mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00

Go to file

Lincoln Stein 6f9f848345 enhance outcropping with ability to direct contents of new regions - When outcropping an image you can now add a `--new_prompt` option, to specify a new prompt to be used instead of the original one used to generate the image. - Similarly you can provide a new seed using `--seed` (or `-S`). A seed of zero will pick one randomly. - This PR also fixes the crash that happened when trying to outcrop an image that does not contain InvokeAI metadata.		2022-11-11 02:56:51 +00:00
.dev_scripts	Replace --full_precision with --precision that works even if not specified	2022-09-20 17:08:00 -04:00
.github	fix test-invoke-conda	2022-11-10 05:19:52 +01:00
assets	directory cleanup; working on install docs	2022-11-09 17:25:59 +00:00
backend	webgui working again	2022-11-02 18:07:18 -04:00
configs	fix models example weights for sd-v1.4	2022-10-31 21:35:09 -04:00
docker-build	fix build.sh invokeai_conda_env_file default value	2022-11-10 06:29:14 +01:00
docs	enhance outcropping with ability to direct contents of new regions	2022-11-11 02:56:51 +00:00
environments-and-requirements	change clipseg repo branch to avoid clipseg not found error	2022-11-10 19:37:07 +00:00
frontend	Fixes typos in README.md	2022-11-10 14:18:15 +00:00
installer	remove temporary directory from repo	2022-11-10 20:01:49 +00:00
ldm	enhance outcropping with ability to direct contents of new regions	2022-11-11 02:56:51 +00:00
models/ldm/stable-diffusion-v1	documentation and usability fixes	2022-10-29 10:37:38 -04:00
notebooks	add a strength value to `inpaint_replace`	2022-10-16 10:06:47 -04:00
scripts	enhance outcropping with ability to direct contents of new regions	2022-11-11 02:56:51 +00:00
server	add option to show intermediate latent space	2022-11-02 17:53:11 -04:00
source_installer	update repo URL to point to rc	2022-11-10 18:39:29 +00:00
static	Generalize facetool strength argument	2022-10-14 00:03:06 -04:00
tests	Merge branch 'development' into merge-main-into-development	2022-11-04 16:25:00 +01:00
.dockerignore	add .dockerignore to repo-root	2022-10-27 17:06:50 -04:00
.gitattributes	Update .gitattributes	2022-08-29 16:58:41 -05:00
.gitignore	ignore source installer zip files	2022-11-10 14:52:00 +00:00
.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
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
main.py	fix a number of bugs in textual inversion	2022-10-21 16:35:35 +02:00
mkdocs.yml	enable navigation tabs	2022-11-06 09:27:59 -08:00
README.md	Update README.md	2022-11-06 09:21:05 -08:00
requirements-mkdocs.txt	move all models into subdirectories of ./models	2022-11-08 05:31:02 +00:00
setup.py	move all models into subdirectories of ./models	2022-11-08 05:31:02 +00:00
shell.nix	nix: add shell.nix file	2022-10-25 07:08:31 -04:00
Stable_Diffusion_v1_Model_Card.md	stable diffusion	2022-08-10 16:30:49 +02:00

README.md

InvokeAI: A Stable Diffusion Toolkit

Formerly known as lstein/stable-diffusion

This is a fork of CompVis/stable-diffusion, the open source text-to-image generator. It provides a streamlined process with various new features and options to aid the image generation process. It runs on Windows, Mac and Linux machines, with GPU cards with as little as 4 GB of RAM. It provides both a polished Web interface (see below), and an easy-to-use command-line interface.

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

Note: This fork 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 aid diagnose issues faster.

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

Installation

This fork is supported across multiple platforms. You can find individual installation instructions below.

Hardware Requirements

System

You wil need one of the following:

An NVIDIA-based graphics card with 4 GB or more VRAM memory.
An Apple computer with an M1 chip.

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.

Note

If you have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in full-precision mode as shown below.

Similarly, specify full-precision mode on Apple M1 hardware.

Precision is auto configured based on the device. If however you encounter errors like 'expected type Float but found Half' or 'not implemented for Half' you can try starting invoke.py with the --precision=float32 flag:

(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32

Features

Major Features

Other Features

Latest Changes

v2.0.1 (13 October 2022)
- fix noisy images at high step count when using k* samplers
- dream.py script now calls invoke.py module directly rather than via a new python process (which could break the environment)
v2.0.0 (9 October 2022)
- dream.py script renamed invoke.py. A dream.py script wrapper remains for backward compatibility.
- Completely new WebGUI - launch with python3 scripts/invoke.py --web
- Support for inpainting and outpainting
- img2img runs on all k* samplers
- Support for negative prompts
- Support for CodeFormer face reconstruction
- Support for Textual Inversion on Macintoshes
- Support in both WebGUI and CLI for post-processing of previously-generated images using facial reconstruction, ESRGAN upscaling, outcropping (similar to DALL-E infinite canvas), and "embiggen" upscaling. See the !fix command.
- New --hires option on invoke> line allows larger images to be created without duplicating elements, at the cost of some performance.
- New --perlin and --threshold options allow you to add and control variation during image generation (see Thresholding and Perlin Noise Initialization
- Extensive metadata now written into PNG files, allowing reliable regeneration of images and tweaking of previous settings.
- Command-line completion in invoke.py now works on Windows, Linux and Mac platforms.
- Improved command-line completion behavior. New commands added:
  - List command-line history with !history
  - Search command-line history with !search
  - Clear history with !clear
- Deprecated --full_precision / -F. Simply omit it and invoke.py will auto configure. To switch away from auto use the new flag like --precision=float32.

For older changelogs, please visit 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. 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, but for now the most important thing is to make your pull request against the "development" branch, and not against "main". This will help keep public breakage to a minimum and will allow you to propose more radical changes.

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.

Support

For support, please use this repository's GitHub Issues tracking service. Feel free to send me an email if you use and like the script.