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Installer rewrite in Python (#2448)

Browse Source 
## Summary

This PR rewrites the core of the installer in Python for cross-platform
compatibility. Filesystem path manipulation, platform/arch decisions and
various edge cases are handled in a more convenient fashion. The
original `install.bat.in`/`install.sh.in` scripts are kept as
entrypoints for their respective OSs, but only serve as thin wrappers to
the Python module.

In addition, it:

- builds and **packages the .whl with the installer**, so that
downloading a versioned installer will guarantee installation of the
same version of the application.
- updates shell entrypoints: 
- new commands are `invokeai`, `invokeai-configure`, `invokeai-ti`,
`invokeai-merge`.
- these commands will be available in the activated `.venv` or via the
launch scripts
- `invoke.py` and `configure_invokeai.py` scripts are deprecated but
kept around for backwards compatibility and keeping users' surprise to a
minimum.
- introduces a new `ldm/invoke/config` package and moves the
`configure_invokeai` script into it. Similarly, movers Textual Inversion
script and TUI to `ldm/invoke/training`.
- moves the `configs` directory into the `ldm/invoke/config` package for
easy distribution.
- updates documentation to reflect all of the above changes
- fixes a failing test
- reduces wheel size to 3MB (from 27MB) by excluding unnecessary image
files under `assets`

⚠️ self-updating functionality and ability to install arbitrary
versions are still WIP. For now we can recommend downloading and running
the installer for a specific version as desired.

## Testing the source install

From the cloned source, check out this branch, and:

`$ python3 installer/main.py --root <path_to_destination>`

Also try:

`$ python3 installer/main.py ` - will prompt for paths
`$ python3 installer/main.py --yes` - will not prompt for any input

- try to combine the `--yes` and `--root` options
- try to install in destinations with "quirky" paths, such as paths
containing spaces in the directory name, etc.

## Testing the packaged install ("Automated Installer"):

Download the
[InvokeAI-installer-v2.3.0+a0.zip](https://github.com/invoke-ai/InvokeAI/files/10533913/InvokeAI-installer-v2.3.0%2Ba0.zip)
file, unzip it, and run the install script for your platform (preferably
in a terminal window)

OR make your own: from the cloned source, check out this branch, and:

```
cd installer
./create_installer.sh
# (do NOT tag/push when prompted! just say "no")
```

This will create the installation media:
`InvokeAI-installer-v2.3.0+a0.zip`. The installer is now
*platform-agnostic* - meaning, both Windows and *nix install resources
are packaged together.

Copy it somewhere as if it had been downloaded from the internet. Unzip
the file, enter the created `InvokeAI-Installer` directory, and run
`install.sh` or `install.bat` as applicable your platform.

⚠️ NOTE!!! `install.sh` accepts the same arguments as are
applicable to the Python script, i.e. you can `install.sh --yes --root
....`. This is NOT yet supported by the Windows `.bat` script. Only
interactive installation is supported on Windows. (this is still a
TODO).
This commit is contained in:
Lincoln Stein 2023-02-02 16:08:10 -05:00 committed by GitHub
commit 756e50f641
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668 changed files with 2161 additions and 2977 deletions
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6
.github/workflows/lint-frontend.yml vendored
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@ -3,14 +3,14 @@ name: Lint frontend
on: on:
pull_request: pull_request:
paths: paths:
- 'frontend/**' - 'invokeai/frontend/**'
push: push:
paths: paths:
- 'frontend/**' - 'invokeai/frontend/**'
defaults: defaults:
run: run:
working-directory: frontend working-directory: invokeai/frontend
jobs: jobs:
lint-frontend: lint-frontend:

44
.github/workflows/test-invoke-pip.yml vendored
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@ -22,19 +22,19 @@ jobs:
# - '3.9' # - '3.9'
- '3.10' - '3.10'
pytorch: pytorch:
- linux-cuda-11_6 # - linux-cuda-11_6
- linux-cuda-11_7 - linux-cuda-11_7
- linux-rocm-5_2 - linux-rocm-5_2
- linux-cpu - linux-cpu
- macos-default - macos-default
- windows-cpu - windows-cpu
- windows-cuda-11_6 # - windows-cuda-11_6
- windows-cuda-11_7 # - windows-cuda-11_7
include: include:
- pytorch: linux-cuda-11_6 # - pytorch: linux-cuda-11_6
os: ubuntu-22.04 # os: ubuntu-22.04
extra-index-url: 'https://download.pytorch.org/whl/cu116' # extra-index-url: 'https://download.pytorch.org/whl/cu116'
github-env: $GITHUB_ENV # github-env: $GITHUB_ENV
- pytorch: linux-cuda-11_7 - pytorch: linux-cuda-11_7
os: ubuntu-22.04 os: ubuntu-22.04
github-env: $GITHUB_ENV github-env: $GITHUB_ENV
@ -52,14 +52,14 @@ jobs:
- pytorch: windows-cpu - pytorch: windows-cpu
os: windows-2022 os: windows-2022
github-env: $env:GITHUB_ENV github-env: $env:GITHUB_ENV
- pytorch: windows-cuda-11_6 # - pytorch: windows-cuda-11_6
os: windows-2022 # os: windows-2022
extra-index-url: 'https://download.pytorch.org/whl/cu116' # extra-index-url: 'https://download.pytorch.org/whl/cu116'
github-env: $env:GITHUB_ENV # github-env: $env:GITHUB_ENV
- pytorch: windows-cuda-11_7 # - pytorch: windows-cuda-11_7
os: windows-2022 # os: windows-2022
extra-index-url: 'https://download.pytorch.org/whl/cu117' # extra-index-url: 'https://download.pytorch.org/whl/cu117'
github-env: $env:GITHUB_ENV # github-env: $env:GITHUB_ENV
name: ${{ matrix.pytorch }} on ${{ matrix.python-version }} name: ${{ matrix.pytorch }} on ${{ matrix.python-version }}
runs-on: ${{ matrix.os }} runs-on: ${{ matrix.os }}
steps: steps:
@ -93,9 +93,15 @@ jobs:
run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }} run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }}
- name: install invokeai - name: install invokeai
run: pip3 install --use-pep517 -e .
env: env:
PIP_EXTRA_INDEX_URL: ${{ matrix.extra-index-url }} PIP_EXTRA_INDEX_URL: ${{ matrix.extra-index-url }}
run: >
pip3 install
--use-pep517
--editable=".[test]"
- name: run pytest
run: pytest
- name: Use Cached models - name: Use Cached models
id: cache-sd-model id: cache-sd-model
@ -107,12 +113,12 @@ jobs:
key: ${{ env.cache-name }} key: ${{ env.cache-name }}
enableCrossOsArchive: true enableCrossOsArchive: true
- name: run configure_invokeai - name: run invokeai-configure
id: run-preload-models id: run-preload-models
env: env:
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }} HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }}
run: > run: >
configure_invokeai invokeai-configure
--yes --yes
--default_only --default_only
--full-precision --full-precision
@ -127,7 +133,7 @@ jobs:
HF_DATASETS_OFFLINE: 1 HF_DATASETS_OFFLINE: 1
TRANSFORMERS_OFFLINE: 1 TRANSFORMERS_OFFLINE: 1
run: > run: >
invoke invokeai
--no-patchmatch --no-patchmatch
--no-nsfw_checker --no-nsfw_checker
--from_file ${{ env.TEST_PROMPTS }} --from_file ${{ env.TEST_PROMPTS }}

4
.gitignore vendored
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@ -72,6 +72,7 @@ coverage.xml
.hypothesis/ .hypothesis/
.pytest_cache/ .pytest_cache/
cover/ cover/
junit/
# Translations # Translations
*.mo *.mo
@ -230,8 +231,5 @@ installer/install.sh
installer/update.bat installer/update.bat
installer/update.sh installer/update.sh
# this may be present if the user created a venv
invokeai
# no longer stored in source directory # no longer stored in source directory
models models

