⚠️ IMPORTANT: This repository is no longer receiving updates or maintenance. For ongoing development, check out the fork of this project maintained by jags111.
Efficiency Nodes for ComfyUI
A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.
Direct Download Link
Nodes:
Efficient Loader & Eff. Loader SDXL
Nodes that can load & cache Checkpoint, VAE, & LoRA type models. (cache settings found in config file 'node_settings.json')
Able to apply LoRA & Control Net stacks via their lora_stack and cnet_stack inputs.
Come with positive and negative prompt text boxes. You can also set the way you want the prompt to be [encoded](https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb) via the token_normalization and weight_interpretation widgets.
These node's also feature a variety of custom menu options as shown below.

note: "🔍 View model info..." requires ComfyUI-Custom-Scripts to be installed to function.
These loaders are used by the XY Plot node for many of its plot type dependencies.

KSampler (Efficient), KSampler Adv. (Efficient), KSampler SDXL (Eff.)
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Modded KSamplers with the ability to live preview generations and/or vae decode images.
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Feature a special seed box that allows for a clearer management of seeds. (-1 seed to apply the selected seed behavior)
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Can execute a variety of scripts, such as the XY Plot script. To activate the script, simply connect the input connection.
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Script Nodes
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A group of node's that are used in conjuction with the Efficient KSamplers to execute a variety of 'pre-wired' set of actions.
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Script nodes can be chained if their input/outputs allow it. Multiple instances of the same Script Node in a chain does nothing.

XY Plot
Node that allows users to specify parameters for the Efficiency KSamplers to plot on a grid.

HighRes-Fix
Node that the gives user the ability to upscale KSampler results through variety of different methods.
Comes out of the box with popular Neural Network Latent Upscalers such as Ttl's [ComfyUi_NNLatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale) and City96's [SD-Latent-Upscaler](https://github.com/city96/SD-Latent-Upscaler).
Supports ControlNet guided latent upscaling. (You must have Fannovel's [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) installed to unlock this feature)

Noise Control
This node gives the user the ability to manipulate noise sources in a variety of ways, such as the sampling's RNG source.
The [CFG Denoiser](https://github.com/shiimizu/ComfyUI_smZNodes) noise hijack was developed by smZ, it allows you to get closer recreating Automatic1111 results.
Note: The CFG Denoiser does not work with a variety of conditioning types such as ControlNet & GLIGEN
This node also allows you to add noise [Seed Variations](https://github.com/chrisgoringe/cg-noise) to your generations.
For trying to replicate Automatic1111 images, this node will help you achieve it. Encode your prompt using "length+mean" token_normalization with "A1111" weight_interpretation, set the Noise Control Script node's rng_source to "gpu", and turn the cfg_denoiser to true.

Tiled Upscaler
The Tiled Upscaler script attempts to encompas BlenderNeko's [ComfyUI_TiledKSampler](https://github.com/BlenderNeko/ComfyUI_TiledKSampler) workflow into 1 node.
Script supports Tiled ControlNet help via the options.
Strongly recommend the preview_method be "vae_decoded_only" when running the script.

AnimateDiff
To unlock the AnimateDiff script it is required you have installed Kosinkadink's [ComfyUI-AnimateDiff-Evolved](https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved).
The latent batch_size when running this script becomes your frame count.

Image Overlay
Node that allows for flexible image overlaying. Works also with image batches.

SimpleEval Nodes
A collection of nodes that allows users to write simple Python expressions for a variety of data types using the [simpleeval](https://github.com/danthedeckie/simpleeval) library.
To activate you must have installed the simpleeval library in your Python workspace.
pip install simpleeval

Workflow Examples:
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HiRes-Fixing
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SDXL Refining & Noise Control Script
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XY Plot: LoRA model_strength vs clip_strength
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Stacking Scripts: XY Plot + Noise Control + HiRes-Fix
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Stacking Scripts: AnimateDiff + HiRes-Fix (with ControlNet)
Dependencies
The python library simpleeval is required to be installed if you wish to use the Simpleeval Nodes. pip install simpleeval
Install:
To install, drop the "efficiency-nodes-comfyui" folder into the "...\ComfyUI\ComfyUI\custom_nodes" directory and restart UI.