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https://github.com/stepfunction83/sd-scripts/tree/new_cache#distribution-of-timesteps
https://private-user-images.githubusercontent.com/52813779/362680051-d9de42f9-f17d-40da-b88d-d964402569c6.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.erhEbct-gNg8401ahPDA_aur1YfgM609OLgJHPZRA4o
https://private-user-images.githubusercontent.com/52813779/362680161-27029009-1f5d-4dc0-bb24-13d02ac4fdad.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.nX55JANJ4BgK_rcdXQMmuJMadZ0FXUXBzRXE001WUTA
https://private-user-images.githubusercontent.com/52813779/362680248-08a2267c-e47e-48b7-826e-f9a080787cdc.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.kburmj8fcnG8ZuwiDt6D1oNknR6ajztenvqxzsm0flA
https://github.com/stepfunction83/sd-scripts/tree/new_cache#key-features-for-flux1-lora-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#specify-rank-for-each-layer-in-flux1
https://github.com/stepfunction83/sd-scripts/tree/new_cache#specify-blocks-to-train-in-flux1-lora-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#flux1-controlnet-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#flux1-oft-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#inference-for-flux1-with-lora-model
https://github.com/stepfunction83/sd-scripts/tree/new_cache#flux1-fine-tuning
https://github.com/stepfunction83/sd-scripts/tree/new_cache#how-to-use-block-swap
https://github.com/stepfunction83/sd-scripts/tree/new_cache#training-with-24gb-vram-gpus
https://github.com/stepfunction83/sd-scripts/tree/new_cache#key-features-for-flux1-fine-tuning
https://github.com/stepfunction83/sd-scripts/tree/new_cache#extract-lora-from-flux1-models
https://github.com/stepfunction83/sd-scripts/tree/new_cache#convert-flux-lora
https://github.com/stepfunction83/sd-scripts/tree/new_cache#merge-lora-to-flux1-checkpoint
https://github.com/stepfunction83/sd-scripts/tree/new_cache#flux1-multi-resolution-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#convert-diffusers-to-flux1
https://github.com/stepfunction83/sd-scripts/tree/new_cache#sd3-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#sd3-lora-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#key-options-for-sd3-lora-training
SAI research paprehttp://arxiv.org/pdf/2403.03206
SD3.5M model cardhttps://huggingface.co/stabilityai/stable-diffusion-3.5-medium
https://github.com/stepfunction83/sd-scripts/tree/new_cache#key-features-for-sd3-lora-training
SD3 paperhttps://arxiv.org/abs/2403.03206v1
https://private-user-images.githubusercontent.com/52813779/383958540-99a72c67-adfb-4440-81d4-a718985ff350.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.2O8fARwTKtwiLt0_MMcnJdtLf5Y2O13dB4VP2BNu4eU
https://github.com/stepfunction83/sd-scripts/tree/new_cache#specify-rank-for-each-layer-in-sd3-lora
https://github.com/stepfunction83/sd-scripts/tree/new_cache#specify-blocks-to-train-in-sd3-lora-training
https://github.com/stepfunction83/sd-scripts/tree/new_cache#inference-for-sd3-with-lora-model
https://github.com/stepfunction83/sd-scripts/tree/new_cache#sd3-fine-tuning
https://github.com/stepfunction83/sd-scripts/tree/new_cache#extract-lora-from-sd3-models
https://github.com/stepfunction83/sd-scripts/tree/new_cache#convert-sd3-lora
https://github.com/stepfunction83/sd-scripts/tree/new_cache#merge-lora-to-sd3-checkpoint
Change Historyhttps://github.com/stepfunction83/sd-scripts/tree/new_cache#change-history
ページ末尾https://github.com/stepfunction83/sd-scripts/tree/new_cache#change-history
日本語版READMEはこちらhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/README-ja.md
the repository maintained by bmaltaishttps://github.com/bmaltais/kohya_ss
https://github.com/stepfunction83/sd-scripts/tree/new_cache#about-requirementstxt
https://github.com/stepfunction83/sd-scripts/tree/new_cache#links-to-usage-documentation
English translation by darkstorm2150 is herehttps://github.com/darkstorm2150/sd-scripts#links-to-usage-documentation
Training guide - commonhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_README-ja.md
Chinese versionhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_README-zh.md
SDXL traininghttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_SDXL-en.md
