ComfyUI Load Most Recent Image Node

A custom ComfyUI node that automatically loads the most recent image from a specified folder. This node is similar to the built-in "Load Image" node but automatically selects the newest file based on modification timestamp and can iterate back. It's useful for "do-over" workflows.

Features

• 🔄 Automatically loads images from a specified folder by recency
• 🖼️ Supports multiple image formats (JPG, PNG, BMP, TIFF, WebP, GIF)
• 📁 Configurable folder path input
• 📊 Index-based selection: Choose which image to load by recency (0 = most recent, 1 = second most recent, etc.)
• 🎭 Provides both image and mask outputs (with proper alpha channel handling)
• 🔍 Customizable image file extensions

Installation

1. Navigate to your ComfyUI custom nodes directory:

   cd ComfyUI/custom_nodes/
   

2. Clone this repository:

   git clone https://github.com/your-username/comfy-load-last-image.git
   

3. Restart ComfyUI

Usage

1. Add the "Load Most Recent Image" node to your ComfyUI workflow
2. Set the folder_path parameter to the directory containing your images
3. Optionally customize the image_extensions parameter (default: "jpg,jpeg,png,bmp,tiff,tif,webp")
4. Connect the image and mask outputs to other nodes as needed

Parameters

• folder_path (required): Path to the folder containing images
• image_extensions (optional): Comma-separated list of image file extensions to search for (default: "jpg,jpeg,png,bmp,tiff,tif,webp")
• index (optional): Which image to load by recency (default: 0)
  • 0 = most recent image
  • 1 = second most recent image
  • 2 = third most recent image, etc.

Outputs

• image: The loaded image as a tensor
• mask: The alpha channel as a mask (or a white mask if no alpha channel exists)

Example Use Cases

• 🎨 Latest Generation: Load the most recent generated image from an output folder (index=0)
• 📸 Previous Results: Compare current vs previous generation by switching between index=0 and index=1
• 🔄 Batch Processing: Process multiple recent images by incrementing the index
• 🎬 Animation Workflows: Load frames in reverse chronological order
• 🔍 Quality Control: Review recent outputs by stepping through different index values
• 📊 A/B Testing: Compare different versions of generated content

Technical Details

The node:

• Scans the specified folder for image files with the given extensions
• Selects the file with the most recent modification timestamp
• Loads the image using PIL and converts it to the format expected by ComfyUI
• Handles both RGB and RGBA images
• Provides proper mask output from alpha channels or creates a default white mask

Troubleshooting

"Invalid image file" Error

If you get an error like "Invalid image file: filename.png", this usually means:

1. The image file is corrupted or incomplete
2. The file has an unsupported format
3. The file extension doesn't match the actual content

Solutions:

• Check if the image opens correctly in an image viewer
• Try with a different image format (PNG is usually most reliable)
• Ensure the file is completely written (not still being created by another process)

"No image files found" Error

This means the node couldn't find any images in the specified folder.

Solutions:

• Verify the folder path is correct
• Check the image_extensions parameter includes the formats you're using
• Ensure the folder actually contains image files

Node Not Appearing in ComfyUI

If the node doesn't appear after installation:

1. Restart ComfyUI completely
2. Check the ComfyUI console for any error messages
3. Verify the node files are in the correct location (ComfyUI/custom_nodes/comfy-load-last-image/)
4. Make sure all required files (__init__.py, load_most_recent_image.py) are present

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

If you encounter any issues, please create an issue on the GitHub repository with:

• Your ComfyUI version
• The error message (if any)
• A description of what you were trying to do
• Your operating system

License

MIT License - see LICENSE file for details.