├── .idea
    ├── inspectionProfiles
    │   ├── Project_Default.xml
    │   └── profiles_settings.xml
    ├── kohya_ss-docker.iml
    └── modules.xml
├── 2chAI_LoRA_Dreambooth_guide_english.pdf
├── LICENSE
├── LoRA-Explained-by-ChatGPT.pdf
├── LyCORIS_README · GitHub.pdf
├── README.md
├── data
    ├── .cache
    │   └── huggingface
    │   │   └── accelerate
    │   │       └── default_config.yaml
    └── .gitignore
├── docker-compose.yml
├── service
    ├── Dockerfile
    └── scripts
    │   ├── debug.sh
    │   ├── install-container-dep.sh
    │   ├── mount.sh
    │   └── run.sh
└── stable-diffusion-webui to load lycoris models.pdf


/.idea/inspectionProfiles/Project_Default.xml:
--------------------------------------------------------------------------------
 1 | <component name="InspectionProjectProfileManager">
 2 |   <profile version="1.0">
 3 |     <option name="myName" value="Project Default" />
 4 |     <inspection_tool class="PyPep8Inspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
 5 |       <option name="ignoredErrors">
 6 |         <list>
 7 |           <option value="E501" />
 8 |         </list>
 9 |       </option>
10 |     </inspection_tool>
11 |   </profile>
12 | </component>


--------------------------------------------------------------------------------
/.idea/inspectionProfiles/profiles_settings.xml:
--------------------------------------------------------------------------------
1 | <component name="InspectionProjectProfileManager">
2 |   <settings>
3 |     <option name="USE_PROJECT_PROFILE" value="false" />
4 |     <version value="1.0" />
5 |   </settings>
6 | </component>


--------------------------------------------------------------------------------
/.idea/kohya_ss-docker.iml:
--------------------------------------------------------------------------------
1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <module type="PYTHON_MODULE" version="4">
3 |   <component name="NewModuleRootManager">
4 |     <content url="file://$MODULE_DIR$" />
5 |     <orderEntry type="sourceFolder" forTests="false" />
6 |   </component>
7 | </module>


--------------------------------------------------------------------------------
/.idea/modules.xml:
--------------------------------------------------------------------------------
1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <project version="4">
3 |   <component name="ProjectModuleManager">
4 |     <modules>
5 |       <module fileurl="file://$PROJECT_DIR$/.idea/kohya_ss-docker.iml" filepath="$PROJECT_DIR$/.idea/kohya_ss-docker.iml" />
6 |     </modules>
7 |   </component>
8 | </project>


--------------------------------------------------------------------------------
/2chAI_LoRA_Dreambooth_guide_english.pdf:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/P2Enjoy/kohya_ss-docker/4223db60709023a9c122b2dca5f512276604cd70/2chAI_LoRA_Dreambooth_guide_english.pdf


--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/LoRA-Explained-by-ChatGPT.pdf:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/P2Enjoy/kohya_ss-docker/4223db60709023a9c122b2dca5f512276604cd70/LoRA-Explained-by-ChatGPT.pdf


--------------------------------------------------------------------------------
/LyCORIS_README · GitHub.pdf:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/P2Enjoy/kohya_ss-docker/4223db60709023a9c122b2dca5f512276604cd70/LyCORIS_README · GitHub.pdf


