43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
import io
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import base64
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import torch
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import numpy as np
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from PIL import Image
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class ImageToBase64Node:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image": ("IMAGE",),
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},
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}
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RETURN_TYPES = ("STRING",)
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FUNCTION = "convert_image_to_base64"
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CATEGORY = "RequestNode/Converters"
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def convert_image_to_base64(self, image):
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# Convert tensor to PIL Image
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i = 255. * image.cpu().numpy().squeeze()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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# Save image to a byte buffer
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buffer = io.BytesIO()
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img.save(buffer, format="PNG")
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# Encode the byte buffer to a base64 string
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base64_string = base64.b64encode(buffer.getvalue()).decode('utf-8')
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return (base64_string,)
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NODE_CLASS_MAPPINGS = {
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"ImageToBase64Node": ImageToBase64Node
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ImageToBase64Node": "Image to Base64 Node"
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} |