mirror of https://github.com/vladmandic/automatic
76aa949a26
Vendor sharpfin library (Apache 2.0) and add centralized wrapper module (images_sharpfin.py) replacing torchvision tensor/PIL conversion and resize operations throughout the codebase. - Add modules/sharpfin/ vendored library with MKS2021, Lanczos3, Mitchell, Catmull-Rom kernels and optional Triton sparse acceleration - Add modules/images_sharpfin.py wrapper with to_tensor(), to_pil(), pil_to_tensor(), normalize(), resize(), resize_tensor() - Add resize_quality and resize_linearize_srgb settings - Add MKS2021 and Lanczos3 upscaler entries - Replace torchvision.transforms.functional imports across 18 files - to_pil() auto-detects HWC/BHWC layout, adds .round() before uint8 - Sparse Triton path falls back to dense GPU on compilation failure - Mixed-axis resize splits into two single-axis scale() calls - Masks and non-sRGB data always use linearize=False |
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| .. | ||
| __init__.py | ||
| features.py | ||
| media.py | ||
| sdxl.py | ||
| utils.py | ||