neverbiasu/ComfyUI-SAM2

ComfyUI wrapper for segment anything 3

ComfyUI-TBG-SAM3 A plug-and-play ComfyUI extension providing production-ready nodes for Meta’s SAM3 (Segment Anything Model 3) for text- or point-based segmentation, exhaustive mask generation, and per-segment or global depth mapping. All outputs are compatible with advanced segmentation packs such as Impact Pack SEGS and TBG-ETUR Upscaler Pro

MetaSeg: Packaged version of the Segment Anything repository

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Nodes for using ComfyUI as a backend for external tools. Send and receive images directly without filesystem upload/download.

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"