ComfyUI Node: Load LoRA INT8 (Stochastic)

Load LoRA INT8 (Stochastic):

The INT8LoraLoader is a specialized node designed to integrate LoRA (Low-Rank Adaptation) models into INT8 quantized neural networks using ComfyUI's native patching system. This node is particularly beneficial for users who need to apply LoRA models in a memory-efficient manner without compromising on precision. By leveraging stochastic rounding, the INT8LoraLoader ensures that the quality of the model is preserved while avoiding RAM bloat, making it an ideal choice for applications where computational resources are limited. The node is compatible with INT8 quantized layers, utilizing convert_weight and set_weight hooks to seamlessly integrate LoRA models into existing workflows. This capability allows for non-sticky, stackable LoRA applications, providing flexibility and efficiency in model deployment.

Load LoRA INT8 (Stochastic) Input Parameters:

model

This parameter represents the base model into which the LoRA will be loaded. It is essential as it serves as the foundation for the LoRA integration, allowing the node to apply the low-rank adaptation to enhance or modify the model's capabilities.

lora_name

The lora_name parameter specifies the name of the LoRA model to be loaded. It is selected from a list of available LoRA models, which are typically stored in a designated folder. This parameter is crucial as it determines which LoRA model will be applied to the base model, influencing the resulting model's behavior and performance.

strength

The strength parameter controls the intensity of the LoRA application on the base model. It is a floating-point value with a default of 1.0, a minimum of -10.0, and a maximum of 10.0, adjustable in increments of 0.01. This parameter allows you to fine-tune the influence of the LoRA model, enabling subtle or pronounced modifications to the base model's output, depending on the desired outcome.

Load LoRA INT8 (Stochastic) Output Parameters:

MODEL

The output of the INT8LoraLoader is a modified model, denoted as MODEL. This output represents the base model with the LoRA applied, reflecting the changes specified by the input parameters. The resulting model maintains high precision in the INT8 space, ensuring that the quality and performance are preserved while benefiting from the LoRA's enhancements.

Load LoRA INT8 (Stochastic) Usage Tips:

• Adjust the strength parameter carefully to achieve the desired level of influence from the LoRA model. A higher strength can lead to more significant changes, while a lower strength allows for subtle adjustments.
• Ensure that the lora_name corresponds to a compatible LoRA model for your base model to avoid compatibility issues and ensure optimal performance.

Load LoRA INT8 (Stochastic) Common Errors and Solutions:

Error: "LoRA model not found"

• Explanation: This error occurs when the specified lora_name does not match any available LoRA models in the designated folder.
• Solution: Verify that the lora_name is correct and corresponds to an existing LoRA model. Check the folder paths to ensure the model is available.

Error: "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 value to fall within the specified range, ensuring it is between -10.0 and 10.0, inclusive.