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Specialized node for advanced tiled image sampling tasks without smooth steps or refiners, ideal for efficient processing of large images.
MikeySamplerTiledAdvancedBaseOnly is a specialized node designed for advanced image sampling tasks, particularly focusing on tiled sampling without the need for smooth steps or refiners. This node is ideal for scenarios where you need to process large images by breaking them into smaller tiles, ensuring efficient and high-quality sampling. The primary goal of this node is to provide a streamlined and optimized approach to tiled sampling, making it easier to handle complex image processing tasks without the overhead of additional smoothing or refining steps. This makes it particularly useful for AI artists looking to maintain high performance and quality in their image generation workflows.
The tile_size
parameter determines the size of each tile that the image will be divided into for processing. This parameter is crucial as it directly impacts the efficiency and quality of the sampling process. A smaller tile size may result in higher detail but can increase processing time, while a larger tile size can speed up the process but may reduce detail. The typical range for this parameter is from 16 to 512, with a default value of 128.
The overlap
parameter specifies the amount of overlap between adjacent tiles. This is important to ensure seamless blending between tiles and to avoid visible seams in the final image. The overlap value is usually a fraction of the tile size, with common values ranging from 0 to 0.5. A default value of 0.1 is often used to balance between seamless blending and processing efficiency.
The sampling_method
parameter defines the algorithm used for sampling within each tile. Different methods can produce varying results in terms of quality and speed. Common options include nearest
, bilinear
, and bicubic
, with bilinear
often being the default choice for a good balance between quality and performance.
The sampled_image
parameter is the final output of the node, representing the image that has been processed and sampled using the tiled approach. This output is crucial as it provides the end result of the node's operation, which can then be used for further processing or final output. The sampled image should exhibit high quality with minimal visible seams, thanks to the optimized tiled sampling process.
tile_size
parameter based on the resolution of your input image and the desired level of detail. Smaller tiles can capture more detail but may increase processing time.overlap
parameter to ensure seamless blending between tiles. A typical value of 0.1 works well for most cases, but you can adjust it based on your specific needs.sampling_method
options to find the best balance between quality and performance for your specific use case.tile_size
parameter to a value that fits within the dimensions of the input image.overlap
parameter to a value between 0 and 0.5.sampling_method
parameter is set to one of the valid options: nearest
, bilinear
, or bicubic
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