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

Simply plug after the model loader (same for all the fours 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 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.

• 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.

• The "Razor skim" toggle may give interesting results...
• 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
• 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.

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! 😁