Documentation Index
Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
Use this file to discover all available pages before exploring further.
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe Random Crop Images node randomly selects a rectangular section from each input image and crops it to a specified width and height. This is commonly used for data augmentation to create variations of training images. The random position for the crop is determined by a seed value, ensuring the same crop can be reproduced.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
image | IMAGE | Yes | - | The image to be cropped. |
width | INT | No | 1 - 8192 | The width of the crop area (default: 512). |
height | INT | No | 1 - 8192 | The height of the crop area (default: 512). |
seed | INT | No | 0 - 18446744073709551615 | A number used to control the random position of the crop (default: 0). |
width and height parameters must be less than or equal to the dimensions of the input image. If a specified dimension is larger than the image, the crop will be limited to the image’s boundary.
Outputs
| Output Name | Data Type | Description |
|---|---|---|
image | IMAGE | The resulting image after the random crop has been applied. |
Source fingerprint (SHA-256):
8452a07a1cf66a520fb482f5239df3f33cfe3a77a28e289894ccd1d2544ecf40