From 5432b73fb8a92d547e6a5edf644ec793ecfe0c6d Mon Sep 17 00:00:00 2001 From: aedh carrick Date: Tue, 12 Sep 2023 10:27:35 -0500 Subject: [PATCH 1/5] Created using Colaboratory --- ..._based_UI_for_Stable_Diffusion_colab.ipynb | 633 ++++++++++++++++++ 1 file changed, 633 insertions(+) create mode 100644 Copy_of_Web_based_UI_for_Stable_Diffusion_colab.ipynb diff --git a/Copy_of_Web_based_UI_for_Stable_Diffusion_colab.ipynb b/Copy_of_Web_based_UI_for_Stable_Diffusion_colab.ipynb new file mode 100644 index 000000000..56682d3e4 --- /dev/null +++ b/Copy_of_Web_based_UI_for_Stable_Diffusion_colab.ipynb @@ -0,0 +1,633 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "private_outputs": true, + "provenance": [], + "collapsed_sections": [ + "5-Bx4AsEoPU-", + "xMWVQOg0G1Pj" + ] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Sygil-Dev/sygil-webui/blob/dev/Web_based_UI_for_Stable_Diffusion_colab.ipynb)" + ], + "metadata": { + "id": "S5RoIM-5IPZJ" + } + }, + { + "cell_type": "markdown", + "source": [ + "# README" + ], + "metadata": { + "id": "5-Bx4AsEoPU-" + } + }, + { + "cell_type": "markdown", + "source": [ + "###
Web-based UI for Stable Diffusion
\n", + "\n", + "## Created by [Sygil-Dev](https://github.com/Sygil-Dev)\n", + "\n", + "## [Visit Sygil-Dev's Discord Server](https://discord.gg/gyXNe4NySY) [![Discord Server](https://user-images.githubusercontent.com/5977640/190528254-9b5b4423-47ee-4f24-b4f9-fd13fba37518.png)](https://discord.gg/gyXNe4NySY)\n", + "\n", + "## Installation instructions for:\n", + "\n", + "- **[Windows](https://sygil-dev.github.io/sygil-webui/docs/1.windows-installation.html)**\n", + "- **[Linux](https://sygil-dev.github.io/sygil-webui/docs/2.linux-installation.html)**\n", + "\n", + "### Want to ask a question or request a feature?\n", + "\n", + "Come to our [Discord Server](https://discord.gg/gyXNe4NySY) or use [Discussions](https://github.com/Sygil-Dev/sygil-webui/discussions).\n", + "\n", + "## Documentation\n", + "\n", + "[Documentation is located here](https://sygil-dev.github.io/sygil-webui/)\n", + "\n", + "## Want to contribute?\n", + "\n", + "Check the [Contribution Guide](CONTRIBUTING.md)\n", + "\n", + "[Sygil-Dev](https://github.com/Sygil-Dev) main devs:\n", + "\n", + "* ![hlky's avatar](https://avatars.githubusercontent.com/u/106811348?s=40&v=4) [hlky](https://github.com/hlky)\n", + "* ![ZeroCool940711's avatar](https://avatars.githubusercontent.com/u/5977640?s=40&v=4)[ZeroCool940711](https://github.com/ZeroCool940711)\n", + "* ![codedealer's avatar](https://avatars.githubusercontent.com/u/4258136?s=40&v=4)[codedealer](https://github.com/codedealer)\n", + "\n", + "### Project Features:\n", + "\n", + "* Two great Web UI's to choose from: Streamlit or Gradio\n", + "\n", + "* No more manually typing parameters, now all you have to do is write your prompt and adjust sliders\n", + "\n", + "* Built-in image enhancers and upscalers, including GFPGAN and realESRGAN\n", + "\n", + "* Run additional upscaling models on CPU to save VRAM\n", + "\n", + "* Textual inversion 🔥: [info](https://textual-inversion.github.io/) - requires enabling, see [here](https://github.com/hlky/sd-enable-textual-inversion), script works as usual without it enabled\n", + "\n", + "* Advanced img2img editor with Mask and crop capabilities\n", + "\n", + "* Mask painting 🖌️: Powerful tool for re-generating only specific parts of an image you want to change (currently Gradio only)\n", + "\n", + "* More diffusion samplers 🔥🔥: A great collection of samplers to use, including:\n", + " \n", + " - `k_euler` (Default)\n", + " - `k_lms`\n", + " - `k_euler_a`\n", + " - `k_dpm_2`\n", + " - `k_dpm_2_a`\n", + " - `k_heun`\n", + " - `PLMS`\n", + " - `DDIM`\n", + "\n", + "* Loopback ➿: Automatically feed the last generated sample back into img2img\n", + "\n", + "* Prompt Weighting 🏋️: Adjust the strength of different terms in your prompt\n", + "\n", + "* Selectable GPU usage with `--gpu `\n", + "\n", + "* Memory Monitoring 🔥: Shows VRAM usage and generation time after outputting\n", + "\n", + "* Word Seeds 🔥: Use words instead of seed numbers\n", + "\n", + "* CFG: Classifier free guidance scale, a feature for fine-tuning your output\n", + "\n", + "* Automatic Launcher: Activate conda and run Stable Diffusion with a single command\n", + "\n", + "* Lighter on VRAM: 512x512 Text2Image & Image2Image tested working on 4GB\n", + "\n", + "* Prompt validation: If your prompt is too long, you will get a warning in the text output field\n", + "\n", + "* Copy-paste generation parameters: A text output provides generation parameters in an easy to copy-paste form for easy sharing.\n", + "\n", + "* Correct seeds for batches: If you use a seed of 1000 to generate two batches of two images each, four generated images will have seeds: `1000, 1001, 1002, 1003`.\n", + "\n", + "* Prompt matrix: Separate multiple prompts using the `|` character, and the system will produce an image for every combination of them.\n", + "\n", + "* Loopback for Image2Image: A checkbox for img2img allowing to automatically feed output image as input for the next batch. Equivalent to saving output image, and replacing input image with it.\n", + "\n", + "# Stable Diffusion Web UI\n", + "\n", + "A fully-integrated and easy way to work with Stable Diffusion right from a browser window.\n", + "\n", + "## Streamlit\n", + "\n", + "![](https://github.com/aedhcarrick/sygil-webui/blob/patch-2/images/streamlit/streamlit-t2i.png?raw=1)\n", + "\n", + "**Features:**\n", + "\n", + "- Clean UI with an easy to use design, with support for widescreen displays.\n", + "- Dynamic live preview of your generations\n", + "- Easily customizable presets right from the WebUI (Coming Soon!)\n", + "- An integrated gallery to show the generations for a prompt or session (Coming soon!)\n", + "- Better optimization VRAM usage optimization, less errors for bigger generations.\n", + "- Text2Video - Generate video clips from text prompts right from the WEb UI (WIP)\n", + "- Concepts Library - Run custom embeddings others have made via textual inversion.\n", + "- Actively being developed with new features being added and planned - Stay Tuned!\n", + "- Streamlit is now the new primary UI for the project moving forward.\n", + "- *Currently in active development and still missing some of the features present in the Gradio Interface.*\n", + "\n", + "Please see the [Streamlit Documentation](docs/4.streamlit-interface.md) to learn more.\n", + "\n", + "## Gradio\n", + "\n", + "![](https://github.com/aedhcarrick/sygil-webui/blob/patch-2/images/gradio/gradio-t2i.png?raw=1)\n", + "\n", + "**Features:**\n", + "\n", + "- Older UI design that is fully functional and feature complete.\n", + "- Has access to all upscaling models, including LSDR.\n", + "- Dynamic prompt entry automatically changes your generation settings based on `--params` in a prompt.\n", + "- Includes quick and easy ways to send generations to Image2Image or the Image Lab for upscaling.\n", + "- *Note, the Gradio interface is no longer being actively developed and is only receiving bug fixes.*\n", + "\n", + "Please see the [Gradio Documentation](docs/5.gradio-interface.md) to learn more.