39 lines
879 B
Python
39 lines
879 B
Python
import io
|
|
import torch
|
|
import numpy as np
|
|
from PIL import Image
|
|
|
|
class ImageToBlobNode:
|
|
def __init__(self):
|
|
pass
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"image": ("IMAGE",),
|
|
},
|
|
}
|
|
|
|
RETURN_TYPES = ("BYTES",)
|
|
FUNCTION = "convert_image_to_blob"
|
|
CATEGORY = "RequestNode/Converters"
|
|
|
|
def convert_image_to_blob(self, image):
|
|
# Convert tensor to PIL Image
|
|
i = 255. * image.cpu().numpy().squeeze()
|
|
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
|
|
|
|
# Save image to a byte buffer
|
|
buffer = io.BytesIO()
|
|
img.save(buffer, format="PNG")
|
|
|
|
return (buffer.getvalue(),)
|
|
|
|
NODE_CLASS_MAPPINGS = {
|
|
"ImageToBlobNode": ImageToBlobNode
|
|
}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {
|
|
"ImageToBlobNode": "Image to Blob Node"
|
|
} |