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ComfyUI-Impact-Pack (FaceDetailer)

Automatically detects faces, hands, or objects with YOLO/SAM, crops them to high resolution, inpaints details, and blends them back seamlessly. Package: ltdrdata/ComfyUI-Impact-Pack.

Updated Oct 17, 2026 · 1 min read

At a glanceEntity
Node / Pack
ComfyUI-Impact-Pack (FaceDetailer)
Category
custom-pack
Inputs
image, model, clip, vae, positive, negative, bbox_detector, sam_model_opt
Outputs
IMAGE, cropped_refined, mask
Source Pack
ltdrdata/ComfyUI-Impact-Pack

What ComfyUI-Impact-Pack (FaceDetailer) does in a ComfyUI graph

Automatically detects faces, hands, or objects with YOLO/SAM, crops them to high resolution, inpaints details, and blends them back seamlessly.

On the canvas, this node accepts `image, model, clip, vae, positive, negative, bbox_detector, sam_model_opt` and emits `IMAGE, cropped_refined, mask`. Every pin is color-coded by data type so you cannot accidentally wire a pixel `IMAGE` tensor into a `LATENT` pin without an intermediate encode step.

Installation and missing-node recovery on Windows

ComfyUI-Impact-Pack (FaceDetailer) is provided by `ltdrdata/ComfyUI-Impact-Pack`. Open ComfyUI-Manager, click **Install Custom Nodes** (or **Install Missing Custom Nodes** if you loaded a workflow with red boxes), and restart the server.

Download the full Windows desktop or portable package at /download to get started with a clean Python 3.12 environment.

FAQs

How do I fix "ComfyUI-Impact-Pack (FaceDetailer)" showing up as a red box in ComfyUI?

Open ComfyUI-Manager, click **Install Missing Custom Nodes**, install `ltdrdata/ComfyUI-Impact-Pack`, and restart ComfyUI.

What are the main inputs and outputs of ComfyUI-Impact-Pack (FaceDetailer)?

Inputs: image, model, clip, vae, positive, negative, bbox_detector, sam_model_opt. Outputs: IMAGE, cropped_refined, mask.

Run on your hardware. Free forever.

The full ComfyUI engine: open source, fast, extensible, and yours to run however you want. Download the desktop app and open this workflow on your own machine.

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