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Streamlined node for creating XY plots with minimal complexity, automating tasks for easy visualization by AI artists.
D2 XY Plot Easy Mini is a streamlined version of the D2 XY Plot Easy node, designed to facilitate the creation of XY plots with minimal complexity. This node is particularly useful for AI artists who want to visualize data or parameters in a two-dimensional grid format without delving into intricate configurations. It simplifies the process of generating plots by automating many of the underlying tasks, allowing you to focus on the creative aspects of your work. The node is capable of handling various data types and can apply transformations to the input data, making it versatile for different plotting needs. Its primary goal is to provide an easy-to-use interface for generating plots, making it accessible even to those with limited technical knowledge.
This parameter represents the positive prompt that will be applied to the plot. It is used to enhance or emphasize certain aspects of the data being visualized. The positive prompt can be a string that influences the output in a favorable direction, helping to highlight key features or trends in the plot.
The negative parameter is used to apply a negative prompt to the plot, which can help in reducing or downplaying certain elements of the data. This can be useful for minimizing noise or unwanted features in the visualization, allowing for a clearer focus on the important aspects of the data.
This parameter specifies the name of the checkpoint to be used in the plotting process. It is crucial for determining the model or dataset that the plot will be based on, ensuring that the correct data is visualized.
The seed parameter is used to initialize the random number generator, ensuring reproducibility of the plot. By setting a specific seed value, you can generate the same plot multiple times, which is useful for consistency in presentations or comparisons.
This parameter defines the number of steps to be taken in the plotting process. It affects the resolution or granularity of the plot, with more steps resulting in a finer, more detailed visualization.
The cfg parameter stands for configuration and is used to adjust the settings of the plot. It can influence various aspects of the visualization, such as color schemes, axis labels, and other stylistic elements.
This parameter specifies the name of the sampler to be used in the plotting process. The sampler determines how the data points are selected or sampled for visualization, affecting the overall appearance and accuracy of the plot.
The scheduler parameter is used to control the timing or sequence of events in the plotting process. It can be used to automate certain tasks or to ensure that the plot is generated in a specific order.
This parameter is used to apply a denoising filter to the plot, which can help in reducing noise or unwanted variations in the data. It is particularly useful for creating cleaner, more visually appealing plots.
The x_type parameter specifies the data type for the x-axis of the plot. It determines how the data will be interpreted and displayed along the horizontal axis, affecting the overall structure of the plot.
This parameter provides the list of values to be plotted along the x-axis. It is essential for defining the range and scale of the plot, ensuring that the data is accurately represented.
The y_type parameter specifies the data type for the y-axis of the plot. Similar to x_type, it determines how the data will be interpreted and displayed along the vertical axis.
This parameter provides the list of values to be plotted along the y-axis. It is crucial for defining the range and scale of the plot, ensuring that the data is accurately represented.
The auto_queue parameter is used to automate the queuing of tasks in the plotting process. It can help in streamlining the workflow, allowing for more efficient generation of plots.
This parameter specifies the starting index for the plotting process. It determines where the plot will begin, which can be useful for focusing on specific sections of the data.
The reset parameter is used to reset the plotting process, allowing you to start over or to clear previous settings. It is useful for making adjustments or corrections to the plot.
This parameter represents the current index in the plotting process. It is used to track progress and to ensure that the plot is generated in the correct sequence.
The remaining_time parameter provides an estimate of the time remaining for the plotting process to complete. It can be useful for planning and managing your workflow.
This parameter is used to initialize the random number generator for the XY plot, ensuring reproducibility of the visualization. By setting a specific xy_seed value, you can generate the same plot multiple times.
The progress_bar parameter is used to display a progress bar during the plotting process, providing a visual indication of the current status and remaining time.
The d2_pipe output parameter represents the data pipeline used in the plotting process. It contains all the necessary information and settings for generating the plot, ensuring that the data is processed correctly.
The grid_pipe output parameter represents the grid pipeline used in the plotting process. It is responsible for organizing the data into a grid format, which is essential for creating the XY plot.
This output parameter provides the final positive prompt applied to the plot. It reflects any transformations or adjustments made during the plotting process, ensuring that the desired emphasis is achieved.
The negative output parameter provides the final negative prompt applied to the plot. It reflects any transformations or adjustments made during the plotting process, ensuring that unwanted elements are minimized.
This output parameter provides the name of the checkpoint used in the plotting process. It confirms the model or dataset that the plot is based on, ensuring that the correct data is visualized.
The seed output parameter provides the final seed value used in the plotting process. It ensures reproducibility of the plot, allowing you to generate the same visualization multiple times.
This output parameter provides the final number of steps taken in the plotting process. It reflects the resolution or granularity of the plot, ensuring that the desired level of detail is achieved.
The cfg output parameter provides the final configuration settings used in the plotting process. It reflects any adjustments made to the plot's appearance or structure, ensuring that the desired style is achieved.
This output parameter provides the name of the sampler used in the plotting process. It confirms the method used for selecting or sampling data points, ensuring that the plot is accurate and representative.
The scheduler output parameter provides the final scheduling settings used in the plotting process. It reflects any automation or sequencing applied, ensuring that the plot is generated in the correct order.
This output parameter provides the final denoising settings used in the plotting process. It reflects any noise reduction applied, ensuring that the plot is clean and visually appealing.
The x_other output parameter provides additional information or settings related to the x-axis of the plot. It can include any transformations or adjustments made during the plotting process.
The y_other output parameter provides additional information or settings related to the y-axis of the plot. It can include any transformations or adjustments made during the plotting process.
This output parameter provides the final annotation applied to the x-axis of the plot. It reflects any labels or descriptions added during the plotting process, ensuring that the data is clearly represented.
The y_annotation output parameter provides the final annotation applied to the y-axis of the plot. It reflects any labels or descriptions added during the plotting process, ensuring that the data is clearly represented.
The status output parameter provides the current status of the plotting process. It can indicate whether the plot is in progress, completed, or if there are any issues that need to be addressed.
This output parameter provides the final index value used in the plotting process. It reflects the current position or progress in the sequence, ensuring that the plot is generated correctly.
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