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path: root/textual_inversion.py
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* Improved dataset prompt handling, fixedVolpeon2022-12-191-1034/+0
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* Avoid increased VRAM usage on validationVolpeon2022-12-151-3/+8
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* More generic datset filterVolpeon2022-12-141-3/+10
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* Unified loading of TI embeddingsVolpeon2022-12-131-12/+11
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* Optimized Textual Inversion training by filtering dataset by existence of ↵Volpeon2022-12-131-3/+10
| | | | added tokens
* Fixed sample/checkpoint frequencyVolpeon2022-12-131-11/+9
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* Add support for resume in Textual InversionVolpeon2022-12-131-65/+54
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* Dreambooth: Support loading Textual Inversion embeddingsVolpeon2022-12-121-14/+23
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* Support attention_mask of text encoderVolpeon2022-12-101-4/+5
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* UpdateVolpeon2022-12-041-1/+3
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* UpdateVolpeon2022-12-011-3/+3
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* UpdateVolpeon2022-12-011-4/+5
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* UpdateVolpeon2022-12-011-0/+1
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* Adjusted training to upstreamVolpeon2022-11-281-23/+26
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* Fixed noise calculation for v-predictionVolpeon2022-11-281-9/+20
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* Fixed and improved Textual Inversion trainingVolpeon2022-11-271-44/+68
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* FixVolpeon2022-11-271-1/+0
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* Generic loading of scheduler (training)Volpeon2022-11-271-14/+9
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* RefactoringVolpeon2022-11-141-4/+4
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* UpdateVolpeon2022-11-141-4/+9
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* UpdateVolpeon2022-11-031-3/+11
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* Added CLI arg to set dataloader worker num; improved text encoder handling ↵Volpeon2022-10-271-0/+10
| | | | with Dreambooth
* New Euler_a schedulerVolpeon2022-10-261-3/+3
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* Advanced datasetsVolpeon2022-10-241-24/+34
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* Training updateVolpeon2022-10-221-1/+0
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* Add optional TI functionality to DreamboothVolpeon2022-10-211-7/+8
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* Adapted other scripts for new prompt processingVolpeon2022-10-181-7/+10
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* Upstream updates; better handling of textual embeddingVolpeon2022-10-171-17/+24
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* UpdateVolpeon2022-10-161-2/+4
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* UpdateVolpeon2022-10-161-11/+17
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* UpdateVolpeon2022-10-151-12/+21
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* Removed aesthetic gradients; training improvementsVolpeon2022-10-141-18/+14
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* Added support for Aesthetic GradientsVolpeon2022-10-131-10/+0
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* Added TI+Dreambooth trainingVolpeon2022-10-131-3/+8
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* Various updatesVolpeon2022-10-121-60/+14
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* Added EMA support to Textual InversionVolpeon2022-10-101-6/+48
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* TI: Use different lr schedulerVolpeon2022-10-101-1/+1
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* Updated default paramsVolpeon2022-10-101-3/+3
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* UpdateVolpeon2022-10-091-6/+4
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* UpdateVolpeon2022-10-081-29/+28
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* Fix small detailsVolpeon2022-10-071-35/+35
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* Training: Create multiple class images per training imageVolpeon2022-10-071-13/+35
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* UpdateVolpeon2022-10-061-11/+101
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* Add Textual Inversion with class dataset (a la Dreambooth)Volpeon2022-10-041-7/+6
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* Default sample steps 30 -> 40Volpeon2022-10-041-1/+1
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* Dreambooth: Generate specialized class images from input promptsVolpeon2022-10-031-4/+2
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* Small perf improvementsVolpeon2022-10-031-2/+4
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* Added negative prompt support for training scriptsVolpeon2022-10-031-60/+23
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* Fixed euler_a generator argumentVolpeon2022-10-031-8/+0
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* Assign unused images in validation dataset to train datasetVolpeon2022-10-031-3/+9
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