BoxBox - Complete Image Region Processing Suite

A comprehensive ComfyUI custom nodes package for selecting, cropping, resizing, and reinserting image regions with full metadata tracking.

📋 Overview

BoxBox provides a complete workflow for working with specific image regions:

📦 BoxSelector - Interactive interface to select rectangular regions on images
✂️ BoxCrop - Crop selected regions from original images
📦 BoxResize - Resize cropped regions with preset aspect ratios for AI generation
🎨 BoxReinsert - Reinsert generated images back into original positions

🎯 Available Nodes

1. BoxSelector (📦 BoxSelector)

Interactive interface to select rectangular regions on images.

Input

image (IMAGE): Source image to select from

Output

image (IMAGE): Original image (passthrough)
box_metadata (STRING): JSON with selection coordinates

Features

🖱️ Interactive Selection: Click and drag to draw rectangles
📐 Side Coordinates: Returns x1, x2, y1, y2 (not x, y, width, height)
🔄 Clear Button: Reset selection and start over
📊 Live Coordinates: Shows selection position in real-time

Output JSON Format

{
    "x1": 100,
    "y1": 150,
    "x2": 600,
    "y2": 450,
    "borderWidth": 3,
    "borderPosition": "inside",
    "displayScaleFactor": 1.0,
    "selected": true
}

Advanced Features

📐 Aspect Ratio Locking: Select from preset ratios or draw freely
- Presets: 1:1, 3:4, 5:8, 9:16, 9:21, 4:3, 3:2, 16:9, 21:9
- Custom: Draw freely and get closest standard ratio
🔧 Auto-Scale Large Images: Images > 1024px automatically scaled down for smooth selection
- Scaling factor saved in metadata (displayScaleFactor)
- BoxCrop and BoxReinsert automatically correct coordinates

2. BoxCrop (✂️ BoxCrop)

Crops images according to coordinates provided by BoxSelector.

Input

image (IMAGE): Image to crop
box_metadata (STRING): JSON coordinates from BoxSelector (x1, x2, y1, y2)
- Connect directly from BoxSelector output

Optional Input

fallback_mode (COMBO): Behavior when no valid coordinates
- use_full_image: Return entire image (default)
- return_zero: Return black image
- error: Raise error

Output

cropped_image (IMAGE): Cropped region

How It Works

Extracts x1, x2, y1, y2 from metadata
If displayScaleFactor is present (from large image auto-scaling):
- Divides coordinates by scale factor to convert from preview space to original image space
Normalizes coordinates (ensures x1 < x2, y1 < y2)
Clips to image boundaries
Crops the specified region

Automatic Scale Correction

When BoxSelector uses auto-scale for large images (> 1024px), BoxCrop automatically:

Detects the displayScaleFactor in metadata
Converts preview-space coordinates back to original-image-space
Ensures crops match the intended selection on the original image

3. BoxResize (📦 BoxResize)

Resizes cropped regions with preset aspect ratios or custom dimensions, with full metadata tracking.

Input

image (IMAGE): Image to resize
size (COMBO): Preset selection or "Custom"
- 1:1 Square 1024x1024
- 3:4 Portrait 896x1152
- 5:8 Portrait 832x1216
- 9:16 Portrait 768x1344
- 9:21 Portrait 640x1536
- 4:3 Landscape 1152x896
- 3:2 Landscape 1216x832
- 16:9 Landscape 1344x768
- 21:9 Landscape 1536x640
- Custom (use width/height parameters)

Optional Input

keep_aspect_ratio (BOOLEAN): Maintain original aspect ratio (default: True)
interpolation_mode (COMBO): Resize algorithm
- bilinear (default, faster)
- bicubic (higher quality)
- nearest (pixel-perfect)
width (INT): Custom width [64-8192, step 8] (when size = "Custom")
height (INT): Custom height [64-8192, step 8] (when size = "Custom")

Output

image (IMAGE): Resized image
resize_metadata (STRING): JSON with resize information

Output JSON Format

{
    "original_width": 500,
    "original_height": 300,
    "resized_width": 1024,
    "resized_height": 1024,
    "scale_x": 2.048,
    "scale_y": 3.413,
    "size_preset": "1:1 Square 1024x1024",
    "keep_aspect_ratio": true,
    "interpolation_mode": "bilinear"
}

4. BoxReinsert (🎨 BoxReinsert)

Reinserts generated images back into original positions using metadata.