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # kohya_ss-docker
 2 | This is the tandem repository to exploit on linux the kohya_ss training webui converted to Linux.  
 3 | 
 4 | Read the data sections for [wheels](kohya_ss/data) and [packages](kohya_ss/data/libs) prior to compiling the image or IT WILL FAIL.
 5 | 
 6 | # Google collab version
 7 | Here is the OFFICIAL Google Collab implementation: 
 8 | - https://gist.github.com/martinobettucci/545adb371fcc6a72e8a72e66eae482dc
 9 | 
10 | # Offline on your own hardware version
11 | 
12 | ## Compile Tensorflow and XFormer for your architecture (OPTIONNAL)
13 | 
14 | There is a dockerised package of Stable Diffusion AUTOMATIC1111 we maintains here: [Stable Diffusion AUTOMATIC1111 P2Enjoy Docker Version](https://github.com/P2Enjoy/stable-diffusion-docker).  
15 | You may find the profiles to compile tensorflows and xformers there althought there is no (yet) any public instructions on how-to do so: you're free to try to figure it out by yourself or patiently wait until we will find the time to make a guide.  
16 | 
17 | ## Nvidia Docker Extensions (MANDATORY)
18 | 
19 | You will need the docker nvidia extensions, please refer to the installations details here: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit
20 | 
21 | ## TK and Xorgs (RECOMMENDED)
22 | 
23 | Remember to allow docker hosts to clients to your X server.
24 | 
25 | ```bash
26 | # Somewhat unsecure way to do (I take no responsability if you do this way).
27 | # You should add the exact host but I leave that to you.
28 | xhost local:docker
29 | ```
30 | 
31 | # Let the magic happens
32 | 
33 | Once you have built the container, you can pretty just run it via the `docker compose --profile kohya up --build` and wait for the build to finish.  
34 | A message should notify the build is complete and you can access the gui via the link on the console.  
35 | ```bash
36 | kohya-docker-kohya-1  | Running on local URL:  http://127.0.0.1:7680
37 | ```
38 | 
39 | Happy training on Linux!!!  
40 | 
41 | 


--------------------------------------------------------------------------------
/data/.cache/huggingface/accelerate/default_config.yaml:
--------------------------------------------------------------------------------
 1 | command_file: null
 2 | commands: null
 3 | compute_environment: LOCAL_MACHINE
 4 | deepspeed_config: {}
 5 | distributed_type: 'NO'
 6 | downcast_bf16: 'no'
 7 | dynamo_backend: 'NO'
 8 | fsdp_config: {}
 9 | gpu_ids: all
10 | machine_rank: 0
11 | main_process_ip: null
12 | main_process_port: null
13 | main_training_function: main
14 | megatron_lm_config: {}
15 | mixed_precision: fp16
16 | num_machines: 1
17 | num_processes: 1
18 | rdzv_backend: static
19 | same_network: true
20 | tpu_name: null
21 | tpu_zone: null
22 | use_cpu: false
23 | 


--------------------------------------------------------------------------------
/data/.gitignore:
--------------------------------------------------------------------------------
1 | *
2 | 


