Releases: apple/ml-stable-diffusion
Releases Β· apple/ml-stable-diffusion
1.1.1
Changed the license to MIT
What else has Changed
- Fix safety_checker dtype by @ZachNagengast in #276
- Fix missing parameters ('mixed_bit_compression_apply', ) & import pkg (mixed_bit_compression_pre_analysis) issues by @jiangdi0924 in #279
- Fix pipeline.py for Python 3.8 by @TobyRoseman in #287
- Compiled Models in Python by @TobyRoseman in #296
- Use sRGB if available by @stuartjmoore in #301
- Applying mixed bit compression using new optimize API by @TobyRoseman in #311
- Update swift-argument-parser to latest minor version by @godly-devotion in #318
New Contributors
- @stuartjmoore made their first contribution in #301
Full Changelog: 1.1.0...1.1.1
1.1.0
- SDXL iOS and iPadOS Benchmarks
- SDXL refiner Swift inference by @ZachNagengast
- SDXL base Python inference by @lopez-hector
- CUDA RNG in Swift by @liuliu
- Karras schedule for DPMSolver by @pcuenq
- Other improvements
1.0.0
0.4.0
0.3.0
0.2.0
Image2image - python (#115) * Add Encoder model to torch2coreml for image2image and later for in-paining * diagonal test with randn * Revert "diagonal test with randn" This reverts commit 270afe1bb970c9413d3c3c9d09c0bd4f2dcbfa19. * readme updates for encoder * pr comments