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ZImageModelLayerEditor: Enables granular control over Z-Image model layers for customized AI art.
The ZImageModelLayerEditor is a powerful node designed for AI artists to gain granular control over the layers of a Z-Image model. This node allows you to manipulate the model's processing blocks, which are divided into three main stages: early processing (layers 0-9), mid processing (layers 10-19), and late processing (layers 20-29). Each stage contributes differently to the image generation process, with early layers focusing on structure, mid layers on feature development, and late layers on adding details. By providing per-block control, the ZImageModelLayerEditor enables you to fine-tune the model's behavior, enhancing or diminishing the influence of specific layers to achieve desired artistic effects. This capability is particularly beneficial for customizing the output of AI-generated images, allowing for creative experimentation and precise adjustments to the model's output.
This parameter determines which layers of the Z-Image model are active during processing. You can choose to enable all layers, specific layers, or none at all. The options include a list of layer identifiers such as layer_0, layer_1, ..., layer_29, and other. The default setting is "ALL", which means all layers are enabled. Adjusting this parameter allows you to control the contribution of each layer to the final image, enabling creative control over the model's output.
The strength parameter controls the intensity of the effect each enabled layer has on the final image. It is a floating-point value typically ranging from 0.0 to 1.0, where 0.0 means no effect and 1.0 means full effect. The default value is 1.0, indicating that the layers operate at their full potential. By modifying this parameter, you can fine-tune the influence of the layers, allowing for subtle or dramatic changes in the image's appearance.
This output parameter represents the Z-Image model after the specified layers have been adjusted according to the input parameters. It reflects the changes made to the model's layer configuration and strength settings, providing a customized version of the model that can be used for generating images with the desired characteristics.
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