ComfyUI-Latent-Modifiers

A repository of ComfyUI nodes which modify the latent during the diffusion process.

Latent Diffusion Mega Modifier (sampler_mega_modifier.py)

Adds multiple parameters to control the diffusion process towards a quality the user expects.

  • Sharpness: utilizes code from Fooocus's sampling process to sharpen the noise in the middle of the diffusion process. This can lead to more perceptual detail, especially at higher strengths.

  • Tonemap: Clamps conditioning noise (CFG) using a user-chosen method, which can allow for the use of higher CFG values.

  • Rescale: Scales the CFG by comparing the standard deviation to the existing latent to dynamically lower the CFG.

  • Extra Noise: Adds extra noise in the middle of the diffusion process, akin to how sharpness sharpens the noise.

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Readme GPL-3.0
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Python 100%