Upload MITSE_SHINCHAIN.ipynb

MITSE_SHINCHAIN.ipynb

@@ -0,0 +1,207 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "ncDRZCBmY9H7"
+   },
+   "outputs": [],
+   "source": [
+    "!pip install pygit2==1.15.1\n",
+    "%cd /content\n",
+    "!git clone https://github.com/lllyasviel/Fooocus.git"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "7XPqy05QY9bo"
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import requests\n",
+    "from tqdm import tqdm  # Install tqdm if not already installed: pip install tqdm\n",
+    "\n",
+    "# Define the file URL and target directory\n",
+    "file_url = \"https://huggingface.co/Akkumar001/MOMies/resolve/main/Illustrious-HD2_6gb.json\"\n",
+    "target_dir = \"/content/Fooocus/presets\"\n",
+    "\n",
+    "# Extract the file name from the URL\n",
+    "file_name = os.path.basename(file_url)\n",
+    "\n",
+    "# Target file path\n",
+    "target_file = os.path.join(target_dir, file_name)\n",
+    "\n",
+    "# Hugging Face access token\n",
+    "hf_token = \"YOUR HUGGING FACE TOKEN\"  # Replace with your token\n",
+    "\n",
+    "# Ensure the target directory exists\n",
+    "os.makedirs(target_dir, exist_ok=True)\n",
+    "\n",
+    "# Download the file with streaming\n",
+    "headers = {\"Authorization\": f\"Bearer {hf_token}\"}\n",
+    "response = requests.get(file_url, headers=headers, stream=True)\n",
+    "\n",
+    "if response.status_code == 200:\n",
+    "    # Get the total file size from headers\n",
+    "    total_size = int(response.headers.get(\"content-length\", 0))\n",
+    "    chunk_size = 1024  # 1 KB per chunk\n",
+    "\n",
+    "    # Use tqdm for progress bar\n",
+    "    with open(target_file, \"wb\") as f, tqdm(\n",
+    "        desc=f\"Downloading {file_name}\",\n",
+    "        total=total_size,\n",
+    "        unit=\"B\",\n",
+    "        unit_scale=True,\n",
+    "        unit_divisor=1024,\n",
+    "    ) as progress_bar:\n",
+    "        for chunk in response.iter_content(chunk_size=chunk_size):\n",
+    "            if chunk:  # Filter out keep-alive chunks\n",
+    "                f.write(chunk)\n",
+    "                progress_bar.update(len(chunk))\n",
+    "    print(f\"\\nFile successfully downloaded to {target_file}\")\n",
+    "else:\n",
+    "    print(f\"Failed to download the file. Status code: {response.status_code}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "Z4hXeXiGP83c"
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import requests\n",
+    "from tqdm import tqdm  # Install tqdm if not already installed: pip install tqdm\n",
+    "\n",
+    "# Define the file URL and target directory\n",
+    "file_url = \"https://huggingface.co/Akkumar001/MOMies/resolve/main/Nohara_Misae_CrayonShinchan.safetensors\"\n",
+    "target_dir = \"/content/Fooocus/models/loras\"\n",
+    "\n",
+    "# Extract the file name from the URL\n",
+    "file_name = os.path.basename(file_url)\n",
+    "\n",
+    "# Target file path\n",
+    "target_file = os.path.join(target_dir, file_name)\n",
+    "\n",
+    "# Hugging Face access token\n",
+    "hf_token = \"YOUR HUGGING FACE TOKEN\"  # Replace with your token\n",
+    "\n",
+    "# Ensure the target directory exists\n",
+    "os.makedirs(target_dir, exist_ok=True)\n",
+    "\n",
+    "# Download the file with streaming\n",
+    "headers = {\"Authorization\": f\"Bearer {hf_token}\"}\n",
+    "response = requests.get(file_url, headers=headers, stream=True)\n",
+    "\n",
+    "if response.status_code == 200:\n",
+    "    # Get the total file size from headers\n",
+    "    total_size = int(response.headers.get(\"content-length\", 0))\n",
+    "    chunk_size = 1024  # 1 KB per chunk\n",
+    "\n",
+    "    # Use tqdm for progress bar\n",
+    "    with open(target_file, \"wb\") as f, tqdm(\n",
+    "        desc=f\"Downloading {file_name}\",\n",
+    "        total=total_size,\n",
+    "        unit=\"B\",\n",
+    "        unit_scale=True,\n",
+    "        unit_divisor=1024,\n",
+    "    ) as progress_bar:\n",
+    "        for chunk in response.iter_content(chunk_size=chunk_size):\n",
+    "            if chunk:  # Filter out keep-alive chunks\n",
+    "                f.write(chunk)\n",
+    "                progress_bar.update(len(chunk))\n",
+    "    print(f\"\\nFile successfully downloaded to {target_file}\")\n",
+    "else:\n",
+    "    print(f\"Failed to download the file. Status code: {response.status_code}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "G8i2a_nxaNPN"
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import requests\n",
+    "from tqdm import tqdm  # Install tqdm if not already installed: pip install tqdm\n",
+    "\n",
+    "# Define the file URL and target directory\n",
+    "file_url = \"https://huggingface.co/Akkumar001/MOMies/resolve/main/MITSE_SHINCHAIN_PROMPT.txt\"\n",
+    "target_dir = \"/content/\"\n",
+    "\n",
+    "# Extract the file name from the URL\n",
+    "file_name = os.path.basename(file_url)\n",
+    "\n",
+    "# Target file path\n",
+    "target_file = os.path.join(target_dir, file_name)\n",
+    "\n",
+    "# Hugging Face access token\n",
+    "hf_token = \"YOUR HUGGING FACE TOKEN\"  # Replace with your token\n",
+    "\n",
+    "# Ensure the target directory exists\n",
+    "os.makedirs(target_dir, exist_ok=True)\n",
+    "\n",
+    "# Download the file with streaming\n",
+    "headers = {\"Authorization\": f\"Bearer {hf_token}\"}\n",
+    "response = requests.get(file_url, headers=headers, stream=True)\n",
+    "\n",
+    "if response.status_code == 200:\n",
+    "    # Get the total file size from headers\n",
+    "    total_size = int(response.headers.get(\"content-length\", 0))\n",
+    "    chunk_size = 1024  # 1 KB per chunk\n",
+    "\n",
+    "    # Use tqdm for progress bar\n",
+    "    with open(target_file, \"wb\") as f, tqdm(\n",
+    "        desc=f\"Downloading {file_name}\",\n",
+    "        total=total_size,\n",
+    "        unit=\"B\",\n",
+    "        unit_scale=True,\n",
+    "        unit_divisor=1024,\n",
+    "    ) as progress_bar:\n",
+    "        for chunk in response.iter_content(chunk_size=chunk_size):\n",
+    "            if chunk:  # Filter out keep-alive chunks\n",
+    "                f.write(chunk)\n",
+    "                progress_bar.update(len(chunk))\n",
+    "    print(f\"\\nFile successfully downloaded to {target_file}\")\n",
+    "else:\n",
+    "    print(f\"Failed to download the file. Status code: {response.status_code}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "VjYy0F2gZIPR"
+   },
+   "outputs": [],
+   "source": [
+    "%cd /content/Fooocus\n",
+    "!python entry_with_update.py --share --always-high-vram\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}