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blessedcoolant 33ce78e4a2 feat(ui): set up for weblate translation (#2702 ) # Weblate Translation After doing a full integration test of 3 translation service providers on my fork of InvokeAI, we have chosen [Weblate](https://hosted.weblate.org). The other two viable options were [Crowdin](https://crowdin.com/) and [Transifex](https://www.transifex.com/). Weblate was the choice because its hosted service provides a very solid UX / DX, can scale as much as we may ever need, is FOSS itself, and generously offers free hosted service to other libre projects like ours. ## How it works Weblate hosts its own fork of our repo and establishes a kind of unidirectional relationship between our repo and its fork. ### InvokeAI --> Weblate The `invoke-ai/InvokeAI` repo has had the Weblate GitHub app added to it. This app watches for changes to our translation source (`invokeai/frontend/public/locales/en.json`) and then updates the Weblate fork. The Weblate UI then knows there are new strings to be translated, or changes to be made. ### Translation Our translators can then update the translations on the Weblate UI. The plan now is to invite individual community members who have expressed interest in maintaining a language or two and give them access to the app. We can also open the doors to the general public if desired. ### Weblate --> InvokeAI When a translation is ready or changed, the system will make a PR to `main`. We have a substantial degree of control over this and will likely manually trigger these PRs instead of letting them fire off automatically. Once a PR is merged, we will still need to rebuild the web UI. I think we can set things up so that we only need the rebuild when a totally new language is added, but for now, we will stick to this relatively simple setup. ## This PR This PR sets up the web UI's translation stuff to work with Weblate: - merged each locale into a single file - updated the i18next config and UI to work with this simpler file structure - update our eslint and prettier rules to ensure the locale files have the same format as what Weblate outputs (`tabWidth: 4`) - added a thank you to Weblate in our README Once this is merged, I'll link Weblate to `main` and do a couple tests to ensure it is all working as expected.		2023-02-18 18:42:03 +13:00
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invokeai	chore(ui): build frontend	2023-02-18 15:26:24 +11:00
ldm	fix(xformers): shush about not having Triton available.	2023-02-17 17:41:27 -08:00
notebooks	Merge dev into main for 2.2.0 (#1642 )	2022-11-30 16:12:23 -05:00
scripts	fix spelling mistake	2023-02-16 00:19:08 -05:00
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.gitignore	adding support for ESRGAN denoising strength, which allows for improved detail retention when upscaling photorelistic faces	2023-02-08 22:36:35 -06:00
.gitmodules	remove src directory, which is gumming up conda installs; addresses issue #77	2022-08-25 10:43:05 -04:00
.prettierrc.yaml	change printWidth for markdown files to 80	2022-09-17 02:23:00 +02:00
CODE_OF_CONDUCT.md	Merge dev into main for 2.2.0 (#1642 )	2022-11-30 16:12:23 -05:00
InvokeAI_Statement_of_Values.md	Add @ebr to Contributors (#2095 )	2022-12-21 14:33:08 -05:00
LICENSE	adding license using GitHub template	2022-10-17 12:09:24 -04:00
LICENSE-ModelWeights.txt	added assertion checks for out-of-bound arguments; added various copyright and license agreement files	2022-08-24 09:22:27 -04:00
mkdocs.yml	(docs) add redirects for moved pages (#2063 )	2022-12-18 08:04:58 +00:00
pyproject.toml	Allow multiple models to be imported by passing a directory.	2023-02-05 08:11:02 -08:00
README.md	docs: add thanks to weblate for translation	2023-02-18 15:26:24 +11:00
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README.md

InvokeAI: A Stable Diffusion Toolkit

InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.

Quick links: [How to Install] [Discord Server] [Documentation and Tutorials] [Code and Downloads] [Bug Reports] [Discussion, Ideas & Q&A]

Note: InvokeAI is rapidly evolving. Please use the Issues tab to report bugs and make feature requests. Be sure to use the provided templates. They will help us diagnose issues faster.

