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version: 4.0.0

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Bryce 2022-10-22 02:25:54 -07:00
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README.md
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@ -223,11 +223,11 @@ docker run -it --gpus all -v $HOME/.cache/huggingface:/root/.cache/huggingface -
[Example Colab](https://colab.research.google.com/drive/1rOvQNs0Cmn_yU1bKWjCOHzGVDgZkaTtO?usp=sharing) [Example Colab](https://colab.research.google.com/drive/1rOvQNs0Cmn_yU1bKWjCOHzGVDgZkaTtO?usp=sharing)
## ChangeLog ## ChangeLog
**4.0.0**
- feature: stable diffusion 1.5 (slightly improved image quality)
- feature: dilation and erosion of masks - feature: dilation and erosion of masks
Previously the `+` and `-` characters in a mask (example: `face{+0.1}`) added to the grayscale value of any masked areas. This wasn't very useful. The new behavior is that the mask will expand or contract by the number of pixel specified. The technical terms for this are dilation and erosion. This allows much greater control over the masked area. Previously the `+` and `-` characters in a mask (example: `face{+0.1}`) added to the grayscale value of any masked areas. This wasn't very useful. The new behavior is that the mask will expand or contract by the number of pixel specified. The technical terms for this are dilation and erosion. This allows much greater control over the masked area.
- feature: update k-diffusion samplers. add k_dpm_adaptive and k_dpm_fast - feature: update k-diffusion samplers. add k_dpm_adaptive and k_dpm_fast
**3.1.0**
- feature: img2img/inpainting supported on all samplers - feature: img2img/inpainting supported on all samplers
- refactor: consolidates img2img/txt2img code. consolidates schedules. consolidates masking - refactor: consolidates img2img/txt2img code. consolidates schedules. consolidates masking
- ci: minor logging improvements - ci: minor logging improvements

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setup.py
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@ -7,7 +7,7 @@ setup(
name="imaginAIry", name="imaginAIry",
author="Bryce Drennan", author="Bryce Drennan",
# author_email="b r y p y d o t io", # author_email="b r y p y d o t io",
version="3.0.1", version="4.0.0",
description="AI imagined images. Pythonic generation of stable diffusion images.", description="AI imagined images. Pythonic generation of stable diffusion images.",
long_description=readme, long_description=readme,
long_description_content_type="text/markdown", long_description_content_type="text/markdown",