code: def adjust_brightness(img, brightness_factor):
      assert (
          brightness_factor >= 0
      ), "brightness_factor should be non-negative."
      assert _get_image_num_channels(img, "CHW") in [
          1,
          3,
      ], "channels of input should be either 1 or 3."
  
      extreme_target = ivy.zeros_like(img)
      return _blend_images(img, extreme_target, brightness_factor)
  
file_path: ivy/ivy/functional/frontends/paddle/vision/transforms.py
imports: import ivy
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_device_and_dtypes
  from ..tensor.tensor import Tensor
  from ivy.functional.frontends.paddle.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 6 for calling a global function with example usage: adjust_brightness(img, brightness_factor) and returns: _blend_images