--------------------------------------------------------------------------------
/docker-compose.yml:
--------------------------------------------------------------------------------
 1 | version: '3.9'
 2 | 
 3 | x-gpu-base-service: &gpu_service
 4 |   #runtime: nvidia
 5 |   privileged: true
 6 |   devices:
 7 |     - /dev/nvidia0:/dev/nvidia0
 8 |     - /dev/nvidiactl:/dev/nvidiactl
 9 |     - /dev/nvidia-caps:/dev/nvidia-caps
10 |     - /dev/nvidia-modeset:/dev/nvidia-modeset
11 |     - /dev/nvidia-uvm:/dev/nvidia-uvm
12 |     - /dev/nvidia-uvm-tools:/dev/nvidia-uvm-tools
13 |   deploy:
14 |     resources:
15 |       reservations:
16 |         devices:
17 |           - driver: nvidia
18 |             device_ids: ['0']
19 |             capabilities: [gpu]
20 | 
21 | x-base_service: &base_service
22 |   user: "${UID:-0}:${GID:-0}"
23 |   #network_mode: "host"
24 |   ports:
25 |     - "7860:7680"
26 |   build:
27 |     context: ./service
28 |     args:
29 |       # Compile time args
30 |       pyver: "3.10"
31 |       pyimage: python:3.10-slim
32 |       #XFORMERS_COMMAND: /bin/bash /docker/install-container-dep.sh --upgrade-strategy only-if-needed  /docker/xformers-*.whl
33 |       XFORMERS_COMMAND: /bin/bash /docker/install-container-dep.sh xformers==0.0.20
34 |       #TORCH_COMMAND: /bin/bash /docker/install-container-dep.sh /docker/tensorflow-*.whl /docker/torch-*.whl /docker/torchvision-*.whl /docker/torchaudio-*.whl
35 |       TORCH_COMMAND: /bin/bash /docker/install-container-dep.sh torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.1+cu118
36 |       #TENSORFLOW_COMMAND: /bin/bash /docker/install-container-dep.sh /docker/tensorflow-*.whl
37 |       TENSORFLOW_COMMAND: /bin/bash /docker/install-container-dep.sh tensorflow==2.12.0
38 |       # General configuration
39 |       PIP_REPOSITORY: "https://download.pytorch.org/whl/cu118"
40 |       PYTORCH_CUDA_ALLOC_CONF: "garbage_collection_threshold:0.9,max_split_size_mb:256"
41 |       TRITON_VERSION: "2.0.0"
42 |       DEEPSPEED_VERSION: "0.9.2"
43 |       CUDNN_VERSION: "8.6.0.163"
44 |       CUDA_VERSION: cuda-11-8
45 |       CUDA_DRIVERS: cuda-drivers-535
46 |       CUDA_KEYRING: https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.1-1_all.deb
47 |       DS_BUILD_OPS: 1
48 |       TORCH_CUDA_ARCH_LIST: 7.5+PTX
49 |       NVCC_FLAGS: --use_fast_math
50 |       JAX: False
51 |       TPU: False
52 |       DEEPSPEED: False
53 |   volumes:
54 |     - &v1 ./data:/data
55 |     - &v2 /tmp/.X11-unix:/tmp/.X11-unix
56 |   deploy:
57 |     restart_policy:
58 |       delay: 5s
59 |       max_attempts: 10
60 |       window: 120s
61 |       
62 | name: kohya-docker
63 | 
64 | services:
65 | 
66 |   kohya: &kohya_service
67 |     <<: [*base_service, *gpu_service]
68 |     profiles: ["kohya"]
69 |     environment: 
70 |       - TF_ENABLE_ONEDNN_OPTS=1
71 |       - XDG_CACHE_HOME=/data/.cache
72 |       - ACCELERATE=False
73 |       - DISPLAY=unix$DISPLAY
74 |       - SAFETENSORS_FAST_GPU=1
75 | #      - RUN_ARGS=/koyah_ss/kohya_gui.py --listen 0.0.0.0 --server_port 7680
76 |       - RUN_ARGS=/koyah_ss/gui.sh --listen 0.0.0.0 --server_port 7680
77 |       - RUNNER=/docker/run.sh
78 |       
79 |   kohya_debug:
80 |     <<: [*base_service]
81 |     profiles: ["kohya_debug"]
82 |     stdin_open: true
83 |     tty: true
84 |     environment:
85 |       - RUNNER=/docker/debug.sh
86 | 


