trainSD3/trainSD3_CLI.sh

#使用 bash指令執行這個腳本 ---> bash kohya_ss.sh  
#!/bin/bash
wget --trust-server-name --content-disposition https://huggingface.co/housearch/thu/resolve/main/trainSD3/download_caption_sd3.py
wget --trust-server-name --content-disposition https://huggingface.co/housearch/thu/resolve/main/trainSD3/config_lora_bf16_sd3.toml
wget --trust-server-name --content-disposition https://huggingface.co/housearch/thu/resolve/main/trainSD3/prompt.txt
cd /workspace
python -m venv env 
source /workspace/env/bin/activate
pip install datasets huggingface_hub Pillow
python download_caption_sd3.py
deactivate
cd /workspace
git clone https://github.com/kohya-ss/sd-scripts
cd sd-scripts
#預設是訓練SD1.5, SDXL的版本，如果要訓練SD3, Flux 必須切換至sd3
git branch -a
git checkout sd3

'''
另開 terminal 視窗，把以下內容貼上並按下enter執行，直接下載訓練Flux LoRA必須的相關模型(節省時間)

cd /workspace
wget --trust-server-name --content-disposition  https://huggingface.co/second-state/stable-diffusion-3.5-large-GGUF/resolve/dff185441d61601155591a46f691d7f73151acdd/sd3.5_large.safetensors

wget --trust-server-name --content-disposition https://huggingface.co/second-state/stable-diffusion-3.5-large-GGUF/resolve/dff185441d61601155591a46f691d7f73151acdd/t5xxl_fp16.safetensors

wget --trust-server-name --content-disposition https://huggingface.co/second-state/stable-diffusion-3.5-large-GGUF/resolve/dff185441d61601155591a46f691d7f73151acdd/clip_l.safetensors

wget --trust-server-name --content-disposition https://huggingface.co/second-state/stable-diffusion-3.5-large-GGUF/resolve/dff185441d61601155591a46f691d7f73151acdd/clip_g.safetensors

'''

cd /workspace/sd-scripts
python -m venv env 
source /workspace/sd-scripts/env/bin/activate
pip3 install torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/cu124
pip install --upgrade -r requirements.txt
#pip install torchvision==0.19.0  xformers

mkdir /workspace/train/
mkdir /workspace/train/img
mkdir /workspace/train/log
mkdir /workspace/train/model
mkdir /workspace/train/model/sample
cp -R /workspace/datasets /workspace/train/img/4_overhedlandscape
cp /workspace/prompt.txt /workspace/train/model/sample/prompt.txt
'''
accelerate launch --multi_gpu --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --gpu_ids 0,1,2 --num_processes 3 --num_machines 1 --num_cpu_threads_per_process 2 sd3_train_network.py --config_file /workspace/config_lora_bf16_sd3.toml

tensorboard --host 0.0.0.0 --logdir=/workspace/train/log
'''