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{
"cells": [
{
"cell_type": "markdown",
"id": "6247c454-ae5d-4fa2-80e5-1918ccd4d094",
"metadata": {},
"source": [
"# 启智云云端部署Stable Diffusion WebUI\n",
"## 永久免费白嫖A100 24G/40G/80G显卡！\n",
"### 唯一项目地址：https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.6.1\n",
"### 唯一项目地址：https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.6.1\n",
"### 唯一项目地址：https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-v1.6.1\n",
"### 其它项目都是盗版！坚决不要相信此云端的显卡要给租金才能用！"
]
},
{
"cell_type": "markdown",
"id": "091be464",
"metadata": {},
"source": [
"## By Nyan9 BiliBili。QQ2575044704\n",
"此为20元付费脚本，未经同意禁止公开此脚本。\n",
"如果要公开，请删除所有全部关键代码"
]
},
{
"cell_type": "markdown",
"id": "48852a6e",
"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": 2,
"id": "0da5ecae",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"你的GPU运行状态：\n",
"Tue Mar 26 21:33:25 2024 \n",
"+---------------------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version: 12.2 |\n",
"|-----------------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|=========================================+======================+======================|\n",
"| 0 NVIDIA A100-SXM4-80GB On | 00000000:89:00.0 Off | 0 |\n",
"| N/A 32C P0 64W / 400W | 4MiB / 81920MiB | 0% Default |\n",
"| | | Disabled |\n",
"+-----------------------------------------+----------------------+----------------------+\n",
" \n",
"+---------------------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=======================================================================================|\n",
"| No running processes found |\n",
"+---------------------------------------------------------------------------------------+\n"
]
}
],
"source": [
"。"
]
},
{
"cell_type": "markdown",
"id": "932a01c4",
"metadata": {},
"source": [
"# SD启动：\n",
"## 出现http//:127.0.0.1:7860后从内网穿透连接进入SD-WebUI！不是本地地址"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "929ee5ea-15e7-48cd-8c8a-09316b75ad18",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"everyone.safetensors openi_resource.version\t模型1.3.safetensors\n",
"niji.safetensors xuanliduocai.safetensors\t漫画模型.safetensors\n"
]
}
],
"source": [
"#先复制模型\n",
"。。。。。"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a52ebf7d",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Errno 2] No such file or directory: '/tmp/code/sd'\n",
"/sd\n",
"Python 3.10.9 (main, May 15 2023, 07:38:08) [GCC 11.3.0]\n",
"Version: v1.7.0-1-g167206da\n",
"Commit hash: 167206dafd7ea357ec3824e853f6dab024b6a338\n",
"Installing requirements\n",
"ControlNet init warning: Unable to install insightface automatically. Please try run `pip install insightface` manually.\n",
"Launching Web UI with arguments: --ckpt-dir=/tmp/pretrainmodel --ngrok=2douOsr61tUyYwMVF3lfj9uZGoa_6FPJ2x1xhKPbL6z4euKkM --ngrok-region=ap --ad-no-huggingface --no-download-sd-model --opt-channelslast --xformers --api --no-hashing --skip-torch-cuda-test --api-auth=123:123\n",
"ngrok authtoken detected, trying to connect...\n",
"ngrok connected to localhost:7860! URL: https://81fc-218-17-115-213.ngrok-free.app\n",
"\n",
"Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.\n",
"\u001b[1m[\u001b[0m-\u001b[1m]\u001b[0m ADetailer initialized. version: \u001b[1;36m24.1\u001b[0m.\u001b[1;36m2\u001b[0m, num models: \u001b[1;36m4\u001b[0m\n",
"ControlNet preprocessor location: /sd/extensions/sd-webui-controlnet/annotator/downloads\n",
"2024-03-24 23:37:37,861 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.441\n",
"2024-03-24 23:37:38,007 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet v1.1.441\n",
"sd-webui-prompt-all-in-one background API service started successfully.\n",
"Checkpoint 131-half.safetensors [870fa2e24c] not found; loading fallback stable_diffusion_model_01/everyone.safetensors\n",
"Loading weights [None] from /tmp/pretrainmodel/stable_diffusion_model_01/everyone.safetensors\n",
"2024-03-24 23:37:39,868 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet UI callback registered.\n",
"Creating model from config: /sd/configs/v1-inference.yaml\n",
"Running on local URL: http://127.0.0.1:7860\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n",
"Startup time: 28.6s (prepare environment: 12.7s, import torch: 2.9s, import gradio: 1.3s, setup paths: 1.4s, initialize shared: 0.3s, other imports: 2.0s, setup codeformer: 0.1s, load scripts: 2.7s, create ui: 2.0s, gradio launch: 2.8s, add APIs: 0.2s).\n",
