(image, text)Add text overlayadd_image_watermark(image, logo)Add logo watermarkAdjustmentsadjust_brightness(image, factor)Lighten/darkenadjust_contrast(image, factor)Adjust contrastadjust_saturation(image, factor)Adjust color saturationblur(image, radius)Apply Gaussian blurWeboptimize_for_web(image, max_size)Optimize for deliveryInfoget_info(image)Get dimensions, format, mode
Requirements
pip install Pillow requests
Basic Usage
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
# 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
# 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
# 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
# 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
# Text watermark watermarked = ImageUtils.add_text_watermark( image, text="ยฉ 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
# 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
# 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
# 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
# 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: 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(): ImageUtils.save(img, f"product_{name}.webp", quality=85)
Batch Processing Example
from pathlib import Path from image_utils import ImageUtils def process_catalog(input_dir, output_dir): """Process all images in a directory.""" output_path = Path(output_dir) output_path.mkdir(exist_ok=True) for image_file in Path(input_dir).glob("*.{jpg,png,webp}"): image = ImageUtils.load(image_file) # Crop to square square = ImageUtils.crop_to_aspect(image, "1:1") # Resize to standard size resized = ImageUtils.resize(square, width=800, height=800) # Add watermark final = ImageUtils.add_text_watermark(resized, "ยฉ My Brand") # Save optimized output_file = output_path / f"{image_file.stem}.webp" ImageUtils.save(final, output_file, quality=85) process_catalog("./raw_images", "./processed")
API Reference
See image_utils.py for complete implementation with docstrings.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- references/code-examples/image_utils.py