ComfyUI LoRA Utils

A collection of utility nodes for advanced LoRA manipulation in ComfyUI, allowing users to load, modify, and apply LoRAs with fine-grained control.

Example

You can find a complete ComfyUI workflow example in the example files. These workflows demonstrate how to use the various nodes for advanced LoRA manipulation, including loading, modifying, and applying LoRAs with precise layer control.

Node

Load LoRA Only

This node loads a LoRA file without applying it to any models. It provides separation between loading and application, allowing for more flexible LoRA workflows where you can modify the LoRA before applying it.

Inputs

lora_name: The name of the LoRA file to load from the loras directory

Outputs

LORA: The loaded LoRA state dictionary that can be used by other nodes

Behavior

Loads a LoRA file and stores it in memory for efficient reuse

Caches the loaded LoRA to avoid reloading when the same file is used

Returns the LoRA in a format that can be modified or applied to models

Allows separation of the loading and application phases for more flexible workflows

LoRA Layers Operation

This node modifies specific layers in a loaded LoRA using pattern matching and index-based selection. It can zero out or scale specific layers based on regex patterns, providing fine-grained control over LoRA behavior.

Inputs

lora: The LoRA state dictionary to modify

layer_pattern: Regex pattern to match layer names (default: .*transformer_blocks\.(\d+)\.)

layer_indices: Comma-separated list of layer indices to operate on, with support for ranges (e.g., ’59’, ‘10,11,12’, or ’50-53′)

scale_factor: Scale factor to apply. Use 0 to zero out layers, or any other value to multiply the layer weights

Outputs

modified_lora: The modified LoRA state dictionary with specified layers adjusted

Behavior

Uses regex pattern matching to identify which layers to modify

Supports both individual indices and ranges (e.g., “50-53” includes 50, 51, 52, 53)

When scale_factor is 0, zeros out the selected layers completely

When scale_factor is non-zero, multiplies the selected layer weights by the scale factor

Preserves all other layers unchanged

Provides detailed logging about which layers were modified

Merge LoRA to Model

This node applies a pre-loaded LoRA to diffusion and CLIP models. It allows separation of loading and application, and optionally supports applying to the model only without requiring a CLIP model.

Inputs

model: The diffusion model to apply the LoRA to

lora: The loaded LoRA to apply

strength_model: How strongly to modify the diffusion model (default: 1.0, can be negative)

clip (optional): The CLIP model to apply the LoRA to

strength_clip (optional): How strongly to modify the CLIP model (default: 1.0, can be negative)

Outputs

MODEL: The modified diffusion model

CLIP: The modified CLIP model (or original model if no CLIP was provided)

Behavior

Applies the loaded LoRA to the specified models with the given strengths

Supports optional CLIP model – if not provided, only modifies the diffusion model

When no CLIP is provided, returns the original model in place of the CLIP output

Allows negative strength values for inverse LoRA effects

Enables flexible workflows where LoRA loading, modification, and application are separate steps

LoRA Stat Viewer

This node provides detailed information about a LoRA file’s structure to help users define appropriate layer patterns for the LoRA Layers Operation node.

Inputs

lora: The loaded LoRA to analyze

Outputs

lora_info: A string containing detailed information about the LoRA structure

Behavior

Provides total count of keys in the LoRA file

Groups keys by layer types to show what kinds of LoRA components are present

Shows first 10 keys as examples for pattern creation

Identifies transformer block indices when present

Displays the complete list of all keys in the LoRA for reference

Helps users craft precise regex patterns for LoraLayersOperation

Save LoRA

This node saves a modified LoRA state dictionary to a safetensors file. It allows users to persist their LoRA modifications for later use.

Inputs

lora: The modified LoRA state dictionary to save

filename: The filename to save the LoRA as (e.g. my_lora.safetensors)

output_dir (optional): Directory to save the LoRA to. Defaults to ComfyUI output directory if not provided.

Outputs

None (this is an output node that performs file saving)

Behavior

Saves the LoRA to the specified filename in safetensors format

Will overwrite existing files if they have the same name

Automatically adds .safetensors extension if not present

Saves to the ComfyUI output directory by default

Optionally accepts a custom output directory

Provides feedback message confirming the save location

Lora Add

This node combines two loaded LoRAs by adding their tensor values together. It allows users to merge the effects of two different LoRAs into a single LoRA for application to models.

Inputs

loraA: The first LoRA state dictionary to add

loraB: The second LoRA state dictionary to add

Outputs

merged_lora: A new LoRA state dictionary containing the combined effects of both input LoRAs

Behavior

Adds the tensor values of matching keys from both LoRAs together

Preserves all keys from both input LoRAs in the result

For keys that exist in both LoRAs, adds the tensor values together

For keys that exist in only one LoRA, includes them unchanged in the result

Creates a new LoRA that contains the combined strengths of both input LoRAs

Useful for combining complementary LoRAs or layering different effects

Key Features

Separation of Concerns: Load, modify, and apply LoRAs in separate steps for maximum flexibility

Fine-grained Control: Target specific layers using regex patterns and index ranges

Zero Out or Scale: Control layer behavior by zeroing out or scaling individual layers

LoRA Analysis: View LoRA structure to help define appropriate patterns

Optional CLIP Processing: Flexibility to modify only the model without touching CLIP

Batch Layer Selection: Support for ranges and multiple indices for efficient layer targeting

Installation

Clone or download this repository into your ComfyUI’s custom_nodes directory.

Restart ComfyUI.

The nodes will be available in the “LoraUtils” category.

Contact

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