imaginAIry/.gitignore

.idea
.DS_Store
__pycache__
outputs/*
other
prolly_delete
coverage
downloads
.coverage
.coveragerc
/imaginairy/data/stable-diffusion-v1.yaml
/imaginairy/data/stable-diffusion-v1-4.ckpt
build
dist
**/*.ckpt
**/*.egg-info
tests/test_output
gfpgan/**
.python-version
._.DS_Store
first commit 2022-09-08 03:59:30 +00:00			`.idea`
			`.DS_Store`
			`__pycache__`
			`outputs/*`
			`other`
			`prolly_delete`
			`coverage`
			`downloads`
			`.coverage`
			`.coveragerc`
			`/imaginairy/data/stable-diffusion-v1.yaml`
			`/imaginairy/data/stable-diffusion-v1-4.ckpt`
feature: Mac M1 Support out of box - auto-downloads checkpoints - fixes bug in torch - autoset environment variable 2022-09-10 07:32:31 +00:00			`build`
			`dist`
			`*/.ckpt`
feature: cleaned up logging - cleans up all the logging. hide most of it - create better readme. show example images - save metadata into image 2022-09-11 06:27:22 +00:00			`*/.egg-info`
feature: face enhancement and upscaling!! 2022-09-13 07:27:53 +00:00			`tests/test_output`
refactor/test: logging suppression + hashed image test - simpler logging suppression for `transformers` library - suppress logging noise for running tests - get test running for all samplers on mps and cuda platforms - refactor safety model env variable to allow classification 2022-09-15 02:40:50 +00:00			`gfpgan/**`
fix: inpainting producing blurry images while the previous version did produce much better blending it also makes images that lack detail for some reason. tests: Added more tests to help catch this sort of thing earlies fix: found that median blur is really slow, so I made sure we only do it on downsampled masks. Was taking like 3 minutes to run on the large pearl girl picture on M1 - docs: update examples 2022-09-28 00:04:16 +00:00			`.python-version`
			`._.DS_Store`