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path: root/training/functional.py
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* UpdateVolpeon2023-04-101-3/+1
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* UpdateVolpeon2023-04-091-2/+2
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* FixVolpeon2023-04-091-1/+1
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* UpdateVolpeon2023-04-081-35/+22
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* FixVolpeon2023-04-071-6/+0
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* UpdateVolpeon2023-04-061-36/+4
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* MinSNR code from diffusersVolpeon2023-04-051-19/+30
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* Improved slerp noise offset: Dedicated black image instead of negative offsetVolpeon2023-04-051-72/+40
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* New offset noise testVolpeon2023-04-051-8/+89
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* TI: Bring back old embedding decayVolpeon2023-04-041-2/+2
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* TI: Delta learningVolpeon2023-04-031-2/+2
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* Update dataset format: Separate prompt and keywordsVolpeon2023-04-021-3/+6
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* UpdateVolpeon2023-04-021-3/+3
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* RevertVolpeon2023-04-011-1/+1
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* UpdateVolpeon2023-04-011-5/+13
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* Add support for Adafactor, add TI initializer noiseVolpeon2023-04-011-1/+2
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* Improved inverted tokensVolpeon2023-03-261-10/+9
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* Fix training with guidanceVolpeon2023-03-251-3/+9
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* UpdateVolpeon2023-03-251-15/+21
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* UpdateVolpeon2023-03-241-6/+5
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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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