input:
  shape: [1, 3, 128, 128]
  dtype: float32
  range: [0.0, 1.0]
  color_space: RGB
  preprocessing:
    - to_tensor           # PIL RGB -> [0, 1] float32 tensor
    - tile_size: [128, 128]  # model processes 128x128 tiles; larger images are tiled automatically

output:
  shape: [1, 3, 512, 512]   # 4x upscaled (128 * 4 = 512)
  dtype: float32
  range: [0.0, 1.0]
  postprocessing:
    - clamp: [0.0, 1.0]     # raw output clamped to valid pixel range
    - scale: 4              # spatial upscale factor
    - tiling_overlap: 8     # pixel overlap between adjacent tiles (blended by averaging)