├── README.md
├── .github
└── FUNDING.yml
├── fooocus.ipynb
└── LICENSE
/README.md:
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1 | # Fooocus-Kaggle
2 | Kaggle notebook for Fooocus. Works best with a GPU runtime.
3 |
4 |
5 |
6 |
7 |
8 |
9 | #
10 |
11 | Let's Connect! 🌍
12 | ⭐ https://pogscafe.bio.link
13 |
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/.github/FUNDING.yml:
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1 | # These are supported funding model platforms
2 |
3 | github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
4 | patreon: pogscafe
5 | open_collective: # Replace with a single Open Collective username
6 | ko_fi: pogscafe
7 | tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
8 | community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
9 | liberapay: # Replace with a single Liberapay username
10 | issuehunt: # Replace with a single IssueHunt username
11 | otechie: # Replace with a single Otechie username
12 | lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
13 | custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
14 |
--------------------------------------------------------------------------------
/fooocus.ipynb:
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1 | {"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[],"dockerImageVersionId":30587,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"source":"
","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","source":"# Fooocus notebook for Kaggle\n\n🔗 GitHub link for this notebook - https://github.com/wandaweb/Fooocus-Kaggle\n\n🌎 Connect with us for updates - https://pogscafe.bio.link \n\n🔗 Fooocus on GitHub - https://github.com/lllyasviel/Fooocus","metadata":{}},{"cell_type":"markdown","source":"# Installation\n\nBest settings:\n - Accelerator: GPU T4\n - Environment: Pin to original environment (2023-11-15)\n - Persistence: Files only\n \nMake sure the Internet is on 😄\n\nInstallation takes about 5 minutes.","metadata":{}},{"cell_type":"code","source":"HOME_FOLDER = '/kaggle/working'\nTEMP_FOLDER = '/kaggle/temp'\nupdate = False\n\nCKPT_FOLDER = f'{HOME_FOLDER}/Fooocus/models/checkpoints'\n\n!mkdir $TEMP_FOLDER\n\nimport os\nfrom os import path\n\n%cd $HOME_FOLDER\n\nif not path.exists('Fooocus'):\n get_ipython().system('git clone https://github.com/lllyasviel/Fooocus.git')\nelse:\n get_ipython().system(f'find {CKPT_FOLDER} -maxdepth 1 -type l -delete') # delete any symlinks to temp models from a previous run\n \n%cd Fooocus\n!git checkout cca0ca704a713ab153938e78de6787609c723cad\n#if update:\n# get_ipython().system('git pull')\n \n!pip install -q -r requirements_versions.txt \n!pip install -q torch torchvision --force-reinstall --index-url https://download.pytorch.org/whl/cu117\n!rm -rf /opt/conda/lib/python3.10/site-packages/pytz-2023.3.dist-info\n!rm -rf /opt/conda/lib/python3.10/site-packages/PyYAML-6.0.1.dist-info\n!pip install -q pyyaml pytz \n!mamba install openssh -y\n!pip install --force-reinstall numpy==1.22.4","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Start the WebUI","metadata":{}},{"cell_type":"markdown","source":"**Option 1: Starting the Web UI with ngrok** \n* Make sure to put your ngrok token in the Ngrok_token variable. The token can be obtained from https://ngrok.com\n* If you have a static domain, put your ngrok domain in the Ngrok_domain variable.\n* Wait for the line that says \"App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865\" \n * If the port is no longer 7865 in the latest version, please change the port variable as well\n* Visit your ngrok URL (either your static domain, or the ngrok url displayed in the output)","metadata":{}},{"cell_type":"code","source":"# Starting the Web UI with ngrok\n\n# --- Variables ---\n\nngrok_token = \"\" #@param {type:\"string\"}\n# Put your ngrok token here (obtainable from https://ngrok.com)\n# Example: Ngrok_token = \"2Fw13n4GcJT12g7mSDUC62cdNGb_5svdjf3Gg5vfhr4nGr5gF\"\n\nngrok_domain = \"\" # optional, leave empty if you don't have a domain\n\nport = 7865\n\n# -----------------\n\n\n!pip install pyngrok\n\nfrom pyngrok import ngrok, conf\nimport fileinput\nimport sys\nimport gc\n\ngc.collect()\n\nif ngrok_token!=\"\":\n ngrok.kill()\n srv=ngrok.connect(port, pyngrok_config=conf.PyngrokConfig(auth_token=ngrok_token),\n bind_tls=True, domain=ngrok_domain).public_url\n print(srv)\n get_ipython().system(f\"python {HOME_FOLDER}/Fooocus/entry_with_update.py \")\nelse:\n print('An ngrok token is required. You can get one on https://ngrok.com and paste it into the ngrok_token field.')","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"*** \n**Option 3: Starting the Web UI with Zrok** \n","metadata":{}},{"cell_type":"markdown","source":"### Install Zrok","metadata":{}},{"cell_type":"code","source":"# Install Zrok (only needs to run once)\n\n!mkdir /kaggle/working/zrok\n%cd /kaggle/working/zrok\n!rm zrok*.gz \n!wget https://github.com/openziti/zrok/releases/download/v1.0.4/zrok_1.0.4_linux_amd64.tar.gz\n!tar -xvf ./zrok*.gz \n!chmod a+x /kaggle/working/zrok/zrok ","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"### Create a Zrok account\nEnter your email address in the email variable","metadata":{}},{"cell_type":"code","source":"email = '####@gmail.com' # replace with your email\n\n# --------------\n\ncmd = '/kaggle/working/zrok/zrok invite'\nlog = '/kaggle/working/zrok/log.txt'\n\n!pip install pexpect\n!touch $log\n\nimport pexpect\nimport time\nchild = pexpect.spawn('bash')\nchild.sendline(f'{cmd} | tee {log}')\nchild.expect('enter and confirm your email address...')