controls described in the paper
eta affects saturation/contrast
rescale threshold ... highly variable depending on model, experiment
momentum between -0.75 and -0.25 recommended
The paper mostly compares APG with too-high CFG, which I'm not sure is all that useful - we already know high CFG burns badly, so a better comparison would be between APG and reasonable CFG to see if we really do get better quality, better prompt adherence, etc. Anyway, it does something.
Also,
TraSCE: Trajectory Steering for Concept Erasure https://arxiv.org/abs/2412.07658
Intent from the paper is to improve the ability of the negative prompt to remove/control concepts: using a negative is necessary - no effect if the negative prompt is empty.
Basically, cfg_result = empty_conditioning + guidance * (positive_conditioning - negative_conditioning).
Standard is cfg_result = negative_conditioning + guidance * (positive_conditioning - negative_conditioning).
Also, some other experimental stuff. And SkipLayerGuidance for SD3.
Also, Frequency-Decoupled Guidance: https://arxiv.org/pdf/2506.19713.
Note
Requires kornia>=0.6.8. Forge default is v0.6.7. Edit requirements_versions.txt in the Forge webUI directory.
FDG Option will be hidden if using older version.
Input Frequency-Decoupled Guidance scaler is at least two numbers for high frequency and low frequency components:
7.0, 1.5is equivalent to high frequency CFG 7.0 and low frequency CFG 1.5.- more levels can be used:
7.0, 5.0, 1.5for high, middle, low - prefix
*means the value is a multipler for CFG scale:*1.1, 1.7means 1.1*CFG scale for high frequency, and low frequency set to 1.7
Also, Tangential Damping https://arxiv.org/pdf/2503.18137