Input

original_image (IMAGE): Original full-size image
generated_image (IMAGE): Generated/processed image
box_metadata (STRING): Selection coordinates from BoxSelector
resize_metadata (STRING): Resize information from BoxResize

Output

image (IMAGE): Final image with generated content reinserted

How It Works

Reads box_metadata for original selection position (x1, x2, y1, y2)
If displayScaleFactor is present (from large image auto-scaling):
- Divides coordinates by scale factor to convert from preview space to original image space
If resize_metadata is provided:
- Resizes generated_image back to crop dimensions
- Inserts at exact original position
If resize_metadata is empty:
- Inserts generated_image as-is (bypasses resize reversal)
Returns full image with processed region in place

Automatic Scale Correction

When BoxSelector uses auto-scale for large images (> 1024px), BoxReinsert automatically:

Detects the displayScaleFactor in metadata
Converts preview-space coordinates back to original-image-space
Reinserts the generated content at the correct position on the original image

Flexible Workflow

With Resize: Generated → De-resize → Reinsert
Without Resize: Generated → Reinsert directly

🔄 Complete Workflow

Standard AI Generation Workflow

LoadImage
    ↓
📦 BoxSelector (select region interactively)
    ↓ box_metadata
✂️ BoxCrop (extract region)
    ↓ cropped_image
📦 BoxResize (prepare for AI, e.g., 1024x1024)
    ↓ resize_metadata
[AI Generation Model - SDXL, SD, etc.]
    ↓ generated_image
🎨 BoxReinsert (put back in original position)
    ↓
Output: Final image with AI-generated region

Direct Editing Workflow (skip resize)

LoadImage
    ↓
📦 BoxSelector (select region)
    ↓ box_metadata
✂️ BoxCrop (extract region)
    ↓ cropped_image
[Edit/Filter directly]
    ↓ edited_image
🎨 BoxReinsert (reinsert without resize)
    ↓
Output: Final image

💡 Metadata System

The metadata system ensures complete traceability:

BoxSelector Output: {"x1": ..., "y1": ..., "x2": ..., "y2": ..., "displayScaleFactor": ...}
- Stores original selection coordinates
- Includes scale factor if image was auto-scaled (for large images > 1024px)
- borderWidth and borderPosition also included
BoxResize Output: {"original_width": ..., "resized_width": ..., "scale_x": ..., ...}
- Tracks resize transformation for reversal
BoxCrop & BoxReinsert: Automatically handle:
- If displayScaleFactor present: Convert coordinates from preview-space to original-image-space
- Use converted coordinates for accurate cropping and reinsertion
- Both nodes work seamlessly with auto-scaled selections

⚙️ Settings & Presets

BoxSelector

Border Width: Fixed at 3px (built-in)
Border Position: Fixed at "inside" (built-in)

BoxResize Presets

All presets optimize for AI generation models:

Square: 1:1 ratio at 1024x1024
Portrait: Multiple heights (3:4, 5:8, 9:16, 9:21)
Landscape: Multiple widths (4:3, 3:2, 16:9, 21:9)

BoxResize Interpolation

bilinear: Fast, good quality (default)
bicubic: Slower, higher quality
nearest: Pixel-perfect, no smoothing

🔄 Coordinate System

All nodes use side coordinates (x1, x2, y1, y2):

x1: Left edge
x2: Right edge
y1: Top edge
y2: Bottom edge

This allows:

Easy understanding of selected region
Automatic validation (x1 < x2, y1 < y2)
Direct use for cropping and reinsertion

🎨 User Interface

BoxSelector Dialog

Left Panel (Controls)

Image name
Aspect Ratio selector (9 presets + Custom mode)
Clear Selection button
Selection coordinates display with live aspect ratio info
Scale info display (when large image is auto-scaled)

Right Panel (Canvas)

Interactive image canvas
Auto-scaled preview (for images > 1024px)
Click + drag to draw rectangle
Drag handles to resize
Drag body to move
Resize handles with smooth interaction

Features

🔧 Automatic Large Image Handling: Seamlessly scales down for preview while maintaining accuracy
📐 Aspect Ratio Locking: Lock to standard ratios or draw freely
📊 Live Feedback: Real-time coordinate and ratio display

📦 Installation

Clone/copy the BoxBox folder to:
```
ComfyUI/custom_nodes/BoxBox/
```
Restart ComfyUI
Nodes will appear in image/box category

📋 Requirements

ComfyUI: Latest version
Python: 3.8+
PyTorch: >= 2.0.0
Pillow (PIL): >= 8.0.0
NumPy: >= 1.20.0
torch.nn.functional: For interpolation (included with PyTorch)

requirements.txt

torch>=2.0.0
Pillow>=8.0.0
numpy>=1.20.0

🚀 Quick Start

Add LoadImage node
Add 📦 BoxSelector node, connect image
Click "📦 Select Box" button
Draw rectangle on image, click "✅ Confirm"
Add ✂️ BoxCrop, connect BoxSelector output
Add 📦 BoxResize, select preset (e.g., "1:1 Square 1024x1024")
Send to AI model or editor
Add 🎨 BoxReinsert:
- Connect original image from step 1
- Connect generated image from step 7
- Connect box_metadata from step 4 output
- Connect resize_metadata from step 6 output
Execute graph → final image!