Dataset confighttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/config_README-ja.md
English versionhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/config_README-en.md
DreamBooth training guidehttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_db_README-ja.md
Step by Step fine-tuning guidehttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/fine_tune_README_ja.md
Training LoRAhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_network_README-ja.md
Training Textual Inversionhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_ti_README-ja.md
Image generationhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/gen_img_README-ja.md
Model conversionhttps://note.com/kohya_ss/n/n374f316fe4ad
https://github.com/stepfunction83/sd-scripts/tree/new_cache#windows-required-dependencies
https://www.python.org/ftp/python/3.10.6/python-3.10.6-amd64.exehttps://www.python.org/ftp/python/3.10.6/python-3.10.6-amd64.exe
https://git-scm.com/download/winhttps://git-scm.com/download/win
https://github.com/stepfunction83/sd-scripts/tree/new_cache#windows-installation
https://github.com/stepfunction83/sd-scripts/tree/new_cache#upgrade
https://github.com/stepfunction83/sd-scripts/tree/new_cache#upgrade-pytorch
Windows Installationhttps://github.com/stepfunction83/sd-scripts/tree/new_cache#windows-installation
https://github.com/stepfunction83/sd-scripts/tree/new_cache#credits
cloneofsimo's repohttps://github.com/cloneofsimo/lora
LoConhttps://github.com/KohakuBlueleaf/LoCon
https://github.com/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#change-history
https://github.com/stepfunction83/sd-scripts/tree/new_cache#working-in-progress
Upgradehttps://github.com/stepfunction83/sd-scripts/tree/new_cache#upgrade
#1715https://github.com/kohya-ss/sd-scripts/pull/1715
the PRhttps://github.com/kohya-ss/sd-scripts/pull/1715
#1717https://github.com/kohya-ss/sd-scripts/pull/1717
#1632https://github.com/kohya-ss/sd-scripts/pull/1632
#1640https://github.com/kohya-ss/sd-scripts/pull/1640
#1628https://github.com/kohya-ss/sd-scripts/pull/1628
#1393https://github.com/kohya-ss/sd-scripts/pull/1393
transformers documentationhttps://huggingface.co/docs/transformers/v4.44.2/en/main_classes/optimizer_schedules#schedules
kohya-ss#1393https://github.com/kohya-ss/sd-scripts/pull/1393
#1426https://github.com/kohya-ss/sd-scripts/pull/1426
#1433https://github.com/kohya-ss/sd-scripts/pull/1433
#1505https://github.com/kohya-ss/sd-scripts/pull/1505
#1259https://github.com/kohya-ss/sd-scripts/pull/1259
#1319https://github.com/kohya-ss/sd-scripts/pull/1319
#1233https://github.com/kohya-ss/sd-scripts/pull/1233
#1223https://github.com/kohya-ss/sd-scripts/pull/1223
About masked losshttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/masked_loss_README.md
#1331https://github.com/kohya-ss/sd-scripts/pull/1331
Block-wise learning rates in LoRAhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_network_README-ja.md#%E9%9A%8E%E5%B1%A4%E5%88%A5%E5%AD%A6%E7%BF%92%E7%8E%87
#1277https://github.com/kohya-ss/sd-scripts/pull/1277
#1285https://github.com/kohya-ss/sd-scripts/pull/1285
#1284https://github.com/kohya-ss/sd-scripts/pull/1284
#1353https://github.com/kohya-ss/sd-scripts/pull/1353
#1359https://github.com/kohya-ss/sd-scripts/pull/1359
#1266https://github.com/kohya-ss/sd-scripts/pull/1266
#1278https://github.com/kohya-ss/sd-scripts/pull/1278
#1291https://github.com/kohya-ss/sd-scripts/pull/1291
#1290https://github.com/kohya-ss/sd-scripts/pull/1290
#1312https://github.com/kohya-ss/sd-scripts/pull/1312
#1313https://github.com/kohya-ss/sd-scripts/pull/1312
#1322https://github.com/kohya-ss/sd-scripts/pull/1322
#1247https://github.com/kohya-ss/sd-scripts/pull/1247
#1259https://github.com/kohya-ss/sd-scripts/pull/1259
#1319https://github.com/kohya-ss/sd-scripts/pull/1319
#1233https://github.com/kohya-ss/sd-scripts/pull/1233
#1223https://github.com/kohya-ss/sd-scripts/pull/1223
マスクロスについてhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/masked_loss_README-ja.md
#1331https://github.com/kohya-ss/sd-scripts/pull/1331
LoRA の階層別学習率https://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_network_README-ja.md#%E9%9A%8E%E5%B1%A4%E5%88%A5%E5%AD%A6%E7%BF%92%E7%8E%87
