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Flux Soft Edge/HED ControlNet - Beginner Friendly (Dev & GGUF)

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Description

The soft edge controlnet is suitable for controlling subjects with a blurry edge.  Animals with furry edges may be good examples.  PS: I believe this controlnet was trained using 768x768 images, so use that as your image size for optimal results.


This is a series of basic workflows made for beginners. I did a few things to make things more beginner friendly:

1) Cleaned up workflow and included notes to explain how the nodes work.

2) Supports both flux dev and flux GGUF Q8, depending on how much VRAM you have.

3)  Automatically upscales reference image, and automatically sets height / width to avoid standardization issues.


Link to other beginner friendly Flux ControlNet modules will be updated below:

ControlNet Canny (Xlab):

ControlNet Depth (Xlab):

ControlNet Soft Edge / HED (Xlab):

ControlNet Openpose (InstantX):

ControlNet Tile (InstantX):


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  • - latest (a year ago)

Primitive Nodes (10)

ApplyFluxControlNet (1)

CLIPTextEncodeFlux (2)

Image Comparer (rgthree) (1)

LoadFluxControlNet (1)

Note (3)

UnetLoaderGGUF (1)

XlabsSampler (1)

Custom Nodes (10)

ComfyUI

  • - DualCLIPLoader (1)

  • - EmptyLatentImage (1)

  • - VAEDecode (1)

  • - VAELoader (1)

  • - LoadImage (1)

  • - SaveImage (1)

  • - UNETLoader (1)

  • - PreviewImage (1)

ComfyUI Nodes for Inference.Core

  • - AIO_Preprocessor (1)

  • - ImageResizeKJ (1)

Checkpoints (0)

LoRAs (0)