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Facilitates loading LoRA models for AI art generation, enhancing flexibility and customization of outputs.
The LoraLoader (dirty) node is designed to facilitate the loading of LoRA (Low-Rank Adaptation) models into your AI art generation workflow. This node allows you to dynamically load and apply LoRA models to both the main model and the CLIP model, enhancing the flexibility and customization of your AI-generated art. By adjusting the strength parameters, you can control the influence of the LoRA model on your outputs, enabling fine-tuning and experimentation with different artistic styles and effects. This node is particularly useful for AI artists looking to incorporate specific LoRA models into their projects without manually handling file paths and loading processes.
This parameter represents the main AI model to which the LoRA model will be applied. It is essential for the node to function as it provides the base model that will be modified by the LoRA adjustments.
This parameter represents the CLIP model, which is used for text-to-image generation tasks. The LoRA model can also be applied to the CLIP model to adjust its behavior and improve the coherence between text prompts and generated images.
This is a string parameter that specifies the name of the LoRA model to be loaded. The node will search for a matching filename in the designated LoRA folder. The default value is an empty string, indicating that no specific LoRA model is selected by default.
This float parameter controls the strength of the LoRA model's influence on the main model. It ranges from -10.0 to 10.0, with a default value of 1.0. Adjusting this parameter allows you to fine-tune the impact of the LoRA model on the generated outputs.
This float parameter controls the strength of the LoRA model's influence on the CLIP model. Similar to strength_model
, it ranges from -10.0 to 10.0, with a default value of 1.0. This parameter helps in balancing the effect of the LoRA model on the text-to-image generation process.
This output parameter represents the modified main model after the LoRA adjustments have been applied. It reflects the changes made by the LoRA model based on the specified strength.
This output parameter represents the modified CLIP model after the LoRA adjustments have been applied. It shows the impact of the LoRA model on the text-to-image generation process, influenced by the specified strength.
lora_name
parameter matches the exact name of the LoRA model file in the designated folder to avoid loading errors.strength_model
and strength_clip
to achieve the desired artistic effect. Start with small adjustments to understand their impact.<lora_name>
' not found.lora_name
parameter matches the exact filename of the LoRA model, including the correct file extension.strength_model
or strength_clip
are outside the allowed range of -10.0 to 10.0.model
or clip
parameter is not provided, which is essential for the node to function.model
and clip
parameters are correctly specified before executing the node.© Copyright 2024 RunComfy. All Rights Reserved.