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configs/sd-concepts.txt
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@ -1,803 +0,0 @@
sd-concepts-library/001glitch-core
sd-concepts-library/2814-roth
sd-concepts-library/3d-female-cyborgs
sd-concepts-library/4tnght
sd-concepts-library/80s-anime-ai
sd-concepts-library/80s-anime-ai-being
sd-concepts-library/852style-girl
sd-concepts-library/8bit
sd-concepts-library/8sconception
sd-concepts-library/Aflac-duck
sd-concepts-library/Akitsuki
sd-concepts-library/Atako
sd-concepts-library/Exodus-Styling
sd-concepts-library/RINGAO
sd-concepts-library/a-female-hero-from-the-legend-of-mir
sd-concepts-library/a-hat-kid
sd-concepts-library/a-tale-of-two-empires
sd-concepts-library/aadhav-face
sd-concepts-library/aavegotchi
sd-concepts-library/abby-face
sd-concepts-library/abstract-concepts
sd-concepts-library/accurate-angel
sd-concepts-library/agm-style-nao
sd-concepts-library/aj-fosik
sd-concepts-library/alberto-mielgo
sd-concepts-library/alex-portugal
sd-concepts-library/alex-thumbnail-object-2000-steps
sd-concepts-library/aleyna-tilki
sd-concepts-library/alf
sd-concepts-library/alicebeta
sd-concepts-library/alien-avatar
sd-concepts-library/alisa
sd-concepts-library/all-rings-albuns
sd-concepts-library/altvent
sd-concepts-library/altyn-helmet
sd-concepts-library/amine
sd-concepts-library/amogus
sd-concepts-library/anders-zorn
sd-concepts-library/angus-mcbride-style
sd-concepts-library/animalve3-1500seq
sd-concepts-library/anime-background-style
sd-concepts-library/anime-background-style-v2
sd-concepts-library/anime-boy
sd-concepts-library/anime-girl
sd-concepts-library/anyXtronXredshift
sd-concepts-library/anya-forger
sd-concepts-library/apex-wingman
sd-concepts-library/apulian-rooster-v0-1
sd-concepts-library/arcane-face
sd-concepts-library/arcane-style-jv
sd-concepts-library/arcimboldo-style
sd-concepts-library/armando-reveron-style
sd-concepts-library/armor-concept
sd-concepts-library/arq-render
sd-concepts-library/art-brut
sd-concepts-library/arthur1
sd-concepts-library/artist-yukiko-kanagai
sd-concepts-library/arwijn
sd-concepts-library/ashiok
sd-concepts-library/at-wolf-boy-object
sd-concepts-library/atm-ant
sd-concepts-library/atm-ant-2
sd-concepts-library/axe-tattoo
sd-concepts-library/ayush-spider-spr
sd-concepts-library/azura-from-vibrant-venture
sd-concepts-library/ba-shiroko
sd-concepts-library/babau
sd-concepts-library/babs-bunny
sd-concepts-library/babushork
sd-concepts-library/backrooms
sd-concepts-library/bad_Hub_Hugh
sd-concepts-library/bada-club
sd-concepts-library/baldi
sd-concepts-library/baluchitherian
sd-concepts-library/bamse
sd-concepts-library/bamse-og-kylling
sd-concepts-library/bee
sd-concepts-library/beholder
sd-concepts-library/beldam
sd-concepts-library/belen
sd-concepts-library/bella-goth
sd-concepts-library/belle-delphine
sd-concepts-library/bert-muppet
sd-concepts-library/better-collage3
sd-concepts-library/between2-mt-fade
sd-concepts-library/birb-style
sd-concepts-library/black-and-white-design
sd-concepts-library/black-waifu
sd-concepts-library/bloo
sd-concepts-library/blue-haired-boy
sd-concepts-library/blue-zombie
sd-concepts-library/blue-zombiee
sd-concepts-library/bluebey
sd-concepts-library/bluebey-2
sd-concepts-library/bobs-burgers
sd-concepts-library/boissonnard
sd-concepts-library/bonzi-monkey
sd-concepts-library/borderlands
sd-concepts-library/bored-ape-textual-inversion
sd-concepts-library/boris-anderson
sd-concepts-library/bozo-22
sd-concepts-library/breakcore
sd-concepts-library/brittney-williams-art
sd-concepts-library/bruma
sd-concepts-library/brunnya
sd-concepts-library/buddha-statue
sd-concepts-library/bullvbear
sd-concepts-library/button-eyes
sd-concepts-library/canadian-goose
sd-concepts-library/canary-cap
sd-concepts-library/cancer_style
sd-concepts-library/captain-haddock
sd-concepts-library/captainkirb
sd-concepts-library/car-toy-rk
sd-concepts-library/carasibana
sd-concepts-library/carlitos-el-mago
sd-concepts-library/carrascharacter
sd-concepts-library/cartoona-animals
sd-concepts-library/cat-toy
sd-concepts-library/centaur
sd-concepts-library/cgdonny1
sd-concepts-library/cham
sd-concepts-library/chandra-nalaar
sd-concepts-library/char-con
sd-concepts-library/character-pingu
sd-concepts-library/cheburashka
sd-concepts-library/chen-1
sd-concepts-library/child-zombie
sd-concepts-library/chillpill
sd-concepts-library/chonkfrog
sd-concepts-library/chop
sd-concepts-library/christo-person
sd-concepts-library/chuck-walton
sd-concepts-library/chucky
sd-concepts-library/chungus-poodl-pet
sd-concepts-library/cindlop
sd-concepts-library/collage-cutouts
sd-concepts-library/collage14
sd-concepts-library/collage3
sd-concepts-library/collage3-hubcity
sd-concepts-library/cologne
sd-concepts-library/color-page
sd-concepts-library/colossus
sd-concepts-library/command-and-conquer-remastered-cameos
sd-concepts-library/concept-art
sd-concepts-library/conner-fawcett-style
sd-concepts-library/conway-pirate
sd-concepts-library/coop-himmelblau
sd-concepts-library/coraline
sd-concepts-library/cornell-box
sd-concepts-library/cortana
sd-concepts-library/covid-19-rapid-test
sd-concepts-library/cow-uwu
sd-concepts-library/cowboy
sd-concepts-library/crazy-1
sd-concepts-library/crazy-2
sd-concepts-library/crb-portraits
sd-concepts-library/crb-surrealz
sd-concepts-library/crbart
sd-concepts-library/crested-gecko
sd-concepts-library/crinos-form-garou
sd-concepts-library/cry-baby-style
sd-concepts-library/crybaby-style-2-0
sd-concepts-library/csgo-awp-object
sd-concepts-library/csgo-awp-texture-map
sd-concepts-library/cubex
sd-concepts-library/cumbia-peruana
sd-concepts-library/cute-bear
sd-concepts-library/cute-cat
sd-concepts-library/cute-game-style
sd-concepts-library/cyberpunk-lucy
sd-concepts-library/dabotap
sd-concepts-library/dan-mumford
sd-concepts-library/dan-seagrave-art-style
sd-concepts-library/dark-penguin-pinguinanimations
sd-concepts-library/darkpenguinanimatronic
sd-concepts-library/darkplane
sd-concepts-library/david-firth-artstyle
sd-concepts-library/david-martinez-cyberpunk
sd-concepts-library/david-martinez-edgerunners
sd-concepts-library/david-moreno-architecture
sd-concepts-library/daycare-attendant-sun-fnaf
sd-concepts-library/ddattender
sd-concepts-library/degods
sd-concepts-library/degodsheavy
sd-concepts-library/depthmap
sd-concepts-library/depthmap-style
sd-concepts-library/design
sd-concepts-library/detectivedinosaur1
sd-concepts-library/diaosu-toy
sd-concepts-library/dicoo
sd-concepts-library/dicoo2
sd-concepts-library/dishonored-portrait-styles
sd-concepts-library/disquieting-muses
sd-concepts-library/ditko
sd-concepts-library/dlooak
sd-concepts-library/doc
sd-concepts-library/doener-red-line-art
sd-concepts-library/dog
sd-concepts-library/dog-django
sd-concepts-library/doge-pound
sd-concepts-library/dong-ho
sd-concepts-library/dong-ho2
sd-concepts-library/doose-s-realistic-art-style
sd-concepts-library/dq10-anrushia
sd-concepts-library/dr-livesey
sd-concepts-library/dr-strange
sd-concepts-library/dragonborn
sd-concepts-library/dreamcore
sd-concepts-library/dreamy-painting
sd-concepts-library/drive-scorpion-jacket
sd-concepts-library/dsmuses
sd-concepts-library/dtv-pkmn
sd-concepts-library/dullboy-caricature
sd-concepts-library/duranduran
sd-concepts-library/durer-style
sd-concepts-library/dyoudim-style
sd-concepts-library/early-mishima-kurone
sd-concepts-library/eastward
sd-concepts-library/eddie
sd-concepts-library/edgerunners-style
sd-concepts-library/edgerunners-style-v2
sd-concepts-library/el-salvador-style-style
sd-concepts-library/elegant-flower
sd-concepts-library/elspeth-tirel
sd-concepts-library/eru-chitanda-casual
sd-concepts-library/erwin-olaf-style
sd-concepts-library/ettblackteapot
sd-concepts-library/explosions-cat
sd-concepts-library/eye-of-agamotto
sd-concepts-library/f-22
sd-concepts-library/facadeplace
sd-concepts-library/fairy-tale-painting-style
sd-concepts-library/fairytale
sd-concepts-library/fang-yuan-001
sd-concepts-library/faraon-love-shady
sd-concepts-library/fasina
sd-concepts-library/felps
sd-concepts-library/female-kpop-singer
sd-concepts-library/fergal-cat
sd-concepts-library/filename-2
sd-concepts-library/fileteado-porteno
sd-concepts-library/final-fantasy-logo
sd-concepts-library/fireworks-over-water
sd-concepts-library/fish
sd-concepts-library/flag-ussr
sd-concepts-library/flatic
sd-concepts-library/floral
sd-concepts-library/fluid-acrylic-jellyfish-creatures-style-of-carl-ingram-art
sd-concepts-library/fnf-boyfriend
sd-concepts-library/fold-structure
sd-concepts-library/fox-purple
sd-concepts-library/fractal
sd-concepts-library/fractal-flame
sd-concepts-library/fractal-temple-style
sd-concepts-library/frank-frazetta
sd-concepts-library/franz-unterberger
sd-concepts-library/freddy-fazbear
sd-concepts-library/freefonix-style
sd-concepts-library/furrpopasthetic
sd-concepts-library/fursona
sd-concepts-library/fzk
sd-concepts-library/galaxy-explorer
sd-concepts-library/ganyu-genshin-impact
sd-concepts-library/garcon-the-cat
sd-concepts-library/garfield-pizza-plush
sd-concepts-library/garfield-pizza-plush-v2
sd-concepts-library/gba-fe-class-cards
sd-concepts-library/gba-pokemon-sprites
sd-concepts-library/geggin
sd-concepts-library/ggplot2
sd-concepts-library/ghost-style
sd-concepts-library/ghostproject-men
sd-concepts-library/gibasachan-v0
sd-concepts-library/gim
sd-concepts-library/gio
sd-concepts-library/giygas
sd-concepts-library/glass-pipe
sd-concepts-library/glass-prism-cube
sd-concepts-library/glow-forest
sd-concepts-library/goku
sd-concepts-library/gram-tops
sd-concepts-library/green-blue-shanshui
sd-concepts-library/green-tent
sd-concepts-library/grifter
sd-concepts-library/grisstyle
sd-concepts-library/grit-toy
sd-concepts-library/gt-color-paint-2
sd-concepts-library/gta5-artwork
sd-concepts-library/guttestreker
sd-concepts-library/gymnastics-leotard-v2
sd-concepts-library/half-life-2-dog
sd-concepts-library/handstand
sd-concepts-library/hanfu-anime-style
sd-concepts-library/happy-chaos
sd-concepts-library/happy-person12345
sd-concepts-library/happy-person12345-assets
sd-concepts-library/harley-quinn
sd-concepts-library/harmless-ai-1
sd-concepts-library/harmless-ai-house-style-1
sd-concepts-library/hd-emoji
sd-concepts-library/heather
sd-concepts-library/henjo-techno-show
sd-concepts-library/herge-style
sd-concepts-library/hiten-style-nao
sd-concepts-library/hitokomoru-style-nao
sd-concepts-library/hiyuki-chan
sd-concepts-library/hk-bamboo
sd-concepts-library/hk-betweenislands
sd-concepts-library/hk-bicycle
sd-concepts-library/hk-blackandwhite
sd-concepts-library/hk-breakfast
sd-concepts-library/hk-buses
sd-concepts-library/hk-clouds
sd-concepts-library/hk-goldbuddha
sd-concepts-library/hk-goldenlantern
sd-concepts-library/hk-hkisland
sd-concepts-library/hk-leaves
sd-concepts-library/hk-market
sd-concepts-library/hk-oldcamera
sd-concepts-library/hk-opencamera
sd-concepts-library/hk-peach
sd-concepts-library/hk-phonevax
sd-concepts-library/hk-streetpeople
sd-concepts-library/hk-vintage
sd-concepts-library/hoi4
sd-concepts-library/hoi4-leaders
sd-concepts-library/homestuck-sprite
sd-concepts-library/homestuck-troll
sd-concepts-library/hours-sentry-fade
sd-concepts-library/hours-style
sd-concepts-library/hrgiger-drmacabre
sd-concepts-library/huang-guang-jian
sd-concepts-library/huatli
sd-concepts-library/huayecai820-greyscale
sd-concepts-library/hub-city
sd-concepts-library/hubris-oshri
sd-concepts-library/huckleberry
sd-concepts-library/hydrasuit
sd-concepts-library/i-love-chaos
sd-concepts-library/ibere-thenorio
sd-concepts-library/ic0n
sd-concepts-library/ie-gravestone
sd-concepts-library/ikea-fabler
sd-concepts-library/illustration-style
sd-concepts-library/ilo-kunst
sd-concepts-library/ilya-shkipin
sd-concepts-library/im-poppy
sd-concepts-library/ina-art
sd-concepts-library/indian-watercolor-portraits
sd-concepts-library/indiana
sd-concepts-library/ingmar-bergman
sd-concepts-library/insidewhale
sd-concepts-library/interchanges
sd-concepts-library/inuyama-muneto-style-nao
sd-concepts-library/irasutoya
sd-concepts-library/iridescent-illustration-style
sd-concepts-library/iridescent-photo-style
sd-concepts-library/isabell-schulte-pv-pvii-3000steps
sd-concepts-library/isabell-schulte-pviii-1-image-style
sd-concepts-library/isabell-schulte-pviii-1024px-1500-steps-style
sd-concepts-library/isabell-schulte-pviii-12tiles-3000steps-style
sd-concepts-library/isabell-schulte-pviii-4-tiles-1-lr-3000-steps-style
sd-concepts-library/isabell-schulte-pviii-4-tiles-3-lr-5000-steps-style
sd-concepts-library/isabell-schulte-pviii-4tiles-500steps
sd-concepts-library/isabell-schulte-pviii-4tiles-6000steps
sd-concepts-library/isabell-schulte-pviii-style
sd-concepts-library/isometric-tile-test
sd-concepts-library/jacqueline-the-unicorn
sd-concepts-library/james-web-space-telescope
sd-concepts-library/jamie-hewlett-style
sd-concepts-library/jamiels
sd-concepts-library/jang-sung-rak-style
sd-concepts-library/jetsetdreamcastcovers
sd-concepts-library/jin-kisaragi
sd-concepts-library/jinjoon-lee-they
sd-concepts-library/jm-bergling-monogram
sd-concepts-library/joe-mad
sd-concepts-library/joe-whiteford-art-style
sd-concepts-library/joemad
sd-concepts-library/john-blanche
sd-concepts-library/johnny-silverhand
sd-concepts-library/jojo-bizzare-adventure-manga-lineart
sd-concepts-library/jos-de-kat
sd-concepts-library/junji-ito-artstyle
sd-concepts-library/kaleido
sd-concepts-library/kaneoya-sachiko
sd-concepts-library/kanovt
sd-concepts-library/kanv1
sd-concepts-library/karan-gloomy
sd-concepts-library/karl-s-lzx-1
sd-concepts-library/kasumin
sd-concepts-library/kawaii-colors
sd-concepts-library/kawaii-girl-plus-object
sd-concepts-library/kawaii-girl-plus-style
sd-concepts-library/kawaii-girl-plus-style-v1-1
sd-concepts-library/kay
sd-concepts-library/kaya-ghost-assasin
sd-concepts-library/ki
sd-concepts-library/kinda-sus
sd-concepts-library/kings-quest-agd
sd-concepts-library/kiora
sd-concepts-library/kira-sensei
sd-concepts-library/kirby
sd-concepts-library/klance
sd-concepts-library/kodakvision500t
sd-concepts-library/kogatan-shiny
sd-concepts-library/kogecha
sd-concepts-library/kojima-ayami
sd-concepts-library/koko-dog
sd-concepts-library/kuvshinov
sd-concepts-library/kysa-v-style
sd-concepts-library/laala-character
sd-concepts-library/larrette
sd-concepts-library/lavko
sd-concepts-library/lazytown-stephanie
sd-concepts-library/ldr
sd-concepts-library/ldrs
sd-concepts-library/led-toy
sd-concepts-library/lego-astronaut
sd-concepts-library/leica
sd-concepts-library/leif-jones
sd-concepts-library/lex
sd-concepts-library/liliana
sd-concepts-library/liliana-vess
sd-concepts-library/liminal-spaces-2-0
sd-concepts-library/liminalspaces
sd-concepts-library/line-art
sd-concepts-library/line-style
sd-concepts-library/linnopoke
sd-concepts-library/liquid-light
sd-concepts-library/liqwid-aquafarmer
sd-concepts-library/lizardman
sd-concepts-library/loab-character
sd-concepts-library/loab-style
sd-concepts-library/lofa
sd-concepts-library/logo-with-face-on-shield
sd-concepts-library/lolo
sd-concepts-library/looney-anime
sd-concepts-library/lost-rapper
sd-concepts-library/lphr-style
sd-concepts-library/lucario
sd-concepts-library/lucky-luke
sd-concepts-library/lugal-ki-en
sd-concepts-library/luinv2
sd-concepts-library/lula-13
sd-concepts-library/lumio
sd-concepts-library/lxj-o4
sd-concepts-library/m-geo
sd-concepts-library/m-geoo
sd-concepts-library/madhubani-art
sd-concepts-library/mafalda-character
sd-concepts-library/magic-pengel
sd-concepts-library/malika-favre-art-style
sd-concepts-library/manga-style
sd-concepts-library/marbling-art
sd-concepts-library/margo
sd-concepts-library/marty
sd-concepts-library/marty6
sd-concepts-library/mass
sd-concepts-library/masyanya
sd-concepts-library/masyunya
sd-concepts-library/mate
sd-concepts-library/matthew-stone
sd-concepts-library/mattvidpro
sd-concepts-library/maurice-quentin-de-la-tour-style
sd-concepts-library/maus
sd-concepts-library/max-foley
sd-concepts-library/mayor-richard-irvin
sd-concepts-library/mechasoulall
sd-concepts-library/medazzaland
sd-concepts-library/memnarch-mtg
sd-concepts-library/metagabe
sd-concepts-library/meyoco
sd-concepts-library/meze-audio-elite-headphones
sd-concepts-library/midjourney-style
sd-concepts-library/mikako-method
sd-concepts-library/mikako-methodi2i
sd-concepts-library/miko-3-robot
sd-concepts-library/milady
sd-concepts-library/mildemelwe-style
sd-concepts-library/million-live-akane-15k
sd-concepts-library/million-live-akane-3k
sd-concepts-library/million-live-akane-shifuku-3k
sd-concepts-library/million-live-spade-q-object-3k
sd-concepts-library/million-live-spade-q-style-3k
sd-concepts-library/minecraft-concept-art
sd-concepts-library/mishima-kurone
sd-concepts-library/mizkif
sd-concepts-library/moeb-style
sd-concepts-library/moebius
sd-concepts-library/mokoko
sd-concepts-library/mokoko-seed
sd-concepts-library/monster-girl
sd-concepts-library/monster-toy
sd-concepts-library/monte-novo
sd-concepts-library/moo-moo
sd-concepts-library/morino-hon-style
sd-concepts-library/moxxi
sd-concepts-library/msg
sd-concepts-library/mtg-card
sd-concepts-library/mtl-longsky
sd-concepts-library/mu-sadr
sd-concepts-library/munch-leaks-style
sd-concepts-library/museum-by-coop-himmelblau
sd-concepts-library/muxoyara
sd-concepts-library/my-hero-academia-style
sd-concepts-library/my-mug
sd-concepts-library/mycat
sd-concepts-library/mystical-nature
sd-concepts-library/naf
sd-concepts-library/nahiri
sd-concepts-library/namine-ritsu
sd-concepts-library/naoki-saito
sd-concepts-library/nard-style
sd-concepts-library/naruto
sd-concepts-library/natasha-johnston
sd-concepts-library/nathan-wyatt
sd-concepts-library/naval-portrait
sd-concepts-library/nazuna
sd-concepts-library/nebula
sd-concepts-library/ned-flanders
sd-concepts-library/neon-pastel
sd-concepts-library/new-priests
sd-concepts-library/nic-papercuts
sd-concepts-library/nikodim
sd-concepts-library/nissa-revane
sd-concepts-library/nixeu
sd-concepts-library/noggles
sd-concepts-library/nomad
sd-concepts-library/nouns-glasses
sd-concepts-library/obama-based-on-xi
sd-concepts-library/obama-self-2
sd-concepts-library/og-mox-style
sd-concepts-library/ohisashiburi-style
sd-concepts-library/oleg-kuvaev
sd-concepts-library/olli-olli
sd-concepts-library/on-kawara
sd-concepts-library/one-line-drawing
sd-concepts-library/onepunchman
sd-concepts-library/onzpo
sd-concepts-library/orangejacket
sd-concepts-library/ori
sd-concepts-library/ori-toor
sd-concepts-library/orientalist-art
sd-concepts-library/osaka-jyo
sd-concepts-library/osaka-jyo2
sd-concepts-library/osrsmini2
sd-concepts-library/osrstiny
sd-concepts-library/other-mother
sd-concepts-library/ouroboros
sd-concepts-library/outfit-items
sd-concepts-library/overprettified
sd-concepts-library/owl-house
sd-concepts-library/painted-by-silver-of-999
sd-concepts-library/painted-by-silver-of-999-2
sd-concepts-library/painted-student
sd-concepts-library/painting
sd-concepts-library/pantone-milk
sd-concepts-library/paolo-bonolis
sd-concepts-library/party-girl
sd-concepts-library/pascalsibertin
sd-concepts-library/pastelartstyle
sd-concepts-library/paul-noir
sd-concepts-library/pen-ink-portraits-bennorthen
sd-concepts-library/phan
sd-concepts-library/phan-s-collage
sd-concepts-library/phc
sd-concepts-library/phoenix-01
sd-concepts-library/pineda-david
sd-concepts-library/pink-beast-pastelae-style
sd-concepts-library/pintu
sd-concepts-library/pion-by-august-semionov
sd-concepts-library/piotr-jablonski
sd-concepts-library/pixel-mania
sd-concepts-library/pixel-toy
sd-concepts-library/pjablonski-style
sd-concepts-library/plant-style
sd-concepts-library/plen-ki-mun
sd-concepts-library/pokemon-conquest-sprites
sd-concepts-library/pool-test
sd-concepts-library/poolrooms
sd-concepts-library/poring-ragnarok-online
sd-concepts-library/poutine-dish
sd-concepts-library/princess-knight-art
sd-concepts-library/progress-chip
sd-concepts-library/puerquis-toy
sd-concepts-library/purplefishli
sd-concepts-library/pyramidheadcosplay
sd-concepts-library/qpt-atrium
sd-concepts-library/quiesel
sd-concepts-library/r-crumb-style
sd-concepts-library/rahkshi-bionicle
sd-concepts-library/raichu
sd-concepts-library/rail-scene
sd-concepts-library/rail-scene-style
sd-concepts-library/ralph-mcquarrie
sd-concepts-library/ransom
sd-concepts-library/rayne-weynolds
sd-concepts-library/rcrumb-portraits-style
sd-concepts-library/rd-chaos
sd-concepts-library/rd-paintings
sd-concepts-library/red-glasses
sd-concepts-library/reeducation-camp
sd-concepts-library/reksio-dog
sd-concepts-library/rektguy
sd-concepts-library/remert
sd-concepts-library/renalla
sd-concepts-library/repeat
sd-concepts-library/retro-girl
sd-concepts-library/retro-mecha-rangers
sd-concepts-library/retropixelart-pinguin
sd-concepts-library/rex-deno
sd-concepts-library/rhizomuse-machine-bionic-sculpture
sd-concepts-library/ricar
sd-concepts-library/rickyart
sd-concepts-library/rico-face
sd-concepts-library/riker-doll
sd-concepts-library/rikiart
sd-concepts-library/rikiboy-art
sd-concepts-library/rilakkuma
sd-concepts-library/rishusei-style
sd-concepts-library/rj-palmer
sd-concepts-library/rl-pkmn-test
sd-concepts-library/road-to-ruin
sd-concepts-library/robertnava
sd-concepts-library/roblox-avatar
sd-concepts-library/roy-lichtenstein
sd-concepts-library/ruan-jia
sd-concepts-library/russian
sd-concepts-library/s1m-naoto-ohshima
sd-concepts-library/saheeli-rai
sd-concepts-library/sakimi-style
sd-concepts-library/salmonid
sd-concepts-library/sam-yang
sd-concepts-library/sanguo-guanyu
sd-concepts-library/sas-style
sd-concepts-library/scarlet-witch
sd-concepts-library/schloss-mosigkau
sd-concepts-library/scrap-style
sd-concepts-library/scratch-project
sd-concepts-library/sculptural-style
sd-concepts-library/sd-concepts-library-uma-meme
sd-concepts-library/seamless-ground
sd-concepts-library/selezneva-alisa
sd-concepts-library/sem-mac2n
sd-concepts-library/senneca
sd-concepts-library/seraphimmoonshadow-art
sd-concepts-library/sewerslvt
sd-concepts-library/she-hulk-law-art
sd-concepts-library/she-mask
sd-concepts-library/sherhook-painting
sd-concepts-library/sherhook-painting-v2
sd-concepts-library/shev-linocut
sd-concepts-library/shigure-ui-style
sd-concepts-library/shiny-polyman
sd-concepts-library/shrunken-head
sd-concepts-library/shu-doll
sd-concepts-library/shvoren-style
sd-concepts-library/sims-2-portrait
sd-concepts-library/singsing
sd-concepts-library/singsing-doll
sd-concepts-library/sintez-ico
sd-concepts-library/skyfalls
sd-concepts-library/slm
sd-concepts-library/smarties
sd-concepts-library/smiling-friend-style
sd-concepts-library/smooth-pencils
sd-concepts-library/smurf-style
sd-concepts-library/smw-map
sd-concepts-library/society-finch
sd-concepts-library/sorami-style
sd-concepts-library/spider-gwen
sd-concepts-library/spritual-monsters
sd-concepts-library/stable-diffusion-conceptualizer
sd-concepts-library/star-tours-posters
sd-concepts-library/stardew-valley-pixel-art
sd-concepts-library/starhavenmachinegods
sd-concepts-library/sterling-archer
sd-concepts-library/stretch-re1-robot
sd-concepts-library/stuffed-penguin-toy
sd-concepts-library/style-of-marc-allante
sd-concepts-library/summie-style
sd-concepts-library/sunfish
sd-concepts-library/super-nintendo-cartridge
sd-concepts-library/supitcha-mask
sd-concepts-library/sushi-pixel
sd-concepts-library/swamp-choe-2
sd-concepts-library/t-skrang
sd-concepts-library/takuji-kawano
sd-concepts-library/tamiyo
sd-concepts-library/tangles
sd-concepts-library/tb303
sd-concepts-library/tcirle
sd-concepts-library/teelip-ir-landscape
sd-concepts-library/teferi
sd-concepts-library/tela-lenca
sd-concepts-library/tela-lenca2
sd-concepts-library/terraria-style
sd-concepts-library/tesla-bot
sd-concepts-library/test
sd-concepts-library/test-epson
sd-concepts-library/test2
sd-concepts-library/testing
sd-concepts-library/thalasin
sd-concepts-library/thegeneral
sd-concepts-library/thorneworks
sd-concepts-library/threestooges
sd-concepts-library/thunderdome-cover
sd-concepts-library/thunderdome-covers
sd-concepts-library/ti-junglepunk-v0
sd-concepts-library/tili-concept
sd-concepts-library/titan-robot
sd-concepts-library/tnj
sd-concepts-library/toho-pixel
sd-concepts-library/tomcat
sd-concepts-library/tonal1
sd-concepts-library/tony-diterlizzi-s-planescape-art
sd-concepts-library/towerplace
sd-concepts-library/toy
sd-concepts-library/toy-bonnie-plush
sd-concepts-library/toyota-sera
sd-concepts-library/transmutation-circles
sd-concepts-library/trash-polka-artstyle
sd-concepts-library/travis-bedel
sd-concepts-library/trigger-studio
sd-concepts-library/trust-support
sd-concepts-library/trypophobia
sd-concepts-library/ttte
sd-concepts-library/tubby
sd-concepts-library/tubby-cats
sd-concepts-library/tudisco
sd-concepts-library/turtlepics
sd-concepts-library/type
sd-concepts-library/ugly-sonic
sd-concepts-library/uliana-kudinova
sd-concepts-library/uma
sd-concepts-library/uma-clean-object
sd-concepts-library/uma-meme
sd-concepts-library/uma-meme-style
sd-concepts-library/uma-style-classic
sd-concepts-library/unfinished-building
sd-concepts-library/urivoldemort
sd-concepts-library/uzumaki
sd-concepts-library/valorantstyle
sd-concepts-library/vb-mox
sd-concepts-library/vcr-classique
sd-concepts-library/venice
sd-concepts-library/vespertine
sd-concepts-library/victor-narm
sd-concepts-library/vietstoneking
sd-concepts-library/vivien-reid
sd-concepts-library/vkuoo1
sd-concepts-library/vraska
sd-concepts-library/w3u
sd-concepts-library/walter-wick-photography
sd-concepts-library/warhammer-40k-drawing-style
sd-concepts-library/waterfallshadow
sd-concepts-library/wayne-reynolds-character
sd-concepts-library/wedding
sd-concepts-library/wedding-HandPainted
sd-concepts-library/werebloops
sd-concepts-library/wheatland
sd-concepts-library/wheatland-arknight
sd-concepts-library/wheelchair
sd-concepts-library/wildkat
sd-concepts-library/willy-hd
sd-concepts-library/wire-angels
sd-concepts-library/wish-artist-stile
sd-concepts-library/wlop-style
sd-concepts-library/wojak
sd-concepts-library/wojaks-now
sd-concepts-library/wojaks-now-now-now
sd-concepts-library/xatu
sd-concepts-library/xatu2
sd-concepts-library/xbh
sd-concepts-library/xi
sd-concepts-library/xidiversity
sd-concepts-library/xioboma
sd-concepts-library/xuna
sd-concepts-library/xyz
sd-concepts-library/yb-anime
sd-concepts-library/yerba-mate
sd-concepts-library/yesdelete
sd-concepts-library/yf21
sd-concepts-library/yilanov2
sd-concepts-library/yinit
sd-concepts-library/yoji-shinkawa-style
sd-concepts-library/yolandi-visser
sd-concepts-library/yoshi
sd-concepts-library/youpi2
sd-concepts-library/youtooz-candy
sd-concepts-library/yuji-himukai-style
sd-concepts-library/zaney
sd-concepts-library/zaneypixelz
sd-concepts-library/zdenek-art
sd-concepts-library/zero
sd-concepts-library/zero-bottle
sd-concepts-library/zero-suit-samus
sd-concepts-library/zillertal-can
sd-concepts-library/zizigooloo
sd-concepts-library/zk
sd-concepts-library/zoroark

