ComfyUI Node: 📈 CSV Curve

CSV Curve [Dream]:

The CSV Curve [Dream] node is designed to read and interpret data from a CSV file to generate animation curves. This node allows you to create dynamic animations by mapping values from a CSV file to specific frames or seconds in your animation timeline. By leveraging this node, you can achieve precise control over the animation parameters, ensuring smooth transitions and accurate value interpolations. The CSV Curve [Dream] node is particularly useful for animators and AI artists who need to synchronize their animations with external data sources, providing a seamless way to integrate CSV-based data into their creative workflows.

CSV Curve [Dream] Input Parameters:

csvfile

This parameter specifies the path to the CSV file that contains the data for the animation curve. The CSV file should have two columns, where the first column represents either time in seconds or frame numbers, and the second column represents the corresponding values. The default value is an empty string, and it does not support multiline input.

first_column_type

This parameter determines the type of data in the first column of the CSV file. It can be set to either "seconds" or "frames". If set to "seconds", the first column values are interpreted as time in seconds. If set to "frames", the first column values are interpreted as frame numbers. This setting is crucial for correctly mapping the CSV data to the animation timeline.

interpolate

This parameter specifies whether to interpolate between the values in the CSV file. It can be set to "true" or "false". If set to "true", the node will interpolate between the values to create smooth transitions. If set to "false", the node will use the exact values from the CSV file without interpolation. Interpolation is useful for creating smoother animations.

csv_dialect

This parameter defines the CSV dialect to be used when reading the CSV file. The available options are the dialects listed by the csv.list_dialects() function. The CSV dialect determines how the CSV file is parsed, including the delimiter, quote character, and other formatting details. Choosing the correct dialect is important for accurately reading the CSV file.

CSV Curve [Dream] Output Parameters:

FLOAT

This output parameter represents the interpolated or exact value from the CSV file at the current frame or time in seconds. The value is a floating-point number, which provides a high level of precision for animation curves.

INT

This output parameter represents the interpolated or exact value from the CSV file at the current frame or time in seconds, rounded to the nearest integer. This is useful for scenarios where integer values are required, such as frame counts or discrete steps in an animation.

CSV Curve [Dream] Usage Tips:

• Ensure your CSV file is correctly formatted with two columns, where the first column represents time or frames and the second column represents values.
• Use the "interpolate" parameter to create smooth transitions between values, which can enhance the visual quality of your animations.
• Select the appropriate "first_column_type" to ensure the CSV data is correctly mapped to your animation timeline.
• Verify the CSV dialect matches the format of your CSV file to avoid parsing errors.

CSV Curve [Dream] Common Errors and Solutions:

FileNotFoundError

• Explanation: The specified CSV file could not be found at the given path.
• Solution: Ensure the file path is correct and the file exists at the specified location.

ValueError: could not convert string to float

• Explanation: One or more values in the CSV file could not be converted to a float.
• Solution: Check the CSV file to ensure all values in the relevant columns are valid numbers.

csv.Error: unknown dialect

• Explanation: The specified CSV dialect is not recognized.
• Solution: Verify the dialect name and ensure it is one of the available options listed by csv.list_dialects().

IndexError: list index out of range

• Explanation: The CSV file does not have the expected number of columns.
• Solution: Ensure the CSV file has exactly two columns, with the first column representing time or frames and the second column representing values.