ComfyUI > Nodes > ComfyUI-ArchAi3d-Qwen > Simple Tile Cropper (Batch)

ComfyUI Node: Simple Tile Cropper (Batch)

Class Name

ArchAi3D_Simple_Tile_Cropper_Batch

Category
ArchAi3d/Upscaling/Simple USDU
Author
Amir Ferdos (ArchAi3d) (Account age: 1109days)
Extension
ComfyUI-ArchAi3d-Qwen
Latest Updated
2026-04-17
Github Stars
0.05K

How to Install ComfyUI-ArchAi3d-Qwen

Install this extension via the ComfyUI Manager by searching for ComfyUI-ArchAi3d-Qwen
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-ArchAi3d-Qwen 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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Simple Tile Cropper (Batch) Description

Efficiently crops multiple image tiles in batch, aiding AI artists in managing large datasets.

Simple Tile Cropper (Batch):

The ArchAi3D_Simple_Tile_Cropper_Batch node is designed to efficiently process and crop multiple tiles from a larger image in a batch operation. This node is particularly useful for AI artists who need to handle large datasets or images by breaking them down into smaller, more manageable pieces. By automating the tile cropping process, it saves time and effort, allowing you to focus on creative tasks rather than manual image manipulation. The node ensures that each tile is cropped accurately, maintaining the integrity of the original image while providing flexibility in how the tiles are processed. This is especially beneficial for tasks that require detailed image analysis or manipulation, such as texture mapping or creating detailed 3D models from 2D images.

Simple Tile Cropper (Batch) Input Parameters:

image

The image parameter is the primary input for the node, representing the larger image from which tiles will be cropped. This parameter is crucial as it determines the source material for the cropping operation. The image should be provided in a compatible format that the node can process, typically as a tensor or array. The quality and resolution of the input image will directly impact the quality of the cropped tiles.

tile_size

The tile_size parameter specifies the dimensions of each tile to be cropped from the input image. This parameter is essential for defining the size of the output tiles, which can affect the level of detail and the number of tiles generated. The tile size should be chosen based on the desired level of detail and the specific requirements of your project. Larger tiles may capture more context, while smaller tiles can provide more granular detail.

padding

The padding parameter allows you to add a border around each cropped tile, which can be useful for maintaining context or preventing edge artifacts. Padding is specified in pixels and can be adjusted based on the needs of your project. Adding padding can help ensure that important details near the edges of tiles are not lost during cropping or subsequent processing.

Simple Tile Cropper (Batch) Output Parameters:

cropped_tiles

The cropped_tiles output parameter provides the resulting set of tiles that have been cropped from the input image. Each tile is an individual image segment that can be used for further processing or analysis. The number and size of the tiles are determined by the input parameters, such as tile_size and padding. This output is crucial for workflows that require detailed examination or manipulation of specific image regions.

tile_positions

The tile_positions output parameter contains information about the position of each cropped tile within the original image. This data is important for reconstructing the original image from the tiles or for understanding the spatial relationship between different tiles. It provides a reference for aligning or merging tiles in subsequent processing steps.

Simple Tile Cropper (Batch) Usage Tips:

  • Ensure that the input image is of high quality and resolution to achieve the best results from the cropping process.
  • Adjust the tile_size parameter based on the level of detail required for your project. Smaller tiles can provide more detail, while larger tiles may capture more context.
  • Use the padding parameter to add a border around each tile if you need to preserve context or prevent edge artifacts during processing.

Simple Tile Cropper (Batch) Common Errors and Solutions:

Image format not supported

  • Explanation: The input image is in a format that the node cannot process.
  • Solution: Convert the image to a compatible format, such as a tensor or array, before inputting it into the node.

Tile size exceeds image dimensions

  • Explanation: The specified tile_size is larger than the dimensions of the input image.
  • Solution: Reduce the tile_size parameter to ensure it fits within the dimensions of the input image.

Insufficient memory for batch processing

  • Explanation: The system does not have enough memory to process the batch of tiles.
  • Solution: Reduce the number of tiles processed at once or increase the system's available memory.

Simple Tile Cropper (Batch) Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-ArchAi3d-Qwen
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Simple Tile Cropper (Batch)