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* Added learning rate finderVolpeon2022-12-274-162/+257
* Set default dimensions to 768; add config inheritanceVolpeon2022-12-267-26/+36
* Code simplifications, avoid autocastVolpeon2022-12-254-82/+92
* UpdateVolpeon2022-12-253-3/+3
* UpdateVolpeon2022-12-241-3/+3
* Fixed Textual InversionVolpeon2022-12-243-13/+21
* Training updateVolpeon2022-12-243-24/+8
* UpdateVolpeon2022-12-243-10/+26
* FixVolpeon2022-12-241-1/+1
* Fix againVolpeon2022-12-241-1/+1
* FixVolpeon2022-12-242-3/+6
* Better dataset prompt handlingVolpeon2022-12-233-11/+18
* num_class_images is now class images per train imageVolpeon2022-12-233-4/+4
* Improved class prompt handlingVolpeon2022-12-235-63/+31
* FixVolpeon2022-12-231-3/+1
* Simplified trainable embedding code againVolpeon2022-12-231-19/+6
* Fixed and simplified trainable embeddings codeVolpeon2022-12-231-12/+12
* Fixed Textual InversionVolpeon2022-12-223-14/+13
* Improved Textual Inversion: Completely exclude untrained embeddings from trai...Volpeon2022-12-222-18/+76
* Some LoRA fixes (still broken)Volpeon2022-12-212-138/+89
* Moved common training code into separate moduleVolpeon2022-12-214-231/+203
* Fix trainingVolpeon2022-12-205-15/+1073
* Dependency cleanup/upgradesVolpeon2022-12-202-27/+12
* Fix Textual Inversion dataset filteringVolpeon2022-12-201-1/+5
* Upstream patchesVolpeon2022-12-191-5/+17
* Improved dataset prompt handling, fixedVolpeon2022-12-194-23/+25
* Avoid increased VRAM usage on validationVolpeon2022-12-154-12/+29
* More generic datset filterVolpeon2022-12-145-13/+25
* Unified loading of TI embeddingsVolpeon2022-12-134-65/+54
* Optimized Textual Inversion training by filtering dataset by existence of add...Volpeon2022-12-133-10/+47
* Fixed sample/checkpoint frequencyVolpeon2022-12-132-14/+10
* Add support for resume in Textual InversionVolpeon2022-12-134-111/+101
* Dreambooth: Support loading Textual Inversion embeddingsVolpeon2022-12-124-31/+57
* Remove embedding checkpoints from Dreambooth trainingVolpeon2022-12-111-40/+16
* Package updatesVolpeon2022-12-111-3/+3
* Training improvements such as tag dropoutVolpeon2022-12-112-36/+68
* Support attention_mask of text encoderVolpeon2022-12-104-15/+29
* Various updated; shuffle prompt content during trainingVolpeon2022-12-103-18/+48
* Fix sample stepsVolpeon2022-12-062-2/+2
* UpdateVolpeon2022-12-044-18/+15
* UpdateVolpeon2022-12-012-6/+6
* UpdateVolpeon2022-12-014-13/+16
* UpdateVolpeon2022-12-014-19/+23
* UpdateVolpeon2022-11-302-12/+34
* Adjusted training to upstreamVolpeon2022-11-282-50/+56
* Fixed noise calculation for v-predictionVolpeon2022-11-282-13/+37
* Fixed and improved Textual Inversion trainingVolpeon2022-11-271-44/+68
* FixVolpeon2022-11-272-2/+0
* Generic loading of scheduler (training)Volpeon2022-11-272-34/+18
* Make prompt processor compatible with any modelVolpeon2022-11-271-1/+2
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