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ComfyUI > Nodes > ComfyUI-QuantizationToolkit > LoRA Stack Entry (Quantized)

ComfyUI Node: LoRA Stack Entry (Quantized)

Class Name

QuantizedLoraConfig

Category
loaders
Author
SparknightLLC (Account age: 725days)
Extension
ComfyUI-QuantizationToolkit
Latest Updated
2026-08-04
Github Stars
0.05K

How to Install ComfyUI-QuantizationToolkit

Install this extension via the ComfyUI Manager by searching for ComfyUI-QuantizationToolkit
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-QuantizationToolkit 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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LoRA Stack Entry (Quantized) Description

Configure LoRA for quantized AI models with precise control over path and strength for enhanced performance and efficiency.

LoRA Stack Entry (Quantized):

The QuantizedLoraConfig node is designed to configure a single LoRA (Low-Rank Adaptation) for use in a quantized environment without the need to load or modify the underlying model. This node is particularly useful for AI artists who want to apply specific LoRA configurations to their models in a quantized format, which can enhance performance and efficiency. By using this node, you can specify the path and strength of a LoRA, allowing for precise control over how the LoRA influences the model's behavior. This is especially beneficial in scenarios where you want to experiment with different LoRA settings to achieve desired artistic effects without altering the core model.

LoRA Stack Entry (Quantized) Input Parameters:

path

The path parameter specifies the location of the LoRA file relative to ComfyUI's loras folder. This parameter is crucial as it tells the node where to find the LoRA file that you wish to configure. The available options for this parameter are dynamically generated based on the files present in the loras directory. By selecting the correct path, you ensure that the node can access and apply the desired LoRA configuration.

strength

The strength parameter determines the intensity of the LoRA's effect on the model. It is a floating-point value that can range from -10.0 to 10.0, with a default value of 1.0. This parameter allows you to fine-tune the influence of the LoRA, where a value of 0 effectively disables the LoRA. Adjusting the strength can help you achieve the right balance in your model's output, making it a powerful tool for customizing the artistic style or behavior of your model.

LoRA Stack Entry (Quantized) Output Parameters:

lora

The lora output parameter represents the configured LoRA specification that is ready to be applied to a model. This output is crucial as it encapsulates the path and strength settings you have defined, allowing other nodes or processes to utilize this configuration in a quantized model environment. By providing this output, the node facilitates the seamless integration of LoRA configurations into your workflow, enabling you to experiment with different settings and observe their effects on your model's output.

LoRA Stack Entry (Quantized) Usage Tips:

  • Ensure that the path parameter is correctly set to the desired LoRA file within the loras folder to avoid configuration errors.
  • Experiment with different strength values to find the optimal setting that achieves your desired artistic effect without overpowering the model's original characteristics.
  • Use a strength of 0 if you want to temporarily disable the LoRA without removing the configuration from your setup.

LoRA Stack Entry (Quantized) Common Errors and Solutions:

"LoRA file not found"

  • Explanation: This error occurs when the specified path does not correspond to an existing file in the loras folder.
  • Solution: Verify that the file exists in the loras directory and that the path parameter is correctly set to the file's name.

"Invalid strength value"

  • Explanation: This error arises when the strength parameter is set outside the allowed range of -10.0 to 10.0.
  • Solution: Adjust the strength parameter to be within the valid range, ensuring it is a floating-point number between -10.0 and 10.0.

LoRA Stack Entry (Quantized) Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-QuantizationToolkit
RunComfy
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RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

LoRA Stack Entry (Quantized)