SAM 3.1 ComfyUI Workflow | Native Segmentation and Video Tracking

Insane accuracy for image segmentation and object tracking.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

This workflow lets you segment images and track objects across frames with pinpoint accuracy. Using comfy-core detection and tracking, it enables real-time bounding-box previews and mask extraction without third-party nodes. You can isolate elements for compositing or editing easily. Ideal for motion designers, editors, and AI creators seeking reusable masks. Achieve clean, native integration and enhance workflow efficiency with full visual control.

Notes

SAM 3.1 ComfyUI Workflow | Native Segmentation and Video Tracking — see RunComfy page for the latest node requirements.