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* Implemented different noise offsetVolpeon2023-03-031-21/+10
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* Low freq noise with randomized strengthVolpeon2023-03-031-1/+8
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* Better low freq noiseVolpeon2023-03-021-1/+1
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* Changed low freq noiseVolpeon2023-03-011-23/+10
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* UpdateVolpeon2023-03-011-23/+27
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* Fixed TI normalization orderVolpeon2023-02-211-4/+4
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* FixVolpeon2023-02-211-6/+3
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* Don't rely on Accelerate for gradient accumulationVolpeon2023-02-211-24/+29
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* Embedding normalization: Ignore tensors with grad = 0Volpeon2023-02-211-2/+5
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* UpdateVolpeon2023-02-181-7/+14
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* Added Lion optimizerVolpeon2023-02-171-4/+5
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* Remove xformers, switch to Pytorch NightlyVolpeon2023-02-171-2/+1
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* FixVolpeon2023-02-161-4/+2
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* Integrated WIP UniPC schedulerVolpeon2023-02-161-8/+22
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* UpdateVolpeon2023-02-151-1/+1
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* Made low-freq noise configurableVolpeon2023-02-141-6/+11
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* Better noise generation during training: ↵Volpeon2023-02-131-0/+7
| | | | https://www.crosslabs.org/blog/diffusion-with-offset-noise
* UpdateVolpeon2023-02-131-1/+1
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* Fix Lora memory usageVolpeon2023-02-071-2/+2
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* Add LoraVolpeon2023-02-071-20/+11
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* Restored LR finderVolpeon2023-01-201-10/+25
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* Move Accelerator preparation into strategyVolpeon2023-01-191-14/+14
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* UpdateVolpeon2023-01-171-4/+8
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* UpdateVolpeon2023-01-171-5/+14
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* Training updateVolpeon2023-01-161-3/+1
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* Moved multi-TI code from Dreambooth to TI scriptVolpeon2023-01-161-3/+14
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* More training adjustmentsVolpeon2023-01-161-2/+3
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* Handle empty validation datasetVolpeon2023-01-161-45/+56
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* Extended Dreambooth: Train TI tokens separatelyVolpeon2023-01-161-0/+1
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* Implemented extended Dreambooth trainingVolpeon2023-01-161-3/+4
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* Restored functional trainerVolpeon2023-01-151-24/+78
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* UpdateVolpeon2023-01-151-77/+23
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* Removed unused code, put training callbacks in dataclassVolpeon2023-01-151-34/+29
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* Added functional TI strategyVolpeon2023-01-151-0/+118
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* Added functional trainerVolpeon2023-01-151-1/+74
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* UpdateVolpeon2023-01-141-10/+24
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* UpdateVolpeon2023-01-141-10/+9
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* WIP: Modularization ("free(): invalid pointer" my ass)Volpeon2023-01-141-0/+365