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ComfyUI Extension: ComfyUI Impact Pack

Repo Name

ComfyUI-Impact-Pack

Author
Dr.Lt.Data (Account age: 458 days)
Nodes
View all nodes (177)
Latest Updated
6/19/2024
Github Stars
1.4K

How to Install ComfyUI Impact Pack

Install this extension via the ComfyUI Manager by searching for  ComfyUI Impact Pack
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI Impact Pack in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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ComfyUI Impact Pack Description

ComfyUI Impact Pack enhances facial details with detector and detailer nodes, and includes an iterative upscaler for improved image quality.

ComfyUI Impact Pack Introduction

The ComfyUI-Impact-Pack is a powerful extension designed to enhance your image processing capabilities within the ComfyUI environment. This extension provides a suite of custom nodes that facilitate advanced image enhancement tasks such as detection, detailing, upscaling, and more. Whether you're looking to refine image details, upscale images, or apply complex workflows, the ComfyUI-Impact-Pack offers the tools you need to achieve professional results.

How ComfyUI Impact Pack Works

The ComfyUI-Impact-Pack operates by integrating custom nodes into the ComfyUI framework. These nodes are designed to perform specific tasks such as detecting objects in images, refining image details, and upscaling images. By connecting these nodes in a workflow, you can automate complex image processing tasks. For example, you can use a detector node to identify faces in an image, a detailer node to enhance the detected faces, and an upscaler node to increase the image resolution. The nodes work together seamlessly, allowing you to create sophisticated image processing pipelines with ease.

ComfyUI Impact Pack Features

Detector Nodes

  • SAMLoader: Loads the SAM model for segmentation tasks.
  • UltralyticsDetectorProvider: Loads the Ultralytics model to provide segmentation and bounding box detection.
  • ONNXDetectorProvider: Loads the ONNX model for bounding box detection.
  • CLIPSegDetectorProvider: Uses CLIPSeg for bounding box detection (requires ComfyUI-CLIPSeg extension).
  • SEGM Detector (combined): Detects segmentation and returns a mask from the input image.
  • BBOX Detector (combined): Detects bounding boxes and returns a mask from the input image.

ControlNet and IPAdapter Nodes

  • ControlNetApply (SEGS): Applies ControlNet in SEGS with optional preprocessing.
  • ControlNetClear (SEGS): Clears applied ControlNet in SEGS.
  • IPAdapterApply (SEGS): Applies IPAdapter in SEGS with optional preprocessing.

Mask Operation Nodes

  • Pixelwise(SEGS & SEGS): Performs a pixelwise AND operation between two SEGS.
  • Pixelwise(SEGS - SEGS): Subtracts one SEGS from another.
  • Dilate Mask: Dilates a mask, supporting erosion for negative values.
  • Gaussian Blur Mask: Applies Gaussian blur to a mask for feathering.

Detailer Nodes

  • Detailer (SEGS): Refines the image based on SEGS.
  • MASK to SEGS: Converts a mask to SEGS.
  • FaceDetailer: Detects and improves faces in images.
  • MaskDetailer (pipe): Applies the Detailer to the mask area for inpainting.

SEGS Manipulation Nodes

  • SEGSDetailer: Performs detailed work on SEGS without pasting it back onto the original image.
  • SEGSPaste: Pastes the results of SEGS onto the original image.
  • SEGSPreview: Provides a preview of SEGS before merging it into the original image.
  • SEGS Filter (label): Filters SEGS based on the label of detected areas.

Pipe Nodes

  • ToDetailerPipe: Bundles multiple inputs used in the detailer into a single DETAILER_PIPE.
  • Latent Scale (on Pixel Space): Converts latent to pixel space, upscales it, and converts it back to latent.

Iterative Upscale Nodes

  • Iterative Upscale (Latent/on Pixel Space): Upscales an image/latent by a scale factor iteratively.

Image Utils

  • PreviewBridge (image): Provides a bridge for image preview when using the MaskEditor feature of Clipspace.
  • ImageSender: Sends images to the ImageReceiver with the same link_id.

Switch Nodes

  • Switch (image,mask): Selects the input designated by the selector and outputs it.
  • Switch (Any): Takes an arbitrary number of inputs and produces a single output.

Wildcards Nodes

  • ImpactWildcardProcessor: Processes wildcards in text to generate dynamic prompts.
  • ImpactWildcardEncode: Provides loading functionality for LoRAs and encodes populated prompts using CLIP.

Regional Sampling Nodes

  • RegionalPrompt: Combines a mask and sampler to create REGIONAL_PROMPTS.
  • RegionalSampler: Performs sampling using a base sampler and regional prompts.

Troubleshooting ComfyUI Impact Pack

Common Issues and Solutions

  1. Compatibility Issues: Ensure you are using the correct version of ComfyUI as specified in the notices.
  2. Installation Errors: If errors occur during installation, refer to the for assistance.
  3. Node Malfunctions: If nodes are not functioning as expected, check for updates and ensure all dependencies are installed correctly.

Frequently Asked Questions

  • Q: How do I update the ComfyUI-Impact-Pack?
  • A: Use the command git pull in the ComfyUI-Impact-Pack directory to fetch the latest updates.
  • Q: Can I use custom models with the detector nodes?
  • A: Yes, you can load custom models using the appropriate detector provider nodes.

Learn More about ComfyUI Impact Pack

For additional resources, tutorials, and community support, visit the following links:

  • By leveraging the ComfyUI-Impact-Pack, you can significantly enhance your image processing workflows, making it easier to achieve high-quality results with minimal effort.

ComfyUI Impact Pack Related Nodes

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