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Enhance and refine images using advanced AI models for digital artwork with ComfyUI integration.
The Replicate batouresearch_magic-image-refiner node is designed to enhance and refine images using advanced AI models hosted on the Replicate platform. This node leverages the power of machine learning to process and improve the quality of images, making it an invaluable tool for AI artists looking to elevate their digital artwork. By integrating seamlessly with the ComfyUI framework, it allows for easy input and output handling, ensuring that your images are processed efficiently and effectively. The node supports various image formats and can handle multiple images in a batch, providing flexibility and scalability for different artistic needs. Whether you are looking to enhance the details, adjust the colors, or apply specific artistic styles, this node offers a robust solution to refine your images with precision and ease.
This parameter accepts a list of images that you want to refine. The images should be in a format that can be processed by the node, such as PNG or JPEG. The node will convert these images to base64 format for processing. The quality and resolution of the input images can significantly impact the results, so it is recommended to use high-quality images for the best output.
This parameter determines the number of images to be processed in a single batch. The default value is 1, with a minimum of 1 and a maximum of 4096. Adjusting the batch size can help manage memory usage and processing time, especially when dealing with a large number of images.
The output of this node is a refined image or a batch of refined images. The images are returned in a tensor format, which can be further processed or saved as needed. The refined images will have enhanced details, improved color balance, and other refinements based on the specific AI model used.
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