\ntime.sleep(1); child.sendline(email); time.sleep(1); child.send(chr(9)); time.sleep(1)\nchild.sendline(email); time.sleep(1); child.send('\\n'); time.sleep(1); child.send(chr(9))\ntime.sleep(1); child.send('\\r\\n'); time.sleep(2); child.close()\n!cat $log\n!rm $log","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"### Enable Zrok \nPaste your Zrok token in the token variable","metadata":{}},{"cell_type":"code","source":"# Enable Zrok (Run once per session)\n# Paste your Zrok token in the token variable\n\ntoken = \"\"\n!chmod a+x /kaggle/working/zrok/zrok\n!/kaggle/working/zrok/zrok enable $token","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"### 🖌 Start the WebUI with Zrok","metadata":{}},{"cell_type":"code","source":"# Start the WebUI with Zrok\n%cd /kaggle/working/Fooocus\ncommand = f'python {HOME_FOLDER}/Fooocus/entry_with_update.py'\nport = '7865'\n# ------------------------\n\ncmd = f'{command} & /kaggle/working/zrok/zrok share public http://localhost:{port} --headless'\nget_ipython().system(cmd)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Install Models","metadata":{}},{"cell_type":"code","source":"# Install a model to permanent storage\n# Make sure Persistence is set to \"Files only\" or \"Variables and Files\"\nmodel_url = 'https://civitai.com/api/download/models/169740?type=Model&format=SafeTensor&size=full&fp=fp16'\nmodel_name = 'ZavyChroma.safetensors'\n\n%cd $CKPT_FOLDER\nget_ipython().system(f'wget -O \"{model_name}\" \"{model_url}\"')","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Install a LoRA to permanent storage\nmodel_url = 'https://civitai.com/api/download/models/505826'\nmodel_name = 'PaperBook.safetensors'\n\nLORA_FOLDER = HOME_FOLDER + '/Fooocus/models/loras'\n%cd $LORA_FOLDER\nget_ipython().system(f'wget -O \"{model_name}\" \"{model_url}\"')","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Install a model to temporary storage\nmodel_url = 'https://civitai.com/api/download/models/395107?type=Model&format=SafeTensor&size=pruned&fp=fp16'\nmodel_name = 'Unstable.safetensors'\n\n%cd $TEMP_FOLDER\nif not path.exists(f'{CKPT_FOLDER}/{model_name}'):\n get_ipython().system(f'wget -O \"{model_name}\" \"{model_url}\"')\n get_ipython().system(f'ln -s {TEMP_FOLDER}/{model_name} {CKPT_FOLDER}/')\nelse:\n print(f'The file {CKPT_FOLDER}/{model_name} already exists')","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## Remove corrupted models","metadata":{}},{"cell_type":"code","source":"!ls -la $CKPT_FOLDER\n!rm -rf $CKPT_FOLDER/*.corrupted\n!ls -la $CKPT_FOLDER","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## \n## Delete permanent models and LoRAs","metadata":{}},{"cell_type":"code","source":"!rm $HOME_FOLDER/Fooocus/models/checkpoints/*\n!rm $HOME_FOLDER/Fooocus/models/loras/*","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## File Manager\n","metadata":{}},{"cell_type":"code","source":"# Install File Manager\n%cd /kaggle\n!wget https://github.com/filebrowser/filebrowser/releases/download/v2.27.0/linux-amd64-filebrowser.tar.gz\n!tar xvfz linux-amd64-filebrowser.tar.gz\n!chmod a+x /kaggle/filebrowser\n!rm /kaggle/config.json\n!/kaggle/filebrowser config init > /dev/null\n!/kaggle/filebrowser config set --auth.method=noauth > /dev/null\n!/kaggle/filebrowser config set --branding.theme=dark > /dev/null\n!/kaggle/filebrowser users add admin admin > /dev/null\n!/kaggle/filebrowser config export \"/kaggle/working/config.json\" > /dev/null","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# Run File Manager with Ngrok","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"# --- Variables ---\n\nngrok_token = \"\" #@param {type:\"string\"}\n# Put your ngrok token here (obtainable from https://ngrok.com)\n# Example: Ngrok_token = \"2Fw13n4GcJT12g7mSDUC62cdNGb_5svdjf3Gg5vfhr4nGr5gF\"\n\nngrok_domain = \"\" # optional, leave empty if you don't have a domain\n\nport = 8080\n\n# -----------------\n\n\n!pip install pyngrok\n\nfrom pyngrok import ngrok, conf\nimport fileinput\nimport sys\nimport gc\n\ngc.collect()\n\nif ngrok_token!=\"\":\n ngrok.kill()\n srv=ngrok.connect(port, pyngrok_config=conf.PyngrokConfig(auth_token=ngrok_token),\n bind_tls=True, domain=ngrok_domain).public_url\n print(srv)\n get_ipython().system(f'/kaggle/filebrowser -c \"/kaggle/config.json\"')\nelse:\n print('An ngrok token is required. You can get one on https://ngrok.com and paste it into the ngrok_token field.')","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"---\nSample of creating a shortcut to a temporary lora","metadata":{}},{"cell_type":"code","source":"!ln -s \"/kaggle/temp/Dark Fantasy.safetensors\" \"/kaggle/working/Fooocus/models/loras\"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Delete everything for a clean install","metadata":{}},{"cell_type":"code","source":"!rm -rf /kaggle/working/*","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}
--------------------------------------------------------------------------------
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