\n", + "\n", + "## Image Upscalers\n", + "\n", + "---\n", + "\n", + "### GFPGAN\n", + "\n", + "![](https://github.com/aedhcarrick/sygil-webui/blob/patch-2/images/GFPGAN.png?raw=1)\n", + "\n", + "Lets you improve faces in pictures using the GFPGAN model. There is a checkbox in every tab to use GFPGAN at 100%, and also a separate tab that just allows you to use GFPGAN on any picture, with a slider that controls how strong the effect is.\n", + "\n", + "If you want to use GFPGAN to improve generated faces, you need to install it separately.\n", + "Download [GFPGANv1.4.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth) and put it\n", + "into the `/sygil-webui/models/gfpgan` directory.\n", + "\n", + "### RealESRGAN\n", + "\n", + "![](https://github.com/aedhcarrick/sygil-webui/blob/patch-2/images/RealESRGAN.png?raw=1)\n", + "\n", + "Lets you double the resolution of generated images. There is a checkbox in every tab to use RealESRGAN, and you can choose between the regular upscaler and the anime version.\n", + "There is also a separate tab for using RealESRGAN on any picture.\n", + "\n", + "Download [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).\n", + "Put them into the `sygil-webui/models/realesrgan` directory.\n", + "\n", + "\n", + "\n", + "### LSDR\n", + "\n", + "Download **LDSR** [project.yaml](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1) and [model last.cpkt](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1). Rename last.ckpt to model.ckpt and place both under `sygil-webui/models/ldsr/`\n", + "\n", + "### GoBig, and GoLatent *(Currently on the Gradio version Only)*\n", + "\n", + "More powerful upscalers that uses a seperate Latent Diffusion model to more cleanly upscale images.\n", + "\n", + "\n", + "\n", + "Please see the [Image Enhancers Documentation](docs/6.image_enhancers.md) to learn more.\n", + "\n", + "-----\n", + "\n", + "### *Original Information From The Stable Diffusion Repo*\n", + "\n", + "# Stable Diffusion\n", + "\n", + "*Stable Diffusion was made possible thanks to a collaboration with [Stability AI](https://stability.ai/) and [Runway](https://runwayml.com/) and builds upon our previous work:*\n", + "\n", + "[**High-Resolution Image Synthesis with Latent Diffusion Models**](https://ommer-lab.com/research/latent-diffusion-models/)
\n", + "[Robin Rombach](https://github.com/rromb)\\*,\n", + "[Andreas Blattmann](https://github.com/ablattmann)\\*,\n", + "[Dominik Lorenz](https://github.com/qp-qp)\\,\n", + "[Patrick Esser](https://github.com/pesser),\n", + "[Björn Ommer](https://hci.iwr.uni-heidelberg.de/Staff/bommer)
\n", + "\n", + "**CVPR '22 Oral**\n", + "\n", + "which is available on [GitHub](https://github.com/CompVis/latent-diffusion). PDF at [arXiv](https://arxiv.org/abs/2112.10752). Please also visit our [Project page](https://ommer-lab.com/research/latent-diffusion-models/).\n", + "\n", + "[Stable Diffusion](#stable-diffusion-v1) is a latent text-to-image diffusion\n", + "model.\n", + "Thanks to a generous compute donation from [Stability AI](https://stability.ai/) and support from [LAION](https://laion.ai/), we were able to train a Latent Diffusion Model on 512x512 images from a subset of the [LAION-5B](https://laion.ai/blog/laion-5b/) database.\n", + "Similar to Google's [Imagen](https://arxiv.org/abs/2205.11487),\n", + "this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts.\n", + "With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM.\n", + "See [this section](#stable-diffusion-v1) below and the [model card](https://huggingface.co/CompVis/stable-diffusion).\n", + "\n", + "## Stable Diffusion v1\n", + "\n", + "Stable Diffusion v1 refers to a specific configuration of the model\n", + "architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet\n", + "and CLIP ViT-L/14 text encoder for the diffusion model. The model was pretrained on 256x256 images and\n", + "then finetuned on 512x512 images.\n", + "\n", + "*Note: Stable Diffusion v1 is a general text-to-image diffusion model and therefore mirrors biases and (mis-)conceptions that are present\n", + "in its training data.\n", + "Details on the training procedure and data, as well as the intended use of the model can be found in the corresponding [model card](https://huggingface.co/CompVis/stable-diffusion).\n", + "\n", + "## Comments\n", + "\n", + "- Our codebase for the diffusion models builds heavily on [OpenAI's ADM codebase](https://github.com/openai/guided-diffusion)\n", + " and [https://github.com/lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch).\n", + " Thanks for open-sourcing!\n", + "\n", + "- The implementation of the transformer encoder is from [x-transformers](https://github.com/lucidrains/x-transformers) by [lucidrains](https://github.com/lucidrains?tab=repositories).\n", + "\n", + "## BibTeX\n", + "\n", + "```\n", + "@misc{rombach2021highresolution,\n", + " title={High-Resolution Image Synthesis with Latent Diffusion Models},\n", + " author={Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer},\n", + " year={2021},\n", + " eprint={2112.10752},\n", + " archivePrefix={arXiv},\n", + " primaryClass={cs.CV}\n", + "}\n", + "\n", + "```" + ], + "metadata": { + "id": "z4kQYMPQn4d-" + } + }, + { + "cell_type": "markdown", + "source": [ + "# Config options for Colab instance\n", + "> Before running, make sure GPU backend is enabled. (Unless you plan on generating with Stable Horde)\n", + ">> Runtime -> Change runtime type -> Hardware Accelerator -> GPU (Make sure to save)" + ], + "metadata": { + "id": "iegma7yteERV" + } + }, + { + "cell_type": "code", + "source": [ + "#@title { display-mode: \"form\" }\n", + "#@markdown WebUI repo (and branch)\n", + "repo_name = \"Sygil-Dev/sygil-webui\" #@param {type:\"string\"}\n", + "repo_branch = \"dev\" #@param {type:\"string\"}\n", + "\n", + "#@markdown Mount Google Drive\n", + "mount_google_drive = True #@param {type:\"boolean\"}\n", + "save_outputs_to_drive = True #@param {type:\"boolean\"}\n", + "#@markdown Folder in Google Drive to search for custom models\n", + "MODEL_DIR = \"sygil-webui/models\" #@param {type:\"string\"}\n", + "\n", + "#@markdown Folder in Google Drive to look for custom config file (streamlit.yaml)\n", + "CONFIG_DIR = \"sygil-webui\" #@param {type:\"string\"}\n", + "\n", + "#@markdown Enter auth token from Huggingface.co\n", + "#@markdown >(required for downloading stable diffusion model.)\n", + "HF_TOKEN = \"\" #@param {type:\"string\"}\n", + "\n", + "#@markdown Select which models to prefetch\n", + "STABLE_DIFFUSION = True #@param {type:\"boolean\"}\n", + "WAIFU_DIFFUSION = False #@param {type:\"boolean\"}\n", + "TRINART_SD = False #@param {type:\"boolean\"}\n", + "SD_WD_LD_TRINART_MERGED = False #@param {type:\"boolean\"}\n", + "GFPGAN = True #@param {type:\"boolean\"}\n", + "REALESRGAN = True #@param {type:\"boolean\"}\n", + "LDSR = True #@param {type:\"boolean\"}\n", + "BLIP_MODEL = False #@param {type:\"boolean\"}\n", + "\n", + "#@markdown Save models to Google Drive for faster loading in future (Be warned! Make sure you have enough space!)\n", + "SAVE_MODELS = False #@param {type:\"boolean\"}" + ], + "metadata": { + "id": "OXn96M9deVtF" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Setup\n", + "\n", + ">Runtime will crash when installing conda. This is normal as we are forcing a restart of the runtime from code.\n", + "\n", + ">Just hit \"Run All\" again. 