2
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@ -136,7 +136,7 @@ mixture of both using any of the accepted command switch formats:
# InvokeAI initialization file # InvokeAI initialization file
# This is the InvokeAI initialization file, which contains command-line default values. # This is the InvokeAI initialization file, which contains command-line default values.
# Feel free to edit. If anything goes wrong, you can re-initialize this file by deleting # Feel free to edit. If anything goes wrong, you can re-initialize this file by deleting
# or renaming it and then running configure_invokeai.py again. # or renaming it and then running invokeai-configure again.
# The --root option below points to the folder in which InvokeAI stores its models, configs and outputs. # The --root option below points to the folder in which InvokeAI stores its models, configs and outputs.
--root="/Users/mauwii/invokeai" --root="/Users/mauwii/invokeai"

2
docs/features/CONCEPTS.md
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@ -51,7 +51,7 @@ You can also combine styles and concepts:
If you used an installer to install InvokeAI, you may have already set a HuggingFace token. If you used an installer to install InvokeAI, you may have already set a HuggingFace token.
If you skipped this step, you can: If you skipped this step, you can:
- run the InvokeAI configuration script again (if you used a manual installer): `scripts/configure_invokeai.py` - run the InvokeAI configuration script again (if you used a manual installer): `invokeai-configure`
- set one of the `HUGGINGFACE_TOKEN` or `HUGGING_FACE_HUB_TOKEN` environment variables to contain your token - set one of the `HUGGINGFACE_TOKEN` or `HUGGING_FACE_HUB_TOKEN` environment variables to contain your token
Finally, if you already used any HuggingFace library on your computer, you might already have a token Finally, if you already used any HuggingFace library on your computer, you might already have a token

2
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@ -120,7 +120,7 @@ A number of caveats:
(`--iterations`) argument. (`--iterations`) argument.
3. Your results will be _much_ better if you use the `inpaint-1.5` model 3. Your results will be _much_ better if you use the `inpaint-1.5` model
released by runwayML and installed by default by `scripts/configure_invokeai.py`. released by runwayML and installed by default by `invokeai-configure`.
This model was trained specifically to harmoniously fill in image gaps. The This model was trained specifically to harmoniously fill in image gaps. The
standard model will work as well, but you may notice color discontinuities at standard model will work as well, but you may notice color discontinuities at
the border. the border.

