Image Extract From Batch¶
Documentation¶
- Class name:
JWImageExtractFromBatch
- Category:
jamesWalker55
- Output node:
False
This node extracts a single image from a batch of images based on the specified index, allowing for individual image processing or analysis.
Input types¶
Required¶
images
- The batch of images from which a single image will be extracted. It's crucial for selecting the specific image to process or analyze.
- Comfy dtype:
IMAGE
- Python dtype:
torch.Tensor
index
- The index of the image to be extracted from the batch. It determines which image is selected for extraction.
- Comfy dtype:
INT
- Python dtype:
int
Output types¶
image
- Comfy dtype:
IMAGE
- The extracted single image from the specified index of the input batch.
- Python dtype:
torch.Tensor
- Comfy dtype:
Usage tips¶
- Infra type:
GPU
- Common nodes: unknown
Source code¶
@register_node("JWImageLoadRGB", "Image Load RGB")
class _:
CATEGORY = "jamesWalker55"
INPUT_TYPES = lambda: {
"required": {
"path": ("STRING", {"default": "./image.png"}),
}
}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
def execute(self, path: str):
assert isinstance(path, str)
img = load_image(path)
return (img,)