Credit:

This script package from bdsqlsz

use kohya-ss/sd-scripts (github.com) for core

original script from Akegarasu/lora-scripts: LoRA training scripts use kohya-ss's trainer, for diffusion model. (github.com)

How to use:

0、(windows)Give unrestricted script access to powershell so venv can work:

• Open an administrator powershell window

• Type Set-ExecutionPolicy Unrestricted and answer A

• Close admin powershell window

1、Unzip this to anyway you want(Recommend with other train program which has venv)

if you Update it,just Rerun install-cn-qinglong.ps1.then enter N

2、Run install-cn-qinglong.ps1 in windows(linux just use commnd line)

it will automatically install environment(if you has venv,just put to over it)

3、Put your datesets in /input dir.

a formattting:
./input/2_lora/(datasets images)

4、Run tagger.ps1 for tagger them,automatically.(linux use tagger.sh)

5、Edit your datesets if your want

6、Edit train script(train_8Glora or train_16G_DB)(linux use train_tacanime)

just for

1. train_mode(lora、db、sdxl_lora、sdxl_db、cn3l)

2. pretrained_model

3. train_data_dir

   a formatting ./input/

4. resolution(SDXL for 1024*1024,sd1.5 for 576*576)

5. max and min bucket repo(SDXL 640~1536,sd1.5:256~1024)

6. optimizer(SDXL:adaFactor for batch size1,Pagedadamw8bit for batch size 4)

other dont need more change if you dont know it

if i can help you ,i will very happy that~

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