https://github.com/Extraltodeus/Skimmed_CFG
A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)
https://github.com/Extraltodeus/Skimmed_CFG
artificial-intelligence comfyui comfyui-nodes generative-ai stable-diffusion
Last synced: 4 months ago
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A powerful anti-burn allowing much higher CFG scales for latent diffusion models (for ComfyUI)
- Host: GitHub
- URL: https://github.com/Extraltodeus/Skimmed_CFG
- Owner: Extraltodeus
- Created: 2024-08-03T17:01:28.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-10-25T20:59:10.000Z (6 months ago)
- Last Synced: 2024-12-17T00:31:52.139Z (4 months ago)
- Topics: artificial-intelligence, comfyui, comfyui-nodes, generative-ai, stable-diffusion
- Language: Python
- Homepage:
- Size: 1.77 MB
- Stars: 151
- Watchers: 3
- Forks: 5
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-comfyui - **Skimmed_CFG** - burn allowing much higher CFG scales for latent diffusion models (for ComfyUI) (All Workflows Sorted by GitHub Stars)
README
# 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
Simply plug after the model loader (same for all the fours nodes):
Tested with SD3.5 turbo. To make it work set the skimming scale at 2~2.5
## 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](https://github.com/Extraltodeus/pre_cfg_comfy_nodes_for_ComfyUI/tree/main) 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!](https://www.patreon.com/extraltodeus) 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](https://github.com/Extraltodeus/shared_models_galleries)! 😁
# Other examples with a CFG at 100
### Base image 🤭
### Linear interpolation dual scale 10/0
### Linear interpolation dual scale 5/0
### Linear interpolation scale 5
### Replace
### Skimmed CFG node skimming scale at 4
### Skimmed CFG node skimming scale at 4 with razor skim
### full_skim_negative / disable_flipping_filter / skimming scale at 6 / CFG scale at 32
_do not lick the screen_