--------------------------------------------------------------------------------
/service/Dockerfile:
--------------------------------------------------------------------------------
  1 | # syntax=docker/dockerfile:1
  2 | ARG pyimage
  3 | ARG pyver
  4 | 
  5 | ############################################################################################################################################################################################
  6 | FROM $pyimage as base
  7 | 
  8 | SHELL ["/bin/bash", "-ceuxo", "pipefail"]
  9 | 
 10 | ARG TORCH_CUDA_ARCH_LIST
 11 | ARG CUDNN_VERSION
 12 | ARG NVCC_FLAGS
 13 | ARG pyver
 14 | ARG PIP_REPOSITORY
 15 | ARG CUDA_KEYRING
 16 | 
 17 | ENV NVCC_FLAGS=${NVCC_FLAGS}
 18 | ENV TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
 19 | 
 20 | ENV DEBIAN_FRONTEND=noninteractive
 21 | ENV PIP_PREFER_BINARY=1
 22 | ENV PIP_REPOSITORY=${PIP_REPOSITORY}
 23 | ENV PIP_NO_CACHE_DIR=1
 24 | ENV NVIDIA_VISIBLE_DEVICES all
 25 | ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
 26 | 
 27 | RUN <<EOF
 28 | # apt for general container dependencies
 29 | apt-get update 
 30 | apt-get install fonts-dejavu-core rsync git jq moreutils dos2unix gcc g++ -y
 31 | apt-get full-upgrade -y
 32 | apt-get autopurge -y
 33 | EOF
 34 | 
 35 | RUN <<EOF
 36 | # apt for extensions/custom scripts
 37 | apt-get install curl unzip gnupg2 moreutils git tk libglib2.0-0 libaio-dev gcc g++ wget -y
 38 | EOF
 39 | 
 40 | RUN <<EOF
 41 | # apt configurations
 42 | export VERSION_CODENAME="$(cat /etc/*-release | fgrep VERSION_CODENAME | cut -d'=' -f2)"
 43 | export VERSION_ID="$(cat /etc/*-release | fgrep VERSION_ID | cut -d'=' -f2)"
 44 | echo "
 45 | 
 46 | # Full debian sources
 47 | deb http://deb.debian.org/debian $VERSION_CODENAME main contrib
 48 | " >> /etc/apt/sources.list
 49 | apt-get update
 50 | EOF
 51 | 
 52 | RUN <<EOF
 53 | # cuda configurations
 54 | wget -O cuda-keyring.deb $CUDA_KEYRING
 55 | dpkg -i cuda-keyring.deb
 56 | apt-get update
 57 | EOF
 58 | 
 59 | COPY ./scripts/install-container-dep.sh /docker/
 60 | RUN <<EOF
 61 | # cuda cudnn + cutlass + tensorrt
 62 | /bin/bash /docker/install-container-dep.sh nvidia-cudnn-cu11==${CUDNN_VERSION}
 63 | /bin/bash /docker/install-container-dep.sh cutlass
 64 | /bin/bash /docker/install-container-dep.sh install nvidia-tensorrt
 65 | EOF
 66 | 
 67 | ############################################################################################################################################################################################
 68 | FROM base as kohya_base
 69 | 
 70 | SHELL ["/bin/bash", "-ceuxo", "pipefail"]
 71 | 
 72 | ARG TORCH_COMMAND
 73 | ARG XFORMERS_COMMAND
 74 | ARG TENSORFLOW_COMMAND
 75 | ARG DS_BUILD_OPS
 76 | ARG pyver
 77 | 
 78 | ARG DEEPSPEED
 79 | ARG DEEPSPEED_VERSION
 80 | ARG TORCH_CUDA_ARCH_LIST
 81 | ARG TRITON_VERSION
 82 | ARG JAX
 83 | ARG TPU
 84 | 
 85 | ENV pyver=${pyver}
 86 | 
 87 | ENV ROOT=/koyah_ss
 88 | 
 89 | ENV CUDART_PATH=/venv/lib/python${pyver}/site-packages/nvidia/cuda_runtime
 90 | ENV CUDNN_PATH=/venv/lib/python${pyver}/site-packages/nvidia/cudnn
 91 | ENV TENSORRT_PATH=/venv/lib/python${pyver}/site-packages/tensorrt
 92 | ENV LD_LIBRARY_PATH=$TENSORRT_PATH:$CUDNN_PATH/lib:$CUDART_PATH/lib:$LD_LIBRARY_PATH
 93 | 
 94 | RUN <<EOF
