mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
0439b51a26
* partially working simple installer * works on linux * fix linux requirements files * read root environment variable in right place * fix cat invokeai.init in test workflows * fix classical cp error in test-invoke-pip.yml * respect --root argument now * untested bat installers added * windows install.bat now working fix logic to find frontend files * rename simple_install to "installer" 1. simple_install => 'installer' 2. source and binary install directories are removed * enable update scripts to update requirements - Also pin requirements to known working commits. - This may be a breaking change; exercise with caution - No functional testing performed yet! * update docs and installation requirements NOTE: This may be a breaking commit! Due to the way the installer works, I have to push to a public branch in order to do full end-to-end testing. - Updated installation docs, removing binary and source installers and substituting the "simple" unified installer. - Pin requirements for the "http:" downloads to known working commits. - Removed as much as possible the invoke-ai forks of others' repos. * fix directory path for installer * correct requirement/environment errors * exclude zip files in .gitignore * possible fix for dockerbuild * ready for torture testing - final Windows bat file tweaks - copy environments-and-requirements to the runtime directory so that the `update.sh` script can run. This is not ideal, since we lose control over the requirements. Better for the update script to pull the proper updated requirements script from the repository. * allow update.sh/update.bat to install arbitrary InvokeAI versions - Can pass the zip file path to any InvokeAI release, branch, commit or tag, and the installer will try to install it. - Updated documentation - Added Linux Python install hints. * use binary installer's :err_exit function * user diffusers 0.10.0 * added logic for CPPFLAGS on mac * improve windows install documentation - added information on a couple of gotchas I experienced during windows installation, including DLL loading errors experienced when Visual Studio C++ Redistributable was not present. * tagged to pull from 2.2.4-rc1 - also fix error of shell window closing immediately if suitable python not found Co-authored-by: mauwii <Mauwii@outlook.de>
290 lines
13 KiB
Markdown
290 lines
13 KiB
Markdown
---
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title: Home
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---
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<!--
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The Docs you find here (/docs/*) are built and deployed via mkdocs. If you want to run a local version to verify your changes, it's as simple as::
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```bash
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pip install -r requirements-mkdocs.txt
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mkdocs serve
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```
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<div align="center" markdown>
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# ^^**InvokeAI: A Stable Diffusion Toolkit**^^ :tools: <br> <small>Formerly known as lstein/stable-diffusion</small>
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[![project logo](assets/logo.png)](https://github.com/invoke-ai/InvokeAI)
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[![discord badge]][discord link]
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[![latest release badge]][latest release link]
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[![github stars badge]][github stars link]
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[![github forks badge]][github forks link]
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[![CI checks on main badge]][ci checks on main link]
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[![CI checks on dev badge]][ci checks on dev link]
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[![latest commit to dev badge]][latest commit to dev link]
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[![github open issues badge]][github open issues link]
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[![github open prs badge]][github open prs link]
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[ci checks on dev badge]:
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https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/development?label=CI%20status%20on%20dev&cache=900&icon=github
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[ci checks on dev link]:
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https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Adevelopment
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[ci checks on main badge]:
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https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/main?label=CI%20status%20on%20main&cache=900&icon=github
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[ci checks on main link]:
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https://github.com/invoke-ai/InvokeAI/actions/workflows/test-invoke-conda.yml
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[discord badge]: https://flat.badgen.net/discord/members/ZmtBAhwWhy?icon=discord
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[discord link]: https://discord.gg/ZmtBAhwWhy
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[github forks badge]:
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https://flat.badgen.net/github/forks/invoke-ai/InvokeAI?icon=github
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[github forks link]:
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https://useful-forks.github.io/?repo=lstein%2Fstable-diffusion
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[github open issues badge]:
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https://flat.badgen.net/github/open-issues/invoke-ai/InvokeAI?icon=github
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[github open issues link]:
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https://github.com/invoke-ai/InvokeAI/issues?q=is%3Aissue+is%3Aopen
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[github open prs badge]:
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https://flat.badgen.net/github/open-prs/invoke-ai/InvokeAI?icon=github
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[github open prs link]:
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https://github.com/invoke-ai/InvokeAI/pulls?q=is%3Apr+is%3Aopen
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[github stars badge]:
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https://flat.badgen.net/github/stars/invoke-ai/InvokeAI?icon=github
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[github stars link]: https://github.com/invoke-ai/InvokeAI/stargazers
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[latest commit to dev badge]:
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https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
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[latest commit to dev link]:
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https://github.com/invoke-ai/InvokeAI/commits/development
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[latest release badge]:
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https://flat.badgen.net/github/release/invoke-ai/InvokeAI/development?icon=github
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[latest release link]: https://github.com/invoke-ai/InvokeAI/releases
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</div>
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<a href="https://github.com/invoke-ai/InvokeAI">InvokeAI</a> is an
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implementation of Stable Diffusion, the open source text-to-image and
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image-to-image generator. It provides a streamlined process with various new
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features and options to aid the image generation process. It runs on Windows,
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Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM.
