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14 Commits

Author SHA1 Message Date
060eff5dad bump rc version 2022-12-28 20:37:36 -05:00
5d00831f71 Merge branch 'main' into lstein-release-candidate-2-2-5 2022-12-28 20:33:39 -05:00
d74ed7e974 bring installers up to date with 2.2.5-rc2 2022-12-29 01:21:55 +00:00
451750229d model_cache applies rootdir to config path 2022-12-28 17:59:53 +00:00
080fe48106 Merge branch 'lstein-release-candidate-2-2-5' of github.com:invoke-ai/InvokeAI into lstein-release-candidate-2-2-5 2022-12-28 17:59:15 +00:00
ff0eb56c96 remove extraneous whitespace 2022-12-28 13:44:29 +00:00
006123aa32 rc2.2.5 (install.sh) relative path fixes (#2155)
* (installer) fix bug in resolution of relative paths in linux install script

point installer at 2.2.5-rc1

selecting ~/Data/myapps/ as location  would create a ./~/Data/myapps
instead of expanding the ~/ to the value of ${HOME}

also, squash the trailing slash in path, if it was entered by the user

* (installer) add option to automatically start the app after install

also: when exiting, print the command to get back into the app
2022-12-28 08:00:35 -05:00
540da32bd5 give Linux user option of installing ROCm or CUDA 2022-12-26 02:37:16 +00:00
aa084b205f Merge branch 'main' into lstein-release-candidate-2-2-5 2022-12-25 19:02:01 -05:00
49f97f994a fix permissions on create_installer.sh 2022-12-25 19:00:41 -05:00
211d7be03d bump version number 2022-12-25 18:28:06 -05:00
7d99416cc9 update pulls from "latest" now 2022-12-25 23:11:35 +00:00
f60bf9e1e6 update.bat.in debugged and working 2022-12-25 18:13:06 +00:00
fce7b5466a installer tweaks in preparation for v2.2.5
- pin numpy to 1.23.* to avoid requirements conflict with numba
- update.sh and update.bat now accept a tag or branch string, not a URL
- update scripts download latest requirements-base before updating.
2022-12-25 17:36:59 +00:00
1056 changed files with 53988 additions and 264717 deletions

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@ -1,6 +0,0 @@
[run]
omit='.env/*'
source='.'
[report]
show_missing = true

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@ -1,25 +1,19 @@
# use this file as a whitelist
*
!invokeai
!backend
!environments-and-requirements
!frontend
!ldm
!pyproject.toml
!main.py
!scripts
!server
!static
!setup.py
# Guard against pulling in any models that might exist in the directory tree
**/*.pt*
**/*.ckpt
# ignore frontend but whitelist dist
invokeai/frontend/
!invokeai/frontend/dist/
# unignore configs, but only ignore the custom models.yaml, in case it exists
!configs
configs/models.yaml
# ignore invokeai/assets but whitelist invokeai/assets/web
invokeai/assets/
!invokeai/assets/web/
# Byte-compiled / optimized / DLL files
**/__pycache__/
**/*.py[cod]
# Distribution / packaging
*.egg-info/
*.egg
**/__pycache__

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@ -1,8 +1,5 @@
root = true
# All files
[*]
max_line_length = 80
charset = utf-8
end_of_line = lf
indent_size = 2
@ -13,18 +10,3 @@ trim_trailing_whitespace = true
# Python
[*.py]
indent_size = 4
max_line_length = 120
# css
[*.css]
indent_size = 4
# flake8
[.flake8]
indent_size = 4
# Markdown MkDocs
[docs/**/*.md]
max_line_length = 80
indent_size = 4
indent_style = unset

37
.flake8
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@ -1,37 +0,0 @@
[flake8]
max-line-length = 120
extend-ignore =
# See https://github.com/PyCQA/pycodestyle/issues/373
E203,
# use Bugbear's B950 instead
E501,
# from black repo https://github.com/psf/black/blob/main/.flake8
E266, W503, B907
extend-select =
# Bugbear line length
B950
extend-exclude =
scripts/orig_scripts/*
ldm/models/*
ldm/modules/*
ldm/data/*
ldm/generate.py
ldm/util.py
ldm/simplet2i.py
per-file-ignores =
# B950 line too long
# W605 invalid escape sequence
# F841 assigned to but never used
# F401 imported but unused
tests/test_prompt_parser.py: B950, W605, F401
tests/test_textual_inversion.py: F841, B950
# B023 Function definition does not bind loop variable
scripts/legacy_api.py: F401, B950, B023, F841
ldm/invoke/__init__.py: F401
# B010 Do not call setattr with a constant attribute value
ldm/invoke/server_legacy.py: B010
# =====================
# flake-quote settings:
# =====================
# Set this to match black style:
inline-quotes = double

