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Specialized node for AI artists to generate intricate image prompts with weighted layers for control over artistic style and composition, including randomization and seed control.
The EGIPAdapter_Mad_AssistantV1 is a specialized node designed to assist AI artists in generating intricate and customized prompts for image generation tasks. This node leverages a series of weighted layers to fine-tune the input parameters, allowing for a high degree of control over the resulting output. By adjusting these weights, you can influence the artistic style, composition, and other visual elements of the generated images. The node also includes options for randomization and seed control, providing flexibility and repeatability in your creative process. Overall, the EGIPAdapter_Mad_AssistantV1 aims to enhance your ability to produce unique and high-quality AI-generated art by offering a robust set of customization tools.
This parameter controls the weight of the first layer in the image generation process. Adjusting this weight influences the contribution of the first layer to the final output. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to fine-tune this setting.
This parameter controls the weight of the second layer. Similar to the first layer, adjusting this weight affects the second layer's impact on the final image. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to adjust this setting.
This parameter controls the weight of the third layer. Modifying this weight will change how much the third layer influences the final output. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to adjust this setting.
This parameter controls the weight of the fourth layer. Adjusting this weight will affect the fourth layer's contribution to the final image. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to fine-tune this setting.
This parameter controls the weight of the fifth layer. Changing this weight will influence the fifth layer's impact on the final output. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to adjust this setting.
This parameter controls the weight of the sixth layer. Adjusting this weight will affect the sixth layer's contribution to the final image. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to fine-tune this setting.
This parameter controls the weight of the seventh layer. Modifying this weight will change how much the seventh layer influences the final output. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to adjust this setting.
This parameter controls the weight of the eighth layer. Adjusting this weight will affect the eighth layer's contribution to the final image. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to fine-tune this setting.
This parameter controls the weight of the ninth layer. Changing this weight will influence the ninth layer's impact on the final output. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to adjust this setting.
This parameter controls the weight of the tenth layer. Adjusting this weight will affect the tenth layer's contribution to the final image. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to fine-tune this setting.
This parameter controls the weight of the eleventh layer. Modifying this weight will change how much the eleventh layer influences the final output. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to adjust this setting.
This parameter controls the weight of the twelfth layer. Adjusting this weight will affect the twelfth layer's contribution to the final image. The value ranges from -1.0 to 1.0, with a default of 0.0. Use the slider to fine-tune this setting.
This parameter allows you to enable or disable randomization in the image generation process. The options are "Yes" or "No," with the default set to "No." Enabling randomization can introduce variability and uniqueness to your outputs.
This parameter sets the seed value for the random number generator. It allows for repeatability in your image generation process. The value ranges from -1125899906842624 to 1125899906842624, with a default of 0. Setting a specific seed ensures that you can reproduce the same output in future runs.
This output parameter returns a string representation of the weights assigned to each layer. It provides a summary of the configuration used in the image generation process, which can be useful for documentation or further analysis.
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