| Commit message (Expand) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | Low freq noise with randomized strength | Volpeon | 2023-03-03 | 1 | -1/+8 |
| * | Better low freq noise | Volpeon | 2023-03-02 | 1 | -1/+1 |
| * | Changed low freq noise | Volpeon | 2023-03-01 | 1 | -23/+10 |
| * | Update | Volpeon | 2023-03-01 | 10 | -535/+39 |
| * | Fixed TI normalization order | Volpeon | 2023-02-21 | 3 | -15/+19 |
| * | Fix | Volpeon | 2023-02-21 | 1 | -6/+3 |
| * | Don't rely on Accelerate for gradient accumulation | Volpeon | 2023-02-21 | 5 | -33/+32 |
| * | Embedding normalization: Ignore tensors with grad = 0 | Volpeon | 2023-02-21 | 7 | -45/+31 |
| * | Update | Volpeon | 2023-02-18 | 5 | -15/+30 |
| * | Added Lion optimizer | Volpeon | 2023-02-17 | 7 | -39/+592 |
| * | Inference script: Better scheduler config | Volpeon | 2023-02-17 | 1 | -19/+37 |
| * | Back to xformers | Volpeon | 2023-02-17 | 5 | -12/+14 |
| * | Remove xformers, switch to Pytorch Nightly | Volpeon | 2023-02-17 | 10 | -644/+27 |
| * | Fix | Volpeon | 2023-02-16 | 1 | -4/+2 |
| * | Integrated WIP UniPC scheduler | Volpeon | 2023-02-16 | 6 | -14/+655 |
| * | Update | Volpeon | 2023-02-15 | 3 | -1/+3 |
| * | Improved batch padding | Volpeon | 2023-02-15 | 1 | -29/+26 |
| * | Better batch filling | Volpeon | 2023-02-15 | 1 | -3/+6 |
| * | Better batch filling behavior | Volpeon | 2023-02-15 | 1 | -3/+7 |
| * | Dataset: Repeat data to fill batch to batch_size | Volpeon | 2023-02-15 | 1 | -0/+3 |
| * | Made low-freq noise configurable | Volpeon | 2023-02-14 | 1 | -6/+11 |
| * | Better noise generation during training: https://www.crosslabs.org/blog/diffu... | Volpeon | 2023-02-13 | 1 | -0/+7 |
| * | Update | Volpeon | 2023-02-13 | 10 | -65/+73 |
| * | Integrate Self-Attention-Guided (SAG) Stable Diffusion in my custom pipeline | Volpeon | 2023-02-08 | 4 | -17/+164 |
| * | Fixed Lora training | Volpeon | 2023-02-08 | 4 | -37/+35 |
| * | Fix Lora memory usage | Volpeon | 2023-02-07 | 5 | -11/+5 |
| * | Add Lora | Volpeon | 2023-02-07 | 10 | -93/+819 |
| * | Restored LR finder | Volpeon | 2023-01-20 | 9 | -397/+111 |
| * | Move Accelerator preparation into strategy | Volpeon | 2023-01-19 | 4 | -19/+51 |
| * | Update | Volpeon | 2023-01-17 | 5 | -22/+25 |
| * | Optimized embedding normalization | Volpeon | 2023-01-17 | 1 | -5/+2 |
| * | Smaller emb decay | Volpeon | 2023-01-17 | 1 | -1/+1 |
| * | Fix | Volpeon | 2023-01-17 | 1 | -4/+5 |
| * | Fix | Volpeon | 2023-01-17 | 1 | -1/+0 |
| * | Make embedding decay work like Adam decay | Volpeon | 2023-01-17 | 2 | -21/+9 |
| * | Update | Volpeon | 2023-01-17 | 4 | -9/+12 |
| * | Update | Volpeon | 2023-01-17 | 6 | -73/+104 |
| * | Training update | Volpeon | 2023-01-16 | 5 | -16/+25 |
| * | If valid set size is 0, re-use one image from train set | Volpeon | 2023-01-16 | 2 | -6/+2 |
| * | Moved multi-TI code from Dreambooth to TI script | Volpeon | 2023-01-16 | 4 | -244/+131 |
| * | More training adjustments | Volpeon | 2023-01-16 | 6 | -43/+101 |
| * | Pad dataset if len(items) < batch_size | Volpeon | 2023-01-16 | 2 | -20/+23 |
| * | Handle empty validation dataset | Volpeon | 2023-01-16 | 6 | -76/+91 |
| * | Extended Dreambooth: Train TI tokens separately | Volpeon | 2023-01-16 | 3 | -71/+84 |
| * | Implemented extended Dreambooth training | Volpeon | 2023-01-16 | 4 | -372/+200 |
| * | Added Dreambooth strategy | Volpeon | 2023-01-15 | 2 | -23/+206 |
| * | Restored functional trainer | Volpeon | 2023-01-15 | 5 | -104/+112 |
| * | Fixed Conda env | Volpeon | 2023-01-15 | 1 | -2/+4 |
| * | Update | Volpeon | 2023-01-15 | 5 | -162/+106 |
| * | Removed unused code, put training callbacks in dataclass | Volpeon | 2023-01-15 | 7 | -1470/+40 |
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