nodes/GiusTex-ComfyUI-MoreEfficientSamplers

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Gius 91c32f193a vae now decodes denoised_latent

vae decode now decodes denoised_latent instead of latent, to not have leftover noise when decoding not at last step

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.github/workflows

chore(publish): Add Github Action for Publishing to Comfy Registry

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__init__.py

update init

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guider.py

added guider.py

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LICENSE

Initial commit

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pyproject.toml

chore(pyproject): Add pyproject.toml for Custom Node Registry

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README.md

update readme

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samplers.py

vae now decodes denoised_latent

2026-06-10 17:31:59 +02:00

utils.py

add sample_custom_ultra_plus function

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README.md

ComfyUI-MoreEfficientSamplers

A ksampler inspired by efficiency-nodes comfyui bundling some native nodes.

Updates:

Updated SamplerCustomAdvancedEfficient to work through comfyui Sampler Custom Advanced to support LTXV combined latent and future comfyui updates.
Added ScheduledCfgGuider, CFGFloatListScheduler (taken from my Wan-TimeToMove) to support higher cfg values at first steps without needing Wan-TimeToMove.
Removed redundant nodes.

An edit of efficiency-nodes's ksampler adv. (eff.) to let it accept custom samplers, schedulers (sigmas) and guiders through comfyui Sampler Custom Advanced and other native nodes. Supports:

internal slicing of the sigmas, useful for multi-stage sampling;
use of only positive, useful for sampling with cfg 1;
use of optional custom samplers, scheduler and guiders. Connect and use them or bypass them/leave the slots empty to use default widgets.

Suggested resources:

flowmatch scheduler: useful with video models using lightx loras;
ScheduledCfgGuider: supports higher cfg values at first steps.

Download

To install ComfyUI-MoreEfficientSamplers, follow these steps:

Go in the ComfyUI custom_nodes folder, then download the repository or clone it here: git clone https://github.com/GiusTex/ComfyUI-MoreEfficientSamplers.git.
Restart ComfyUI.