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{
"cells": [
{
"cell_type": "markdown",
"id": "d520cdce-6234-40b8-9a6d-c0d073249e62",
"metadata": {},
"source": [
"**此代码适用于新镜像:192.168.204.22:5000/default-workspace/99280a9940ae44ca8f5892134386fddb/image:sd_final**"
]
},
{
"cell_type": "markdown",
"id": "a48381fe",
"metadata": {},
"source": [
"# 首次使用先复制镜像(左侧目录有sd就不用按这个):"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "145e099f",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"#复制镜像\n",
"!cp -r /sd /code\n",
"!cp /t/lora/sd-models/131-half.safetensors /code/sd/models/Stable-diffusion\n",
"!echo \"finish-copy\"\n",
"#查看显卡\n",
"!echo 你的GPU是:& nvidia-smi -L"
]
},
{
"cell_type": "markdown",
"id": "ca9e8951-2c27-4241-b2dd-27ed20aa748f",
"metadata": {},
"source": [
"# 30min定时关机脚本:(无限白嫖GPU):\n",
"### **详细见**:https://github.com/2575044704/auto_shutdown"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d2a91be9-3337-443f-b8e0-1617a2486ef3",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import subprocess\n",
"try:\n",
" process = subprocess.Popen([\"bash\", \"shutdown.sh\"])\n",
" print(\"自动关机脚本已启动\")\n",
"except Exception as e:\n",
" print(f\"启动自动关机脚本失败,错误:{e}\")"
]
},
{
"cell_type": "markdown",
"id": "9459c185",
"metadata": {},
"source": [
"# SD启动:"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "84f9609a",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%cd /code/sd\n",
"import os\n",
"package_envs = [\n",
" {\"env\": \"STABLE_DIFFUSION_REPO\", \"url\": os.environ.get('STABLE_DIFFUSION_REPO', \"https://gitcode.net/overbill1683/stablediffusion\")},\n",
" {\"env\": \"STABLE_DIFFUSION_XL_REPO\", \"url\": os.environ.get('STABLE_DIFFUSION_XL_REPO', \"https://gitcode.net/overbill1683/generative-models\")},\n",
" {\"env\": \"K_DIFFUSION_REPO\", \"url\": os.environ.get('K_DIFFUSION_REPO', \"https://gitcode.net/overbill1683/k-diffusion\")},\n",
" {\"env\": \"CODEFORMER_REPO\", \"url\": os.environ.get('CODEFORMER_REPO', \"https://gitcode.net/overbill1683/CodeFormer\")},\n",
" {\"env\": \"BLIP_REPO\", \"url\": os.environ.get('BLIP_REPO', \"https://gitcode.net/overbill1683/BLIP\")},\n",
"]\n",
"os.environ[\"PIP_INDEX_URL\"] = \"https://mirrors.aliyun.com/pypi/simple/\"\n",
"for i in package_envs:\n",
" os.environ[i[\"env\"]] = i[\"url\"]\n",
" \n",
"# 请记得填写ngrok token\n",
"!python launch.py --ngrok=你的token --ad-no-huggingface --no-download-sd-model --opt-channelslast --xformers --api --no-hashing --skip-torch-cuda-test"
]
},
{
"cell_type": "markdown",
"id": "9eeb5985",
"metadata": {},
"source": [
"-------"
]
},
{
"cell_type": "markdown",
"id": "9e26887f",
"metadata": {},
"source": [
"# 下载模型,直接把模型下载地址粘贴进去\n",
"# 支持的模型下载站:liblib.ai, tusiart.com, Huggingface镜像站\n",
"# 不支持的:Civitai,\n",
"## HUggingface镜像站:huggingface.sukaka.top\n",
"## 必须先把SD停下来再执行代码!"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7c3e8600",
"metadata": {},
"outputs": [],
"source": [
"# 下载 模型\n",
"urls = ['https://huggingface.sukaka.top/datasets/ACCC1380/private-model/resolve/main/ba.safetensors']\n",
"\n",
"下载目录 = '/code/sd/models/Lora'\n",
"\n",
"文件名 = \"wodemoxing.safetensors\"\n",
"# SD大模型目录 :/code/sd/models/Lora\n",
"# Lora目录:/code/sd/models/Lora\n",
"# VAE目录:/code/sd/models/VAE\n",
"\n",
"%cd {下载目录}\n",
"for url in urls:\n",
" !aria2c -x 16 -s 16 -c -k 1M --console-log-level=error \"{url}\" -o \"{文件名}\"\n",
"%cd /code"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6098be12",
"metadata": {},
"outputs": [],
"source": [
"## 安装常用插件,github如果连不上就多执行几次\n",
"extensions = [\n",
"\"https://gitcode.net/ranting8323/sd-webui-controlnet\",\n",
"]\n",
"%cd /code/sd\n",
"\n",
"for e in extensions:\n",
" proxied_url = e\n",
" !git -C \"extensions\" clone {proxied_url}"
]
},
{
"cell_type": "markdown",
"id": "17062dc1-2083-41fb-9a67-5a9f623b1276",
"metadata": {},
"source": [
"------------------"
]
},
{
"cell_type": "markdown",
"id": "a69b680b-c87d-4219-9eec-d69baec9f2c9",
"metadata": {},
"source": [
"# 下面代码是启动秋叶的Lora训练器:"
]
},
{
"cell_type": "markdown",
"id": "0d89e635-77a2-4c18-b126-e914e30d8841",
"metadata": {},
"source": [
"# 1.拉取lora训练文件(首次启动)(左侧有lora文件夹就不用拉取)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "451c1e08-7eb0-4dab-92e2-6f7879f68c08",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"!cp -r /t/lora/ /code"
]
},
{
"cell_type": "markdown",
"id": "9f2ae3fa-1729-4a58-8e6f-92cfd1c12597",
"metadata": {},
"source": [
"# 2. 启动Lora训练器"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2f53478e-1788-45d1-9a12-a757f81edde5",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# 先配置ngrok再启动!!,启动后找到ngrok链接即可!\n",
"import os\n",
"%cd /code/lora\n",
"!/code/lora/venv/bin/python gui.py --disable-dataset-tag-editor & ngrok http 28000 --authtoken=你的ngroktoken"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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