😑" + ], + "metadata": { + "id": "IZjJSr-WPNxB" + } + }, + { + "cell_type": "code", + "metadata": { + "id": "eq0-E5mjSpmP" + }, + "source": [ + "#@title Make sure we have access to GPU backend\n", + "!nvidia-smi -L" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title Install miniConda (mamba)\n", + "!pip install condacolab\n", + "import condacolab\n", + "condacolab.install_from_url(\"https://github.com/conda-forge/miniforge/releases/download/4.14.0-0/Mambaforge-4.14.0-0-Linux-x86_64.sh\")\n", + "\n", + "import condacolab\n", + "condacolab.check()\n", + "# The runtime will crash here!!! Don't panic! We planned for this remember?" + ], + "metadata": { + "id": "cDu33xkdJ5mD" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title Clone webUI repo and download font\n", + "import os\n", + "REPO_URL = os.path.join('https://github.com', repo_name)\n", + "PATH_TO_REPO = os.path.join('/content', repo_name.split('/')[1])\n", + "!git clone {REPO_URL}\n", + "%cd {PATH_TO_REPO}\n", + "!git checkout {repo_branch}\n", + "!git pull" + ], + "metadata": { + "id": "pZHGf03Vp305" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title Install dependencies\n", + "!mamba install cudatoolkit=11.3 git numpy=1.22.3 pip=20.3 python=3.8.5 pytorch=1.11.0 scikit-image=0.19.2 torchvision=0.12.0 -y\n", + "!python --version\n", + "!pip install -r requirements.txt" + ], + "metadata": { + "id": "dmN2igp5Yk3z" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title Install localtunnel to openGoogle's ports\n", + "!npm install localtunnel" + ], + "metadata": { + "id": "Nxaxfgo_F8Am" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title Mount Google Drive (if selected)\n", + "if mount_google_drive:\n", + " # Mount google drive to store outputs.\n", + " from google.colab import drive\n", + " drive.mount('/content/drive/', force_remount=True)\n", + "\n", + "if save_outputs_to_drive:\n", + " # Make symlink to redirect downloads\n", + " OUTPUT_PATH = os.path.join('/content/drive/MyDrive', repo_name.split('/')[1], 'outputs')\n", + " os.makedirs(OUTPUT_PATH, exist_ok=True)\n", + " os.symlink(OUTPUT_PATH, os.path.join(PATH_TO_REPO, 'outputs'), target_is_directory=True)\n" + ], + "metadata": { + "id": "pcSWo9Zkzbsf" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title Pre-fetch models\n", + "%cd {PATH_TO_REPO}\n", + "# make list of models we want to download\n", + "model_list = {\n", + " 'stable_diffusion': f'{STABLE_DIFFUSION}',\n", + " 'waifu_diffusion': f'{WAIFU_DIFFUSION}',\n", + " 'trinart_stable_diffusion': f'{TRINART_SD}',\n", + " 'sd_wd_ld_trinart_merged': f'{SD_WD_LD_TRINART_MERGED}',\n", + " 'gfpgan': f'{GFPGAN}',\n", + " 'realesrgan': f'{REALESRGAN}',\n", + " 'ldsr': f'{LDSR}',\n", + " 'blip_model': f'{BLIP_MODEL}'}\n", + "download_list = {k for (k,v) in model_list.items() if v == 'True'}\n", + "\n", + "# get model info (file name, download link, save location)\n", + "import yaml\n", + "from pprint import pprint\n", + "with open('configs/webui/webui_streamlit.yaml') as f:\n", + " dataMap = yaml.safe_load(f)\n", + "models = dataMap['model_manager']['models']\n", + "existing_models = []\n", + "\n", + "# copy script from model manager\n", + "import requests, time, shutil\n", + "from requests.auth import HTTPBasicAuth\n", + "\n", + "if MODEL_DIR != \"\":\n", + " MODEL_DIR = os.path.join('/content/drive/MyDrive', MODEL_DIR)\n", + "else:\n", + " MODEL_DIR = '/content/drive/MyDrive'\n", + "\n", + "def download_file(file_name, file_path, file_url):\n", + " os.makedirs(file_path, exist_ok=True)\n", + " link_path = os.path.join(MODEL_DIR, file_name)\n", + " full_path = os.path.join(file_path, file_name)\n", + " if os.path.exists(link_path):\n", + " print( file_name + \" found in Google Drive\")\n", + " if not os.path.exists(full_path):\n", + " print( \" creating symlink...