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* FixVolpeon2022-12-241-2/+2
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* Better dataset prompt handlingVolpeon2022-12-231-9/+16
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* num_class_images is now class images per train imageVolpeon2022-12-231-2/+2
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* Improved class prompt handlingVolpeon2022-12-231-17/+12
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* Dependency cleanup/upgradesVolpeon2022-12-201-3/+2
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* Improved dataset prompt handling, fixedVolpeon2022-12-191-18/+23
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* Avoid increased VRAM usage on validationVolpeon2022-12-151-3/+10
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* More generic datset filterVolpeon2022-12-141-5/+5
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* Optimized Textual Inversion training by filtering dataset by existence of ↵Volpeon2022-12-131-7/+31
| | | | added tokens
* Training improvements such as tag dropoutVolpeon2022-12-111-3/+10
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* Various updated; shuffle prompt content during trainingVolpeon2022-12-101-9/+20
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* UpdateVolpeon2022-11-141-1/+1
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* UpdateVolpeon2022-11-011-10/+1
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* Added CLI arg to set dataloader worker num; improved text encoder handling ↵Volpeon2022-10-271-3/+7
| | | | with Dreambooth
* Advanced datasetsVolpeon2022-10-241-25/+39
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* UpdateVolpeon2022-10-241-17/+16
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* Revert lat; fix skip attribute in datasetVolpeon2022-10-221-1/+1
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* Improved prompt handlingVolpeon2022-10-181-46/+37
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* Implemented extended prompt limitVolpeon2022-10-171-4/+10
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* Added support for Aesthetic GradientsVolpeon2022-10-131-1/+1
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* Various updatesVolpeon2022-10-121-2/+1
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* UpdateVolpeon2022-10-081-77/+85
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* Training: Create multiple class images per training imageVolpeon2022-10-071-14/+40
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* UpdateVolpeon2022-10-062-150/+0
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* Add Textual Inversion with class dataset (a la Dreambooth)Volpeon2022-10-042-25/+4
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* BugfixVolpeon2022-10-041-2/+2
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* Dreambooth: Generate specialized class images from input promptsVolpeon2022-10-033-62/+57
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* Small perf improvementsVolpeon2022-10-032-4/+5
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* Added negative prompt support for training scriptsVolpeon2022-10-032-13/+19
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* Fixed euler_a generator argumentVolpeon2022-10-032-5/+9
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* Assign unused images in validation dataset to train datasetVolpeon2022-10-032-5/+15
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* Use euler_a for samples in learning scripts; backported improvement from ↵Volpeon2022-10-032-53/+46
| | | | Dreambooth to Textual Inversion
* Batches of size 1 cause error: Expected query.is_contiguous() to be true, ↵Volpeon2022-09-281-9/+9
| | | | but got false
* Improved sample output and progress barsVolpeon2022-09-281-5/+5
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* Various improvements, added inference scriptVolpeon2022-09-271-0/+1
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* Supply dataset CSV file instead of dir with hardcoded CSV filenameVolpeon2022-09-271-10/+14
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* Added Dreambooth training scriptVolpeon2022-09-272-0/+193
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* Undo textual inversion dataset improvementsVolpeon2022-09-271-10/+21
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* More cleanupVolpeon2022-09-271-0/+134
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