ComfyUI Node: TEEDPreprocessor

TEEDPreprocessor:

The TEEDPreprocessor node is designed to extract soft-edge lines from images, making it an essential tool for AI artists who want to enhance their artwork with refined line details. This node leverages the TEDDetector model to process images and generate high-quality line extractions. By using this preprocessor, you can achieve a more polished and professional look in your digital art, as it helps in highlighting the intricate line work that might otherwise be lost. The TEEDPreprocessor is particularly useful for creating line art from complex images, ensuring that the lines are smooth and well-defined.

TEEDPreprocessor Input Parameters:

safe_steps

The safe_steps parameter controls the number of safety steps applied during the line extraction process. This parameter helps in refining the output by reducing noise and ensuring smoother lines. The default value is 2, with a minimum of 0 and a maximum of 10. Increasing the safe_steps value can lead to cleaner and more precise lines, but it may also increase the processing time.

TEEDPreprocessor Output Parameters:

IMAGE

The output of the TEEDPreprocessor node is an IMAGE that contains the extracted soft-edge lines. This output is crucial for artists who want to incorporate detailed line work into their projects. The resulting image will have enhanced line clarity and smoothness, making it easier to use as a base for further artistic enhancements or as a standalone piece.

TEEDPreprocessor Usage Tips:

• To achieve the best results, start with the default safe_steps value and gradually increase it if you notice any noise or rough edges in the extracted lines.
• Use high-resolution images as input to ensure that the line extraction process captures all the fine details accurately.
• Experiment with different safe_steps values to find the optimal balance between processing time and line quality for your specific project.

TEEDPreprocessor Common Errors and Solutions:

Error: "Model loading failed"

• Explanation: This error occurs when the TEDDetector model cannot be loaded, possibly due to missing files or incorrect paths.
• Solution: Ensure that the model files are correctly placed in the expected directory and that the paths are correctly specified in the code.

Error: "Image resolution too low"

• Explanation: This error indicates that the input image resolution is too low for effective line extraction.
• Solution: Use a higher resolution image to ensure that the line extraction process can capture all the necessary details.

Error: "Invalid safe_steps value"

• Explanation: This error occurs when the safe_steps parameter is set to a value outside the allowed range (0-10).
• Solution: Adjust the safe_steps value to be within the specified range, ensuring it is between 0 and 10.