v0.18.0

Summary

• New Models.
  • PaliGemma 2: Better performing PaliGemma release based on Gemma 2.
  • SegFormer: Introduced the SegFormer architecture for SemanticSegmentation.
  • CLIP.
  • EfficientNet: Added EfficientNet presets, including the Edge and lite0 variants.
  • RetinaNet: Added an object detection task model.
  • Stable Diffusion: Added SD3.5 large and large turbo presets and flash attention support.
• HuggingFace integration.
  • All Keras team presets are now on both Kaggle and Huggingface hubs.

Breaking Changes.

• Updated initialization parameters for SD3, replacing height and width with image_shape.

What's Changed

• version bump to 0.17.0.dev0 by @divyashreepathihalli in #1944
• Update stable_diffusion_3_presets.py path by @divyashreepathihalli in #1946
• [Semantic Segmentation] - Add SegFormer Architecture, Weight Conversion Script and Presets by @DavidLandup0 in #1883
• Update readme by @divyashreepathihalli in #1949
• Update llama_backbone.py docstring by @divyashreepathihalli in #1950
• Update path for Llama by @sachinprasadhs in #1953
• Update SD3 init parameters (replacing height, width with image_shape) by @james77777778 in #1951
• Update docstring by @sachinprasadhs in #1954
• Add CLIP model by @james77777778 in #1955
• Add EfficientNet Presets by @pkgoogle in #1933
• Add SD3.5 large and large turbo presets by @james77777778 in #1960
• Mirror all weights on HF from Kaggle by @divyashreepathihalli in #1959
• [T5 1.1] Enable v1.1 Presets by @DavidLandup0 in #1948
• Update preset path for SD 3.5 and T5 1.1 by @divyashreepathihalli in #1961
• minor fix to HF mirror script by @divyashreepathihalli in #1962
• Add presets for CLIP and fix some minor bugs by @james77777778 in #1964
• sync models and update mirror script to sync model cards on HF and Kaggle by @divyashreepathihalli in #1971
• Bump the python group with 5 updates by @dependabot in #1969
• [MiT and SegFormer] Refactor Backbone Arg Names by @DavidLandup0 in #1958
• Correct model card links for Gemma variants by @RyanMullins in #1972
• [RetinaNet] Image Converter and ObjectDetector by @sineeli in #1906
• Improve future compatibility of CLIPMultiHeadAttention by @james77777778 in #1975
• Fix return_attention_scores bug by @abheesht17 in #1977
• Correct the kaggle handle by @sineeli in #1982
• Add Efficientnet Edge presets by @pkgoogle in #1976
• update docstring examples by @sachinprasadhs in #1970
• [Flux] Port Flux Core Model by @DavidLandup0 in #1864
• Add closest EfficientNet variants by @pkgoogle in #1967
• Sync HF <> Kaggle by @divyashreepathihalli in #1986
• EfficientNet: Add lite0 variant by @pkgoogle in #1968
• Update README.md by @mattdangerw in #1990
• Reduce the metadata we track per preset by @mattdangerw in #1991
• Temp fix for keras-hub testing by @mattdangerw in #1996
• Version bump to 0.18.0.dev0 by @divyashreepathihalli in #2001
• Skip failing JAX test by @divyashreepathihalli in #2000
• Version bump to 0.18.0 and cherry pick by @divyashreepathihalli in #2002

Full Changelog: v0.17.0...v0.18.0