space-nuko
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da48f74e7b
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Add new version model/VAE hash to training metadata
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2023-01-18 23:00:16 -08:00 |
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space-nuko
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de1dde1a06
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More helpful metadata
- dataset/reg image dirs
- random session ID
- keep_tokens
- training date
- output name
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2023-01-17 16:28:35 -08:00 |
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Kohya S
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aa40cb9345
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Add train epochs and max workers option to train
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2023-01-15 13:07:47 +09:00 |
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Kohya S
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e4f9b2b715
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Add VAE to meatada, add no_metadata option
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2023-01-11 23:12:18 +09:00 |
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space-nuko
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0c4423d9dc
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Add epoch number to metadata
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2023-01-10 02:50:04 -08:00 |
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space-nuko
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2e4ce0fdff
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Add training metadata to output LoRA model
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2023-01-10 02:49:52 -08:00 |
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Kohya S
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fbaf373c8a
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fix gradient accum not used for lr schduler
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2023-01-09 13:13:37 +09:00 |
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Kohya S
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6b62c44022
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fix errors in fine tuning
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2023-01-08 21:40:40 +09:00 |
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Kohya S
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9f1d3aca24
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add save_state_on_train end, fix reg imgs repeats
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2023-01-07 20:20:37 +09:00 |
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Kohya S
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f56988b252
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unify dataset and save functions
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2023-01-05 08:10:22 +09:00 |
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Kohya S
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4c35006731
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split common function from train_network to util
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2023-01-03 20:22:25 +09:00 |
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Kohya S
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6b522b34c1
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move code for xformers to train_util
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2023-01-02 16:08:21 +09:00 |
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Yuta Hayashibe
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0f20453997
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Fix typos
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2022-12-31 14:39:36 +09:00 |
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Kohya S
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64de791f2c
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set default dataset_repeats to 1, resolution check
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2022-12-29 20:12:09 +09:00 |
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Kohya S
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445b34de1f
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Add LoRA training/generating.
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2022-12-25 21:34:59 +09:00 |
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