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ComfyDeploy: How Skimmed_CFG works in ComfyUI?

What is Skimmed_CFG?

A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for Skimmed_CFG and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

Skimmed_CFG

A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)

CFG below at: 6/8/12/16/24/32, skimming scale at 6

6_8_12_16_24_32

Simply plug after the model loader (same for all the fours nodes):

image

nodes:

  • Skimmed CFG: My version first version of this, works like a charm!
  • Skimmed CFG - replace: replace the values within the negative by those in the positive prediction, nullifying (actually giving an equivalent scale of 1) the effect of values targeted by the filter.
  • Skimmed CFG - linear interpolation: instead of replacing, does a linear interpolation in between the values. Highly recommanded!
  • Skimmed CFG - linear interpolation dual scales: Two scales. One named "positive" and one.. well "negative". The name is more related to a visualy intuitive relation rather than fully from the predictions. A higher positive will tend to go towards high saturations and vice versa with the other slider.
  • Skimmed CFG - Difference CFG: Other algorithms based on changes depending on the scale. Brings back what goes too far in comparison.
  • Skimmed CFG - Timed flip: To be used with normal scales. Enhances the randomness and overall quality of the image. A bit less of an antiburn and a lot more of an enhancer. SDE Samplers react extremely well to it.

special option (first node only):

  • full_skim_negative: fully skim some part of the conflicting influence.
  • disable_flipping_filter: the skimming CFG will have much more control. It is meant to be used with the full_skim_negative toggle on. (the last image of this readme is an example)

Side-effects:

  • better prompt adherence
  • sharper images
  • less mess / more randomness due to less conflicts in between the positive and negative predictions
  • something something sometimes fused fingers with too low skimming CFG scale and too low amount of steps.

Tips:

  • The skimming scale is basically how much do you like them burned. 3 was the intended scale but suit to your needs.
  • The SDE samplers can still burn a little but much less
  • The SDE samplers can still totaly do nonsense with low steps (not with the node named "Timed flip")
  • A too low skimming scale may require to do more steps
  • Recommanded skim: 2-3 for maximum antiburn, 5-7 for colorful/strong style. 4 is cruise scale.
  • a good negative prompt is a style negative prompt
  • to use super high scales it is not a bad idea to cut the negative before the end. You can find in this repository a node named "Support empty uncond". Plug it after the skimmed cfg node. Then menu>advanced>conditioning>ConditioningSetTimestepRange and set the and at ~65%. This will avoid potential artifacts.

Pro tip:

It would be actually nice to have some support! because like this I will continue to share my findings!

Did you know that my first activity is to write creative model merging functions?

While the code is too much of a mess to be shared, I do expose and share my models. You can find them in this gallery! 😁

Other examples with a CFG at 100

Base image 🤭

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Linear interpolation dual scale 10/0

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Linear interpolation dual scale 5/0

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Linear interpolation scale 5

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Replace

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Skimmed CFG node skimming scale at 4

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Skimmed CFG node skimming scale at 4 with razor skim

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full_skim_negative / disable_flipping_filter / skimming scale at 6 / CFG scale at 32

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do not lick the screen