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Fine-tune AI art generation steps for optimal results with precise control over precondition, base, and total steps.
The SDXL Steps (WLSH) node is designed to help you manage and configure the number of steps involved in your AI art generation process. This node allows you to set specific values for precondition, base, and total steps, providing you with fine-grained control over the iterative process of generating images. By adjusting these parameters, you can influence the quality, detail, and overall outcome of your generated artwork. This node is particularly useful for artists who want to experiment with different step configurations to achieve optimal results in their creative projects.
The precondition
parameter sets the number of initial steps that are used to prepare the model before the main generation process begins. This can help in stabilizing the model and ensuring that the subsequent steps produce higher quality results. The minimum value is 1, the maximum value is 10000, and the default value is 3.
The base
parameter defines the number of base steps that the model will use during the main generation phase. These steps are crucial for building the foundational elements of the image. The minimum value is 1, the maximum value is 10000, and the default value is 12.
The total
parameter specifies the total number of steps that the model will execute, including both the precondition and base steps. This parameter directly impacts the level of detail and refinement in the final image. The minimum value is 1, the maximum value is 10000, and the default value is 20.
The pre
output parameter returns the value of the precondition steps that were set. This value is important for understanding how many initial steps were used to prepare the model before the main generation process.
The base
output parameter returns the value of the base steps that were set. This value helps you understand the number of steps used during the main generation phase, which is crucial for building the foundational elements of the image.
The total
output parameter returns the value of the total steps that were set. This value is essential for understanding the overall number of steps executed, which directly impacts the level of detail and refinement in the final image.
precondition
, base
, and total
values to find the optimal configuration for your specific project. Higher values may result in more detailed images but will also increase the processing time.pre
and base
outputs to analyze the impact of different step configurations on your final image, allowing you to make more informed adjustments in future iterations.precondition
, base
, or total
) is set to a value outside the allowed range.total
steps value is less than the sum of precondition
and base
steps.total
steps value is greater than or equal to the sum of precondition
and base
steps. Adjust the values to meet this requirement.© Copyright 2024 RunComfy. All Rights Reserved.