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Generate animated image sequences from text data for dynamic visual representation with customizable text-to-image conversion options.
The Text_Image_Frame_Zho
node is designed to generate a sequence of images from text, incrementing the text content in each frame. This node is particularly useful for creating animated sequences or visual representations of changing numerical data. By converting text to images, it allows for a wide range of customization options, including font selection, alignment, wrapping, font size, image dimensions, color, and outline settings. The primary goal of this node is to facilitate the creation of visually appealing and contextually relevant image sequences from text data, making it a valuable tool for AI artists looking to incorporate dynamic text elements into their projects.
This parameter represents the starting number for the text content that will be converted into images. It is an integer value that will be incremented by the step
parameter for each subsequent frame. The initial value of number
determines the starting point of the sequence.
This parameter allows you to choose the font style for the text. The selected font will be used to render the text in each frame. The choice of font can significantly impact the visual appeal and readability of the text in the generated images.
This parameter specifies the alignment of the text within the image. Options typically include left, center, and right alignment. Proper alignment ensures that the text is positioned correctly within the image, enhancing its visual presentation.
This parameter controls whether the text should wrap within the image boundaries. If enabled, long text will be wrapped to fit within the specified width of the image. This is useful for ensuring that the text remains readable and does not overflow the image boundaries.
This parameter sets the size of the font used to render the text. The font size directly affects the readability and prominence of the text in the image. It is important to choose an appropriate font size to ensure that the text is neither too small nor too large.
This parameter defines the width of the generated image. It is an integer value that determines the horizontal dimension of the image. The width should be chosen based on the amount of text and the desired layout of the image.
This parameter defines the height of the generated image. It is an integer value that determines the vertical dimension of the image. The height should be chosen based on the amount of text and the desired layout of the image.
This parameter specifies the color of the text. It can be set to any valid color value, such as a hex code or an RGB value. The color choice can enhance the visual appeal and ensure that the text stands out against the background.
This parameter sets the size of the outline around the text. The outline can help improve the readability of the text, especially when the text color is similar to the background color. The outline size should be chosen to provide sufficient contrast without overwhelming the text.
This parameter specifies the color of the outline around the text. It can be set to any valid color value. The outline color should be chosen to complement the text color and enhance the overall readability of the text.
This parameter defines the horizontal margin around the text within the image. It is an integer value that determines the space between the text and the left and right edges of the image. Proper margins ensure that the text is not too close to the image boundaries.
This parameter defines the vertical margin around the text within the image. It is an integer value that determines the space between the text and the top and bottom edges of the image. Proper margins ensure that the text is not too close to the image boundaries.
This parameter is a boolean value that determines whether the text and outline colors should be swapped. If enabled, the text color and outline color will be interchanged, providing a different visual effect. This can be useful for creating variations in the generated images.
This output parameter is a tensor containing the concatenated sequence of images generated from the text. Each image in the sequence corresponds to a frame, with the text content incremented according to the step
parameter. The output tensor can be used for further processing or directly as an input to other nodes in your workflow.
step
parameter is set to an appropriate value that provides a gradual change in the text content.wrap
parameter to handle long text content, ensuring that it fits within the image boundaries without overflowing.margin_x
and margin_y
parameters to provide sufficient spacing around the text, preventing it from being too close to the edges of the image.selected_font
parameter is not available.color
or outline_color
parameter is not valid.#FFFFFF
for white) or an RGB value (e.g., rgb(255, 255, 255)
for white).width
and height
parameters to provide sufficient space for the text.wrap
parameter to ensure that long text is wrapped within the image boundaries.© Copyright 2024 RunComfy. All Rights Reserved.