ComfyUI Node: ✒️ Text to Image Generator

✒️ Text to Image Generator:

The Text to Image Generator node is designed to transform textual input into visually appealing images by overlaying the text onto selected images. This node is particularly useful for creating dynamic and customized visual content, such as memes, social media posts, or any other graphic design that requires text integration. It supports various text formatting options, including different fonts, colors, and text effects like borders and shadows. Additionally, it can handle structured text inputs, allowing for precise control over the text placement and appearance across multiple frames, making it ideal for creating animations or sequences of images with consistent text styling.

✒️ Text to Image Generator Input Parameters:

frame_count

This parameter specifies the number of frames to be generated. It determines how many images will be created in the sequence. The value should be a positive integer, with a minimum value of 1. The default value is typically set based on the specific use case or project requirements.

canvas

The canvas parameter is a dictionary that contains settings related to the image canvas. It includes sub-parameters like images, which is a list of input images to be used as backgrounds, and line_spacing, which controls the spacing between lines of text. The images list should have a length equal to frame_count, and if not provided, the node will generate blank canvases. The line_spacing is a float value that adjusts the vertical space between lines of text.

transcription

This optional parameter allows you to provide a transcription text that will be formatted and used as the input text for the image generation. If provided, it overrides the text parameter. The transcription text should be a string.

text

The text parameter is the primary input text to be overlaid on the images. It can be a simple string or a structured format where each line specifies the text for a particular frame. If the text is structured, it should follow the format frame_number: text, where frame_number is an integer and text is the string to be displayed.

skip_first_frames

This optional parameter specifies the number of initial frames to skip when processing structured text input. It is an integer value, and the default is 0, meaning no frames are skipped.

✒️ Text to Image Generator Output Parameters:

image_batch

The image_batch output is a tensor containing the generated images with the overlaid text. Each image in the batch corresponds to a frame, and the tensor format allows for easy manipulation and further processing in AI workflows. The images are returned as a batch to facilitate batch processing and integration with other nodes or systems.

formatted_transcription

This output provides the formatted transcription text used in the image generation process. It is a string that reflects the final text layout and formatting applied to the images. This can be useful for verification, debugging, or further text processing tasks.

✒️ Text to Image Generator Usage Tips:

• Ensure that the frame_count matches the number of images provided in the canvas parameter to avoid inconsistencies.
• Use the line_spacing parameter to adjust the readability of multiline text, especially when dealing with dense text blocks.
• When using structured text input, double-check the format to ensure each line follows the frame_number: text pattern for accurate text placement.
• Experiment with different font and color settings to achieve the desired visual effect and enhance the overall aesthetic of the generated images.

✒️ Text to Image Generator Common Errors and Solutions:

"KeyError: 'frame_count'"

• Explanation: This error occurs when the frame_count parameter is not provided in the input.
• Solution: Ensure that the frame_count parameter is included in the input dictionary and is set to a positive integer value.

"TypeError: 'NoneType' object is not iterable"

• Explanation: This error may occur if the images list in the canvas parameter is not properly initialized or is set to None.
• Solution: Verify that the images list is correctly initialized and has the same length as the frame_count. If no images are provided, ensure that the list contains None values for each frame.

"ValueError: invalid literal for int() with base 10"

• Explanation: This error can happen if the structured text input does not follow the correct frame_number: text format.
• Solution: Check the structured text input to ensure that each line starts with a valid integer frame number followed by a colon and the text string.

"AttributeError: 'NoneType' object has no attribute 'resize'"

• Explanation: This error occurs when an input image is None and the node attempts to resize it.
• Solution: Ensure that all input images in the canvas parameter are valid image objects. If no images are provided, the node should handle the creation of blank canvases appropriately.