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**Quick links**: [<a href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a href="https://github.com/invoke-ai/InvokeAI/">Code and Downloads</a>] [<a href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>] [<a href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion, Ideas & Q&A</a>]
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<div align="center"><img src="assets/invoke-web-server-1.png" width=640></div>
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!!! note
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This fork is rapidly evolving. Please use the [Issues tab](https://github.com/invoke-ai/InvokeAI/issues) to report bugs and make feature requests. Be sure to use the provided templates. They will help aid diagnose issues faster.
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## :octicons-package-dependencies-24: Installation
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This fork is supported across Linux, Windows and Macintosh. Linux
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users can use either an Nvidia-based card (with CUDA support) or an
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AMD card (using the ROCm driver).
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First time users, please see [Automated
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Installer](installation/INSTALL_AUTOMATED.md) for a walkthrough of
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getting InvokeAI up and running on your system. For alternative
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installation and upgrade instructions, please see: [InvokeAI
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Installation Overview](installation/)
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Linux users who wish to make use of the PyPatchMatch inpainting
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functions will need to perform a bit of extra work to enable this
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module. Instructions can be found at [Installing
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PyPatchMatch](installation/INSTALL_PATCHMATCH.md).
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## :fontawesome-solid-computer: Hardware Requirements
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### :octicons-cpu-24: System
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You wil need one of the following:
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- :simple-nvidia: An NVIDIA-based graphics card with 4 GB or more VRAM memory.
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- :simple-amd: An AMD-based graphics card with 4 GB or more VRAM memory (Linux only)
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- :fontawesome-brands-apple: An Apple computer with an M1 chip.
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We do **not recommend** the following video cards due to issues with
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their running in half-precision mode and having insufficient VRAM to
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render 512x512 images in full-precision mode:
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- NVIDIA 10xx series cards such as the 1080ti
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- GTX 1650 series cards
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- GTX 1660 series cards
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### :fontawesome-solid-memory: Memory
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- At least 12 GB Main Memory RAM.
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### :fontawesome-regular-hard-drive: Disk
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- At least 18 GB of free disk space for the machine learning model, Python, and
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all its dependencies.