Quick Start
Installation
Hardware Requirements
Features
Latest Changes
Troubleshooting
Contributing
Contributors
Support
Further Reading

Getting Started with InvokeAI

For full installation and upgrade instructions, please see: InvokeAI Installation Overview

Automatic Installer (suggested for 1st time users)

Go to the bottom of the Latest Release Page
Download the .zip file for your OS (Windows/macOS/Linux).
Unzip the file.
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.
You'll be asked to confirm the location of the folder in which to install InvokeAI and its image generation model files. Pick a location with at least 15 GB of free memory. More if you plan on installing lots of models.
Wait while the installer does its thing. After installing the software, the installer will launch a script that lets you configure InvokeAI and select a set of starting image generaiton models.
Find the folder that InvokeAI was installed into (it is not the same as the unpacked zip file directory!) The default location of this folder (if you didn't change it in step 5) is ~/invokeai on Linux/Mac systems, and C:\Users\YourName\invokeai on Windows. This directory will contain launcher scripts named invoke.sh and invoke.bat.
On Windows systems, 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
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.
Type banana sushi in the box on the top left and click Invoke

Command-Line Installation (for users familiar with Terminals)

You must have Python 3.9 or 3.10 installed on your machine. Earlier or later versions are not supported.

Open a command-line window on your machine. The PowerShell is recommended for Windows.
Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:
```
mkdir invokeai
```
Create a virtual environment named .venv inside this directory and activate it:
```
cd invokeai
python -m venv .venv --prompt InvokeAI
```
Activate the virtual environment (do it every time you run InvokeAI)

For Linux/Mac users:
```
source .venv/bin/activate
```
For Windows users:
```
.venv\Scripts\activate
```

Install the InvokeAI module and its dependencies. Choose the command suited for your platform & GPU.

For Windows/Linux with an NVIDIA GPU:

pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117

For Linux with an AMD GPU:

pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.2

For Macintoshes, either Intel or M1/M2:

pip install InvokeAI --use-pep517

Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
```
invokeai-configure
```
Launch the web server (do it every time you run InvokeAI):
```
invokeai --web
```
Point your browser to http://localhost:9090 to bring up the web interface.
Type banana sushi in the box on the top left and click Invoke.

Be sure to activate the virtual environment each time before re-launching InvokeAI, using source .venv/bin/activate or .venv\Scripts\activate.

Detailed Installation Instructions

This fork is supported across Linux, Windows and Macintosh. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver). For full installation and upgrade instructions, please see: InvokeAI Installation Overview

Hardware Requirements

InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).

System

You will need one of the following:

An NVIDIA-based graphics card with 4 GB or more VRAM memory.
An Apple computer with an M1 chip.
An AMD-based graphics card with 4GB or more VRAM memory. (Linux only)

We do not recommend the GTX 1650 or 1660 series video cards. They are unable to run in half-precision mode and do not have sufficient VRAM to render 512x512 images.

Memory

At least 12 GB Main Memory RAM.

Disk

At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.

Features

Feature documentation can be reviewed by navigating to the InvokeAI Documentation page

Web Server & UI

InvokeAI offers a locally hosted Web Server & React Frontend, with an industry leading user experience. The Web-based UI allows for simple and intuitive workflows, and is responsive for use on mobile devices and tablets accessing the web server.

Unified Canvas

The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.

Advanced Prompt Syntax

InvokeAI's advanced prompt syntax allows for token weighting, cross-attention control, and prompt blending, allowing for fine-tuned tweaking of your invocations and exploration of the latent space.

Command Line Interface

For users utilizing a terminal-based environment, or who want to take advantage of CLI features, InvokeAI offers an extensive and actively supported command-line interface that provides the full suite of generation functionality available in the tool.

Other features

Support for both ckpt and diffusers models
SD 2.0, 2.1 support
Noise Control & Tresholding
Popular Sampler Support
Upscaling & Face Restoration Tools
Embedding Manager & Support
Model Manager & Support

Coming Soon

Node-Based Architecture & UI
And more...

Latest Changes

For our latest changes, view our Release Notes and the CHANGELOG.

Troubleshooting

Please check out our Q&A to get solutions for common installation problems and other issues.

Contributing

Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code cleanup, testing, or code reviews, is very much encouraged to do so.

To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.

If you are unfamiliar with how to contribute to GitHub projects, here is a Getting Started Guide. A full set of contribution guidelines, along with templates, are in progress. You can make your pull request against the "main" branch.

We hope you enjoy using our software as much as we enjoy creating it, and we hope that some of those of you who are reading this will elect to become part of our community.

Welcome to InvokeAI!

Contributors

This fork is a combined effort of various people from across the world. Check out the list of all these amazing people. We thank them for their time, hard work and effort.

Thanks to Weblate for generously providing translation services to this project.

Support

For support, please use this repository's GitHub Issues tracking service, or join the Discord.