6
docs/features/POSTPROCESS.md
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@ -28,11 +28,11 @@ should "just work" without further intervention. Simply pass the `--upscale`
the popup in the Web GUI. the popup in the Web GUI.
**GFPGAN** requires a series of downloadable model files to work. These are **GFPGAN** requires a series of downloadable model files to work. These are
loaded when you run `scripts/configure_invokeai.py`. If GFPAN is failing with an loaded when you run `invokeai-configure`. If GFPAN is failing with an
error, please run the following from the InvokeAI directory: error, please run the following from the InvokeAI directory:
```bash ```bash
python scripts/configure_invokeai.py invokeai-configure
``` ```
If you do not run this script in advance, the GFPGAN module will attempt to If you do not run this script in advance, the GFPGAN module will attempt to
@ -106,7 +106,7 @@ This repo also allows you to perform face restoration using
[CodeFormer](https://github.com/sczhou/CodeFormer). [CodeFormer](https://github.com/sczhou/CodeFormer).
In order to setup CodeFormer to work, you need to download the models like with In order to setup CodeFormer to work, you need to download the models like with
GFPGAN. You can do this either by running `configure_invokeai.py` or by manually GFPGAN. You can do this either by running `invokeai-configure` or by manually
downloading the downloading the
[model file](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth) [model file](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth)
and saving it to `ldm/invoke/restoration/codeformer/weights` folder. and saving it to `ldm/invoke/restoration/codeformer/weights` folder.

30
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@ -29,8 +29,9 @@ version of InvokeAI with the option to upgrade to experimental versions later.
2. Check that your system has an up-to-date Python installed. To do this, open 2. Check that your system has an up-to-date Python installed. To do this, open
up a command-line window ("Terminal" on Linux and Macintosh, "Command" or up a command-line window ("Terminal" on Linux and Macintosh, "Command" or
"Powershell" on Windows) and type `python --version`. If Python is "Powershell" on Windows) and type `python --version`. If Python is
installed, it will print out the version number. If it is version `3.9.1` or installed, it will print out the version number. If it is version `3.9.1` or `3.10.x`, you meet requirements.
higher, you meet requirements.
!!! warning "At this time we do not recommend Python 3.11"
!!! warning "If you see an older version, or get a command not found error" !!! warning "If you see an older version, or get a command not found error"
@ -39,7 +40,6 @@ version of InvokeAI with the option to upgrade to experimental versions later.
[Version 3.10.9](https://www.python.org/downloads/release/python-3109/), [Version 3.10.9](https://www.python.org/downloads/release/python-3109/),
which has been extensively tested with InvokeAI. which has been extensively tested with InvokeAI.
!!! warning "At this time we do not recommend Python 3.11"
_Please select your platform in the section below for platform-specific _Please select your platform in the section below for platform-specific
setup requirements._ setup requirements._
@ -108,12 +108,11 @@ version of InvokeAI with the option to upgrade to experimental versions later.
[latest release](https://github.com/invoke-ai/InvokeAI/releases/latest), and [latest release](https://github.com/invoke-ai/InvokeAI/releases/latest), and
look for a series of files named: look for a series of files named:
- InvokeAI-installer-2.X.X-mac.zip - InvokeAI-installer-2.X.X.zip
- InvokeAI-installer-2.X.X-windows.zip
- InvokeAI-installer-2.X.X-linux.zip
(Where 2.X.X is the current release number). (Where 2.X.X is the current release number).
Download the one that is appropriate for your operating system.
Download the latest release.
4. Unpack the zip file into a convenient directory. This will create a new 4. Unpack the zip file into a convenient directory. This will create a new
directory named "InvokeAI-Installer". This example shows how this would look directory named "InvokeAI-Installer". This example shows how this would look
@ -177,8 +176,7 @@ version of InvokeAI with the option to upgrade to experimental versions later.
minutes and nothing is happening, you can interrupt the script with ^C. You minutes and nothing is happening, you can interrupt the script with ^C. You
may restart it and it will pick up where it left off. may restart it and it will pick up where it left off.
10. After installation completes, the installer will launch a script called 10. After installation completes, the installer will launch the configuration script, which will guide you through the first-time process
`configure_invokeai.py`, which will guide you through the first-time process
of selecting one or more Stable Diffusion model weights files, downloading of selecting one or more Stable Diffusion model weights files, downloading
and configuring them. We provide a list of popular models that InvokeAI and configuring them. We provide a list of popular models that InvokeAI
performs well with. However, you can add more weight files later on using performs well with. However, you can add more weight files later on using
@ -227,7 +225,7 @@ version of InvokeAI with the option to upgrade to experimental versions later.
`invokeai\invokeai.init`. It contains a variety of examples that you can `invokeai\invokeai.init`. It contains a variety of examples that you can
follow to add and modify launch options. follow to add and modify launch options.
!!! warning "The `invokeai` directory contains the `invoke` application, its !!! warning "The `invokeai` directory contains the `invokeai` application, its
configuration files, the model weight files, and outputs of image generation. configuration files, the model weight files, and outputs of image generation.
Once InvokeAI is installed, do not move or remove this directory." Once InvokeAI is installed, do not move or remove this directory."
@ -253,18 +251,18 @@ will bring InvokeAI up to date with the latest libraries.
### Corrupted configuration file ### Corrupted configuration file
Everything seems to install ok, but `invoke` complains of a corrupted Everything seems to install ok, but `invokeai` complains of a corrupted
configuration file and goes back into the configuration process (asking you to configuration file and goes back into the configuration process (asking you to
download models, etc), but this doesn't fix the problem. download models, etc), but this doesn't fix the problem.
This issue is often caused by a misconfigured configuration directive in the This issue is often caused by a misconfigured configuration directive in the
`invokeai\invokeai.init` initialization file that contains startup settings. The `invokeai\invokeai.init` initialization file that contains startup settings. The
easiest way to fix the problem is to move the file out of the way and re-run easiest way to fix the problem is to move the file out of the way and re-run
`configure_invokeai.py`. Enter the developer's console (option 3 of the launcher `invokeai-configure`. Enter the developer's console (option 3 of the launcher
script) and run this command: script) and run this command:
```cmd ```cmd
configure_invokeai.py --root=. invokeai-configure --root=.
``` ```
Note the dot (.) after `--root`. It is part of the command. Note the dot (.) after `--root`. It is part of the command.
@ -289,15 +287,15 @@ hours, and often much sooner.
This distribution is changing rapidly, and we add new features on a daily basis. This distribution is changing rapidly, and we add new features on a daily basis.
To update to the latest released version (recommended), run the `update.sh` To update to the latest released version (recommended), run the `update.sh`
(Linux/Mac) or `update.bat` (Windows) scripts. This will fetch the latest (Linux/Mac) or `update.bat` (Windows) scripts. This will fetch the latest
release and re-run the `configure_invokeai` script to download any updated release and re-run the `invokeai-configure` script to download any updated
models files that may be needed. You can also use this to add additional models models files that may be needed. You can also use this to add additional models
that you did not select at installation time. that you did not select at installation time.
You can now close the developer console and run `invoke` as before. If you get You can now close the developer console and run `invoke` as before. If you get
complaints about missing models, then you may need to do the additional step of complaints about missing models, then you may need to do the additional step of
running `configure_invokeai.py`. This happens relatively infrequently. To do running `invokeai-configure`. This happens relatively infrequently. To do
this, simply open up the developer's console again and type this, simply open up the developer's console again and type
`python scripts/configure_invokeai.py`. `invokeai-configure`.
You may also use the `update` script to install any selected version of You may also use the `update` script to install any selected version of
InvokeAI. From https://github.com/invoke-ai/InvokeAI, navigate to the zip file InvokeAI. From https://github.com/invoke-ai/InvokeAI, navigate to the zip file

18
docs/installation/020_INSTALL_MANUAL.md
View File

@ -135,10 +135,10 @@ manager, please follow these steps:
default to `invokeai` in your home directory. default to `invokeai` in your home directory.
```bash ```bash
configure_invokeai --root_dir ~/Programs/invokeai invokeai-configure --root_dir ~/Programs/invokeai
``` ```
The script `configure_invokeai.py` will interactively guide you through the The script `invokeai-configure` will interactively guide you through the
process of downloading and installing the weights files needed for InvokeAI. process of downloading and installing the weights files needed for InvokeAI.
Note that the main Stable Diffusion weights file is protected by a license Note that the main Stable Diffusion weights file is protected by a license
agreement that you have to agree to. The script will list the steps you need agreement that you have to agree to. The script will list the steps you need
@ -149,10 +149,10 @@ manager, please follow these steps:
If you get an error message about a module not being installed, check that If you get an error message about a module not being installed, check that
the `invokeai` environment is active and if not, repeat step 5. the `invokeai` environment is active and if not, repeat step 5.
Note that `configure_invokeai.py` and `invoke.py` should be installed Note that `invokeai-configure` and `invoke.py` should be installed
under your virtual environment directory and the system should find them under your virtual environment directory and the system should find them
on the PATH. If this isn't working on your system, you can call the on the PATH. If this isn't working on your system, you can call the
scripts directory using `python scripts/configure_invokeai.py` and scripts directory using `python scripts/invokeai-configure` and
`python scripts/invoke.py`. `python scripts/invoke.py`.
!!! tip !!! tip
@ -353,10 +353,10 @@ manager, please follow these steps:
default to `invokeai` in your home directory. default to `invokeai` in your home directory.
```bash ```bash
python scripts/configure_invokeai.py --root_dir ~/Programs/invokeai python scripts/invokeai-configure --root_dir ~/Programs/invokeai
``` ```
The script `configure_invokeai.py` will interactively guide you through the The script `invokeai-configure` will interactively guide you through the
process of downloading and installing the weights files needed for InvokeAI. process of downloading and installing the weights files needed for InvokeAI.
Note that the main Stable Diffusion weights file is protected by a license Note that the main Stable Diffusion weights file is protected by a license
agreement that you have to agree to. The script will list the steps you need agreement that you have to agree to. The script will list the steps you need
@ -367,7 +367,7 @@ manager, please follow these steps:
If you get an error message about a module not being installed, check that If you get an error message about a module not being installed, check that
the `invokeai` environment is active and if not, repeat step 5. the `invokeai` environment is active and if not, repeat step 5.
Note that `configure_invokeai.py` and `invoke.py` should be Note that `invokeai-configure` and `invoke.py` should be
installed under your conda directory and the system should find installed under your conda directory and the system should find
them automatically on the PATH. If this isn't working on your them automatically on the PATH. If this isn't working on your
system, you can call the scripts directory using `python system, you can call the scripts directory using `python
@ -468,7 +468,7 @@ greatest version, launch the Anaconda window, enter `InvokeAI` and type:
```bash ```bash
git pull git pull
conda env update conda env update
python scripts/configure_invokeai.py --skip-sd-weights #optional python scripts/invokeai-configure --skip-sd-weights #optional
``` ```
This will bring your local copy into sync with the remote one. The last step may This will bring your local copy into sync with the remote one. The last step may
@ -518,7 +518,7 @@ brew install llvm
If brew config has Clang installed, update to the latest llvm and try creating the environment again. If brew config has Clang installed, update to the latest llvm and try creating the environment again.
#### `configure_invokeai.py` or `invoke.py` crashes at an early stage #### `invokeai-configure` or `invoke.py` crashes at an early stage
This is usually due to an incomplete or corrupted Conda install. Make sure you This is usually due to an incomplete or corrupted Conda install. Make sure you
have linked to the correct environment file and run `conda update` again. have linked to the correct environment file and run `conda update` again.

10
docs/installation/050_INSTALLING_MODELS.md
View File

@ -56,7 +56,7 @@ unofficial Stable Diffusion models and where they can be obtained.
There are three ways to install weights files: There are three ways to install weights files:
1. During InvokeAI installation, the `configure_invokeai.py` script can download 1. During InvokeAI installation, the `invokeai-configure` script can download
them for you. them for you.
2. You can use the command-line interface (CLI) to import, configure and modify 2. You can use the command-line interface (CLI) to import, configure and modify
@ -65,13 +65,13 @@ There are three ways to install weights files:
3. You can download the files manually and add the appropriate entries to 3. You can download the files manually and add the appropriate entries to
`models.yaml`. `models.yaml`.
### Installation via `configure_invokeai.py` ### Installation via `invokeai-configure`
This is the most automatic way. Run `scripts/configure_invokeai.py` from the This is the most automatic way. Run `invokeai-configure` from the
console. It will ask you to select which models to download and lead you through console. It will ask you to select which models to download and lead you through
the steps of setting up a Hugging Face account if you haven't done so already. the steps of setting up a Hugging Face account if you haven't done so already.
To start, run `python scripts/configure_invokeai.py` from within the InvokeAI: To start, run `invokeai-configure` from within the InvokeAI:
directory directory
!!! example "" !!! example ""
@ -244,7 +244,7 @@ arabian-nights-1.0:
| arabian-nights-1.0 | This is the name of the model that you will refer to from within the CLI and the WebGUI when you need to load and use the model. | | arabian-nights-1.0 | This is the name of the model that you will refer to from within the CLI and the WebGUI when you need to load and use the model. |
| description | Any description that you want to add to the model to remind you what it is. | | description | Any description that you want to add to the model to remind you what it is. |
| weights | Relative path to the .ckpt weights file for this model. | | weights | Relative path to the .ckpt weights file for this model. |
| config | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `configure_invokeai.py` script. | | config | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `invokeai-configure` script. |
| vae | If you want to add a VAE file to the model, then enter its path here. | | vae | If you want to add a VAE file to the model, then enter its path here. |
| width, height | This is the width and height of the images used to train the model. Currently they are always 512 and 512. | | width, height | This is the width and height of the images used to train the model. Currently they are always 512 and 512. |

1
environments-and-requirements/requirements-base.txt
View File

@ -24,6 +24,7 @@ opencv-python
picklescan picklescan
pillow pillow
pip>=22 pip>=22
prompt-toolkit
pudb pudb
pyreadline3 pyreadline3
pytorch-lightning==1.7.7 pytorch-lightning==1.7.7

48
frontend/dist/assets/index-legacy-35973932.js vendored
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File diff suppressed because one or more lines are too long

625
frontend/dist/assets/index.5c5bc3f1.js vendored
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File diff suppressed because one or more lines are too long

0
backend/__init__.py → installer/__init__.py
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64
installer/create_installer.sh Normal file → Executable file
View File

