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Flux ControlNet Depth - Beginner Friendly (Dev & GGUF)

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PS - a better version of depth controlnet workflow has been posted here:  https://openart.ai/workflows/odam_ai/best-flux-depth-controlnet-instantx-union-pro---beginner-friendly-dev-gguf/payayOX8tlOPiWevdz8J



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)

  • - v20240906-172903

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)