 95 | git clone https://github.com/P2Enjoy/kohya_ss.git ${ROOT}
 96 | cd ${ROOT}
 97 | python -m ensurepip
 98 | EOF
 99 | 
100 | WORKDIR ${ROOT}
101 | 
102 | RUN <<EOF
103 | # Build requirements
104 | /bin/bash /docker/install-container-dep.sh setuptools
105 | /bin/bash /docker/install-container-dep.sh wheel
106 | /bin/bash /docker/install-container-dep.sh ninja
107 | /bin/bash /docker/install-container-dep.sh pyngrok
108 | EOF
109 | 
110 | #COPY ./data/*.whl /docker/
111 | RUN <<EOF
112 | # tensorflow
113 | $TENSORFLOW_COMMAND
114 | EOF
115 | 
116 | RUN <<EOF
117 | # torch, torchvision, torchaudio
118 | $TORCH_COMMAND
119 | EOF
120 | 
121 | RUN <<EOF
122 | # xformers
123 | $XFORMERS_COMMAND
124 | EOF
125 | 
126 | RUN <<EOF
127 | # deepspeed
128 | /bin/bash /docker/install-container-dep.sh triton==${TRITON_VERSION}
129 | if [[ ! -z "${DEEPSPEED}" ]] && [[ "${DEEPSPEED}" == "True" ]]
130 | then
131 |   export NVCC_FLAGS=${NVCC_FLAGS}
132 |   export TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
133 |   export DS_BUILD_OPS=${DS_BUILD_OPS}
134 |   export DS_BUILD_SPARSE_ATTN=0 
135 |   /bin/bash /docker/install-container-dep.sh deepspeed==${DEEPSPEED_VERSION}
136 | fi
137 | EOF
138 | 
139 | ENV TPU_LIBRARY_PATH="/venv/lib/python${pyver}/site-packages/libtpu/"
140 | RUN <<EOF
141 | #jax/tpu
142 | if [[ ! -z "${TPU}" ]] && [[ "${TPU}" == "True" ]]
143 | then
144 |   /bin/bash /docker/install-container-dep.sh tpu -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
145 | fi
146 | if [[ ! -z "${JAX}" ]] && [[ "${JAX}" == "True" ]]
147 | then
148 |   /bin/bash /docker/install-container-dep.sh "jax[cuda11_cudnn805]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
149 | fi
150 | EOF
151 | 
152 | #################################################################################################################################################
153 | FROM kohya_base as kohya_cuda
154 | 
155 | ARG CUDA_VERSION
156 | ARG CUDA_DRIVERS
157 | ARG pyver
158 | 
159 | ENV CUDA_HOME=/usr/local/cuda
160 | ENV PATH=$PATH:$CUDA_HOME/bin
161 | ENV LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH
162 | 
163 | RUN <<EOF
164 | # Hotfix for libnvinfer7
165 | ln -s $TENSORRT_PATH/libnvinfer.so.8 $TENSORRT_PATH/libnvinfer.so.7
166 | ln -s $TENSORRT_PATH/libnvinfer_plugin.so.8 $TENSORRT_PATH/libnvinfer_plugin.so.7
167 | EOF
168 | 
169 | RUN <<EOF
170 | # cuda driver update
171 | apt-get update
172 | apt-get -y install $CUDA_DRIVERS
173 | apt-get -y install $CUDA_VERSION
174 | EOF
175 | 
176 | ############################################################################################################################################################################################
177 | FROM kohya_cuda as kohya
178 | 
179 | WORKDIR ${ROOT}
180 | 
181 | RUN <<EOF
182 | # installing kohya trainer scripts
183 | git pull --rebase
184 | /bin/bash /docker/install-container-dep.sh --use-pep517 --upgrade -r ${ROOT}/requirements.txt
185 | EOF
186 | 
187 | #################################################################################################################################################
188 | COPY ./scripts/*.sh /docker/
189 | RUN <<EOF
190 | chmod +x /docker/{run,mount,debug}.sh
191 | EOF
192 | 
193 | # Kohya gui
194 | EXPOSE 7680
195 | # Tensorboard
196 | EXPOSE 6006
197 | 
198 | ENTRYPOINT $RUNNER $RUN_ARGS
199 | 
200 | 


