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* Refactoring, fixed Lora trainingVolpeon2023-03-241-7/+2
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* Bring back Perlin offset noiseVolpeon2023-03-231-1/+14
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* UpdateVolpeon2023-03-231-5/+2
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* FixVolpeon2023-03-221-1/+1
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* Log DAdam/DAdan dVolpeon2023-03-211-0/+14
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* Fixed SNR weighting, re-enabled xformersVolpeon2023-03-211-10/+25
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* Restore min SNRVolpeon2023-03-191-13/+12
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* New loss weighting from arxiv.org:2204.00227Volpeon2023-03-181-2/+5
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* Better SNR weightingVolpeon2023-03-181-3/+3
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* Fixed snr weight calculationVolpeon2023-03-171-1/+4
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* Fix loss=nanVolpeon2023-03-171-2/+2
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* Test: https://arxiv.org/pdf/2303.09556.pdfVolpeon2023-03-171-3/+8
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* UpdateVolpeon2023-03-071-1/+5
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* UpdateVolpeon2023-03-061-16/+0
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* Added Perlin noise to trainingVolpeon2023-03-041-0/+17
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* Removed offset noise from training, added init offset to pipelineVolpeon2023-03-031-10/+2
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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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