ComfyUI  >  Nodes  >  ComfyUI-SUPIR >  SUPIR Tiles

ComfyUI Node: SUPIR Tiles

Class Name

SUPIR_tiles

Category
SUPIR
Author
kijai (Account age: 2181 days)
Extension
ComfyUI-SUPIR
Latest Updated
5/21/2024
Github Stars
1.2K

How to Install ComfyUI-SUPIR

Install this extension via the ComfyUI Manager by searching for  ComfyUI-SUPIR
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-SUPIR in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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SUPIR Tiles Description

Facilitates image processing by dividing into tiles for efficiency and performance optimization.

SUPIR Tiles:

The SUPIR_tiles node is designed to facilitate the processing of images by dividing them into smaller, manageable tiles. This approach is particularly beneficial when working with high-resolution images or when computational resources are limited. By breaking down an image into tiles, the node allows for more efficient memory usage and faster processing times. This method is especially useful in scenarios where the entire image cannot be processed at once due to hardware constraints. The SUPIR_tiles node ensures that each tile is processed individually, which can then be recombined to form the final output. This tiling technique helps in maintaining the quality of the image while optimizing the performance of the processing pipeline.

SUPIR Tiles Input Parameters:

SUPIR_VAE

This parameter represents the Variational Autoencoder (VAE) model used for encoding and decoding the image tiles. The VAE model is crucial for transforming the image data into a latent space and then reconstructing it back to the image space. The quality and performance of the VAE model directly impact the results of the tiling process.

image

The image parameter is the input image that needs to be processed. This image will be divided into smaller tiles for individual processing. The resolution and quality of the input image will affect the number of tiles generated and the overall processing time.

encoder_dtype

This parameter specifies the data type used during the encoding process. The data type can influence the precision and performance of the encoding operation. Common data types include float32 and float16, with float16 offering faster processing at the cost of reduced precision.

use_tiled_vae

A boolean parameter that determines whether to use the tiled VAE approach. When set to True, the image will be processed in tiles, which can significantly reduce memory usage and improve processing speed. If set to False, the entire image will be processed at once, which may require more computational resources.

encoder_tile_size

This parameter defines the size of the tiles used during the encoding process. The tile size is specified in pixels and determines how the input image is divided. Smaller tile sizes can lead to more tiles and potentially longer processing times, while larger tile sizes may require more memory.

decoder_tile_size

Similar to the encoder_tile_size, this parameter specifies the size of the tiles used during the decoding process. The tile size affects how the latent representations are reconstructed back into the image space. Choosing an appropriate tile size is crucial for balancing memory usage and processing speed.

SUPIR Tiles Output Parameters:

processed_tiles

The processed_tiles parameter represents the collection of image tiles that have been processed individually. These tiles can be recombined to form the final output image. The quality and consistency of the processed tiles are essential for achieving a seamless final image.

tile_metadata

This parameter contains metadata information about the tiles, such as their positions and sizes. This metadata is crucial for correctly recombining the tiles into the final image. It ensures that each tile is placed in the correct location, maintaining the integrity of the original image.

SUPIR Tiles Usage Tips:

  • To optimize performance, choose an appropriate tile size based on your hardware capabilities. Smaller tiles reduce memory usage but may increase processing time.
  • Use the use_tiled_vae parameter to enable tiled processing, especially when working with high-resolution images or limited computational resources.
  • Ensure that the VAE model used is well-trained and suitable for the type of images you are processing to achieve the best results.

SUPIR Tiles Common Errors and Solutions:

"Out of memory error"

  • Explanation: This error occurs when the system runs out of memory while processing the image tiles.
  • Solution: Reduce the tile size using the encoder_tile_size and decoder_tile_size parameters or increase the available memory.

"Invalid tile size"

  • Explanation: This error occurs when the specified tile size is not supported or is too large for the input image.
  • Solution: Ensure that the tile size is appropriate for the resolution of the input image and within the supported range.

"VAE model not found"

  • Explanation: This error occurs when the specified VAE model is not available or not loaded correctly.
  • Solution: Verify that the VAE model path is correct and that the model is properly loaded before processing the image tiles.

SUPIR Tiles Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-SUPIR
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