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/service/scripts/debug.sh:
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1 | #!/bin/bash
2 | 
3 | echo "Please attach a interactive shell to this container, CTRL+C to gracefully stop this image"
4 | echo "Arguments were: " $@
5 | read 
6 | 


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/service/scripts/install-container-dep.sh:
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 1 | #!/bin/bash
 2 | #install-container-dep
 3 | 
 4 | if [ ! -d "/venv" ];
 5 | then
 6 |   pip install --upgrade virtualenv
 7 |   virtualenv -p python3 /venv
 8 | fi
 9 | source /venv/bin/activate;
10 | pip install --extra-index-url ${PIP_REPOSITORY} $@ | tee >(ts "%d-%m-%y-%H-%M-%.S" > /docker/build-$(date "+%Y.%m.%d-%H.%M.%S.%N").log)
11 | 


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/service/scripts/mount.sh:
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 1 | #!/bin/bash
 2 | 
 3 | set -Eeuo pipefail
 4 | 
 5 | declare -A MOUNTS
 6 | 
 7 | MOUNTS["/usr/local/cuda-11.1/targets/x86_64-linux/lib/libnvrtc-builtins.so"]="/usr/local/cuda/lib64/libnvrtc-builtins.so"
 8 | MOUNTS["/usr/local/cuda-11.1/targets/x86_64-linux/lib/libnvrtc.so"]="/usr/local/cuda/lib64/libnvrtc.so"
 9 | MOUNTS["/usr/local/cuda-11.0/targets/x86_64-linux/lib/libcudart.so.11.0"]="/usr/local/cuda/lib64/libcudart.so"
10 | MOUNTS["/usr/local/cuda-11.0/targets/x86_64-linux/lib/libcudart.so.11.0"]="/usr/local/cuda/lib64/libcudart.so.11.0"
11 | 
12 | MOUNTS["/usr/local/cuda-11.1/targets/x86_64-linux/lib/libnvrtc-builtins.so"]="/usr/lib/x86_64-linux-gnu/libnvrtc-builtins.so"
13 | MOUNTS["/usr/local/cuda-11.1/targets/x86_64-linux/lib/libnvrtc.so"]="/usr/lib/x86_64-linux-gnu/libnvrtc.so"
14 | MOUNTS["/usr/local/cuda-11.0/targets/x86_64-linux/lib/libcudart.so.11.0"]="/usr/lib/x86_64-linux-gnu/libcudart.so"
15 | MOUNTS["/usr/local/cuda-11.0/targets/x86_64-linux/lib/libcudart.so.11.0"]="/usr/lib/x86_64-linux-gnu/lib64/libcudart.so.11.0"
16 | 
17 | MOUNTS["${ROOT}/data"]="/data"
18 | 
19 | # main
20 | #MOUNTS["${ROOT}/models/VAE-approx"]="/data/VAE-approx"
21 | 
22 | for to_path in "${!MOUNTS[@]}"; do
23 |   set -Eeuo pipefail
24 |   from_path="${MOUNTS[${to_path}]}"
25 |   rm -rf "${to_path}"
26 |   mkdir -vp "$(dirname "${to_path}")"
27 |   ln -sT "${from_path}" "${to_path}"
28 |   echo Mounted $(basename "${from_path}")
29 | done
30 | 
31 | 


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/service/scripts/run.sh:
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 1 | #!/bin/bash
 2 | 
 3 | set -Eeuo pipefail
 4 | 
 5 | . /docker/mount.sh
 6 | 
 7 | # Load environment
 8 | source "/venv/bin/activate"
 9 | 
10 | # Hack ProtoBuffer
11 | wget https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py -O /venv/lib/python${pyver}/site-packages/google/protobuf/internal/builder.py
12 | 
13 | # check python
14 | python --version
15 | # check libraries
16 | pip freeze | tee /data/requirements.txt
17 | #check tensors
18 | python <<EOF
19 | import torch
20 | for devid in range(0,torch.cuda.device_count()):
21 |         print('torch.cuda.get_device_name()')
22 |         print(torch.cuda.get_device_name(devid))
23 | 
24 | import tensorflow
25 | from tensorflow.python.compiler.tensorrt import trt_convert as trt
26 | 
27 | print('tensorflow.__version__')
28 | print(tensorflow.__version__)
29 | print('trt.trt_utils._pywrap_py_utils.get_linked_tensorrt_version()')
30 | print(trt.trt_utils._pywrap_py_utils.get_linked_tensorrt_version())
31 | print('trt.trt_utils._pywrap_py_utils.get_loaded_tensorrt_version()')
32 | print(trt.trt_utils._pywrap_py_utils.get_loaded_tensorrt_version())
33 | EOF
34 | 
35 | # Workaround for memory leak
36 | if [[ ! -L "/usr/lib/x86_64-linux-gnu/libtcmalloc.so" ]]; then
37 |   apt-get -y install libgoogle-perftools-dev
38 | fi
39 | export LD_PRELOAD=libtcmalloc.so
40 | 
41 | cd "${ROOT}" && bash ./upgrade.sh
42 | if [[ -n "${ACCELERATE}" ]] && [[ "${ACCELERATE}" = "True" ]] && [[ -x "$(command -v accelerate)" ]]
43 | then
44 |     echo "Accelerating with distributed GPU+CPU..."
45 |     accelerate launch --num_cpu_threads_per_process=6 $@
46 | else
47 |     echo "Loading GUI unbuffered..."
48 |     $@
49 | fi
50 | 
51 | echo "Shutting down in 10 seconds"
52 | sleep 10
53 | 


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/stable-diffusion-webui to load lycoris models.pdf:
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https://raw.githubusercontent.com/P2Enjoy/kohya_ss-docker/4223db60709023a9c122b2dca5f512276604cd70/stable-diffusion-webui to load lycoris models.pdf


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