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sdxl_minimal_inference.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/sdxl_minimal_inference.py
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train_network.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/train_network.py
train_network.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/train_network.py
train_textual_inversion.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/train_textual_inversion.py
train_textual_inversion.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/train_textual_inversion.py
train_textual_inversion_XTI.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/train_textual_inversion_XTI.py
train_textual_inversion_XTI.pyhttps://github.com/Inokinoki/sd-scripts/blob/main/train_textual_inversion_XTI.py
READMEhttps://github.com/Inokinoki/sd-scripts
Licensehttps://github.com/Inokinoki/sd-scripts
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日本語版READMEはこちらhttps://github.com/Inokinoki/sd-scripts/blob/main/README-ja.md
the repository maintained by bmaltaishttps://github.com/bmaltais/kohya_ss
https://github.com/Inokinoki/sd-scripts#about-requirementstxt
https://github.com/Inokinoki/sd-scripts#links-to-usage-documentation
English translation by darkstorm2150 is herehttps://github.com/darkstorm2150/sd-scripts#links-to-usage-documentation
Training guide - commonhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_README-ja.md
Chinese versionhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_README-zh.md
SDXL traininghttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_SDXL-en.md
Dataset confighttps://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-ja.md
English versionhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-en.md
DreamBooth training guidehttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_db_README-ja.md
Step by Step fine-tuning guidehttps://github.com/Inokinoki/sd-scripts/blob/main/docs/fine_tune_README_ja.md
Training LoRAhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_network_README-ja.md
Training Textual Inversionhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_ti_README-ja.md
Image generationhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/gen_img_README-ja.md
Model conversionhttps://note.com/kohya_ss/n/n374f316fe4ad
https://github.com/Inokinoki/sd-scripts#windows-required-dependencies
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https://github.com/Inokinoki/sd-scripts#windows-installation
https://github.com/Inokinoki/sd-scripts#upgrade
https://github.com/Inokinoki/sd-scripts#upgrade-pytorch
Windows Installationhttps://github.com/Inokinoki/sd-scripts#windows-installation
https://github.com/Inokinoki/sd-scripts#credits
cloneofsimo's repohttps://github.com/cloneofsimo/lora
LoConhttps://github.com/KohakuBlueleaf/LoCon
https://github.com/Inokinoki/sd-scripts#license
Memory Efficient Attention Pytorchhttps://github.com/lucidrains/memory-efficient-attention-pytorch
bitsandbyteshttps://github.com/TimDettmers/bitsandbytes
BLIPhttps://github.com/salesforce/BLIP
https://github.com/Inokinoki/sd-scripts#change-history
https://github.com/Inokinoki/sd-scripts#oct-27-2024--2024-10-27
https://github.com/Inokinoki/sd-scripts#oct-26-2024--2024-10-26
#1722https://github.com/kohya-ss/sd-scripts/pull/1722
#1722https://github.com/kohya-ss/sd-scripts/pull/1722
https://github.com/Inokinoki/sd-scripts#sep-13-2024--2024-09-13
#1580https://github.com/kohya-ss/sd-scripts/pull/1580
#1575https://github.com/kohya-ss/sd-scripts/pull/1575
LoRA Block Weighthttps://github.com/hako-mikan/sd-webui-lora-block-weight
#1580https://github.com/kohya-ss/sd-scripts/pull/1580
#1575https://github.com/kohya-ss/sd-scripts/pull/1575
LoRA Block Weighthttps://github.com/hako-mikan/sd-webui-lora-block-weight
https://github.com/Inokinoki/sd-scripts#jun-23-2024--2024-06-23
https://github.com/Inokinoki/sd-scripts#apr-7-2024--2024-04-07-v087
https://github.com/Inokinoki/sd-scripts#apr-7-2024--2024-04-07-v086
https://github.com/Inokinoki/sd-scripts#highlights
Upgradehttps://github.com/Inokinoki/sd-scripts#upgrade
