ComfyUI Batch Background Remover

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Model description

🧠 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.

đź”§ How It Works

  1. 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”.

  2. 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.

  3. 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.

đź§© 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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