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ComfyUI > Nodes > comfyui-anima-toolkit > TK 批量 LoRA 加载器

ComfyUI Node: TK 批量 LoRA 加载器

Class Name

TK Batch LoRA Loader

Category
TK/loaders
Author
Ararararararaki (Account age: 442days)
Extension
comfyui-anima-toolkit
Latest Updated
2026-09-16
Github Stars
0.03K

How to Install comfyui-anima-toolkit

Install this extension via the ComfyUI Manager by searching for comfyui-anima-toolkit
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfyui-anima-toolkit 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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TK 批量 LoRA 加载器 Description

Streamline loading multiple LoRA models for AI artists, enhancing efficiency and creativity in style application.

TK 批量 LoRA 加载器:

The TK Batch LoRA Loader is a specialized node designed to streamline the process of loading multiple LoRA (Low-Rank Adaptation) models into a diffusion model workflow. This node is particularly beneficial for AI artists who wish to apply various styles or modifications to their models by leveraging the power of LoRA models. By allowing the batch loading of LoRA models, it simplifies the workflow and enhances efficiency, enabling users to experiment with different styles and strengths without manually loading each model individually. The node integrates seamlessly with the visual editor, providing a user-friendly interface for managing LoRA tags and ensuring that the desired modifications are applied consistently across the model. Its primary goal is to facilitate the creative process by offering a robust and flexible tool for style application and model enhancement.

TK 批量 LoRA 加载器 Input Parameters:

model

The model parameter represents the diffusion model to which the LoRA modifications will be applied. It is a required input and serves as the base model that will be altered by the LoRA models. This parameter is crucial as it determines the starting point for any modifications and influences the final output based on the LoRA models applied.

lora_syntax

The lora_syntax parameter is a string input that allows users to specify the LoRA models and their respective weights in a structured format. The syntax follows the pattern ``lora:name:weight lora:name:weight ..., where each LoRA model is identified by its name and assigned a weight that determines its influence on the model. This parameter is essential for defining which LoRA models to load and how strongly they should affect the base model. The default value is an empty string, and it supports multiline input for ease of use.

clip

The clip parameter is an optional input that represents the CLIP model associated with the diffusion model. It is used in conjunction with the LoRA models to modify the text-to-image generation process. This parameter is important for users who wish to apply LoRA modifications that affect both the model and the CLIP components, ensuring a cohesive style application across the entire workflow.

output_trigger_words

The output_trigger_words parameter is a boolean input that controls whether trigger words associated with the activated LoRA models are outputted. When set to true, the node will output a string of trigger words that can be used to further refine the model's behavior. This parameter is useful for users who want to maintain a record of the active LoRA models and their corresponding trigger words, aiding in the reproducibility and documentation of the creative process. The default value is true, meaning trigger words are outputted by default.

TK 批量 LoRA 加载器 Output Parameters:

MODEL

The MODEL output parameter represents the modified diffusion model after the application of the specified LoRA models. This output is crucial as it reflects the cumulative effect of all the loaded LoRA models, providing users with a model that incorporates the desired styles and modifications.

CLIP

The CLIP output parameter represents the modified CLIP model, if applicable, after the LoRA models have been applied. This output is important for users who are working with text-to-image generation, as it ensures that the CLIP model is aligned with the modifications made to the diffusion model, resulting in a consistent and cohesive output.

trigger_words

The trigger_words output parameter is a string that contains the trigger words associated with the activated LoRA models. This output is valuable for users who wish to document or utilize these trigger words in subsequent processes, as it provides a clear record of the modifications applied and their corresponding influences.

TK 批量 LoRA 加载器 Usage Tips:

  • Ensure that the lora_syntax is correctly formatted to avoid errors in loading the LoRA models. Use the placeholder format <lora:name:weight> for each model.
  • Utilize the output_trigger_words parameter to keep track of the active LoRA models and their effects, which can be helpful for documentation and reproducibility.
  • Experiment with different weights in the lora_syntax to achieve the desired balance of styles and modifications in your model.

TK 批量 LoRA 加载器 Common Errors and Solutions:

LoRA not found: <name>

  • Explanation: This error occurs when the specified LoRA model cannot be located in the system.
  • Solution: Verify that the LoRA model name is correct and that the model is available in the designated directory.

Failed to load <name>: <error_message>

  • Explanation: This error indicates that there was an issue loading the specified LoRA model, possibly due to file corruption or incompatibility.
  • Solution: Check the integrity of the LoRA model file and ensure it is compatible with the current system setup. Re-download or regenerate the model if necessary.

TK 批量 LoRA 加载器 Related Nodes

Go back to the extension to check out more related nodes.
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TK 批量 LoRA 加载器