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!!! info
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Precision is auto configured based on the device. If however you encounter errors like
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`expected type Float but found Half` or `not implemented for Half` you can try starting
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`invoke.py` with the `--precision=float32` flag:
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```bash
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(invokeai) ~/InvokeAI$ python scripts/invoke.py --full_precision
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```
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## :octicons-gift-24: InvokeAI Features
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- [The InvokeAI Web Interface](features/WEB.md)
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- [WebGUI hotkey reference guide](features/WEBUIHOTKEYS.md)
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- [WebGUI Unified Canvas for Img2Img, inpainting and outpainting](features/UNIFIED_CANVAS.md)
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<!-- seperator -->
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- [The Command Line Interace](features/CLI.md)
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- [Image2Image](features/IMG2IMG.md)
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- [Inpainting](features/INPAINTING.md)
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- [Outpainting](features/OUTPAINTING.md)
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- [Adding custom styles and subjects](features/CONCEPTS.md)
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- [Upscaling and Face Reconstruction](features/POSTPROCESS.md)
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<!-- seperator -->
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- [Generating Variations](features/VARIATIONS.md)
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<!-- seperator -->
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- [Prompt Engineering](features/PROMPTS.md)
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<!-- seperator -->
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- Miscellaneous
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- [NSFW Checker](features/NSFW.md)
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- [Embiggen upscaling](features/EMBIGGEN.md)
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- [Other](features/OTHER.md)
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## :octicons-log-16: Latest Changes
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### v2.1.3 <small>(13 November 2022)</small>
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- A choice of installer scripts that automate installation and configuration. See [Installation](https://github.com/invoke-ai/InvokeAI/blob/2.1.3-rc6/docs/installation/INSTALL.md).
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- A streamlined manual installation process that works for both Conda and PIP-only installs. See [Manual Installation](https://github.com/invoke-ai/InvokeAI/blob/2.1.3-rc6/docs/installation/INSTALL_MANUAL.md).
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- The ability to save frequently-used startup options (model to load, steps, sampler, etc) in a `.invokeai` file. See [Client](https://github.com/invoke-ai/InvokeAI/blob/2.1.3-rc6/docs/features/CLI.md)
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- Support for AMD GPU cards (non-CUDA) on Linux machines.
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- Multiple bugs and edge cases squashed.
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### v2.1.0 <small>(2 November 2022)</small>
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- [Inpainting](https://invoke-ai.github.io/InvokeAI/features/INPAINTING/)
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support in the WebGUI
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- Greatly improved navigation and user experience in the
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[WebGUI](https://invoke-ai.github.io/InvokeAI/features/WEB/)
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- The prompt syntax has been enhanced with
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[prompt weighting, cross-attention and prompt merging](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/).
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- You can now load
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[multiple models and switch among them quickly](https://docs.google.com/presentation/d/1WywGA1rny7bpFh7CLSdTr4nNpVKdlUeT0Bj0jCsILyU/edit?usp=sharing)
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without leaving the CLI.
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- The installation process (via `scripts/configure_invokeai.py`) now lets you select
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among several popular
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[Stable Diffusion models](https://invoke-ai.github.io/InvokeAI/installation/INSTALLING_MODELS/)
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and downloads and installs them on your behalf. Among other models, this
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script will install the current Stable Diffusion 1.5 model as well as a
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StabilityAI variable autoencoder (VAE) which improves face generation.
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- Tired of struggling with photoeditors to get the masked region of for
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inpainting just right? Let the AI make the mask for you using
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[text masking](https://docs.google.com/presentation/d/1pWoY510hCVjz0M6X9CBbTznZgW2W5BYNKrmZm7B45q8/edit#slide=id.p).
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This feature allows you to specify the part of the image to paint over using
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just English-language phrases.
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- Tired of seeing the head of your subjects cropped off? Uncrop them in the CLI
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with the
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[outcrop feature](https://invoke-ai.github.io/InvokeAI/features/OUTPAINTING/#outcrop).
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- Tired of seeing your subject's bodies duplicated or mangled when generating
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larger-dimension images? Check out the `--hires` option in the CLI, or select
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the corresponding toggle in the WebGUI.
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- We now support textual inversion and fine-tune .bin styles and subjects from
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the Hugging Face archive of
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[SD Concepts](https://huggingface.co/sd-concepts-library). Load the .bin file
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using the `--embedding_path` option. (The next version will support merging
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and loading of multiple simultaneous models).
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- ...
