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ComfyUI Batch Background Remover — v1.0

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.

VersiónRelease 2395832 — Background Batch Autoremove.jsonVRAM estimadaNot yet characterizedDcalidad

Perfil de ejecución

Acceso
Flujo externo
Estado
Publicado
Versión
Background Batch Autoremove.json
Fuente
Civitai
Actualizado
17 oct 2026

Descripción de la fuente

🧠 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.

What you need

Model files
0 GiB

Remaining hardware or download-size estimates are not available yet.

Requisitos

Paquetes de nodos

4

Fuentes

1 fuente
CivitaiPrincipalVersión 2395832
civitai.com/models/2117873

Verificado 17 oct

Extractos de fuentes

1 extracto

Source context: 207 downloads · Type Workflows · Base model Other