Commit Graph

17 Commits

Author SHA1 Message Date
bmaltais
8822eab5a6 Merge new sd-scripts updates 2023-03-28 11:54:42 -04:00
bmaltais
1c8d901c3b Update to latest sd-scripts updates 2023-03-21 20:20:57 -04:00
bmaltais
ccae80186a Update to latest sd-script code 2023-03-20 08:47:00 -04:00
bmaltais
2deddd5f3c Update to sd-script latest update 2023-03-09 11:06:59 -05:00
bmaltais
2eb7b3bdc3 Fix issues with code detected while testing 2023-03-08 21:16:54 -05:00
bmaltais
7249b0baa8 Update to latest sd-script release
add gui support for sample config
2023-03-06 19:15:02 -05:00
bmaltais
2a5fb346d5 Sinc to latest code update on sd-script 2023-02-22 13:30:29 -05:00
bmaltais
34ab8448fb Fix issue where dadaptation code was pushed by mistake 2023-02-20 08:26:45 -05:00
bmaltais
611a0f3e76
Merge branch 'master' into dev 2023-02-19 20:16:44 -05:00
bmaltais
bb57c1a36e Update code to latest sd-script version 2023-02-19 06:50:33 -05:00
bmaltais
655f885cf4 Add dadapation to other trainers 2023-02-16 19:33:33 -05:00
bmaltais
641a168e55 Integrate new kohya sd-script 2023-02-14 18:52:08 -05:00
bmaltais
a49fb9cb8c 2023/02/11 (v20.7.2):
- ``lora_interrogator.py`` is added in ``networks`` folder. See ``python networks\lora_interrogator.py -h`` for usage.
        - For LoRAs where the activation word is unknown, this script compares the output of Text Encoder after applying LoRA to that of unapplied to find out which token is affected by LoRA. Hopefully you can figure out the activation word. LoRA trained with captions does not seem to be able to interrogate.
        - Batch size can be large (like 64 or 128).
    - ``train_textual_inversion.py`` now supports multiple init words.
    - Following feature is reverted to be the same as before. Sorry for confusion:
        > Now the number of data in each batch is limited to the number of actual images (not duplicated). Because a certain bucket may contain smaller number of actual images, so the batch may contain same (duplicated) images.
    - Add new tool to sort, group and average crop image in a dataset
2023-02-11 11:59:38 -05:00
bmaltais
7bc93821a0 2023/02/09 (v20.7.1)
- Caption dropout is supported in ``train_db.py``, ``fine_tune.py`` and ``train_network.py``. Thanks to forestsource!
        - ``--caption_dropout_rate`` option specifies the dropout rate for captions (0~1.0, 0.1 means 10% chance for dropout). If dropout occurs, the image is trained with the empty caption. Default is 0 (no dropout).
        - ``--caption_dropout_every_n_epochs`` option specifies how many epochs to drop captions. If ``3`` is specified, in epoch 3, 6, 9 ..., images are trained with all captions empty. Default is None (no dropout).
        - ``--caption_tag_dropout_rate`` option specified the dropout rate for tags (comma separated tokens) (0~1.0, 0.1 means 10% chance for dropout). If dropout occurs, the tag is removed from the caption. If ``--keep_tokens`` option is set, these tokens (tags) are not dropped. Default is 0 (no droupout).
        - The bulk image downsampling script is added. Documentation is [here](https://github.com/kohya-ss/sd-scripts/blob/main/train_network_README-ja.md#%E7%94%BB%E5%83%8F%E3%83%AA%E3%82%B5%E3%82%A4%E3%82%BA%E3%82%B9%E3%82%AF%E3%83%AA%E3%83%97%E3%83%88) (in Jpanaese). Thanks to bmaltais!
        - Typo check is added. Thanks to shirayu!
    - Add option to autolaunch the GUI in a browser and set the server_port. USe either `gui.ps1 --inbrowser --server_port 3456`or `gui.cmd -inbrowser -server_port 3456`
2023-02-09 19:17:24 -05:00
bmaltais
09d3a72cd8 Adding support for caption dropout 2023-02-07 20:58:35 -05:00
bmaltais
2486af9903 Update to latest dev code of kohya_s. WIP 2023-02-05 14:16:53 -05:00
bmaltais
03bd2e9b01 Add TI training support 2023-01-26 16:22:58 -05:00