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Efficiently upscale images using tiled processing for high-quality results with memory management.
The Tiled Upscaler Script is designed to enhance the resolution of images by dividing them into smaller tiles and processing each tile individually. This method allows for efficient upscaling without compromising the quality of the image, especially when dealing with high-resolution outputs. The script supports various tiling strategies and can integrate with ControlNet for more refined control over the upscaling process. By using this node, you can achieve high-quality upscaling results while managing memory usage effectively, making it ideal for AI artists looking to enhance their artwork with minimal technical hassle.
This parameter determines the factor by which the image will be upscaled. It controls the overall increase in resolution. The value must be between 1 and 2, with the default being 1.5. Adjusting this parameter will directly impact the final resolution of the upscaled image.
Specifies the size of each tile in pixels. This parameter is crucial for managing memory usage and processing time. Smaller tile sizes may reduce memory consumption but increase processing time, while larger tiles may do the opposite. The default value is 256 pixels.
Defines the strategy used for tiling the image. Options include "none", "overlap", and "non-overlap". The chosen strategy affects how tiles are processed and stitched back together. For instance, "overlap" can help reduce visible seams between tiles.
Indicates the number of steps to be taken during the tiling process. This parameter influences the granularity of the tiling operation. More steps can lead to finer control but may increase processing time. The default value is 10 steps.
A numerical value used to initialize the random number generator for reproducibility. Using the same seed will produce the same upscaling results, which is useful for consistency in batch processing.
Controls the level of noise reduction applied during the upscaling process. A higher value results in smoother images but may lose some details. The default value is 0.5.
A boolean parameter that determines whether ControlNet should be used for additional control over the upscaling process. If set to true, ControlNet will be applied, providing more refined results.
Specifies the ControlNet model to be used if use_controlnet
is enabled. This parameter allows for the selection of different ControlNet models to suit various upscaling needs.
Determines the strength of the upscaling effect. Higher values result in more pronounced upscaling, while lower values produce subtler enhancements. The default value is 0.8.
An optional dictionary parameter that can be used to pass additional settings or configurations to the upscaling process. This allows for further customization and fine-tuning of the results.
The output is a dictionary containing the processed script with the applied upscaling settings. This output can be used for further processing or to review the applied configurations.
tile_size
values to find the optimal balance between memory usage and processing time for your specific hardware.seed
parameter to ensure reproducibility when processing multiple images with the same settings.use_controlnet
for more refined control over the upscaling process, especially when working with complex images.denoise
parameter to find the right balance between noise reduction and detail preservation in your upscaled images.<latent_upscaler>
', 'upscale_by' must be between 1 and 2. Rounding to the nearest valid value."upscale_by
value provided is outside the acceptable range.upscale_by
parameter is set between 1 and 2.<latent_upscaler>
', 'upscale_by' must be one of [valid values]. Rounding to the nearest valid value."upscale_by
value provided is not one of the valid options for the city96 upscaler.upscale_by
values specified in the warning message.<default_upscaler>
'."latent_upscaler
parameter is set to a valid method or accept the default method provided in the warning.© Copyright 2024 RunComfy. All Rights Reserved.