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* UpdateVolpeon2023-03-311-0/+7
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* FixVolpeon2023-03-311-1/+2
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* FixVolpeon2023-03-311-1/+1
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* Support Dadaptation d0, adjust sample freq when steps instead of epochs are usedVolpeon2023-03-311-4/+11
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* FixVolpeon2023-03-311-1/+2
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* FixVolpeon2023-03-281-1/+1
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* Support num_train_steps arg againVolpeon2023-03-281-9/+21
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* Fix TIVolpeon2023-03-271-8/+8
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* Fix TIVolpeon2023-03-271-1/+10
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* Fix TIVolpeon2023-03-271-1/+1
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* Improved inverted tokensVolpeon2023-03-261-1/+15
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* UpdateVolpeon2023-03-251-4/+10
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* UpdateVolpeon2023-03-241-3/+3
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* Bring back Perlin offset noiseVolpeon2023-03-231-0/+7
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* UpdateVolpeon2023-03-231-1/+1
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* FixVolpeon2023-03-221-4/+0
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* Log DAdam/DAdan dVolpeon2023-03-211-2/+2
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* Added dadaptationVolpeon2023-03-211-0/+28
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* Fixed SNR weighting, re-enabled xformersVolpeon2023-03-211-2/+2
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* Test: https://arxiv.org/pdf/2303.09556.pdfVolpeon2023-03-171-12/+26
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* UpdateVolpeon2023-03-071-4/+4
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* Pipeline: Perlin noise for init imageVolpeon2023-03-041-1/+1
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* Removed offset noise from training, added init offset to pipelineVolpeon2023-03-031-1/+0
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* Implemented different noise offsetVolpeon2023-03-031-2/+2
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* UpdateVolpeon2023-03-011-1/+1
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* Don't rely on Accelerate for gradient accumulationVolpeon2023-02-211-1/+1
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* Embedding normalization: Ignore tensors with grad = 0Volpeon2023-02-211-11/+10
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* UpdateVolpeon2023-02-181-2/+4
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* Added Lion optimizerVolpeon2023-02-171-11/+27
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* Back to xformersVolpeon2023-02-171-3/+2
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* Remove xformers, switch to Pytorch NightlyVolpeon2023-02-171-2/+4
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* Integrated WIP UniPC schedulerVolpeon2023-02-161-1/+2
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* UpdateVolpeon2023-02-151-0/+1
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* UpdateVolpeon2023-02-131-8/+11
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* Integrate Self-Attention-Guided (SAG) Stable Diffusion in my custom pipelineVolpeon2023-02-081-1/+1
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* Fixed Lora trainingVolpeon2023-02-081-6/+6
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* Add LoraVolpeon2023-02-071-4/+6
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* Restored LR finderVolpeon2023-01-201-2/+19
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* Move Accelerator preparation into strategyVolpeon2023-01-191-3/+3
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* Smaller emb decayVolpeon2023-01-171-1/+1
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* Make embedding decay work like Adam decayVolpeon2023-01-171-12/+4
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* UpdateVolpeon2023-01-171-49/+64
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* Training updateVolpeon2023-01-161-3/+5
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* If valid set size is 0, re-use one image from train setVolpeon2023-01-161-5/+1
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* Moved multi-TI code from Dreambooth to TI scriptVolpeon2023-01-161-107/+114
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* More training adjustmentsVolpeon2023-01-161-5/+12
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* Handle empty validation datasetVolpeon2023-01-161-6/+3
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* Implemented extended Dreambooth trainingVolpeon2023-01-161-40/+22
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* Added Dreambooth strategyVolpeon2023-01-151-23/+23
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* Restored functional trainerVolpeon2023-01-151-61/+21
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