@ -1,7 +1,16 @@
#!/bin/bash #!/bin/bash
set -e
cd "$(dirname "$0")" cd "$(dirname "$0")"
if [[ -v "VIRTUAL_ENV" ]]; then
# we can't just call 'deactivate' because this function is not exported
# to the environment of this script from the bash process that runs the script
echo "A virtual environment is activated. Please deactivate it before proceeding".
exit -1
fi
VERSION=$(cd ..; python -c "from ldm.invoke import __version__ as version; print(version)") VERSION=$(cd ..; python -c "from ldm.invoke import __version__ as version; print(version)")
PATCH="" PATCH=""
VERSION="v${VERSION}${PATCH}" VERSION="v${VERSION}${PATCH}"
@ -23,38 +32,48 @@ if [ "$RESPONSE" == 'y' ]; then
git tag -fa latest git tag -fa latest
fi fi
# ----------------------
echo Building the wheel
# install the 'build' package in the user site packages, if needed
# could be improved by using a temporary venv, but it's tiny and harmless
if [[ $(python -c 'from importlib.util import find_spec; print(find_spec("build") is None)') == "True" ]]; then
pip install --user build
fi
python -m build --wheel --outdir dist/ ../.
# ----------------------
echo Building installer zip fles for InvokeAI $VERSION echo Building installer zip fles for InvokeAI $VERSION
# get rid of any old ones # get rid of any old ones
rm *.zip rm -f *.zip
rm -rf InvokeAI-Installer rm -rf InvokeAI-Installer
# copy content
mkdir InvokeAI-Installer mkdir InvokeAI-Installer
for f in templates *.py *.txt *.reg; do
cp -r ${f} InvokeAI-Installer/
done
cp -pr ../environments-and-requirements templates readme.txt InvokeAI-Installer/ # Move the wheel
mkdir InvokeAI-Installer/templates/rootdir mv dist/*.whl InvokeAI-Installer/
cp -pr ../configs InvokeAI-Installer/templates/rootdir/ # Install scripts
# Mac/Linux
cp install.sh.in InvokeAI-Installer/install.sh
chmod a+x InvokeAI-Installer/install.sh
mkdir InvokeAI-Installer/templates/rootdir/{outputs,embeddings,models} # Windows
perl -p -e "s/^INVOKEAI_VERSION=.*/INVOKEAI_VERSION=\"$VERSION\"/" install.sh.in > InvokeAI-Installer/install.sh
chmod a+rx InvokeAI-Installer/install.sh
zip -r InvokeAI-installer-$VERSION-linux.zip InvokeAI-Installer
zip -r InvokeAI-installer-$VERSION-mac.zip InvokeAI-Installer
# now do the windows installer
rm InvokeAI-Installer/install.sh
perl -p -e "s/^set INVOKEAI_VERSION=.*/set INVOKEAI_VERSION=$VERSION/" install.bat.in > InvokeAI-Installer/install.bat perl -p -e "s/^set INVOKEAI_VERSION=.*/set INVOKEAI_VERSION=$VERSION/" install.bat.in > InvokeAI-Installer/install.bat
cp WinLongPathsEnabled.reg InvokeAI-Installer/ cp WinLongPathsEnabled.reg InvokeAI-Installer/
# this gets rid of the "-e ." at the end of the windows requirements file # Zip everything up
# because it is easier to do it now than in the .bat install script zip -r InvokeAI-installer-$VERSION.zip InvokeAI-Installer
egrep -v '^-e .' InvokeAI-Installer/environments-and-requirements/requirements-win-colab-cuda.txt > InvokeAI-Installer/requirements.txt
cp InvokeAI-Installer/requirements.txt InvokeAI-Installer/environments-and-requirements/requirements-win-colab-cuda.txt
zip -r InvokeAI-installer-$VERSION-windows.zip InvokeAI-Installer
# Updater
mkdir tmp mkdir tmp
cp templates/update.sh.in tmp/update.sh cp templates/update.sh.in tmp/update.sh
cp templates/update.bat.in tmp/update.bat cp templates/update.bat.in tmp/update.bat
@ -66,9 +85,6 @@ cd ..
mv tmp/InvokeAI-updater-$VERSION.zip . mv tmp/InvokeAI-updater-$VERSION.zip .
# clean up # clean up
rm -rf InvokeAI-Installer tmp rm -rf InvokeAI-Installer tmp dist
exit 0 exit 0

112
installer/install.bat.in
View File

@ -16,7 +16,6 @@ if "%1" == "use-cache" (
@rem The version in the next line is replaced by an up to date release number @rem The version in the next line is replaced by an up to date release number
@rem when create_installer.sh is run. Change the release number there. @rem when create_installer.sh is run. Change the release number there.
set INVOKEAI_VERSION=latest set INVOKEAI_VERSION=latest
set INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/%INVOKEAI_VERSION%.zip
set INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/ set INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
set TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting set TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting
set PYTHON_URL=https://www.python.org/downloads/windows/ set PYTHON_URL=https://www.python.org/downloads/windows/
@ -29,7 +28,8 @@ set err_msg=An error has occurred and the script could not continue.
echo This script will install InvokeAI and its dependencies. echo This script will install InvokeAI and its dependencies.
echo. echo.
echo BEFORE YOU START PLEASE MAKE SURE TO DO THE FOLLOWING echo BEFORE YOU START PLEASE MAKE SURE TO DO THE FOLLOWING
echo 1. Install python 3.9 or higher. echo 1. Install python 3.9 or 3.10. Python version 3.11 and above are
echo not supported at the moment.
echo 2. Double-click on the file WinLongPathsEnabled.reg in order to echo 2. Double-click on the file WinLongPathsEnabled.reg in order to
echo enable long path support on your system. echo enable long path support on your system.
echo 3. Install the Visual C++ core libraries. echo 3. Install the Visual C++ core libraries.
@ -45,7 +45,7 @@ echo ***** Checking and Updating Python *****
call python --version >.tmp1 2>.tmp2 call python --version >.tmp1 2>.tmp2
if %errorlevel% == 1 ( if %errorlevel% == 1 (
set err_msg=Please install Python 3.9 or higher. See %INSTRUCTIONS% for details. set err_msg=Please install Python 3.10. See %INSTRUCTIONS% for details.
goto err_exit goto err_exit
) )
@ -64,111 +64,10 @@ if %errorlevel% == 1 (
@rem Cleanup @rem Cleanup
del /q .tmp1 .tmp2 del /q .tmp1 .tmp2
@rem --------------------- Get the requirements file ------------ @rem -------------- Install and Configure ---------------
echo.
echo Setting up requirements file for your system.
copy /y environments-and-requirements\requirements-win-colab-cuda.txt .\requirements.txt
@rem --------------------- Get the root directory for installation ------------ call python main.py
set "rootdir="
set "response="
set "selection="
:pick_rootdir
if defined rootdir goto :done
set /p selection=Select the path to install InvokeAI's directory into [%UserProfile%]:
if not defined selection set selection=%UserProfile%
set selection=%selection:"=%
call :Trim selection !selection!
set dest="%selection%\invokeai"
if exist %dest% (
set response=y
set /p response=The directory %dest% exists. Do you wish to resume install from a previous attempt? [Y/n]:
if !response! == "" set response=y
if /I !response! == y (set rootdir=%dest%) else (goto :pick_rootdir)
) else (
set rootdir=!dest!
)
set response=y
set /p response="You have chosen to install InvokeAI into %rootdir%. OK? [Y/n]: "
if !response! == "" set response=y
if /I !response! neq y set "rootdir="
goto :pick_rootdir
:done
set rootdir=%rootdir:"=%
@rem ---------------------- Initialize the runtime directory ---------------------
echo.
echo *** Creating Runtime Directory %rootdir% ***
if not exist "%rootdir%" mkdir "%rootdir%"
@rem for unknown reasons the mkdir works but returns an error code
if not exist "%rootdir%" (
set err_msg=Could not create the directory %rootdir%. Please check the directory's permissions and try again.
goto :err_exit
)
echo Successful.
@rem --------------------------- Create and populate .venv ---------------------------
echo.
echo ** Creating Virtual Environment for InvokeAI **
call python -mvenv "%rootdir%\.venv"
if %errorlevel% neq 0 (
set err_msg=Could not create virtual environment %rootdir%\.venv. Please check the directory's permissions and try again.
goto :err_exit
)
echo Successful.
echo.
echo *** Installing InvokeAI Requirements ***
echo Activating environment
call "%rootdir%\.venv\Scripts\activate.bat"
set PYTHON=%rootdir%\.venv\Scripts\python
echo updating pip with "%PYTHON%"
call "%PYTHON%" -mensurepip --upgrade
call "%PYTHON%" -mpip install --prefer-binary -r requirements.txt
if %errorlevel% neq 0 (
set err_msg=Requirements installation failed. See above for errors and check %TROUBLESHOOTING% for potential solutions.
goto :err_exit
)
echo Installation successful.
echo.
echo *** Installing InvokeAI Modules and Executables ***
call "%PYTHON%" -mpip install %INVOKE_AI_SRC%
if %errorlevel% neq 0 (
set err_msg=Installation of InvokeAI failed. See above for errors and check %TROUBLESHOOTING% for potential solutions.
goto :err_exit
)
echo Installation successful.
@rem --------------------------- Set up the root directory ---------------------------
xcopy /E /Y .\templates\rootdir "%rootdir%"
PUSHD "%rootdir%"
call "%PYTHON%" .venv\Scripts\configure_invokeai.py "--root=%rootdir%"
if %errorlevel% neq 0 (
set err_msg=Configuration failed. See above for error messages and check %TROUBLESHOOTING% for potential solutions.
goto :err_exit
)
POPD
copy .\templates\invoke.bat.in "%rootdir%\invoke.bat"
copy .\templates\update.bat.in "%rootdir%\update.bat"
@rem so that update.bat works
mkdir "%rootdir%\environments-and-requirements"
xcopy /I /Y .\environments-and-requirements "%rootdir%\environments-and-requirements"
copy .\requirements.txt "%rootdir%\requirements.txt"
echo.
echo ***** Finished configuration *****
echo All done. Execute the file %rootdir%\invoke.bat to start InvokeAI.
pause
deactivate
exit
@rem ------------------------ Subroutines --------------- @rem ------------------------ Subroutines ---------------
@rem routine to do comparison of semantic version numbers @rem routine to do comparison of semantic version numbers
@ -227,4 +126,3 @@ SetLocal EnableDelayedExpansion
set Params=%* set Params=%*
for /f "tokens=1*" %%a in ("!Params!") do EndLocal & set %1=%%b for /f "tokens=1*" %%a in ("!Params!") do EndLocal & set %1=%%b
exit /b exit /b

