2024-08-03 19:47:31 +02:00
2024-08-03 19:01:42 +02:00
2024-08-03 19:45:43 +02:00
2024-08-03 19:47:31 +02:00

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:

image

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 CFG scale or 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.
  • SDE samplers can still burn a little but much less
  • 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!

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! 😁

S
Description
No description provided
Readme Apache-2.0
1.8 MiB
Languages
Python 100%