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### v2.0.1 <small>(13 October 2022)</small>
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- fix noisy images at high step count when using k\* samplers
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- dream.py script now calls invoke.py module directly rather than via a new
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python process (which could break the environment)
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### v2.0.0 <small>(9 October 2022)</small>
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- `dream.py` script renamed `invoke.py`. A `dream.py` script wrapper remains for
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backward compatibility.
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- Completely new WebGUI - launch with `python3 scripts/invoke.py --web`
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- Support for
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<a href="https://invoke-ai.github.io/InvokeAI/features/INPAINTING/">inpainting</a>
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and
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<a href="https://invoke-ai.github.io/InvokeAI/features/OUTPAINTING/">outpainting</a>
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- img2img runs on all k\* samplers
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- Support for
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<a href="https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#negative-and-unconditioned-prompts">negative
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prompts</a>
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- Support for CodeFormer face reconstruction
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- Support for Textual Inversion on Macintoshes
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- Support in both WebGUI and CLI for
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<a href="https://invoke-ai.github.io/InvokeAI/features/POSTPROCESS/">post-processing
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of previously-generated images</a> using facial reconstruction, ESRGAN
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upscaling, outcropping (similar to DALL-E infinite canvas), and "embiggen"
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upscaling. See the `!fix` command.
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- New `--hires` option on `invoke>` line allows
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<a href="https://invoke-ai.github.io/InvokeAI/features/CLI/#txt2img">larger
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images to be created without duplicating elements</a>, at the cost of some
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performance.
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- New `--perlin` and `--threshold` options allow you to add and control
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variation during image generation (see
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<a href="https://github.com/invoke-ai/InvokeAI/blob/main/docs/features/OTHER.md#thresholding-and-perlin-noise-initialization-options">Thresholding
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and Perlin Noise Initialization</a>
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- Extensive metadata now written into PNG files, allowing reliable regeneration
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of images and tweaking of previous settings.
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- Command-line completion in `invoke.py` now works on Windows, Linux and Mac
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platforms.
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- Improved
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<a href="https://invoke-ai.github.io/InvokeAI/features/CLI/">command-line
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completion behavior</a>. New commands added:
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- List command-line history with `!history`
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- Search command-line history with `!search`
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- Clear history with `!clear`
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- Deprecated `--full_precision` / `-F`. Simply omit it and `invoke.py` will auto
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configure. To switch away from auto use the new flag like
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`--precision=float32`.
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For older changelogs, please visit the
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**[CHANGELOG](CHANGELOG/#v114-11-september-2022)**.
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## :material-target: Troubleshooting
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Please check out our
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**[:material-frequently-asked-questions: Q&A](help/TROUBLESHOOT.md)** to get
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solutions for common installation problems and other issues.
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## :octicons-repo-push-24: Contributing
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Anyone who wishes to contribute to this project, whether documentation,
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features, bug fixes, code cleanup, testing, or code reviews, is very much
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encouraged to do so. If you are unfamiliar with how to contribute to GitHub
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projects, here is a
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[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github).
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A full set of contribution guidelines, along with templates, are in progress,
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but for now the most important thing is to **make your pull request against the
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"development" branch**, and not against "main". This will help keep public
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breakage to a minimum and will allow you to propose more radical changes.
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## :octicons-person-24: Contributors
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This fork is a combined effort of various people from across the world.
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[Check out the list of all these amazing people](other/CONTRIBUTORS.md). We
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thank them for their time, hard work and effort.
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## :octicons-question-24: Support
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For support, please use this repository's GitHub Issues tracking service. Feel
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free to send me an email if you use and like the script.
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Original portions of the software are Copyright (c) 2020
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[Lincoln D. Stein](https://github.com/lstein)
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## :octicons-book-24: Further Reading
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Please see the original README for more information on this software and
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underlying algorithm, located in the file
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[README-CompViz.md](other/README-CompViz.md).
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