CavinHuang-comfyui-nodes-docs/docs/ImageFromURL.md

Documentation

• Class name: ImageFromURL
• Category: jitcoder
• Output node: True

ImageFromURL 节点设计用于从给定的 URL 获取并处理图像，将其转换为适合进一步图像处理或机器学习任务的张量格式。

Input types

Required

• url
  • 要获取的图像的 URL。这个参数对节点的操作至关重要，因为它指定了要处理的图像的来源。
  • Comfy dtype: STRING
  • Python dtype: str

Output types

• image
  • 以张量格式处理后的图像，可用于进一步处理或分析。
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImageFromURL:
    def __init__(self):
        pass
    
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "url": ("STRING", {"multiline": False})
            },
        }

    RETURN_NAMES = ("image",)
    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "fetch_image"
    OUTPUT_NODE = True
    CATEGORY = "jitcoder"

    def fetch_image(self, url):
        image = Image.open(requests.get(url, stream=True).raw)
        image = ImageOps.exif_transpose(image)
        image = image.convert("RGB")
        image = numpy.array(image).astype(numpy.float32) / 255.0
        image = torch.from_numpy(image)[None,]
        return (image,)