"Couldn't find VAE named pastel-waifu-diffusion.vae.pt; using None instead\n",
"Applying attention optimization: xformers... done.\n",
"Model loaded in 34.5s (load weights from disk: 1.6s, create model: 1.3s, apply weights to model: 31.1s, calculate empty prompt: 0.2s).\n"
]
}
],
"source": [
"# 点击这个启动SD\n",
"。。。。。。。。。。。。。。。。。。。。。。。"
]
},
{
"cell_type": "markdown",
"id": "0e0dc739",
"metadata": {},
"source": [
"-------"
]
},
{
"cell_type": "markdown",
"id": "54a6b833",
"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": 8,
"id": "e1d736de",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/tmp/code/sd/models/Lora\n",
"\u001b[35m[\u001b[0m#36562e 153MiB/162MiB\u001b[36m(94%)\u001b[0m CN:9 DL:\u001b[32m62MiB\u001b[0m\u001b[35m]\u001b[0m\u001b[0mm\n",
"Download Results:\n",
"gid |stat|avg speed |path/URI\n",
"======+====+===========+=======================================================\n",
"36562e|\u001b[1;32mOK\u001b[0m | 47MiB/s|/tmp/code/sd/models/Lora/Baiyu.safetensors\n",
"\n",
"Status Legend:\n",
"(OK):download completed.\n",
"/tmp/code\n"
]
}
],
"source": [
"代码呢？"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "741c1a0c",
"metadata": {},
"outputs": [],
"source": [
"。。"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "4097b906",
"metadata": {
"tags": []
},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "EOL while scanning string literal (680814184.py, line 13)",
"output_type": "error",
"traceback": [
"\u001b[0;36m Cell \u001b[0;32mIn[3], line 13\u001b[0;36m\u001b[0m\n\u001b[0;31m \"https://gidsgdsmncvknsnkdvsnkdvsknd\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m EOL while scanning string literal\n"
]
}
],
"source": [
"## 安装常用插件，github如果连不上就多执行几次\n",
"extensions = [\n",
"\"https://github.com/Mikubill/sd-webui-controlnet\",\n",
"代码被砂糖酱吃掉了！\n",
" asfknaskfnf\n",
" asfasv\n",
"\n",
"\n",
"sfhkahsffhaksfa\n",
"sf\n",
"asf\n",
"\n",
"sf\n",
"as\n",
"f\n",
"asffas\n",
"saf\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"草草草草草草草草草草草草草草草草草草草"
]
},
{
"cell_type": "markdown",
"id": "a28903ba",
"metadata": {},
"source": [
"------------------"
]
},
{
"cell_type": "markdown",
"id": "902e6634",
"metadata": {},
"source": [
"# 下面代码是启动秋叶的Lora训练器："
]
},
{
"cell_type": "markdown",
"id": "13585ce5",
"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": 11,
"id": "dcf2eeb6",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Object `（空）` not found.\n"
]
},
{
"ename": "NameError",
"evalue": "name 'aa' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[11], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpinfo\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m（空）\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 2\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mshow_usage()\n\u001b[0;32m----> 3\u001b[0m \u001b[43maa\u001b[49m\n",
"\u001b[0;31mNameError\u001b[0m: name 'aa' is not defined"
]
}
],
"source": [
"\n",
"?（空）\n",
"??\n",
"aa"
]
},
{
"cell_type": "markdown",
"id": "0ec71212",
"metadata": {},
"source": [
"# 2. 启动Lora训练器"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a2b0612a",
"metadata": {
"tags": []
},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid character in identifier (2822435047.py, line 4)",
"output_type": "error",
"traceback": [
"\u001b[0;36m Cell \u001b[0;32mIn[5], line 4\u001b[0;36m\u001b[0m\n\u001b[0;31m 忘记了原来代码怎么写的？？\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid character in identifier\n"
]
}
],
"source": [
"代码被砂糖酱吃掉了！\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "db459d42-54b2-4f32-9a5a-fb9b6b681ba9",
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (3528668389.py, line 2)",
"output_type": "error",
"traceback": [
"\u001b[0;36m Cell \u001b[0;32mIn[13], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m 先从打印hello world开始\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
"source": [
"自学python区\n",
"先从打印hello world开始"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "5968dbc3-1a87-425e-8de6-e7c2517d66d2",
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid character in identifier (816423590.py, line 1)",
"output_type": "error",
"traceback": [
"\u001b[0;36m Cell \u001b[0;32mIn[12], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m print（hello world）\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid character in identifier\n"
]
}
],
"source": [
"print（hello world）"
]
}
],
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|