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* Better noise generation during training: ↵Volpeon2023-02-131-0/+7
| | | | https://www.crosslabs.org/blog/diffusion-with-offset-noise
* UpdateVolpeon2023-02-1310-65/+73
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* Integrate Self-Attention-Guided (SAG) Stable Diffusion in my custom pipelineVolpeon2023-02-084-17/+164
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* Fixed Lora trainingVolpeon2023-02-084-37/+35
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* Fix Lora memory usageVolpeon2023-02-075-11/+5
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* Add LoraVolpeon2023-02-0710-93/+819
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* Restored LR finderVolpeon2023-01-209-397/+111
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* Move Accelerator preparation into strategyVolpeon2023-01-194-19/+51
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* UpdateVolpeon2023-01-175-22/+25
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* Optimized embedding normalizationVolpeon2023-01-171-5/+2
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* Smaller emb decayVolpeon2023-01-171-1/+1
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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 decayVolpeon2023-01-172-21/+9
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* UpdateVolpeon2023-01-174-9/+12
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* UpdateVolpeon2023-01-176-73/+104
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* Training updateVolpeon2023-01-165-16/+25
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* If valid set size is 0, re-use one image from train setVolpeon2023-01-162-6/+2
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* Moved multi-TI code from Dreambooth to TI scriptVolpeon2023-01-164-244/+131
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* More training adjustmentsVolpeon2023-01-166-43/+101
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* Pad dataset if len(items) < batch_sizeVolpeon2023-01-162-20/+23
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* Handle empty validation datasetVolpeon2023-01-166-76/+91
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* Extended Dreambooth: Train TI tokens separatelyVolpeon2023-01-163-71/+84
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* Implemented extended Dreambooth trainingVolpeon2023-01-164-372/+200
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* Added Dreambooth strategyVolpeon2023-01-152-23/+206
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* Restored functional trainerVolpeon2023-01-155-104/+112
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* Fixed Conda envVolpeon2023-01-151-2/+4
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* UpdateVolpeon2023-01-155-162/+106
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* Removed unused code, put training callbacks in dataclassVolpeon2023-01-157-1470/+40
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* Added functional TI strategyVolpeon2023-01-153-78/+312
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* Added functional trainerVolpeon2023-01-153-37/+101
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* UpdateVolpeon2023-01-146-127/+33
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* UpdateVolpeon2023-01-144-15/+15
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* WIP: Modularization ("free(): invalid pointer" my ass)Volpeon2023-01-1411-286/+1541
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* TI: Prepare UNet with Accelerate as wellVolpeon2023-01-143-39/+41
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* FixVolpeon2023-01-144-6/+6
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* CleanupVolpeon2023-01-147-131/+103
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* Unified training script structureVolpeon2023-01-132-130/+84
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* Reverted modularization mostlyVolpeon2023-01-137-613/+458
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* More modularizationVolpeon2023-01-139-653/+677
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* Simplified step calculationsVolpeon2023-01-132-33/+33
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* Removed PromptProcessor, modularized training loopVolpeon2023-01-139-293/+334
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* Added TI decay start offsetVolpeon2023-01-132-3/+9
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* Code deduplicationVolpeon2023-01-136-146/+149
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* UpdateVolpeon2023-01-123-34/+63
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* Fixed TI decayVolpeon2023-01-122-9/+12
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* Disable Adam weight decayVolpeon2023-01-121-1/+1
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* FixVolpeon2023-01-112-5/+5
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* HeckVolpeon2023-01-111-1/+1
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* TI: Use grad clipping from LoRA #104Volpeon2023-01-114-12/+15
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