231
installer/install.sh.in
View File

@ -1,234 +1,7 @@
#!/usr/bin/env bash #!/bin/bash
# ensure we're in the correct folder in case user's CWD is somewhere else
scriptdir=$(dirname "$0")
cd "$scriptdir"
# This version number will be replaced by the one supplied to create_installers.sh.
# Do not change it here - change it in create_installers.sh.
INVOKEAI_VERSION="latest"
# make sure we are not already in a venv # make sure we are not already in a venv
# (don't need to check status) # (don't need to check status)
deactivate >/dev/null 2>&1 deactivate >/dev/null 2>&1
INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/${INVOKEAI_VERSION}.zip exec python3 $(dirname $0)/main.py ${@}
INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting
MINIMUM_PYTHON_VERSION=3.9.0
set -euo pipefail
IFS=$'\n\t'
function _err_exit {
if test "$1" -ne 0
then
echo -e "Error code $1; Error caught was '$2'"
if [ "$OS_NAME" == "osx" ]; then
echo "Something went wrong while installing InvokeAI and/or its requirements."
echo "You may need to use the Xcode command line tools to proceed. See step number 3 of"
echo "https://invoke-ai.github.io/InvokeAI/INSTALL_SOURCE#walk_through for"
echo "installation instructions and then run this script again."
else
echo "Something went wrong while installing InvokeAI and/or its requirements."
echo "See https://invoke-ai.github.io/InvokeAI/INSTALL_SOURCE#troubleshooting for troubleshooting"
echo "tips, or visit https://invoke-ai.github.io/InvokeAI/#installation for alternative"
echo "installation methods"
fi
read -p "Press any key to exit..."
exit
fi
}
function readinput() {
local CLEAN_ARGS=""
while [[ $# -gt 0 ]]; do
local i="$1"
case "$i" in
"-i")
if read -i "default" 2>/dev/null <<< "test"; then
CLEAN_ARGS="$CLEAN_ARGS -i \"$2\""
fi
shift
shift
;;
"-p")
CLEAN_ARGS="$CLEAN_ARGS -p \"$2\""
shift
shift
;;
*)
CLEAN_ARGS="$CLEAN_ARGS $1"
shift
;;
esac
done
eval read $CLEAN_ARGS
}
function version { echo "$@" | awk -F. '{ printf("%d%03d%03d%03d\n", $1,$2,$3,$4); }'; }
echo "InvokeAI simple installer..."
echo ""
echo "Some of the installation steps take a long time to run. Please be patient."
echo "If the script appears to hang for more than 10 minutes, please interrupt with control-C and retry."
read -n 1 -s -r -p "<Press any key to start the install>"
echo ""
OS_NAME=$(uname -s)
case "${OS_NAME}" in
Linux*) OS_NAME="linux";;
Darwin*) OS_NAME="osx";;
*) echo "Unknown OS: $OS_NAME! This script runs only on Linux or Mac" && exit
esac
OS_ARCH=$(uname -m)
case "${OS_ARCH}" in
x86_64*) OS_ARCH="64";;
arm64*) OS_ARCH="arm64";;
*) echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit
esac
echo "Installing for $OS_NAME-$OS_ARCH"
# confirm that python is installed and is up to date
PYTHON=""
for candidate in python3.10 python3.9 python3 python python3.11 ; do
if ppath=`which $candidate`; then
python_version=$($ppath -V | awk '{ print $2 }')
if [ $(version $python_version) -ge $(version "$MINIMUM_PYTHON_VERSION") ]; then
PYTHON=$ppath
echo Python $python_version found at $PYTHON
break
fi
fi
done
if [ -z "$PYTHON" ]; then
echo "A suitable Python interpreter could not be found"
echo "Please install Python 3.9 or higher before running this script. See instructions at $INSTRUCTIONS for help."
read -p "Press any key to exit"
exit -1
fi
ROOTDIR=""
while [ "$ROOTDIR" == "" ]
do
echo
readinput -e -p "Select your preferred location for the 'invokeai' directory [$HOME]: " -i $HOME input
ROOTDIR=${input:=$HOME}/invokeai
# This is surprisingly hard to do in plain Bash; easier in ZSH. Just running python in subshell is easiest.
ROOTDIR=$($PYTHON -c "from pathlib import Path; print(Path('${ROOTDIR}').expanduser().resolve())")
read -e -p "InvokeAI will be installed into $ROOTDIR. OK? [y]: " input
RESPONSE=${input:='y'}
if [ "$RESPONSE" == 'y' ]; then
if [ -e "$ROOTDIR" ]; then
echo
read -e -p "Directory "$ROOTDIR" already exists. Do you want to resume an interrupted install? [y]: " input
RESPONSE=${input:='y'}
if [ "$RESPONSE" != 'y' ]; then
ROOTDIR=""
fi
else
mkdir -p "$ROOTDIR"
if [ $? -ne 0 ]; then
echo "Could not create "$ROOTDIR". Try again with a different install location."
ROOTDIR=""
fi
fi
else
ROOTDIR=""
fi
done
#--------------------------------------------------------------------------------
echo
echo "** Creating Virtual Environment for InvokeAI **"
$PYTHON -mvenv "$ROOTDIR"/.venv
_err_exit $? "Python failed to create virtual environment "$ROOTDIR"/.venv. Please see $TROUBLESHOOTING for help."
#--------------------------------------------------------------------------------
echo
echo "** Activating Virtual Environment for InvokeAI **"
source "$ROOTDIR"/.venv/bin/activate
_err_exit $? "Failed to activate virtual evironment "$ROOTDIR"/.venv. Please see $TROUBLESHOOTING for help."
PYTHON="$ROOTDIR"/.venv/bin/python
$PYTHON -mensurepip --upgrade
$PYTHON -mpip install --upgrade pip
#--------------------------------------------------------------------------------
echo
echo "*** Installing InvokeAI Dependencies ***"
if [ "$OS_NAME" == "osx" ]; then
echo "macOS detected. Installing MPS and CPU support."
egrep -v '^-e .' environments-and-requirements/requirements-mac-mps-cpu.txt >requirements.txt
else
if (lsmod | grep amdgpu) &>/dev/null ; then
readinput -e -p "Linux system with AMD GPU driver detected. Install ROCm AMD accelerated support? (Otherwise, CUDA support will be installed) [n]: " input
RESPONSE=${input:='n'}
if [ "$RESPONSE" != "n" ]; then
echo "Installing ROCm (AMD) support"
egrep -v '^-e .' environments-and-requirements/requirements-lin-amd.txt >requirements.txt
else
echo "Installing CUDA support"
egrep -v '^-e .' environments-and-requirements/requirements-lin-cuda.txt >requirements.txt
fi
else
echo "Linux system detected. Installing CUDA and CPU support."
egrep -v '^-e .' environments-and-requirements/requirements-lin-cuda.txt >requirements.txt
fi
fi
$PYTHON -mpip install --prefer-binary -r requirements.txt
_err_exit $? "Failed to install InvokeAI's dependencies."
#--------------------------------------------------------------------------------
echo
echo "*** Installing InvokeAI Modules and Executables ***"
$PYTHON -mpip install $INVOKE_AI_SRC
_err_exit $? "Installation of InvokeAI failed."
#--------------------------------------------------------------------------------
echo " *** Setting Up Root Directory "$ROOTDIR" *** "
cp -pr templates/rootdir/* "$ROOTDIR"/
cp templates/invoke.sh.in "$ROOTDIR"/invoke.sh
chmod a+rx "$ROOTDIR"/invoke.sh
cp templates/update.sh.in "$ROOTDIR"/update.sh
chmod a+rx "$ROOTDIR"/update.sh
# This allows the updater to work!
cp -pr environments-and-requirements requirements.txt "$ROOTDIR/"
#--------------------------------------------------------------------------------
echo
echo "*** Confguring InvokeAI ***"
pushd "$ROOTDIR" >/dev/null
$PYTHON ./.venv/bin/configure_invokeai.py --root="$ROOTDIR"
_err_exit $? "Initial configuration failed. Please see above error messages and $TROUBLESHOOTING for help."
#--------------------------------------------------------------------------------
popd
cp templates/invoke.sh.in "$ROOTDIR"/invoke.sh
chmod a+rx "$ROOTDIR"/invoke.sh
cp templates/update.sh.in "$ROOTDIR"/update.sh
chmod a+rx "$ROOTDIR"/update.sh
echo "You may now run InvokeAI by entering the directory $ROOTDIR and running invoke.sh:"
echo
echo " ${ROOTDIR}/invoke.sh"
echo
read -e -p "Run InvokeAI now? [y]:" input
RESPONSE=${input:='y'}
if [ "$RESPONSE" == 'y' ]; then
exec ${ROOTDIR}/invoke.sh
fi

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# Copyright (c) 2023 Eugene Brodsky (https://github.com/ebr)
"""
InvokeAI installer script
"""
import os
import platform
import shutil
import subprocess
import sys
import venv
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Union
SUPPORTED_PYTHON = ">=3.9.0,<3.11"
INSTALLER_REQS = ["rich", "semver", "requests", "plumbum", "prompt-toolkit"]
BOOTSTRAP_VENV_PREFIX = "invokeai-installer-tmp"
OS = platform.uname().system
ARCH = platform.uname().machine
VERSION = "latest"
### Feature flags
# Install the virtualenv into the runtime dir
FF_VENV_IN_RUNTIME = True
# Install the wheel packaged with the installer
FF_USE_LOCAL_WHEEL = True
class Installer:
"""
Deploys an InvokeAI installation into a given path
"""
def __init__(self) -> None:
self.reqs = INSTALLER_REQS
self.preflight()
if os.getenv("VIRTUAL_ENV") is not None:
raise NotImplementedError("A virtual environment is already activated. Please 'deactivate' before installation.")
self.bootstrap()
def preflight(self) -> None:
"""
Preflight checks
"""
# TODO
# verify python version
# on macOS verify XCode tools are present
# verify libmesa, libglx on linux
# check that the system arch is not i386 (?)
# check that the system has a GPU, and the type of GPU
pass
def mktemp_venv(self) -> TemporaryDirectory:
"""
Creates a temporary virtual environment for the installer itself
:return: path to the created virtual environment directory
:rtype: TemporaryDirectory
"""
# Cleaning up temporary directories on Windows results in a race condition
# and a stack trace.
# `ignore_cleanup_errors` was only added in Python 3.10
# users of Python 3.9 will see a gnarly stack trace on installer exit
if OS == "Windows" and int(platform.python_version_tuple()[1]) >= 10:
venv_dir = TemporaryDirectory(prefix=BOOTSTRAP_VENV_PREFIX, ignore_cleanup_errors=True)
else:
venv_dir = TemporaryDirectory(prefix=BOOTSTRAP_VENV_PREFIX)
venv.create(venv_dir.name, with_pip=True)
self.venv_dir = venv_dir
set_sys_path(Path(venv_dir.name))
return venv_dir
def bootstrap(self, verbose: bool = False) -> TemporaryDirectory:
"""
Bootstrap the installer venv with packages required at install time
:return: path to the virtual environment directory that was bootstrapped
:rtype: TemporaryDirectory
"""
print("Initializing the installer. This may take a minute - please wait...")
venv_dir = self.mktemp_venv()
pip = get_pip_from_venv(Path(venv_dir.name))
cmd = [pip, "install", "--require-virtualenv", "--use-pep517"]
cmd.extend(self.reqs)
try:
res = subprocess.check_output(cmd).decode()
if verbose:
print(res)
return venv_dir
except subprocess.CalledProcessError as e:
print(e)
def app_venv(self, path: str = None):
"""
Create a virtualenv for the InvokeAI installation
"""
# explicit venv location
# currently unused in normal operation
# useful for testing or special cases
if path is not None:
venv_dir = Path(path)
# experimental / testing
elif not FF_VENV_IN_RUNTIME:
if OS == "Windows":
venv_dir_parent = os.getenv("APPDATA", "~/AppData/Roaming")
elif OS == "Darwin":
# there is no environment variable on macOS to find this
# TODO: confirm this is working as expected
venv_dir_parent = "~/Library/Application Support"
elif OS == "Linux":
venv_dir_parent = os.getenv("XDG_DATA_DIR", "~/.local/share")
venv_dir = Path(venv_dir_parent).expanduser().resolve() / f"InvokeAI/{VERSION}/venv"
# stable / current
else:
venv_dir = self.dest / ".venv"
venv.create(venv_dir, with_pip=True)
# upgrade pip in Python 3.9 environments
if int(platform.python_version_tuple()[1]) == 9:
from plumbum import FG, local
pip = local[get_pip_from_venv(venv_dir)]
pip[ "install", "--upgrade", "pip"] & FG
return venv_dir
def install(self, root: str = "~/invokeai", version: str = "latest", yes_to_all=False, find_links: Path = None) -> None:
"""
Install the InvokeAI application into the given runtime path
:param root: Destination path for the installation
:type root: str
:param version: InvokeAI version to install
:type version: str
:param yes: Accept defaults to all questions
:type yes: bool
:param find_links: A local directory to search for requirement wheels before going to remote indexes
:type find_links: Path
"""
import messages
messages.welcome()
self.dest = Path(root).expanduser().resolve() if yes_to_all else messages.dest_path(root)
# create the venv for the app
self.venv = self.app_venv()
self.instance = InvokeAiInstance(runtime=self.dest, venv=self.venv, version=version)
# install dependencies and the InvokeAI application
(extra_index_url,optional_modules) = get_torch_source() if not yes_to_all else (None,None)
self.instance.install(
extra_index_url,
optional_modules,
find_links,
)
# install the launch/update scripts into the runtime directory
self.instance.install_user_scripts()
# run through the configuration flow
self.instance.configure()
class InvokeAiInstance:
"""
Manages an installed instance of InvokeAI, comprising a virtual environment and a runtime directory.
The virtual environment *may* reside within the runtime directory.
A single runtime directory *may* be shared by multiple virtual environments, though this isn't currently tested or supported.
"""
def __init__(self, runtime: Path, venv: Path, version: str) -> None:
self.runtime = runtime
self.venv = venv
self.pip = get_pip_from_venv(venv)
self.version = version
set_sys_path(venv)
os.environ["INVOKEAI_ROOT"] = str(self.runtime.expanduser().resolve())
os.environ["VIRTUAL_ENV"] = str(self.venv.expanduser().resolve())
def get(self) -> tuple[Path, Path]:
"""
Get the location of the virtualenv directory for this installation
:return: Paths of the runtime and the venv directory
:rtype: tuple[Path, Path]
"""
return (self.runtime, self.venv)
def install(self, extra_index_url=None, optional_modules=None, find_links=None):
"""
Install this instance, including dependencies and the app itself
:param extra_index_url: the "--extra-index-url ..." line for pip to look in extra indexes.
:type extra_index_url: str
"""
import messages
# install torch first to ensure the correct version gets installed.
# works with either source or wheel install with negligible impact on installation times.
messages.simple_banner("Installing PyTorch :fire:")
self.install_torch(extra_index_url, find_links)
messages.simple_banner("Installing the InvokeAI Application :art:")
self.install_app(extra_index_url, optional_modules, find_links)
def install_torch(self, extra_index_url=None, find_links=None):
"""
Install PyTorch
"""
from plumbum import FG, local
pip = local[self.pip]
(
pip[
"install",
"--require-virtualenv",
"torch",
"torchvision",
"--find-links" if find_links is not None else None,
find_links,
"--extra-index-url" if extra_index_url is not None else None,
extra_index_url,
]
& FG
)
def install_app(self, extra_index_url=None, optional_modules=None, find_links=None):
"""
Install the application with pip.
Supports installation from PyPi or from a local source directory.
:param extra_index_url: the "--extra-index-url ..." line for pip to look in extra indexes.
:type extra_index_url: str
:param optional_modules: optional modules to install using "[module1,module2]" format.
:type optional_modules: str
:param find_links: path to a directory containing wheels to be searched prior to going to the internet
:type find_links: Path
"""
## this only applies to pypi installs; TODO actually use this
if self.version == "pre":
version = None
pre = "--pre"
else:
version = self.version
pre = None
## TODO: only local wheel will be installed as of now; support for --version arg is TODO
if FF_USE_LOCAL_WHEEL:
# if no wheel, try to do a source install before giving up
try:
src = str(next(Path.cwd().glob("InvokeAI-*.whl")))
except StopIteration:
try:
src = Path(__file__).parents[1].expanduser().resolve()
# if the above directory contains one of these files, we'll do a source install
next(src.glob("pyproject.toml"))
next(src.glob("ldm"))
except StopIteration:
print("Unable to find a wheel or perform a source install. Giving up.")
elif version == "source":
# this makes an assumption about the location of the installer package in the source tree
src = Path(__file__).parents[1].expanduser().resolve()
else:
# will install from PyPi
src = f"invokeai=={version}" if version is not None else "invokeai"
from plumbum import FG, local
pip = local[self.pip]
(
pip[
"install",
"--require-virtualenv",
"--use-pep517",
str(src)+(optional_modules if optional_modules else ''),
"--find-links" if find_links is not None else None,
find_links,
"--extra-index-url" if extra_index_url is not None else None,
extra_index_url,
pre,
]
& FG
)
def configure(self):
"""
Configure the InvokeAI runtime directory
"""
new_argv = [sys.argv[0]]
for i in range(1,len(sys.argv)):
el = sys.argv[i]
if el in ['-r','--root']:
new_argv.append(el)
new_argv.append(sys.argv[i+1])
elif el in ['-y','--yes','--yes-to-all']:
new_argv.append(el)
sys.argv = new_argv
from messages import introduction
introduction()
from ldm.invoke.config import configure_invokeai
# NOTE: currently the config script does its own arg parsing! this means the command-line switches
# from the installer will also automatically propagate down to the config script.
# this may change in the future with config refactoring!
# set sys.argv to a consistent state
configure_invokeai.main()
def install_user_scripts(self):
"""
Copy the launch and update scripts to the runtime dir
"""
ext = "bat" if OS == "Windows" else "sh"
for script in ["invoke", "update"]:
src = Path(__file__).parent / "templates" / f"{script}.{ext}.in"
dest = self.runtime / f"{script}.{ext}"
shutil.copy(src, dest)
os.chmod(dest, 0o0755)
def update(self):
pass
def remove(self):
pass
### Utility functions ###
def get_pip_from_venv(venv_path: Path) -> str:
"""
Given a path to a virtual environment, get the absolute path to the `pip` executable
in a cross-platform fashion. Does not validate that the pip executable
actually exists in the virtualenv.
:param venv_path: Path to the virtual environment
:type venv_path: Path
:return: Absolute path to the pip executable
:rtype: str
"""
pip = "Scripts\pip.exe" if OS == "Windows" else "bin/pip"
return str(venv_path.expanduser().resolve() / pip)
def set_sys_path(venv_path: Path) -> None:
"""
Given a path to a virtual environment, set the sys.path, in a cross-platform fashion,
such that packages from the given venv may be imported in the current process.
Ensure that the packages from system environment are not visible (emulate
the virtual env 'activate' script) - this doesn't work on Windows yet.
:param venv_path: Path to the virtual environment
:type venv_path: Path
"""
# filter out any paths in sys.path that may be system- or user-wide
# but leave the temporary bootstrap virtualenv as it contains packages we
# temporarily need at install time
sys.path = list(filter(
lambda p: not p.endswith("-packages")
or p.find(BOOTSTRAP_VENV_PREFIX) != -1,
sys.path
))
# determine site-packages/lib directory location for the venv
lib = "Lib" if OS == "Windows" else f"lib/python{sys.version_info.major}.{sys.version_info.minor}"
# add the site-packages location to the venv
sys.path.append(str(Path(venv_path, lib, "site-packages").expanduser().resolve()))
def get_torch_source() -> (Union[str, None],str):
"""
Determine the extra index URL for pip to use for torch installation.
This depends on the OS and the graphics accelerator in use.
This is only applicable to Windows and Linux, since PyTorch does not
offer accelerated builds for macOS.
Prefer CUDA-enabled wheels if the user wasn't sure of their GPU, as it will fallback to CPU if possible.
A NoneType return means just go to PyPi.
:return: tuple consisting of (extra index url or None, optional modules to load or None)
:rtype: list
"""
from messages import graphical_accelerator
# device can be one of: "cuda", "rocm", "cpu", "idk"
device = graphical_accelerator()
url = None
optional_modules = None
if OS == "Linux":
if device == "rocm":
url = "https://download.pytorch.org/whl/rocm5.2"
elif device == "cpu":
url = "https://download.pytorch.org/whl/cpu"
if device == 'cuda':
optional_modules = '[xformers]'
# in all other cases, Torch wheels should be coming from PyPi as of Torch 1.13
return (url, optional_modules)

