| Commit message (Collapse) | Author | Age | Files | Lines | ||
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| * | Fix | Volpeon | 2023-02-21 | 1 | -6/+3 | |
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| * | Don't rely on Accelerate for gradient accumulation | Volpeon | 2023-02-21 | 5 | -33/+32 | |
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| * | Embedding normalization: Ignore tensors with grad = 0 | Volpeon | 2023-02-21 | 7 | -45/+31 | |
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| * | Update | Volpeon | 2023-02-18 | 5 | -15/+30 | |
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| * | Added Lion optimizer | Volpeon | 2023-02-17 | 7 | -39/+592 | |
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| * | Inference script: Better scheduler config | Volpeon | 2023-02-17 | 1 | -19/+37 | |
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| * | Back to xformers | Volpeon | 2023-02-17 | 5 | -12/+14 | |
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| * | Remove xformers, switch to Pytorch Nightly | Volpeon | 2023-02-17 | 10 | -644/+27 | |
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| * | Fix | Volpeon | 2023-02-16 | 1 | -4/+2 | |
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| * | Integrated WIP UniPC scheduler | Volpeon | 2023-02-16 | 6 | -14/+655 | |
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| * | Update | Volpeon | 2023-02-15 | 3 | -1/+3 | |
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| * | Improved batch padding | Volpeon | 2023-02-15 | 1 | -29/+26 | |
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| * | Better batch filling | Volpeon | 2023-02-15 | 1 | -3/+6 | |
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| * | Better batch filling behavior | Volpeon | 2023-02-15 | 1 | -3/+7 | |
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| * | Dataset: Repeat data to fill batch to batch_size | Volpeon | 2023-02-15 | 1 | -0/+3 | |
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| * | Made low-freq noise configurable | Volpeon | 2023-02-14 | 1 | -6/+11 | |
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| * | Better noise generation during training: ↵ | Volpeon | 2023-02-13 | 1 | -0/+7 | |
| | | | | | https://www.crosslabs.org/blog/diffusion-with-offset-noise | |||||
| * | Update | Volpeon | 2023-02-13 | 10 | -65/+73 | |
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| * | Integrate Self-Attention-Guided (SAG) Stable Diffusion in my custom pipeline | Volpeon | 2023-02-08 | 4 | -17/+164 | |
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| * | Fixed Lora training | Volpeon | 2023-02-08 | 4 | -37/+35 | |
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| * | Fix Lora memory usage | Volpeon | 2023-02-07 | 5 | -11/+5 | |
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| * | Add Lora | Volpeon | 2023-02-07 | 10 | -93/+819 | |
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| * | Restored LR finder | Volpeon | 2023-01-20 | 9 | -397/+111 | |
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| * | Move Accelerator preparation into strategy | Volpeon | 2023-01-19 | 4 | -19/+51 | |
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| * | Update | Volpeon | 2023-01-17 | 5 | -22/+25 | |
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| * | Optimized embedding normalization | Volpeon | 2023-01-17 | 1 | -5/+2 | |
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| * | Smaller emb decay | Volpeon | 2023-01-17 | 1 | -1/+1 | |
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| * | Fix | Volpeon | 2023-01-17 | 1 | -4/+5 | |
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| * | Fix | Volpeon | 2023-01-17 | 1 | -1/+0 | |
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| * | Make embedding decay work like Adam decay | Volpeon | 2023-01-17 | 2 | -21/+9 | |
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| * | Update | Volpeon | 2023-01-17 | 4 | -9/+12 | |
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| * | Update | Volpeon | 2023-01-17 | 6 | -73/+104 | |
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| * | Training update | Volpeon | 2023-01-16 | 5 | -16/+25 | |
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| * | If valid set size is 0, re-use one image from train set | Volpeon | 2023-01-16 | 2 | -6/+2 | |
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| * | Moved multi-TI code from Dreambooth to TI script | Volpeon | 2023-01-16 | 4 | -244/+131 | |
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| * | More training adjustments | Volpeon | 2023-01-16 | 6 | -43/+101 | |
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| * | Pad dataset if len(items) < batch_size | Volpeon | 2023-01-16 | 2 | -20/+23 | |
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| * | Handle empty validation dataset | Volpeon | 2023-01-16 | 6 | -76/+91 | |
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| * | Extended Dreambooth: Train TI tokens separately | Volpeon | 2023-01-16 | 3 | -71/+84 | |
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| * | Implemented extended Dreambooth training | Volpeon | 2023-01-16 | 4 | -372/+200 | |
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| * | Added Dreambooth strategy | Volpeon | 2023-01-15 | 2 | -23/+206 | |
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| * | Restored functional trainer | Volpeon | 2023-01-15 | 5 | -104/+112 | |
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| * | Fixed Conda env | Volpeon | 2023-01-15 | 1 | -2/+4 | |
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| * | Update | Volpeon | 2023-01-15 | 5 | -162/+106 | |
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| * | Removed unused code, put training callbacks in dataclass | Volpeon | 2023-01-15 | 7 | -1470/+40 | |
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| * | Added functional TI strategy | Volpeon | 2023-01-15 | 3 | -78/+312 | |
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| * | Added functional trainer | Volpeon | 2023-01-15 | 3 | -37/+101 | |
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| * | Update | Volpeon | 2023-01-14 | 6 | -127/+33 | |
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| * | Update | Volpeon | 2023-01-14 | 4 | -15/+15 | |
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| * | WIP: Modularization ("free(): invalid pointer" my ass) | Volpeon | 2023-01-14 | 11 | -286/+1541 | |
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