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Facilitates fine-tuning of tiled image processing settings for precise and controlled results in ComfyUI framework.
The IP Adapter Tiled Settings (JPS) node is designed to facilitate the configuration of tiled image processing settings within the ComfyUI framework. This node allows you to fine-tune various parameters related to image tiling, such as model selection, weight types, noise levels, and more. By leveraging these settings, you can achieve more precise and controlled image processing results, particularly when working with tiled images. The node is particularly useful for tasks that require detailed adjustments to image tiling properties, ensuring that the final output meets specific artistic or technical requirements.
This parameter is a composite input that encapsulates various settings required for the IP Adapter Tiled Settings node. It includes configurations for model selection, weight types, noise levels, start and end points, tile properties, zoom levels, offsets, preparation types, interpolation methods, and sharpening levels. Each of these settings plays a crucial role in determining the behavior and output of the node, allowing for a high degree of customization and control over the image tiling process.
This output parameter represents the selected model for the IP Adapter Tiled Settings. It is an integer value that corresponds to specific models like "SDXL ViT-H", "SDXL Plus ViT-H", and "SDXL Plus Face ViT-H". The model selection impacts the overall processing and quality of the tiled images.
This output parameter indicates the weight type used in the processing. It can take on values such as "linear", "ease in", "ease out", "ease in-out", "reverse in-out", "weak input", "weak output", "weak middle", and "strong middle". The weight type affects how the weights are applied across the tiles, influencing the blending and transition effects.
This output parameter specifies the weight applied to the tiles. It is a floating-point value that determines the intensity or influence of the tiles in the final image. Adjusting this weight can help achieve the desired balance and emphasis in the tiled image.
This output parameter represents the noise level applied to the tiles. It is a floating-point value that adds a certain amount of noise to the tiles, which can be useful for creating more natural or textured effects in the final image.
This output parameter indicates the start point for the tiling process. It is a floating-point value that defines where the tiling should begin, allowing for precise control over the tiling region.
This output parameter indicates the end point for the tiling process. It is a floating-point value that defines where the tiling should end, providing control over the extent of the tiling region.
This output parameter specifies the short dimension of the tiles. It is an integer value that determines the size of the tiles along the shorter dimension, affecting the overall tiling pattern and appearance.
This output parameter represents the weight applied to the tiles. It is a floating-point value that influences the intensity or prominence of the tiles in the final image.
This output parameter indicates the zoom level applied to the tiles. It is a floating-point value that determines the magnification or scaling of the tiles, allowing for adjustments to the tile size and detail.
This output parameter specifies the horizontal offset for the tiles. It is an integer value that shifts the tiles horizontally, enabling precise alignment and positioning of the tiles.
This output parameter specifies the vertical offset for the tiles. It is an integer value that shifts the tiles vertically, allowing for accurate alignment and positioning of the tiles.
This output parameter represents the preparation type used for the tiles. It is an integer value that corresponds to specific preparation methods like "Target AR + Target Res", "Target AR + Tile Res", "Tile AR + Target Res", "Source AR + Source Res", "Source AR + Tile Res", "Tile AR + Source Res", "Square AR + Target Res", "Square AR + Tile Res", and "Direct Source". The preparation type affects how the tiles are prepared and processed.
This output parameter indicates the interpolation method used for the tiles. It can take on values such as "lanczos", "nearest", "bilinear", "bicubic", "area", and "nearest-exact". The interpolation method determines how the tiles are resampled and blended, impacting the smoothness and quality of the final image.
This output parameter represents the sharpening level applied to the tiles. It is a floating-point value that enhances the edges and details of the tiles, contributing to the overall sharpness and clarity of the final image.
ipa_model
settings to find the best model for your specific image processing needs.ipa_weight
and tile_weight
parameters to control the intensity and prominence of the tiles in the final image.zoom
parameter to fine-tune the size and detail of the tiles, ensuring they fit well with the overall image composition.offset_w
and offset_h
parameters to align the tiles precisely, avoiding any unwanted gaps or overlaps.prepare_type
and prepare_intpol
settings to achieve the desired preparation and interpolation effects for the tiles.ipa_model
parameter is set to one of the supported models: "SDXL ViT-H", "SDXL Plus ViT-H", or "SDXL Plus Face ViT-H".ipa_wtype
parameter is set to one of the supported weight types: "linear", "ease in", "ease out", "ease in-out", "reverse in-out", "weak input", "weak output", "weak middle", or "strong middle".ipa_weight
, ipa_noise
, ipa_start
, ipa_end
, zoom
, and prepare_sharpening
to ensure they fall within the specified ranges.prepare_type
parameter is set to one of the valid preparation types: "Target AR + Target Res", "Target AR + Tile Res", "Tile AR + Target Res", "Source AR + Source Res", "Source AR + Tile Res", "Tile AR + Source Res", "Square AR + Target Res", "Square AR + Tile Res", or "Direct Source".prepare_intpol
parameter is set to one of the supported interpolation methods: "lanczos", "nearest", "bilinear", "bicubic", "area", or "nearest-exact".© Copyright 2024 RunComfy. All Rights Reserved.