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ComfyUI > Nodes > Comfyui-MMH3-UltimateUpscale > LTX25 IC-LoRA Loader (MSR)

ComfyUI Node: LTX25 IC-LoRA Loader (MSR)

Class Name

LTX25ICLoRALoader

Category
model/latent/ltxv
Author
bbaudio-2025 (Account age: 418days)
Extension
Comfyui-MMH3-UltimateUpscale
Latest Updated
2026-08-27
Github Stars
0.11K

How to Install Comfyui-MMH3-UltimateUpscale

Install this extension via the ComfyUI Manager by searching for Comfyui-MMH3-UltimateUpscale
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Comfyui-MMH3-UltimateUpscale in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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LTX25 IC-LoRA Loader (MSR) Description

Facilitates integration of LTX2.5 MSR IC-LoRA into diffusion models, extracting reference-slot embeddings for consistent AI-generated art.

LTX25 IC-LoRA Loader (MSR):

The LTX25ICLoRALoader node is designed to facilitate the integration of LTX2.5 MSR multi-reference IC-LoRA into your diffusion model workflow. This node allows you to apply regular LoRA weights to a diffusion model while simultaneously extracting learned reference-slot embeddings. These embeddings are crucial for maintaining identity and scene consistency across different reference images, making it an essential tool for artists looking to enhance their AI-generated art with consistent stylistic elements. By using this node, you can bypass the need for additional packages, as it replicates the functionality of the ComfyUI-LTX2.5-MSR loader, ensuring seamless integration and ease of use.

LTX25 IC-LoRA Loader (MSR) Input Parameters:

model

This parameter represents the LTX2.5 diffusion model to which the LoRA is applied. It serves as the base model that will be modified by the LoRA weights, allowing you to influence the model's output style and characteristics. The model parameter is crucial as it determines the starting point for the LoRA's influence.

lora_name

The lora_name parameter specifies the MSR multi-reference LoRA checkpoint from your loras folder. This parameter allows you to select the specific LoRA configuration you wish to apply to your model. By choosing different LoRA checkpoints, you can experiment with various stylistic influences and effects on your diffusion model's output.

strength_model

This parameter controls the intensity with which the regular LoRA weights affect the model. It is a floating-point value with a default of 1.0, a minimum of -100.0, and a maximum of 100.0, adjustable in increments of 0.01. The strength_model parameter allows you to fine-tune the balance between the original model's characteristics and the stylistic influence of the LoRA, providing flexibility in achieving the desired artistic effect.

LTX25 IC-LoRA Loader (MSR) Output Parameters:

model

The model output parameter represents the diffusion model with the LoRA's regular weights applied. This modified model serves as the basis for generating AI art with the stylistic influences introduced by the LoRA, allowing you to create unique and consistent visual outputs.

msr_parameters

The msr_parameters output provides the reference-slot parameters for the LTX25 Reference Params node. These parameters are essential for encoding reference images into guide latents, ensuring that identity and scene consistency are maintained across independently sampled chunks. This output is compatible with the ComfyUI-LTX2.5-MSR IC-LoRA Loader, facilitating seamless integration into your workflow.

LTX25 IC-LoRA Loader (MSR) Usage Tips:

  • Experiment with different lora_name options to explore various stylistic influences and find the one that best suits your artistic vision.
  • Adjust the strength_model parameter to fine-tune the balance between the original model's characteristics and the LoRA's stylistic influence, allowing for greater control over the final output.

LTX25 IC-LoRA Loader (MSR) Common Errors and Solutions:

Error: "LoRA checkpoint not found"

  • Explanation: This error occurs when the specified lora_name does not match any available checkpoints in your loras folder.
  • Solution: Ensure that the lora_name parameter is correctly set to a valid checkpoint name from your loras folder. Double-check the spelling and availability of the checkpoint.

Error: "Invalid strength_model value"

  • Explanation: This error arises when the strength_model parameter is set outside the allowed range of -100.0 to 100.0.
  • Solution: Adjust the strength_model value to fall within the specified range, ensuring it is a valid floating-point number between -100.0 and 100.0.

LTX25 IC-LoRA Loader (MSR) Related Nodes

Go back to the extension to check out more related nodes.
Comfyui-MMH3-UltimateUpscale
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