#1277https://github.com/kohya-ss/sd-scripts/pull/1277
#1285https://github.com/kohya-ss/sd-scripts/pull/1285
#1284https://github.com/kohya-ss/sd-scripts/pull/1284
#1353https://github.com/kohya-ss/sd-scripts/pull/1353
#1359https://github.com/kohya-ss/sd-scripts/pull/1359
#1266https://github.com/kohya-ss/sd-scripts/pull/1266
#1278https://github.com/kohya-ss/sd-scripts/pull/1278
#1291https://github.com/kohya-ss/sd-scripts/pull/1291
#1290https://github.com/kohya-ss/sd-scripts/pull/1290
#1312https://github.com/kohya-ss/sd-scripts/pull/1312
#1313https://github.com/kohya-ss/sd-scripts/pull/1313
#1322https://github.com/kohya-ss/sd-scripts/pull/1322
#1247https://github.com/kohya-ss/sd-scripts/pull/1247
https://github.com/stepfunction83/sd-scripts/tree/new_cache#oct-27-2024--2024-10-27
https://github.com/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#jun-23-2024--2024-06-23
https://github.com/stepfunction83/sd-scripts/tree/new_cache#apr-7-2024--2024-04-07-v087
https://github.com/stepfunction83/sd-scripts/tree/new_cache#apr-7-2024--2024-04-07-v086
https://github.com/stepfunction83/sd-scripts/tree/new_cache#highlights
Upgradehttps://github.com/stepfunction83/sd-scripts/tree/new_cache#upgrade
Upgrade PyTorchhttps://github.com/stepfunction83/sd-scripts/tree/new_cache#upgrade-pytorch
#1123https://github.com/kohya-ss/sd-scripts/pull/1123
#1240https://github.com/kohya-ss/sd-scripts/pull/1240
https://github.com/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#about-masked-loss
#1228https://github.com/kohya-ss/sd-scripts/pull/1228/
Scheduled Huber Losshttps://github.com/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#dataset-settings
English version of the dataset settings documentationhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/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/stepfunction83/sd-scripts/blob/new_cache/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/stepfunction83/sd-scripts/blob/new_cache/docs/config_README-en.md#dreambooth-specific-options
https://github.com/stepfunction83/sd-scripts/tree/new_cache#image-tagging
#1192https://github.com/kohya-ss/sd-scripts/pull/1192
#1216https://github.com/kohya-ss/sd-scripts/pull/1216
Tagging documentationhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/wd14_tagger_README-en.md
https://github.com/stepfunction83/sd-scripts/tree/new_cache#about-masked-loss
LLLite documentationhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_lllite_README.md#preparing-the-dataset
https://github.com/stepfunction83/sd-scripts/tree/new_cache#about-scheduled-huber-loss
#1228https://github.com/kohya-ss/sd-scripts/pull/1228/
Releaseshttps://github.com/kohya-ss/sd-scripts/releases
https://github.com/stepfunction83/sd-scripts/tree/new_cache#主要な変更点
アップグレードhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/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/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#%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/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/tree/new_cache#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/stepfunction83/sd-scripts/blob/new_cache/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/stepfunction83/sd-scripts/blob/new_cache/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/stepfunction83/sd-scripts/blob/new_cache/docs/config_README-en.md
#1175https://github.com/kohya-ss/sd-scripts/pull/1175
https://github.com/stepfunction83/sd-scripts/tree/new_cache#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
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https://github.com/stepfunction83/sd-scripts/tree/new_cache#マスクロスについて
LLLite ドキュメントhttps://github.com/stepfunction83/sd-scripts/blob/new_cache/docs/train_lllite_README-ja.md#%E3%83%87%E3%83%BC%E3%82%BF%E3%82%BB%E3%83%83%E3%83%88%E3%81%AE%E6%BA%96%E5%82%99
https://github.com/stepfunction83/sd-scripts/tree/new_cache#scheduled-huber-loss-について
#1228https://github.com/kohya-ss/sd-scripts/pull/1228/
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https://github.com/stepfunction83/sd-scripts/tree/new_cache#sample-image-generation-during-training
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