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ComfyUI-Roboflow

This is a ComfyUI node that connects with Roboflow workflows.

Roboflow hosts hundreds of thousands of open source and custom object detection models: https://universe.roboflow.com/.

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Workflows has a node based drag & drop system similar to ComfyUI that can optionally be hosted. The default setting for this repository is to use the hosted version.

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Included Nodes

  • Background Removal: Removes the background from an image

  • Label Emotions: Detects human faces and labels them with the emotion they are expressing.

  • Custom Workflow - 1 Image: Template for sending an image to a workflow you make and exporting up to 4 images and/or 4 strings to send to other nodes.

  • Detect Objects (Soon): Detect objects on an image using YOLO, vLLMs, Clip, or any trained Object Detection / Classification / Instance Segmentation model in the Roboflow Universe.

  • Count Objects (Soon): Count objects in an image using YOLO, vLLMs, or any trained Object Detection / Instance Segmentation model in the Roboflow Universe.

  • Blur Objects (Soon): Detect and Blur objects in an image using YOLO, vLLMs, or any trained Object Detection / Instance Segmentation model in the Roboflow Universe.

  • Crop Objects (Soon): Detect and Crop objects in an image using YOLO, vLLMs, or any trained Object Detection / Instance Segmentation model in the Roboflow Universe.

Prerequisites

Get your workflow ID and free API key from Roboflow to use this node.

Installation

  1. Download or clone the repo

git clone https://github.com/DareFail/ComfyUI-Roboflow

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  1. Copy the ComfyUI-Roboflow folder into your ComfyUI/customer_nodes folder
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  1. Restart ComfyUI and add any node under "Roboflow"

Acknowledgements

  • Thanks to Roboflow for sponsoring this project. Get your free API key at: Roboflow

License

Distributed under the APACHE 2.0 License. See LICENSE for more information.

Contact (feel free to ask questions!)

Twitter: @darefailed

Youtube: How to Video coming soon

Project Link: https://github.com/DareFail/ComfyUI-Roboflow

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