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Enhance images by removing visual noise for AI artists, improving composition and clarity.
The DeclutterNAID node is designed to enhance your images by removing unnecessary elements and visual noise, resulting in a cleaner and more focused output. This node is particularly useful for AI artists who want to refine their generated images, making them more aesthetically pleasing and professional. By leveraging advanced algorithms, DeclutterNAID helps in isolating the main subjects of your images, thereby improving the overall composition and clarity. This tool is part of the NovelAI director tools, which are aimed at providing high-quality image augmentation capabilities.
This parameter accepts an image that you want to process. The image should be in a compatible format that the node can read and manipulate. The quality and resolution of the input image can affect the final output, so it's advisable to use high-quality images for the best results.
This is a boolean parameter that, when set to true, limits the processing to the free version of the Opus model. The default value is true. Limiting the Opus model can affect the quality and speed of the decluttering process, so you may want to disable this if you have access to the full version for better results.
This boolean parameter determines whether the node should ignore errors during the processing. The default value is false. Setting this to true can be useful if you want the node to continue processing even if it encounters minor issues, but it may result in less predictable outputs.
The output is an enhanced image with reduced visual noise and unnecessary elements removed. This cleaner image is more focused on the main subjects, making it more visually appealing and professional. The output image retains the original resolution and format, ensuring that the quality is maintained.
limit_opus_free
to false for improved processing quality.ignore_errors
parameter with caution; while it can help in continuing the process, it may lead to unpredictable results.limit_opus_free
to false if you have access to the full version, or try again later.ignore_errors
parameter to bypass minor issues, or check the input parameters and try again.© Copyright 2024 RunComfy. All Rights Reserved.