🧠 Short Description

A simple and efficient ComfyUI workflow that automatically removes image backgrounds in batch using WAS Node Suite.
Designed for creators preparing datasets or isolating subjects with clean transparent outputs.

⚙️ Detailed Description

This workflow automates background removal on a folder of images using the Rembg node from WAS Node Suite.
It processes each image sequentially, generating PNGs with or without transparency ready for dataset creation, compositing, or further post-processing.

🔧 How It Works

Input Configuration (orange)
- Select the folder containing your images.
- A batch size of 1 is recommended for sequential and stable processing.
- Use “Run (instant)” instead of the regular “Run” button to ensure proper batch execution.
- You need to monitor the progress and stop when the last image is processed using “Clear pending tasks”.
Background Removal (blue)
- The workflow uses the Rembg (Remove Background) node.
- The transparency option is enabled by default.
- Adjustable parameters let you fine-tune the segmentation thresholds and erosion size.
Output (black)
- The processed images are saved automatically with your chosen filename prefix.
- The results are, by default, transparent PNGs stored in your standard ComfyUI output directory.
- You can easily change the save path or prefix for different batches.

🧩 Features

Clean and modular layout (Input → Process → Output).
All non-core nodes used in this workflow can be installed directly through ComfyUI Manager.
Ideal for dataset preparation, character isolation, or post-processing pipelines.
Includes Markdown annotations for clear, step-by-step instructions inside the workflow.

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