Upgrade PyTorchhttps://github.com/Inokinoki/sd-scripts#upgrade-pytorch
#1123https://github.com/kohya-ss/sd-scripts/pull/1123
#1240https://github.com/kohya-ss/sd-scripts/pull/1240
https://github.com/Inokinoki/sd-scripts#training-scripts
#1101https://github.com/kohya-ss/sd-scripts/pull/1101
#1139https://github.com/kohya-ss/sd-scripts/pull/1139
#1101https://github.com/kohya-ss/sd-scripts/pull/1101
#1207https://github.com/kohya-ss/sd-scripts/pull/1207
Masked losshttps://github.com/Inokinoki/sd-scripts#about-masked-loss
#1228https://github.com/kohya-ss/sd-scripts/pull/1228/
Scheduled Huber Losshttps://github.com/Inokinoki/sd-scripts#about-scheduled-huber-loss
#1177https://github.com/kohya-ss/sd-scripts/pull/1177
#1168https://github.com/kohya-ss/sd-scripts/pull/1168
https://github.com/Inokinoki/sd-scripts#dataset-settings
English version of the dataset settings documentationhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-en.md
#1175https://github.com/kohya-ss/sd-scripts/pull/1175
#1167https://github.com/kohya-ss/sd-scripts/pull/1167
#1205https://github.com/kohya-ss/sd-scripts/pull/1205
Dataset confighttps://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-en.md
#1178https://github.com/kohya-ss/sd-scripts/pull/1178
#1206https://github.com/kohya-ss/sd-scripts/pull/1206
DreamBooth method specific optionshttps://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-en.md#dreambooth-specific-options
https://github.com/Inokinoki/sd-scripts#image-tagging
#1192https://github.com/kohya-ss/sd-scripts/pull/1192
#1216https://github.com/kohya-ss/sd-scripts/pull/1216
Tagging documentationhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/wd14_tagger_README-en.md
https://github.com/Inokinoki/sd-scripts#about-masked-loss
LLLite documentationhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/train_lllite_README.md#preparing-the-dataset
https://github.com/Inokinoki/sd-scripts#about-scheduled-huber-loss
#1228https://github.com/kohya-ss/sd-scripts/pull/1228/
Releaseshttps://github.com/kohya-ss/sd-scripts/releases
https://github.com/Inokinoki/sd-scripts#主要な変更点
アップグレードhttps://github.com/Inokinoki/sd-scripts/blob/main/README-ja.md#%E3%82%A2%E3%83%83%E3%83%97%E3%82%B0%E3%83%AC%E3%83%BC%E3%83%89
#1123https://github.com/kohya-ss/sd-scripts/pull/1123
#1240https://github.com/kohya-ss/sd-scripts/pull/1240
https://github.com/Inokinoki/sd-scripts#学習スクリプト
#1101https://github.com/kohya-ss/sd-scripts/pull/1101
#1139https://github.com/kohya-ss/sd-scripts/pull/1139
#1101https://github.com/kohya-ss/sd-scripts/pull/1101
#1207https://github.com/kohya-ss/sd-scripts/pull/1207
マスクロスについてhttps://github.com/Inokinoki/sd-scripts#%E3%83%9E%E3%82%B9%E3%82%AF%E3%83%AD%E3%82%B9%E3%81%AB%E3%81%A4%E3%81%84%E3%81%A6
#1228https://github.com/kohya-ss/sd-scripts/pull/1228/
Scheduled Huber Loss についてhttps://github.com/Inokinoki/sd-scripts#scheduled-huber-loss-%E3%81%AB%E3%81%A4%E3%81%84%E3%81%A6
#1177https://github.com/kohya-ss/sd-scripts/pull/1177
#1168https://github.com/kohya-ss/sd-scripts/pull/1168
https://github.com/Inokinoki/sd-scripts#データセット設定
#1167https://github.com/kohya-ss/sd-scripts/pull/1167
#1205https://github.com/kohya-ss/sd-scripts/pull/1205
データセット設定https://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-ja.md
#1178https://github.com/kohya-ss/sd-scripts/pull/1178
#1206https://github.com/kohya-ss/sd-scripts/pull/1206
データセット設定https://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-ja.md#dreambooth-%E6%96%B9%E5%BC%8F%E5%B0%82%E7%94%A8%E3%81%AE%E3%82%AA%E3%83%97%E3%82%B7%E3%83%A7%E3%83%B3
英語版ドキュメントhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/config_README-en.md
#1175https://github.com/kohya-ss/sd-scripts/pull/1175
https://github.com/Inokinoki/sd-scripts#画像のタグ付け
#1192https://github.com/kohya-ss/sd-scripts/pull/1192
#1216https://github.com/kohya-ss/sd-scripts/pull/1216
タグ付けに関するドキュメントhttps://github.com/Inokinoki/sd-scripts/blob/main/docs/wd14_tagger_README-ja.md
https://github.com/Inokinoki/sd-scripts#マスクロスについて
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https://github.com/Inokinoki/sd-scripts#scheduled-huber-loss-について
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