54
installer/main.py Normal file
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@ -0,0 +1,54 @@
"""
InvokeAI Installer
"""
import argparse
from pathlib import Path
from installer import Installer
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"-r",
"--root",
dest="root",
type=str,
help="Destination path for installation",
default="~/invokeai",
)
parser.add_argument(
"-y",
"--yes",
"--yes-to-all",
dest="yes_to_all",
action="store_true",
help="Assume default answers to all questions",
default=False,
)
parser.add_argument(
"--version",
dest="version",
help="Version of InvokeAI to install. Default to the latest stable release. A special 'pre' value will install the latest published pre-release version.",
default=None,
)
parser.add_argument(
"--find-links",
dest="find_links",
help="Specifies a directory of local wheel files to be searched prior to searching the online repositories.",
type=Path,
default=None,
)
args = parser.parse_args()
inst = Installer()
try:
inst.install(**args.__dict__)
except KeyboardInterrupt as exc:
print("\n")
print("Ctrl-C pressed. Aborting.")
print("Come back soon!")

296
installer/messages.py Normal file
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@ -0,0 +1,296 @@
# Copyright (c) 2023 Eugene Brodsky (https://github.com/ebr)
"""
Installer user interaction
"""
import os
import platform
from pathlib import Path
from prompt_toolkit import prompt
from prompt_toolkit.completion import PathCompleter
from prompt_toolkit.shortcuts import CompleteStyle
from prompt_toolkit.validation import Validator
from rich import box, print
from rich.console import Console, Group
from rich.panel import Panel
from rich.prompt import Confirm
from rich.style import Style
from rich.syntax import Syntax
from rich.text import Text
"""
INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/${INVOKEAI_VERSION}.zip
INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting
"""
OS = platform.uname().system
ARCH = platform.uname().machine
if OS == "Windows":
# Windows terminals look better without a background colour
console = Console(style=Style(color="grey74"))
else:
console = Console(style=Style(color="grey74", bgcolor="grey19"))
def welcome():
console.rule()
print(
Panel(
title="[bold wheat1]Welcome to the InvokeAI Installer",
renderable=Text(
"Some of the installation steps take a long time to run. Please be patient. If the script appears to hang for more than 10 minutes, please interrupt with control-C and retry.",
justify="center",
),
box=box.DOUBLE,
width=80,
expand=False,
padding=(1, 2),
style=Style(bgcolor="grey23", color="orange1"),
subtitle=f"[bold grey39]{OS}-{ARCH}",
)
)
console.line()
def confirm_install(dest: Path) -> bool:
if dest.exists():
print(f":exclamation: Directory {dest} already exists :exclamation:")
dest_confirmed = Confirm.ask(
":stop_sign: Are you sure you want to (re)install in this location?",
default=False,
)
else:
print(f"InvokeAI will be installed in {dest}")
dest_confirmed = not Confirm.ask(f"Would you like to pick a different location?", default=False)
console.line()
return dest_confirmed
def dest_path(dest=None) -> Path:
"""
Prompt the user for the destination path and create the path
:param dest: a filesystem path, defaults to None
:type dest: str, optional
:return: absolute path to the created installation directory
:rtype: Path
"""
if dest is not None:
dest = Path(dest).expanduser().resolve()
else:
dest = Path.cwd().expanduser().resolve()
prev_dest = dest.expanduser().resolve()
dest_confirmed = confirm_install(dest)
while not dest_confirmed:
# if the given destination already exists, the starting point for browsing is its parent directory.
# the user may have made a typo, or otherwise wants to place the root dir next to an existing one.
# if the destination dir does NOT exist, then the user must have changed their mind about the selection.
# since we can't read their mind, start browsing at Path.cwd().
browse_start = (prev_dest.parent if prev_dest.exists() else Path.cwd()).expanduser().resolve()
path_completer = PathCompleter(
only_directories=True,
expanduser=True,
get_paths=lambda: [browse_start],
# get_paths=lambda: [".."].extend(list(browse_start.iterdir()))
)
console.line()
print(f"[orange3]Please select the destination directory for the installation:[/] \[{browse_start}]: ")
selected = prompt(
f">>> ",
complete_in_thread=True,
completer=path_completer,
default=str(browse_start) + os.sep,
vi_mode=True,
complete_while_typing=True
# Test that this is not needed on Windows
# complete_style=CompleteStyle.READLINE_LIKE,
)
prev_dest = dest
dest = Path(selected)
console.line()
dest_confirmed = confirm_install(dest.expanduser().resolve())
if not dest_confirmed:
dest = prev_dest
dest = dest.expanduser().resolve()
try:
dest.mkdir(exist_ok=True, parents=True)
return dest
except PermissionError as exc:
print(
f"Failed to create directory {dest} due to insufficient permissions",
style=Style(color="red"),
highlight=True,
)
except OSError as exc:
console.print_exception(exc)
if Confirm.ask("Would you like to try again?"):
dest_path(init_path)
else:
console.rule("Goodbye!")
def graphical_accelerator():
"""
Prompt the user to select the graphical accelerator in their system
This does not validate user's choices (yet), but only offers choices
valid for the platform.
CUDA is the fallback.
We may be able to detect the GPU driver by shelling out to `modprobe` or `lspci`,
but this is not yet supported or reliable. Also, some users may have exotic preferences.
"""
if ARCH == "arm64" and OS != "Darwin":
print(f"Only CPU acceleration is available on {ARCH} architecture. Proceeding with that.")
return "cpu"
nvidia = (
"an [gold1 b]NVIDIA[/] GPU (using CUDA™)",
"cuda",
)
amd = (
"an [gold1 b]AMD[/] GPU (using ROCm™)",
"rocm",
)
cpu = (
"no compatible GPU, or specifically prefer to use the CPU",
"cpu",
)
idk = (
"I'm not sure what to choose",
"idk",
)
if OS == "Windows":
options = [nvidia, cpu]
if OS == "Linux":
options = [nvidia, amd, cpu]
elif OS == "Darwin":
options = [cpu]
# future CoreML?
if len(options) == 1:
print(f'Your platform [gold1]{OS}-{ARCH}[/] only supports the "{options[0][1]}" driver. Proceeding with that.')
return options[0][1]
# "I don't know" is always added the last option
options.append(idk)
options = {str(i): opt for i, opt in enumerate(options, 1)}
console.rule(":space_invader: GPU (Graphics Card) selection :space_invader:")
console.print(
Panel(
Group(
"\n".join(
[
f"Detected the [gold1]{OS}-{ARCH}[/] platform",
"",
"See [steel_blue3]https://invoke-ai.github.io/InvokeAI/#system[/] to ensure your system meets the minimum requirements.",
"",
"[red3]🠶[/] [b]Your GPU drivers must be correctly installed before using InvokeAI![/] [red3]🠴[/]",
]
),
"",
"Please select the type of GPU installed in your computer.",
Panel(
"\n".join([f"[dark_goldenrod b i]{i}[/] [dark_red]🢒[/]{opt[0]}" for (i, opt) in options.items()]),
box=box.MINIMAL,
),
),
box=box.MINIMAL,
padding=(1, 1),
)
)
choice = prompt(
"Please make your selection: ",
validator=Validator.from_callable(
lambda n: n in options.keys(), error_message="Please select one the above options"
),
)
if options[choice][1] == "idk":
console.print(
"No problem. We will try to install a version that [i]should[/i] be compatible. :crossed_fingers:"
)
return options[choice][1]
def simple_banner(message: str) -> None:
"""
A simple banner with a message, defined here for styling consistency
:param message: The message to display
:type message: str
"""
console.rule(message)
# TODO this does not yet work correctly
def windows_long_paths_registry() -> None:
"""
Display a message about applying the Windows long paths registry fix
"""
with open(str(Path(__file__).parent / "WinLongPathsEnabled.reg"), "r", encoding="utf-16le") as code:
syntax = Syntax(code.read(), line_numbers=True)
console.print(
Panel(
Group(
"\n".join(
[
"We will now apply a registry fix to enable long paths on Windows. InvokeAI needs this to function correctly. We are asking your permission to modify the Windows Registry on your behalf.",
"",
"This is the change that will be applied:",
syntax,
]
)
),
title="Windows Long Paths registry fix",
box=box.HORIZONTALS,
padding=(1, 1),
)
)
def introduction() -> None:
"""
Display a banner when starting configuration of the InvokeAI application
"""
console.rule()
console.print(
Panel(
title=":art: Configuring InvokeAI :art:",
renderable=Group(
"",
"[b]This script will:",
"",
"1. Configure the InvokeAI application directory",
"2. Help download the Stable Diffusion weight files",
" and other large models that are needed for text to image generation",
"3. Create initial configuration files.",
"",
"[i]At any point you may interrupt this program and resume later.",
),
)
)
console.line(2)

4
installer/readme.txt
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@ -43,8 +43,8 @@ Launching the installer:
'./install.sh' (while keeping it inside the InvokeAI-Installer './install.sh' (while keeping it inside the InvokeAI-Installer
folder). folder).
The installer will create a directory named "invokeai" in the folder The installer will create a directory of your choice and install the
of your choice. This directory contains everything you need to run InvokeAI application within it. This directory contains everything you need to run
invokeai. Once InvokeAI is up and running, you may delete the invokeai. Once InvokeAI is up and running, you may delete the
InvokeAI-Installer folder at your convenience. InvokeAI-Installer folder at your convenience.

