1.2.3

• Fix for CPU upscaling pin memory error

1.2.2

• Refactor backend setup, fix for antivirus preventing proper Python install (#55)

1.2.1

• Improve logging - capture logs during backend setup to help troubleshoot setup errors

1.2.0

• Update backend to Python 3.12 and PyTorch 2.5 (NOTE: updating the backend may take several minutes when launching this version of the program for the first time)
• Performance optimizations:
  • New Version (1.2.0): 42 seconds to 4x upscale 35 1400p grayscale images saved with PNG format
  • Old Version (1.1.8): 64 seconds
  • Use pyvips to speed up image encoding and decoding
  • Use channels last format to speed up model inference
  • Use bf16 (if supported by GPU) when upscaling with DAT model

1.1.8

• Fix error upscaling when the username contains a space

1.1.7

• Fix additional errors upscaling grayscale images, regression from v1.1.5 (#33)

1.1.6

• Fix error upscaling grayscale images, regression from v1.1.5 (#33)

1.1.5

• Allow selection of No Model to skip running a model (#19)
• Fix console button cut off (#20)
• Fix handling of filenames containing multiple dots (#11)
• Save grayscale images in grayscale colorspace for applicable formats
• Optimize performance for upscaling grayscale images

1.1.4

• Fix NoneType bug when upscaling images which don't match any chains
• Add grayscale detection threshold option

1.1.3

• Test fix for batch upscale
• Show Python environment details in app settings