35 lines
998 B
Python
35 lines
998 B
Python
import requests
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from PIL import Image
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import io
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import numpy as np
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import torch
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class LoadImageFromHttpURL:
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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_url": ("STRING", {
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"default": "https://placehold.co/600x400/EEE/31343C"
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}),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "load_image"
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CATEGORY = "jerrywap/loaders"
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def load_image(self, image_url: str):
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try:
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response = requests.get(image_url)
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response.raise_for_status()
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image = Image.open(io.BytesIO(response.content)).convert("RGB")
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image_np = np.array(image).astype(np.float32) / 255.0
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image_tensor = torch.from_numpy(image_np).unsqueeze(0)
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return (image_tensor,)
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except Exception as e:
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print(f"Failed to load image from URL: {e}")
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return (torch.zeros(1, 512, 512, 3),) # fallback black image
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