Simple Installer for Unified Directory Structure, Initial Implementation (#1819)

* 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>

docs/index.md

@@ -82,13 +82,18 @@ Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM.
 
 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](https://invoke-ai.github.io/InvokeAI/installation/)
+AMD card (using the ROCm driver).
+
+First time users, please see [Automated
+Installer](installation/INSTALL_AUTOMATED.md) for a walkthrough of
+getting InvokeAI up and running on your system. For alternative
+installation and upgrade instructions, please see: [InvokeAI
+Installation Overview](installation/)
 
 Linux users who wish to make use of the PyPatchMatch inpainting
 functions will need to perform a bit of extra work to enable this
-module. Instructions can be found at [Installing PyPatchMatch](installation/INSTALL_PATCHMATCH.md).
+module. Instructions can be found at [Installing
+PyPatchMatch](installation/INSTALL_PATCHMATCH.md).
 
 ## :fontawesome-solid-computer: Hardware Requirements
 
@@ -100,9 +105,13 @@ You wil need one of the following:
 - :simple-amd: An AMD-based graphics card with 4 GB or more VRAM memory (Linux only)
 - :fontawesome-brands-apple: An Apple computer with an M1 chip.
 
-We do not recommend the GTX 1650 or 1660 series video cards. They are
-unable to run in half-precision mode and do not come with sufficient VRAM
-to render 512x512 images.
+We do **not recommend** the following video cards due to issues with
+their running in half-precision mode and having insufficient VRAM to
+render 512x512 images in full-precision mode:
+
+- NVIDIA 10xx series cards such as the 1080ti
+- GTX 1650 series cards
+- GTX 1660 series cards
 
 ### :fontawesome-solid-memory: Memory
 
@@ -110,16 +119,11 @@ to render 512x512 images.
 
 ### :fontawesome-regular-hard-drive: Disk
 
-- At least 12 GB of free disk space for the machine learning model, Python, and
+- At least 18 GB of free disk space for the machine learning model, Python, and
   all its dependencies.
 
 !!! info
 
-    If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the invoke 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: