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\n\n![project logo](docs/assets/invoke_ai_banner.png)\n\n# InvokeAI: A Stable Diffusion Toolkit\n\n[![discord badge]][discord link]\n\n[![latest release badge]][latest release link] [![github stars badge]][github stars link] [![github forks badge]][github forks link]\n\n[![CI checks on main badge]][CI checks on main link] [![CI checks on dev badge]][CI checks on dev link] [![latest commit to dev badge]][latest commit to dev link]\n\n[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link]\n\n[CI checks on dev badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/development?label=CI%20status%20on%20dev&cache=900&icon=github\n[CI checks on dev link]: https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Adevelopment\n[CI checks on main badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/main?label=CI%20status%20on%20main&cache=900&icon=github\n[CI checks on main link]: https://github.com/invoke-ai/InvokeAI/actions/workflows/test-invoke-conda.yml\n[discord badge]: https://flat.badgen.net/discord/members/ZmtBAhwWhy?icon=discord\n[discord link]: https://discord.gg/ZmtBAhwWhy\n[github forks badge]: https://flat.badgen.net/github/forks/invoke-ai/InvokeAI?icon=github\n[github forks link]: https://useful-forks.github.io/?repo=invoke-ai%2FInvokeAI\n[github open issues badge]: https://flat.badgen.net/github/open-issues/invoke-ai/InvokeAI?icon=github\n[github open issues link]: https://github.com/invoke-ai/InvokeAI/issues?q=is%3Aissue+is%3Aopen\n[github open prs badge]: https://flat.badgen.net/github/open-prs/invoke-ai/InvokeAI?icon=github\n[github open prs link]: https://github.com/invoke-ai/InvokeAI/pulls?q=is%3Apr+is%3Aopen\n[github stars badge]: https://flat.badgen.net/github/stars/invoke-ai/InvokeAI?icon=github\n[github stars link]: https://github.com/invoke-ai/InvokeAI/stargazers\n[latest commit to dev badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900\n[latest commit to dev link]: https://github.com/invoke-ai/InvokeAI/commits/development\n[latest release badge]: https://flat.badgen.net/github/release/invoke-ai/InvokeAI/development?icon=github\n[latest release link]: https://github.com/invoke-ai/InvokeAI/releases\n

\n\nThis is a fork of\n[CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion),\nthe open source text-to-image generator. It provides a streamlined\nprocess with various new features and options to aid the image\ngeneration process. It runs on Windows, macOS and Linux machines, with\nGPU cards with as little as 4 GB of RAM. It provides both a polished\nWeb interface (see below), and an easy-to-use command-line interface.\n\n**Quick links**: [[How to Install](#installation)] [Discord Server] [Documentation and Tutorials] [Code and Downloads] [Bug Reports] [Discussion, Ideas & Q&A]\n\n_Note: InvokeAI is rapidly evolving. Please use the\n[Issues](https://github.com/invoke-ai/InvokeAI/issues) tab to report bugs and make feature\nrequests. Be sure to use the provided templates. They will help us diagnose issues faster._\n\n# Getting Started with InvokeAI\n\nFor full installation and upgrade instructions, please see:\n[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)\n\n1. Go to the bottom of the [Latest Release Page](https://github.com/invoke-ai/InvokeAI/releases/latest)\n2. Download the .zip file for your OS (Windows/macOS/Linux).\n3. Unzip the file.\n4. If you are on Windows, double-click on the `install.bat` script. On macOS, open a Terminal window, drag the file `install.sh` from Finder into the Terminal, and press return. On Linux, run `install.sh`.\n5. Wait a while, until it is done.\n6. The folder where you ran the installer from will now be filled with lots of files. If you are on Windows, double-click on the `invoke.bat` file. On macOS, open a Terminal window, drag `invoke.sh` from the folder into the Terminal, and press return. On Linux, run `invoke.sh`\n7. Press 2 to open the \"browser-based UI\", press enter/return, wait a minute or two for Stable Diffusion to start up, then open your browser and go to http://localhost:9090.\n8. Type `banana sushi` in the box on the top left and click `Invoke`:\n\n

