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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)