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* Don't rely on Accelerate for gradient accumulationVolpeon2023-02-212-30/+29
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* Embedding normalization: Ignore tensors with grad = 0Volpeon2023-02-212-6/+16
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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 NightlyVolpeon2023-02-174-9/+8
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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
* UpdateVolpeon2023-02-133-3/+3
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* Fixed Lora trainingVolpeon2023-02-081-18/+5
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* Fix Lora memory usageVolpeon2023-02-074-9/+3
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* Add LoraVolpeon2023-02-074-37/+214
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* Restored LR finderVolpeon2023-01-206-393/+82
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* Move Accelerator preparation into strategyVolpeon2023-01-193-16/+48
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* UpdateVolpeon2023-01-174-14/+19
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* FixVolpeon2023-01-171-4/+5
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* FixVolpeon2023-01-171-1/+0
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* Make embedding decay work like Adam decayVolpeon2023-01-171-9/+5
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* UpdateVolpeon2023-01-172-8/+8
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* UpdateVolpeon2023-01-174-21/+38
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* Training updateVolpeon2023-01-163-12/+15
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* Moved multi-TI code from Dreambooth to TI scriptVolpeon2023-01-161-3/+14
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* More training adjustmentsVolpeon2023-01-163-8/+9
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* Handle empty validation datasetVolpeon2023-01-163-47/+58
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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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* Added Dreambooth strategyVolpeon2023-01-151-0/+183
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* Restored functional trainerVolpeon2023-01-152-27/+83
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* UpdateVolpeon2023-01-153-119/+64
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* Removed unused code, put training callbacks in dataclassVolpeon2023-01-152-44/+39
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* Added functional TI strategyVolpeon2023-01-152-0/+282
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* Added functional trainerVolpeon2023-01-151-1/+74
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* UpdateVolpeon2023-01-142-122/+24
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* UpdateVolpeon2023-01-141-10/+9
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* WIP: Modularization ("free(): invalid pointer" my ass)Volpeon2023-01-143-220/+130
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* TI: Prepare UNet with Accelerate as wellVolpeon2023-01-142-27/+26
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* FixVolpeon2023-01-141-1/+1
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* CleanupVolpeon2023-01-142-60/+63
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* Reverted modularization mostlyVolpeon2023-01-135-531/+70
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* More modularizationVolpeon2023-01-136-32/+541
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* Simplified step calculationsVolpeon2023-01-131-20/+22
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* Removed PromptProcessor, modularized training loopVolpeon2023-01-132-10/+208
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* Code deduplicationVolpeon2023-01-131-0/+55
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* UpdateVolpeon2023-01-121-4/+7
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* FixVolpeon2023-01-111-2/+2
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* TI: Use grad clipping from LoRA #104Volpeon2023-01-111-1/+1
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* Added arg to disable tag shufflingVolpeon2023-01-101-10/+10
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* Fixed aspect ratio bucketing; allow passing token IDs to pipelineVolpeon2023-01-081-6/+8
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