🐛 Troubleshooting

Selection Dialog Doesn't Open

Make sure image is connected to BoxSelector
Check browser console (F12) for errors
Try reloading page (Ctrl+Shift+R)

Drawing Rectangle Doesn't Work

Ensure you're clicking inside the image area
Check that cursor shows crosshair
Try refreshing the page

Resize Creates Black/Empty Image

Check that keep_aspect_ratio is set correctly
Verify image dimensions are valid
Try different interpolation_mode

Reinsert Doesn't Work

Verify all 4 inputs are connected (original_image, generated_image, box_metadata, resize_metadata)
Check that metadata JSON is valid
Ensure original_image and box_metadata match (same image used for selection)

📝 Changelog

v1.1.0 (Current)

✅ Auto-Scale Large Images: Images > 1024px automatically scaled in preview for smooth selection
✅ displayScaleFactor Metadata: Scale factor saved in metadata for accurate coordinate conversion
✅ Aspect Ratio Locking: 9 preset aspect ratios + custom free drawing mode
✅ Smart Coordinate Correction: BoxCrop and BoxReinsert auto-correct coordinates from scaled previews
✅ Live Aspect Ratio Display: Shows closest standard ratio when drawing freely

v1.0.0

✅ BoxSelector with interactive region selection
✅ BoxCrop with coordinate-based cropping
✅ BoxResize with preset aspect ratios and custom sizes
✅ BoxReinsert with flexible resize handling
✅ Complete metadata tracking system
✅ Optional resize bypass in BoxReinsert
✅ Multiple interpolation modes

🎓 Advanced Usage

Chaining Multiple Regions

Select Region 1 → Crop → Resize → AI Generate → Reinsert
Parallel with:
Select Region 2 → Crop → Resize → AI Generate → Reinsert

Batch Processing

Use Reroute nodes to process same coordinates on multiple images.

Custom Aspect Ratios

Use BoxResize with "Custom" mode and specify exact width/height.

📄 License

MIT

🤝 Support

For issues, feature requests, or suggestions, please contact the developer.

Created for ComfyUI - Transform your images with precision! 🎯✂️📦🎨

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
.github/workflows		.github/workflows
image		image
web		web
workflow		workflow
README.md		README.md
__init__.py		__init__.py
box_reinsert_node.py		box_reinsert_node.py
box_resize_node.py		box_resize_node.py
pyproject.toml		pyproject.toml
region_crop_node.py		region_crop_node.py
region_selector_node.py		region_selector_node.py
requirements.txt		requirements.txt

mercu-lore/BoxBox

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BoxBox - Complete Image Region Processing Suite

📋 Overview

🎯 Available Nodes

1. BoxSelector (📦 BoxSelector)

Input

Output

Features

Output JSON Format

Advanced Features

2. BoxCrop (✂️ BoxCrop)

Input

Optional Input

Output

How It Works

Automatic Scale Correction

3. BoxResize (📦 BoxResize)

Input

Optional Input

Output

Output JSON Format

4. BoxReinsert (🎨 BoxReinsert)

Input

Output

How It Works

Automatic Scale Correction

Flexible Workflow

🔄 Complete Workflow

Standard AI Generation Workflow

Direct Editing Workflow (skip resize)

💡 Metadata System

⚙️ Settings & Presets

BoxSelector

BoxResize Presets

BoxResize Interpolation

🔄 Coordinate System

🎨 User Interface

BoxSelector Dialog

📦 Installation

📋 Requirements

requirements.txt

🚀 Quick Start

🐛 Troubleshooting

Selection Dialog Doesn't Open

Drawing Rectangle Doesn't Work

Resize Creates Black/Empty Image

Reinsert Doesn't Work

📝 Changelog

v1.1.0 (Current)

v1.0.0

🎓 Advanced Usage

Chaining Multiple Regions

Batch Processing

Custom Aspect Ratios

📄 License

🤝 Support

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