\n\n\n\n## Table of Contents\n\n1. [Installation](#installation)\n2. [Hardware Requirements](#hardware-requirements)\n3. [Features](#features)\n4. [Latest Changes](#latest-changes)\n5. [Troubleshooting](#troubleshooting)\n6. [Contributing](#contributing)\n7. [Contributors](#contributors)\n8. [Support](#support)\n9. [Further Reading](#further-reading)\n\n### Installation\n\nThis fork is supported across Linux, Windows and Macintosh. Linux\nusers can use either an Nvidia-based card (with CUDA support) or an\nAMD card (using the ROCm driver). For full installation and upgrade\ninstructions, please see:\n[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALL_SOURCE/)\n\n### Hardware Requirements\n\nInvokeAI is supported across Linux, Windows and macOS. Linux\nusers can use either an Nvidia-based card (with CUDA support) or an\nAMD card (using the ROCm driver).\n#### System\n\nYou will need one of the following:\n\n- An NVIDIA-based graphics card with 4 GB or more VRAM memory.\n- An Apple computer with an M1 chip.\n\nWe do not recommend the GTX 1650 or 1660 series video cards. They are\nunable to run in half-precision mode and do not have sufficient VRAM\nto render 512x512 images.\n\n#### Memory\n\n- At least 12 GB Main Memory RAM.\n\n#### Disk\n\n- At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.\n\n**Note**\n\nIf you have a Nvidia 10xx series card (e.g. the 1080ti), please\nrun the dream script in full-precision mode as shown below.\n\nSimilarly, specify full-precision mode on Apple M1 hardware.\n\nPrecision is auto configured based on the device. If however you encounter\nerrors like 'expected type Float but found Half' or 'not implemented for Half'\nyou can try starting `invoke.py` with the `--precision=float32` flag to your initialization command\n\n```bash\n(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32\n```\nOr by updating your InvokeAI configuration file with this argument.\n\n### Features\n\n#### Major Features\n\n- [Web Server](https://invoke-ai.github.io/InvokeAI/features/WEB/)\n- [Interactive Command Line Interface](https://invoke-ai.github.io/InvokeAI/features/CLI/)\n- [Image To Image](https://invoke-ai.github.io/InvokeAI/features/IMG2IMG/)\n- [Inpainting Support](https://invoke-ai.github.io/InvokeAI/features/INPAINTING/)\n- [Outpainting Support](https://invoke-ai.github.io/InvokeAI/features/OUTPAINTING/)\n- [Upscaling, face-restoration and outpainting](https://invoke-ai.github.io/InvokeAI/features/POSTPROCESS/)\n- [Reading Prompts From File](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#reading-prompts-from-a-file)\n- [Prompt Blending](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#prompt-blending)\n- [Thresholding and Perlin Noise Initialization Options](https://invoke-ai.github.io/InvokeAI/features/OTHER/#thresholding-and-perlin-noise-initialization-options)\n- [Negative/Unconditioned Prompts](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#negative-and-unconditioned-prompts)\n- [Variations](https://invoke-ai.github.io/InvokeAI/features/VARIATIONS/)\n- [Personalizing Text-to-Image Generation](https://invoke-ai.github.io/InvokeAI/features/TEXTUAL_INVERSION/)\n- [Simplified API for text to image generation](https://invoke-ai.github.io/InvokeAI/features/OTHER/#simplified-api)\n\n#### Other Features\n\n- [Google Colab](https://invoke-ai.github.io/InvokeAI/features/OTHER/#google-colab)\n- [Seamless Tiling](https://invoke-ai.github.io/InvokeAI/features/OTHER/#seamless-tiling)\n- [Shortcut: Reusing Seeds](https://invoke-ai.github.io/InvokeAI/features/OTHER/#shortcuts-reusing-seeds)\n- [Preload Models](https://invoke-ai.github.io/InvokeAI/features/OTHER/#preload-models)\n\n### Latest Changes\n\nFor our latest changes, view our [Release Notes](https://github.com/invoke-ai/InvokeAI/releases)\n\n### Troubleshooting\n\nPlease check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation\nproblems and other issues.\n\n# Contributing\n\nAnyone who wishes to contribute to this project, whether documentation, features, bug fixes, code\ncleanup, testing, or code reviews, is very much encouraged to do so.\n\nTo join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.\n\nIf you are unfamiliar with how\nto contribute to GitHub projects, here is a\n[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the \"main\" branch**. \n\nWe hope you enjoy using our software as much as we enjoy creating it,\nand we hope that some of those of you who are reading this will elect\nto become part of our community.\n\nWelcome to InvokeAI!\n\n### Contributors\n\nThis fork is a combined effort of various people from across the world.\n[Check out the list of all these amazing people](https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/). We thank them for\ntheir time, hard work and effort.\n\n### Support\n\nFor support, please use this repository's GitHub Issues tracking service. Feel free to send me an\nemail if you use and like the script.\n\nOriginal portions of the software are Copyright (c) 2022\n[Lincoln D. Stein](https://github.com/lstein)\n\n### Further Reading\n\nPlease see the original README for more information on this software and underlying algorithm,\nlocated in the file [README-CompViz.md](https://invoke-ai.github.io/InvokeAI/other/README-CompViz/).\n","has_starred","hub_user","immutable_tags_settings",{"_71":11,"_72":73},"enabled","rules",[74],".*","is_automated","permissions",{"_78":17,"_79":11,"_80":11},"read","write","admin","user","storage_size",35860564715,"orgData","recentTags",[87],{"_88":40,"_89":90,"_91":92,"_93":94,"_95":96,"_97":98,"_46":113,"_114":90,"_115":29,"_116":52,"_53":117,"_118":119,"_120":104,"_121":113,"_122":62,"_123":17},"content_type","creator",133271,"digest","sha256:e33bc8c5a5f3b2e840c3bd9787db70d7ec3a91f121d6cfa24a73d239543f910c","full_size",6284788835,"id",356559602,"images",[99],{"_100":101,"_91":92,"_102":44,"_103":104,"_105":106,"_107":108,"_109":44,"_110":-5,"_111":94,"_59":62,"_112":-5},"architecture","amd64","features","last_pulled","2026-09-22T03:35:14.243702836Z","last_pushed","2023-01-14T18:58:06Z","os","linux","os_features","os_version","size","variant","2023-01-14T18:58:05.965336Z","last_updater","last_updater_username","media_type","latest","repository",18858641,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"routes/_layout.r.$namespace.$reponame.tags",{"_34":135,"_142":143,"_131":152,"_153":11},{"_36":136,"_38":137,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":138,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":139,"_75":11,"_76":141,"_81":29,"_82":83},[],[40],[52],{"_71":11,"_72":140},[74],{"_78":17,"_79":11,"_80":11},"tags",{"_144":60,"_145":-5,"_146":-5,"_147":148},"count","next","previous","results",[149],{"_88":40,"_89":90,"_91":92,"_93":94,"_95":96,"_97":150,"_46":113,"_114":90,"_115":29,"_116":52,"_53":117,"_118":119,"_120":104,"_121":113,"_122":62,"_123":17},[151],{"_100":101,"_91":92,"_102":44,"_103":104,"_105":106,"_107":108,"_109":44,"_110":-5,"_111":94,"_59":62,"_112":-5},[],"canDeleteTags","actionData","errors"]

georgi/invokeai

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