12
installer/templates/invoke.bat.in
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@ -17,19 +17,19 @@ set /P restore="Please enter 1, 2, 3, 4 or 5: [5] "
if not defined restore set restore=2 if not defined restore set restore=2
IF /I "%restore%" == "1" ( IF /I "%restore%" == "1" (
echo Starting the InvokeAI command-line.. echo Starting the InvokeAI command-line..
python .venv\Scripts\invoke %* python .venv\Scripts\invokeai.exe %*
) ELSE IF /I "%restore%" == "2" ( ) ELSE IF /I "%restore%" == "2" (
echo Starting the InvokeAI browser-based UI.. echo Starting the InvokeAI browser-based UI..
python .venv\Scripts\invoke --web %* python .venv\Scripts\invokeai.exe --web %*
) ELSE IF /I "%restore%" == "3" ( ) ELSE IF /I "%restore%" == "3" (
echo Starting textual inversion training.. echo Starting textual inversion training..
python .venv\Scripts\textual_inversion --gui %* python .venv\Scripts\invokeai-ti.exe --gui %*
) ELSE IF /I "%restore%" == "4" ( ) ELSE IF /I "%restore%" == "4" (
echo Starting model merging script.. echo Starting model merging script..
python .venv\Scripts\merge_models --gui %* python .venv\Scripts\invokeai-merge.exe --gui %*
) ELSE IF /I "%restore%" == "5" ( ) ELSE IF /I "%restore%" == "5" (
echo Running configure_invokeai.py... echo Running invokeai-configure...
python .venv\Scripts\configure_invokeai %* python .venv\Scripts\invokeai-configure.exe %*
) ELSE IF /I "%restore%" == "6" ( ) ELSE IF /I "%restore%" == "6" (
echo Developer Console echo Developer Console
echo Python command is: echo Python command is:

50
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@ -1,5 +1,14 @@
#!/bin/bash #!/bin/bash
####
# This launch script assumes that:
# 1. it is located in the runtime directory,
# 2. the .venv is also located in the runtime directory and is named exactly that
#
# If both of the above are not true, this script will likely not work as intended.
# Activate the virtual environment and run `invoke.py` directly.
####
set -eu set -eu
# ensure we're in the correct folder in case user's CWD is somewhere else # ensure we're in the correct folder in case user's CWD is somewhere else
@ -23,16 +32,41 @@ if [ "$0" != "bash" ]; then
echo "4. merge models (diffusers type only)" echo "4. merge models (diffusers type only)"
echo "5. open the developer console" echo "5. open the developer console"
echo "6. re-run the configure script to download new models" echo "6. re-run the configure script to download new models"
read -p "Please enter 1, 2, 3, 4 or 5: [1] " yn echo "7. command-line help "
echo ""
read -p "Please enter 1, 2, 3, 4, 5, 6 or 7: [2] " yn
choice=${yn:='2'} choice=${yn:='2'}
case $choice in case $choice in
1 ) printf "\nStarting the InvokeAI command-line..\n"; invoke $*;; 1)
2 ) printf "\nStarting the InvokeAI browser-based UI..\n"; invoke --web $*;; echo "Starting the InvokeAI command-line..."
3 ) printf "\nStarting Textual Inversion:\n"; textual_inversion --gui $*;; exec invokeai $@
4 ) printf "\nMerging Models:\n"; merge_models --gui $*;; ;;
5 ) printf "\nDeveloper Console:\n"; file_name=$(basename "${BASH_SOURCE[0]}"); bash --init-file "$file_name";; 2)
6 ) printf "\nRunning configure_invokeai.py:\n"; configure_invokeai $*;; echo "Starting the InvokeAI browser-based UI..."
* ) echo "Invalid selection"; exit;; exec invokeai --web $@
;;
3)
echo "Starting Textual Inversion:"
exec textual_inversion --gui $@
;;
4)
echo "Merging Models:"
exec merge_models --gui $@
;;
5)
echo "Developer Console:"
file_name=$(basename "${BASH_SOURCE[0]}")
bash --init-file "$file_name"
;;
6)
exec invokeai-configure --root ${INVOKEAI_ROOT}
;;
7)
exec invokeai --help
;;
*)
echo "Invalid selection"
exit;;
esac esac
else # in developer console else # in developer console
python --version python --version

3
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@ -57,7 +57,7 @@ if %errorlevel% neq 0 (
exit /b exit /b
) )
@rem call .venv\Scripts\python .venv\Scripts\configure_invokeai.py --root=. @rem call .venv\Scripts\invokeai-configure --root=.
@rem if %errorlevel% neq 0 ( @rem if %errorlevel% neq 0 (
@rem echo Configuration InvokeAI failed. See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting for suggestions. @rem echo Configuration InvokeAI failed. See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting for suggestions.
@ -70,4 +70,3 @@ echo InvokeAI has been updated to '%INVOKE_AI_VERSION%'
echo "Press any key to continue" echo "Press any key to continue"
pause pause
endlocal endlocal

3
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@ -56,6 +56,3 @@ _err_exit $? "The pip program failed to install InvokeAI's requirements."
_err_exit $? "The pip program failed to install InvokeAI." _err_exit $? "The pip program failed to install InvokeAI."
echo InvokeAI updated to \'$INVOKE_AI_VERSION\' echo InvokeAI updated to \'$INVOKE_AI_VERSION\'
# ./.venv/bin/python .venv/bin/configure_invokeai.py --root .
# _err_exit $? "The configure script failed to run successfully."

3
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After version 2.3 is released, the ldm/invoke modules will be migrated to this location
so that we have a proper invokeai distribution. Currently it is only being used for
data files.

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@ -0,0 +1,5 @@
'''
Initialization file for invokeai.backend
'''
from .invoke_ai_web_server import InvokeAIWebServer

21
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@ -11,16 +11,18 @@ from threading import Event
from uuid import uuid4 from uuid import uuid4
import eventlet import eventlet
from pathlib import Path
from PIL import Image from PIL import Image
from PIL.Image import Image as ImageType from PIL.Image import Image as ImageType
from flask import Flask, redirect, send_from_directory, request, make_response from flask import Flask, redirect, send_from_directory, request, make_response
from flask_socketio import SocketIO from flask_socketio import SocketIO
from werkzeug.utils import secure_filename from werkzeug.utils import secure_filename
from backend.modules.get_canvas_generation_mode import ( from invokeai.backend.modules.get_canvas_generation_mode import (
get_canvas_generation_mode, get_canvas_generation_mode,
) )
from backend.modules.parameters import parameters_to_command from invokeai.backend.modules.parameters import parameters_to_command
import invokeai.frontend.dist as frontend
from ldm.generate import Generate from ldm.generate import Generate
from ldm.invoke.args import Args, APP_ID, APP_VERSION, calculate_init_img_hash from ldm.invoke.args import Args, APP_ID, APP_VERSION, calculate_init_img_hash
from ldm.invoke.conditioning import get_tokens_for_prompt, get_prompt_structure from ldm.invoke.conditioning import get_tokens_for_prompt, get_prompt_structure
@ -93,9 +95,8 @@ class InvokeAIWebServer:
_cors = _cors.split(",") _cors = _cors.split(",")
socketio_args["cors_allowed_origins"] = _cors socketio_args["cors_allowed_origins"] = _cors
frontend_path = self.find_frontend()
self.app = Flask( self.app = Flask(
__name__, static_url_path="", static_folder=frontend_path __name__, static_url_path="", static_folder=frontend.__path__[0]
) )
self.socketio = SocketIO(self.app, **socketio_args) self.socketio = SocketIO(self.app, **socketio_args)
@ -253,18 +254,6 @@ class InvokeAIWebServer:
keyfile=args.keyfile, keyfile=args.keyfile,
) )
def find_frontend(self):
my_dir = os.path.dirname(__file__)
# LS: setup.py seems to put the frontend in different places on different systems, so
# this is fragile and needs to be replaced with a better way of finding the front end.
for candidate in (os.path.join(my_dir,'..','frontend','dist'), # pip install -e .
os.path.join(my_dir,'../../../../frontend','dist'), # pip install . (Linux, Mac)
os.path.join(my_dir,'../../../frontend','dist'), # pip install . (Windows)
):
if os.path.exists(candidate):
return candidate
assert "Frontend files cannot be found. Cannot continue"
def setup_app(self): def setup_app(self):
self.result_url = "outputs/" self.result_url = "outputs/"
self.init_image_url = "outputs/init-images/" self.init_image_url = "outputs/init-images/"

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@ -1,4 +1,4 @@
from backend.modules.parse_seed_weights import parse_seed_weights from invokeai.backend.modules.parse_seed_weights import parse_seed_weights
import argparse import argparse
SAMPLER_CHOICES = [ SAMPLER_CHOICES = [

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@ -1,69 +1,63 @@
stable-diffusion-2.1-768:
description: Stable Diffusion version 2.1 diffusers model, trained on 768x768 images (5.21 GB)
repo_id: stabilityai/stable-diffusion-2-1
format: diffusers
recommended: True
stable-diffusion-2.1-base:
description: Stable Diffusion version 2.1 diffusers base model, trained on 512x512 images (5.21 GB)
repo_id: stabilityai/stable-diffusion-2-1-base
format: diffusers
recommended: False
stable-diffusion-1.5: stable-diffusion-1.5:
description: Stable Diffusion version 1.5 weight file (4.27 GB) description: Stable Diffusion version 1.5 weight file (4.27 GB)
repo_id: runwayml/stable-diffusion-v1-5 repo_id: runwayml/stable-diffusion-v1-5
format: diffusers format: diffusers
recommended: True
default: True
vae: vae:
repo_id: stabilityai/sd-vae-ft-mse repo_id: stabilityai/sd-vae-ft-mse
stable-diffusion-1.4:
description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
repo_id: CompVis/stable-diffusion-v1-4
recommended: False
format: diffusers
vae:
repo_id: stabilityai/sd-vae-ft-mse
width: 512
height: 512
inpainting-1.5:
description: RunwayML SD 1.5 model optimized for inpainting (ckpt version) (4.27 GB)
repo_id: runwayml/stable-diffusion-inpainting
config: v1-inpainting-inference.yaml
file: sd-v1-5-inpainting.ckpt
format: ckpt
vae:
repo_id: stabilityai/sd-vae-ft-mse-original
file: vae-ft-mse-840000-ema-pruned.ckpt
recommended: True recommended: True
width: 512 default: True
height: 512 inpainting-1.5:
waifu-diffusion-1.4: description: RunwayML SD 1.5 model optimized for inpainting (4.27 GB)
description: Latest waifu diffusion 1.4 (diffusers version) repo_id: runwayml/stable-diffusion-inpainting
format: diffusers format: diffusers
repo_id: hakurei/waifu-diffusion
vae: vae:
repo_id: stabilityai/sd-vae-ft-mse repo_id: stabilityai/sd-vae-ft-mse
recommended: True recommended: True
waifu-diffusion-1.3: dreamlike-diffusion-1.0:
description: Stable Diffusion 1.4 fine tuned on anime-styled images (ckpt version) (4.27 GB) description: An SD 1.5 model fine tuned on high quality art by dreamlike.art
repo_id: hakurei/waifu-diffusion-v1-3 format: diffusers
config: v1-inference.yaml repo_id: dreamlike-art/dreamlike-diffusion-1.0
file: model-epoch09-float32.ckpt vae:
format: ckpt repo_id: stabilityai/sd-vae-ft-mse
vae: recommended: True
repo_id: stabilityai/sd-vae-ft-mse-original dreamlike-photoreal-2.0:
file: vae-ft-mse-840000-ema-pruned.ckpt description: A photorealistic model trained on 768 pixel images based on SD 1.5 (2.13 GB)
format: diffusers
repo_id: dreamlike-art/dreamlike-photoreal-2.0
recommended: False
stable-diffusion-2.1-768:
description: Stable Diffusion version 2.1 diffusers model, trained on 768 pixel images (5.21 GB)
repo_id: stabilityai/stable-diffusion-2-1
format: diffusers
recommended: True
stable-diffusion-2.1-base:
description: Stable Diffusion version 2.1 diffusers base model, trained on 512 pixel images (5.21 GB)
repo_id: stabilityai/stable-diffusion-2-1-base
format: diffusers
recommended: False recommended: False
width: 512 openjourney-4.0:
height: 512 description: An SD 1.5 model fine tuned on Midjourney images by PromptHero - include "mdjrny-v4 style" in your prompts (2.13 GB)
format: diffusers
repo_id: prompthero/openjourney
vae:
repo_id: stabilityai/sd-vae-ft-mse
recommended: False
nitro-diffusion-1.0:
description: A SD 1.5 model trained on three artstyles - prompt with "archer style", "arcane style" and/or "modern disney style" (2.13 GB)
repo_id: nitrosocke/Nitro-Diffusion
format: diffusers
vae:
repo_id: stabilityai/sd-vae-ft-mse
recommended: False
trinart-2.0: trinart-2.0:
description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures (2.13 GB) description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures (2.13 GB)
repo_id: naclbit/trinart_stable_diffusion_v2 repo_id: naclbit/trinart_stable_diffusion_v2
format: diffusers format: diffusers
recommended: False
vae: vae:
repo_id: stabilityai/sd-vae-ft-mse repo_id: stabilityai/sd-vae-ft-mse
trinart_characters-2_0: recommended: False
trinart-characters-2_0:
description: An SD model finetuned with 19.2M anime/manga style images (ckpt version) (4.27 GB) description: An SD model finetuned with 19.2M anime/manga style images (ckpt version) (4.27 GB)
repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion
config: v1-inference.yaml config: v1-inference.yaml
@ -72,50 +66,24 @@ trinart_characters-2_0:
vae: vae:
repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion
file: autoencoder_fix_kl-f8-trinart_characters.ckpt file: autoencoder_fix_kl-f8-trinart_characters.ckpt
recommended: False
width: 512 width: 512
height: 512 height: 512
anything-4.0:
description: High-quality, highly detailed anime style images with just a few prompts
format: diffusers
repo_id: andite/anything-v4.0
vae:
repo_id: stabilityai/sd-vae-ft-mse
recommended: False recommended: False
papercut-1.0:
description: SD 1.5 fine-tuned for papercut art (use "PaperCut" in your prompts) (2.13 GB)
repo_id: Fictiverse/Stable_Diffusion_PaperCut_Model
format: diffusers
vae:
repo_id: stabilityai/sd-vae-ft-mse
recommended: False
voxel_art-1.0:
description: Stable Diffusion trained on voxel art (use "VoxelArt" in your prompts) (4.27 GB)
repo_id: Fictiverse/Stable_Diffusion_VoxelArt_Model
config: v1-inference.yaml
file: VoxelArt_v1.ckpt
format: ckpt
vae:
repo_id: stabilityai/sd-vae-ft-mse
file: vae-ft-mse-840000-ema-pruned.ckpt
recommended: False
width: 512
height: 512
ft-mse-improved-autoencoder-840000: ft-mse-improved-autoencoder-840000:
description: StabilityAI improved autoencoder fine-tuned for human faces. Use with legacy .ckpt models ONLY (335 MB) description: StabilityAI improved autoencoder fine-tuned for human faces. Improves legacy .ckpt models (335 MB)
repo_id: stabilityai/sd-vae-ft-mse-original repo_id: stabilityai/sd-vae-ft-mse-original
format: ckpt format: ckpt
config: VAE/default config: VAE/default
file: vae-ft-mse-840000-ema-pruned.ckpt file: vae-ft-mse-840000-ema-pruned.ckpt
recommended: True
width: 512 width: 512
height: 512 height: 512
recommended: True
trinart_vae: trinart_vae:
description: Custom autoencoder for trinart_characters for legacy .ckpt models only (335 MB) description: Custom autoencoder for trinart_characters for legacy .ckpt models only (335 MB)
repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1 repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
config: VAE/trinart config: VAE/trinart
format: ckpt format: ckpt
file: autoencoder_fix_kl-f8-trinart_characters.ckpt file: autoencoder_fix_kl-f8-trinart_characters.ckpt
recommended: False
width: 512 width: 512
height: 512 height: 512
recommended: False

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