ComfyUI Node: Primere Visual LYCORIS Selector

Primere Visual LYCORIS Selector:

PrimereVisualLYCORIS is a versatile node designed to enhance your AI art projects by allowing you to stack and manage multiple LYCORIS models effectively. This node provides a streamlined way to combine different LYCORIS models, adjust their weights, and apply specific keywords to influence the final output. By leveraging this node, you can achieve more nuanced and sophisticated visual results, making it an essential tool for AI artists looking to push the boundaries of their creative projects. The primary function of this node is to facilitate the stacking of LYCORIS models, enabling you to fine-tune the visual characteristics of your generated images with precision and ease.

Primere Visual LYCORIS Selector Input Parameters:

model

This parameter represents the base model you are working with. It serves as the foundation upon which the LYCORIS models will be stacked. The choice of the base model can significantly impact the final output, so select one that aligns with your creative goals.

clip

This parameter refers to the CLIP (Contrastive Language-Image Pretraining) model used in conjunction with the base model. The CLIP model helps in understanding and generating images based on textual descriptions, enhancing the overall quality and relevance of the output.

use_only_model_weight

This boolean parameter determines whether only the model weight should be used in the stacking process. If set to True, only the model weight will influence the final output, ignoring other factors like CLIP weight. The default value is False.

use_lycoris_keyword

This boolean parameter allows you to enable or disable the use of LYCORIS keywords in the stacking process. When enabled, specific keywords can be applied to influence the visual characteristics of the output. The default value is False.

lycoris_keyword_placement

This parameter specifies where the LYCORIS keywords should be placed in the stacking process. You can choose between "First" and "Last," with the default being "Last." This placement can affect how strongly the keywords influence the final output.

lycoris_keyword_selection

This parameter determines how the LYCORIS keywords are selected. You can choose between "Select in order" and "Random select," with the default being "Select in order." This selection method can impact the variability and creativity of the generated images.

lycoris_keywords_num

This integer parameter specifies the number of LYCORIS keywords to be used. The default value is 1, with a minimum of 1 and a maximum of 50. Adjusting this number allows you to control the complexity and diversity of the visual output.

lycoris_keyword_weight

This float parameter sets the weight of the LYCORIS keywords in the stacking process. The default value is 1.0, with a range from 0 to 10.0 and a step of 0.1. Higher weights will make the keywords have a more significant impact on the final image.

stack_version

This parameter allows you to specify the version of the stack to be used. The default value is "Any," which means any available version can be used. This flexibility can be useful for experimenting with different stack configurations.

model_version

This parameter specifies the version of the base model to be used. The default value is "BaseModel_1024," which is a standard version. Choosing different versions can affect the resolution and quality of the final output.

Primere Visual LYCORIS Selector Output Parameters:

MODEL

This output parameter represents the final stacked model, which combines the base model and the selected LYCORIS models. This model can be used for further image generation tasks.

CLIP

This output parameter provides the CLIP model used in the stacking process. It can be used to understand the textual descriptions and enhance the relevance of the generated images.

LYCORIS_STACK

This output parameter represents the stack of LYCORIS models used in the process. It provides a detailed view of how the models were combined and their respective weights.

LYCORIS_KEYWORD

This output parameter provides the keywords used in the stacking process. It helps in understanding the influence of specific keywords on the final output.

Primere Visual LYCORIS Selector Usage Tips:

• Experiment with different base models to see how they affect the final output. The choice of the base model can significantly impact the visual characteristics of the generated images.
• Adjust the lycoris_keyword_weight to fine-tune the influence of keywords on the final output. Higher weights will make the keywords have a more significant impact.
• Use the lycoris_keyword_selection parameter to introduce variability in your generated images. Random selection can lead to more creative and unexpected results.

Primere Visual LYCORIS Selector Common Errors and Solutions:

"Invalid model version specified"

• Explanation: The specified model version is not available or does not exist.
• Solution: Check the available model versions and ensure you are using a valid one. Update the model_version parameter accordingly.

"LYCORIS stack version not found"

• Explanation: The specified stack version is not available.
• Solution: Ensure that the stack_version parameter is set to a valid version. If unsure, use the default value "Any."

"Keyword weight out of range"

• Explanation: The specified keyword weight is outside the allowed range.
• Solution: Adjust the lycoris_keyword_weight parameter to be within the range of 0 to 10.0.

"Number of keywords exceeds limit"

• Explanation: The specified number of keywords exceeds the maximum limit.
• Solution: Reduce the lycoris_keywords_num parameter to be within the range of 1 to 50.