\")\n", + " os.symlink(link_path, full_path)\n", + " else:\n", + " print( \" symlink already exists\")\n", + " elif not os.path.exists(full_path):\n", + " print( \"Downloading \" + file_name + \"...\", end=\"\" )\n", + " token = None\n", + " if \"huggingface.co\" in file_url:\n", + " token = HTTPBasicAuth('token', HF_TOKEN)\n", + " try:\n", + " with requests.get(file_url, auth = token, stream=True) as r:\n", + " starttime = time.time()\n", + " r.raise_for_status()\n", + " with open(full_path, 'wb') as f:\n", + " for chunk in r.iter_content(chunk_size=8192):\n", + " f.write(chunk)\n", + " if ((time.time() - starttime) % 60.0) > 2 :\n", + " starttime = time.time()\n", + " print( \".\", end=\"\" )\n", + " print( \"done\" )\n", + " print( \" \" + file_name + \" downloaded to \\'\" + file_path + \"\\'\" )\n", + " if SAVE_MODELS and os.path.exists(MODEL_DIR):\n", + " shutil.copy2(full_path,MODEL_DIR)\n", + " print( \" Saved \" + file_name + \" to \" + MODEL_DIR)\n", + " except:\n", + " print( \"Failed to download \" + file_name + \".\" )\n", + " return\n", + " else:\n", + " print( full_path + \" already exists.\" )\n", + " existing_models.append(file_name)\n", + "\n", + "# download models in list\n", + "for model in download_list:\n", + " model_name = models[model]['model_name']\n", + " file_info = models[model]['files']\n", + " for file in file_info:\n", + " file_name = file_info[file]['file_name']\n", + " file_url = file_info[file]['download_link']\n", + " if 'save_location' in file_info[file]:\n", + " file_path = file_info[file]['save_location']\n", + " else:\n", + " file_path = models[model]['save_location']\n", + " download_file(file_name, file_path, file_url)\n", + "\n", + "# add custom models not in list\n", + "CUSTOM_MODEL_DIR = os.path.join(PATH_TO_REPO, 'models/custom')\n", + "if os.path.exists(MODEL_DIR):\n", + " custom_models = os.listdir(MODEL_DIR)\n", + " custom_models = [m for m in custom_models if os.path.isfile(MODEL_DIR + '/' + m)]\n", + " os.makedirs(CUSTOM_MODEL_DIR, exist_ok=True)\n", + " print( \"Custom model(s) found: \" )\n", + " for m in custom_models:\n", + " if m in existing_models:\n", + " continue\n", + " full_path = os.path.join(CUSTOM_MODEL_DIR, m)\n", + " if not os.path.exists(full_path):\n", + " print( \" \" + m )\n", + " os.symlink(os.path.join(MODEL_DIR , m), full_path)\n", + "\n", + "# get custom config file if it exists\n", + "if CONFIG_DIR != \"\":\n", + " CONFIG_FILE = os.path.join('/content/drive/MyDrive', CONFIG_DIR, 'userconfig_streamlit.yaml')\n", + " config_location = os.path.join(PATH_TO_REPO, 'configs/webui/userconfig_streamlit.yaml')\n", + " if os.path.exists(CONFIG_FILE) and not os.path.exists(config_location):\n", + " os.symlink(CONFIG_DIR, config_location)\n", + "\n", + "\n" + ], + "metadata": { + "id": "vMdmh81J70yA" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Launch the web ui server\n", + "### (optional) JS to prevent idle timeout:\n", + "Press 'F12' OR ('CTRL' + 'SHIFT' + 'I') OR right click on this website -> inspect. Then click on the console tab and paste in the following code.\n", + "```js,\n", + "function ClickConnect(){\n", + "console.log(\"Working\");\n", + "document.querySelector(\"colab-toolbar-button#connect\").click()\n", + "}\n", + "setInterval(ClickConnect,60000)\n", + "```" + ], + "metadata": { + "id": "pjIjiCuJysJI" + } + }, + { + "cell_type": "code", + "source": [ + "#@title Press play on the music player to keep the tab alive (Uses only 13MB of data)\n", + "%%html\n", + "Press play on the music player to keep the tab alive, then start your generation below (Uses only 13MB of data)
\n", + "