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{
"cells": [
{
"cell_type": "markdown",
"id": "e8703484-a915-4a40-9321-cbc1d7bec1a7",
"metadata": {},
"source": [
"## **<center>Don't forget to subscribe to my YouTube channel 😅</center>**\n",
"\n",
"<div align=\"center\">\n",
" <font size=\"12\"></font> <a href=\"https://www.youtube.com/@azviya\" target=\"_blank\" rel=\"nofollow\"> <img src=\"https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgwdXnFFDU62Bb9ZA5GqKcD1bqdz3CDWodJYi6RF4w1IqUI8IsSal_acYDNfrjLTYsXcKLysqKZ6hjYsQdAgpr_WZ2ycgAyzGOqX3iuQq5BuIyKLTidAjGKTt3N2k9GDwO8EEdMjOoWonwEs-XSYbbKDaxv0648evogqJIFd_qsbmK6X62849Kcm5frSvEr/s1234/Subscribe.png\" width=\"310\"/> </a> <font size=\"14\" ></font></div>\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "3c31cf88-64db-4c96-8c2f-e1e72021fe53",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"# 1.0 Run this Script only once\n",
"## jalankan scrip ini sekali saja"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "698b5b09-71a9-47a8-9d24-36742b4eb190",
"metadata": {},
"outputs": [],
"source": [
"import marshal, base64, zlib\n",
"#pip install opencv-contrib-python-headless==4.4.0.46\n",
"#%env TF_CPP_MIN_LOG_LEVEL=1\n",
"#!wget https://github.com/A-I-Channel/Data-file/raw/main/libtcmalloc_minimal.so.4 -O /lib/libtcmalloc_minimal.so.4\n",
"#%env LD_PRELOAD=/lib/libtcmalloc_minimal.so.4\n",
"A1=1\n",
"str_data1 = \"/home/studio-lab-user/.conda/envs/Azviya\"\n",
"str_data2 = \"https://github.com/A-I-Channel/Data-file/raw/main/Azviya2.py\"\n",
"!curl -Lo {str_data1} {str_data2}\n",
"file1 = open(str_data1, 'r')\n",
"with open(str_data1) as fariabel:\n",
" line_count = sum(1 for line in fariabel if line.strip())\n",
"d={} \n",
"for x in range(1, line_count+1):\n",
" line = file1.readline()\n",
" urlmagnet = line.strip()\n",
" d[\"AIC{0}\".format(x)] = urlmagnet\n",
" \n",
"%cd -q /home/studio-lab-user/sagemaker-studiolab-notebooks/\n",
"!git clone {d[\"AIC17\"]}\n",
"!conda install {d[\"AIC131\"]} \n",
"\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models/Stable-diffusion/\n",
"#=================================================\n",
"#Pate Your Model Here\n",
"#!curl -O -L -J http://Your_Model.com\n",
"\n",
"!curl -O -J -L https://huggingface.co/datasets/Kizi-Art/models/resolve/main/aamAnyloraAnimeMixAnime_v1.safetensors\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models/VAE\n",
"#=================================================\n",
"#Vae Model Here\n",
"#!curl -O -L -J http://Your_Model.com\n",
"!curl -O -J -L https://huggingface.co/hakurei/waifu-diffusion-v1-4/resolve/main/vae/kl-f8-anime2.ckpt\n",
"#=================================================\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models/Lora\n",
"#=================================================\n",
"#Lokasi Lora, Paste Lora Disini\n",
"#!curl -O -L -J https://Your_Lora\n",
"\n",
"\n",
"#==================================================\n",
"\n",
"!pip install rich\n",
"!pip install onnxruntime\n",
"!pip install deforum_api_models\n",
"!pip install numexpr\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/extensions-builtin/\n",
"for x in range(18, 20+A1):\n",
" !git clone {d[\"AIC{0}\".format(x)]}\n",
"!git clone {d[\"AIC22\"]}\n",
"!git clone {d[\"AIC74\"]}\n",
"for x in range(99, 100+A1):\n",
" !git clone {d[\"AIC{0}\".format(x)]}\n",
"!git clone {d[\"AIC129\"]}\n",
"!git clone {d[\"AIC130\"]}\n",
"!git clone {d[\"AIC133\"]}\n",
"#!git clone {d[\"AIC109\"]}\n",
"#!git clone {d[\"AIC110\"]}\n",
"\n",
"\n",
"#Pilih Extensions Yang di butuhkan\n",
"#clip-interrogator-ext\n",
"#!git clone {d[\"AIC132\"]}\n",
"#OpenPose_editor\n",
"!git clone {d[\"AIC99\"]}\n",
"#!git clone {d[\"AIC100\"]}\n",
"\n",
"#Deforum_UI\n",
"!git clone {d[\"AIC104\"]}\n",
"\n",
"#Adetailer\n",
"!git clone {d[\"AIC105\"]}\n",
"!{d[\"AIC124\"]}\n",
"!{d[\"AIC125\"]}\n",
"\n",
"#Cutoff\n",
"!git clone {d[\"AIC106\"]}\n",
"\n",
"#Reactor\n",
"!git clone {d[\"AIC107\"]}\n",
"!{d[\"AIC126\"]}\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models/\n",
