44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
import folder_paths
|
|
from PIL import Image, ImageOps
|
|
import numpy as np
|
|
import torch
|
|
|
|
class LoadImageFromRequest:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"name": (
|
|
"STRING",
|
|
{"multiline": False, "default": "face.png"},
|
|
),
|
|
},
|
|
"optional": {
|
|
"image": ("IMAGE",),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("IMAGE",)
|
|
RETURN_NAMES = ("image",)
|
|
|
|
FUNCTION = "run"
|
|
|
|
CATEGORY = "image"
|
|
|
|
def run(self, name, image=None):
|
|
try:
|
|
image_path = folder_paths.get_annotated_filepath(name)
|
|
image = Image.open(image_path)
|
|
image = ImageOps.exif_transpose(image)
|
|
# image = image.convert("RGB")
|
|
image = np.array(image).astype(np.float32) / 255.0
|
|
image = torch.from_numpy(image)[None,]
|
|
return [image]
|
|
except:
|
|
return [image]
|
|
|
|
|
|
NODE_CLASS_MAPPINGS = {"LoadImageFromRequest": LoadImageFromRequest}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {"LoadImageFromRequest": "Load Image From Request"}
|