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| author | Volpeon <git@volpeon.ink> | 2023-03-31 22:17:26 +0200 |
|---|---|---|
| committer | Volpeon <git@volpeon.ink> | 2023-03-31 22:17:26 +0200 |
| commit | bf24028a869c849a29d23b05db0284a158d201f0 (patch) | |
| tree | dc90ed7d2c6da10ded6f2c98d0f504f9372b6683 | |
| parent | Update (diff) | |
| download | textual-inversion-diff-bf24028a869c849a29d23b05db0284a158d201f0.tar.gz textual-inversion-diff-bf24028a869c849a29d23b05db0284a158d201f0.tar.bz2 textual-inversion-diff-bf24028a869c849a29d23b05db0284a158d201f0.zip | |
Update
| -rw-r--r-- | train_dreambooth.py | 4 | ||||
| -rw-r--r-- | train_lora.py | 4 | ||||
| -rw-r--r-- | train_ti.py | 4 |
3 files changed, 9 insertions, 3 deletions
diff --git a/train_dreambooth.py b/train_dreambooth.py index 2c884d2..3a25efa 100644 --- a/train_dreambooth.py +++ b/train_dreambooth.py | |||
| @@ -611,7 +611,9 @@ def main(): | |||
| 611 | num_train_epochs = args.num_train_epochs | 611 | num_train_epochs = args.num_train_epochs |
| 612 | sample_frequency = args.sample_frequency | 612 | sample_frequency = args.sample_frequency |
| 613 | if num_train_epochs is None: | 613 | if num_train_epochs is None: |
| 614 | num_train_epochs = math.ceil(args.num_train_steps / len(datamodule.train_dataset)) | 614 | num_train_epochs = math.ceil( |
| 615 | args.num_train_steps / len(datamodule.train_dataset) | ||
| 616 | ) * args.gradient_accumulation_steps | ||
| 615 | sample_frequency = math.ceil(num_train_epochs * (sample_frequency / args.num_train_steps)) | 617 | sample_frequency = math.ceil(num_train_epochs * (sample_frequency / args.num_train_steps)) |
| 616 | 618 | ||
| 617 | params_to_optimize = (unet.parameters(), ) | 619 | params_to_optimize = (unet.parameters(), ) |
diff --git a/train_lora.py b/train_lora.py index 59beb09..f74a438 100644 --- a/train_lora.py +++ b/train_lora.py | |||
| @@ -643,7 +643,9 @@ def main(): | |||
| 643 | num_train_epochs = args.num_train_epochs | 643 | num_train_epochs = args.num_train_epochs |
| 644 | sample_frequency = args.sample_frequency | 644 | sample_frequency = args.sample_frequency |
| 645 | if num_train_epochs is None: | 645 | if num_train_epochs is None: |
| 646 | num_train_epochs = math.ceil(args.num_train_steps / len(datamodule.train_dataset)) | 646 | num_train_epochs = math.ceil( |
| 647 | args.num_train_steps / len(datamodule.train_dataset) | ||
| 648 | ) * args.gradient_accumulation_steps | ||
| 647 | sample_frequency = math.ceil(num_train_epochs * (sample_frequency / args.num_train_steps)) | 649 | sample_frequency = math.ceil(num_train_epochs * (sample_frequency / args.num_train_steps)) |
| 648 | 650 | ||
| 649 | optimizer = create_optimizer( | 651 | optimizer = create_optimizer( |
diff --git a/train_ti.py b/train_ti.py index 83043ad..dd015f9 100644 --- a/train_ti.py +++ b/train_ti.py | |||
| @@ -774,7 +774,9 @@ def main(): | |||
| 774 | num_train_epochs = args.num_train_epochs | 774 | num_train_epochs = args.num_train_epochs |
| 775 | sample_frequency = args.sample_frequency | 775 | sample_frequency = args.sample_frequency |
| 776 | if num_train_epochs is None: | 776 | if num_train_epochs is None: |
| 777 | num_train_epochs = math.ceil(args.num_train_steps / len(datamodule.train_dataset)) | 777 | num_train_epochs = math.ceil( |
| 778 | args.num_train_steps / len(datamodule.train_dataset) | ||
| 779 | ) * args.gradient_accumulation_steps | ||
| 778 | sample_frequency = math.ceil(num_train_epochs * (sample_frequency / args.num_train_steps)) | 780 | sample_frequency = math.ceil(num_train_epochs * (sample_frequency / args.num_train_steps)) |
| 779 | 781 | ||
| 780 | optimizer = create_optimizer( | 782 | optimizer = create_optimizer( |