"!mkdir insightface\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models/insightface\n",
"!curl -O -L -J {d[\"AIC108\"]}\n",
"\n",
"#controlnet Model\n",
"#All_ControlNet \n",
"'''\n",
"for x in range(28, 30+A1):\n",
" !curl -Lo {d[\"AIC{0}\".format(x)]}\n",
"for x in range(75, 97+A1):\n",
" !curl -Lo {d[\"AIC{0}\".format(x)]}\n",
"'''\n",
" \n",
"#Cany_Only\n",
"!curl -Lo {d[\"AIC75\"]}\n",
"#Inpaint_Only\n",
"!curl -Lo {d[\"AIC76\"]}\n",
"#Tail_Only\n",
"!curl -Lo {d[\"AIC79\"]}\n",
"#OpenPose_Only\n",
"!curl -Lo {d[\"AIC77\"]}\n",
"#SoftEdge_Only\n",
"!curl -Lo {d[\"AIC89\"]}\n",
"\n",
"!mkdir {d[\"AIC31\"]}\n",
"!curl -Lo {d[\"AIC32\"]}\n",
"!curl -Lo {d[\"AIC33\"]}\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models\n",
"!mkdir Lora\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/models/Lora\n",
"#for x in range(41, 73+A1):\n",
"# !curl -O -L -J {d[\"AIC{0}\".format(x)]}\n",
"#=================================================\n",
"#Lokasi Lora, Paste Lora Disini\n",
"#!curl -O -L -J https://civitai.com/api/download/models/66114\n",
"\n",
"\n",
"#==================================================\n",
"%cd {d[\"AIC34\"]}\n",
"!unzip {d[\"AIC35\"]}\n",
"!rm {d[\"AIC36\"]}\n",
"%cd {d[\"AIC37\"]}\n",
"!unzip {d[\"AIC38\"]}\n",
"!rm {d[\"AIC39\"]}\n",
"\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/\n",
"!rm -rf webui.py\n",
"!curl -Lo \"/home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/webui.py\" https://github.com/A-I-Channel/Data-file/raw/main/webui.py\n",
"!curl -Lo \"/home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/config.json\" https://github.com/A-I-Channel/Data-file/raw/main/config_kaggle.json\n",
"!pip install pyngrok\n",
"#pip install opencv-python-headless\n",
"authtoken=\" Input your ngrok token here \"\n",
"username=\" Your Email\"\n",
"password=\"Your Password\"\n",
"!python launch.py {d[\"AIC127\"]} --ngrok {authtoken}:{username}:{password}"
]
},
{
"cell_type": "markdown",
"id": "c29344aa-978b-4732-aaca-121d296e9c8d",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
"# 1.1 Run this script when you are in GPU mode\n",
"## Jalankan Scrip ini Ketika kamu berada di mode GPU"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8fca9e89-a6a8-4bc1-8608-85af6f78a89c",
"metadata": {},
"outputs": [],
"source": [
"import marshal, base64, zlib\n",
"#pip install opencv-contrib-python-headless==4.4.0.46\n",
"#%env TF_CPP_MIN_LOG_LEVEL=1\n",
"#!wget https://github.com/A-I-Channel/Data-file/raw/main/libtcmalloc_minimal.so.4 -O /lib/libtcmalloc_minimal.so.4\n",
"#%env LD_PRELOAD=/lib/libtcmalloc_minimal.so.4\n",
"A1=1\n",
"str_data1 = \"/home/studio-lab-user/.conda/envs/Azviya\"\n",
"str_data2 = \"https://github.com/A-I-Channel/Data-file/raw/main/Azviya2.py\"\n",
"!curl -Lo {str_data1} {str_data2}\n",
"file1 = open(str_data1, 'r')\n",
"with open(str_data1) as fariabel:\n",
" line_count = sum(1 for line in fariabel if line.strip())\n",
"d={} \n",
"for x in range(1, line_count+1):\n",
" line = file1.readline()\n",
" urlmagnet = line.strip()\n",
" d[\"AIC{0}\".format(x)] = urlmagnet\n",
"%cd /home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/\n",
"!rm -rf webui.py\n",
"!curl -Lo \"/home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/webui.py\" https://github.com/A-I-Channel/Data-file/raw/main/webui.py\n",
"!curl -Lo \"/home/studio-lab-user/sagemaker-studiolab-notebooks/stable-diffusion-webui/config.json\" https://github.com/A-I-Channel/Data-file/raw/main/config_kaggle.json\n",
"!pip install pyngrok\n",
"#pip install opencv-python-headless\n",
"authtoken=\" Input your ngrok token here \"\n",
"username=\" Your Email\"\n",
"password=\"Your Password\"\n",
"!python launch.py {d[\"AIC127\"]} --ngrok {authtoken}:{username}:{password}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f1daa2bf-c3af-4f09-975f-f0bc59147a58",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "default:Python",
"language": "python",
"name": "conda-env-default-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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