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Overlay text onto images for AI art projects, enhancing storytelling and creativity seamlessly.
The GR Text Overlay node is designed to allow you to overlay text onto images within your AI art projects. This node is particularly useful for adding annotations, captions, or any textual information directly onto your visual creations. By integrating text with your images, you can enhance the storytelling aspect of your artwork, provide context, or simply add a creative touch. The GR Text Overlay node is versatile and can be customized to fit various artistic needs, making it an essential tool for AI artists looking to combine visual and textual elements seamlessly.
This parameter allows you to input the text that you want to overlay on your image. The text can be multiline and supports dynamic prompts, giving you the flexibility to create complex and detailed annotations. The default value is an empty string, and there is no strict limit on the length of the text, allowing for extensive customization.
This parameter specifies the width of the text overlay area. It is an integer value with a default of 1024.0, and it can range from 0 to the maximum resolution supported by the system. Adjusting the width can help you control how the text fits within the image, ensuring that it is neither too cramped nor too spread out.
This parameter defines the height of the text overlay area. Similar to the width parameter, it is an integer value with a default of 1024.0, and it can range from 0 to the maximum resolution supported by the system. Properly setting the height ensures that the text is appropriately sized and positioned within the image.
This parameter represents the aesthetic score of the text overlay. It is a floating-point value with a default of 6.0, and it can range from 0.0 to 1000.0, with a step of 0.01. The aesthetic score can influence the visual appeal of the text overlay, allowing you to fine-tune its appearance to match your artistic vision.
This parameter is used to input the CLIP model, which is responsible for encoding the text. The CLIP model helps in tokenizing and encoding the text, ensuring that it is properly integrated with the image. This parameter is essential for the functioning of the GR Text Overlay node.
The output of the GR Text Overlay node is a conditioning parameter, which includes the encoded text and additional metadata such as the pooled output, aesthetic score, width, and height. This output is crucial for further processing and integration within your AI art pipeline, allowing you to seamlessly combine text and image elements.
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