68
.github/CODEOWNERS vendored
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@ -1,61 +1,7 @@
# continuous integration
/.github/workflows/ @mauwii @lstein @blessedcoolant
# documentation
/docs/ @lstein @mauwii @blessedcoolant
mkdocs.yml @mauwii @lstein
# installation and configuration
/pyproject.toml @mauwii @lstein @ebr
/docker/ @mauwii
/scripts/ @ebr @lstein @blessedcoolant
/installer/ @ebr @lstein
ldm/invoke/config @lstein @ebr
invokeai/assets @lstein @blessedcoolant
invokeai/configs @lstein @ebr @blessedcoolant
/ldm/invoke/_version.py @lstein @blessedcoolant
# web ui
/invokeai/frontend @blessedcoolant @psychedelicious
/invokeai/backend @blessedcoolant @psychedelicious
# generation and model management
/ldm/*.py @lstein @blessedcoolant
/ldm/generate.py @lstein @keturn
/ldm/invoke/args.py @lstein @blessedcoolant
/ldm/invoke/ckpt* @lstein @blessedcoolant
/ldm/invoke/ckpt_generator @lstein @blessedcoolant
/ldm/invoke/CLI.py @lstein @blessedcoolant
/ldm/invoke/config @lstein @ebr @mauwii @blessedcoolant
/ldm/invoke/generator @keturn @damian0815
/ldm/invoke/globals.py @lstein @blessedcoolant
/ldm/invoke/merge_diffusers.py @lstein @blessedcoolant
/ldm/invoke/model_manager.py @lstein @blessedcoolant
/ldm/invoke/txt2mask.py @lstein @blessedcoolant
/ldm/invoke/patchmatch.py @Kyle0654 @lstein
/ldm/invoke/restoration @lstein @blessedcoolant
# attention, textual inversion, model configuration
/ldm/models @damian0815 @keturn @blessedcoolant
/ldm/modules/textual_inversion_manager.py @lstein @blessedcoolant
/ldm/modules/attention.py @damian0815 @keturn
/ldm/modules/diffusionmodules @damian0815 @keturn
/ldm/modules/distributions @damian0815 @keturn
/ldm/modules/ema.py @damian0815 @keturn
/ldm/modules/embedding_manager.py @lstein
/ldm/modules/encoders @damian0815 @keturn
/ldm/modules/image_degradation @damian0815 @keturn
/ldm/modules/losses @damian0815 @keturn
/ldm/modules/x_transformer.py @damian0815 @keturn
# Nodes
apps/ @Kyle0654 @jpphoto
# legacy REST API
# these are dead code
#/ldm/invoke/pngwriter.py @CapableWeb
#/ldm/invoke/server_legacy.py @CapableWeb
#/scripts/legacy_api.py @CapableWeb
#/tests/legacy_tests.sh @CapableWeb
ldm/invoke/pngwriter.py @CapableWeb
ldm/invoke/server_legacy.py @CapableWeb
scripts/legacy_api.py @CapableWeb
tests/legacy_tests.sh @CapableWeb
installer/ @tildebyte
.github/workflows/ @mauwii
docker_build/ @mauwii

87
.github/workflows/build-cloud-img.yml vendored Normal file
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@ -0,0 +1,87 @@
name: Build and push cloud image
on:
workflow_dispatch:
# push:
# branches:
# - main
# tags:
# - v*
# # we will NOT push the image on pull requests, only test buildability.
# pull_request:
# branches:
# - main
permissions:
contents: read
packages: write
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
docker:
strategy:
fail-fast: false
matrix:
arch:
- x86_64
# requires resolving a patchmatch issue
# - aarch64
runs-on: ubuntu-latest
name: ${{ matrix.arch }}
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
if: matrix.arch == 'aarch64'
- name: Docker meta
id: meta
uses: docker/metadata-action@v4
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
# see https://github.com/docker/metadata-action
# will push the following tags:
# :edge
# :main (+ any other branches enabled in the workflow)
# :<tag>
# :1.2.3 (for semver tags)
# :1.2 (for semver tags)
# :<sha>
tags: |
type=edge,branch=main
type=ref,event=branch
type=ref,event=tag
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=sha
# suffix image tags with architecture
flavor: |
latest=auto
suffix=-${{ matrix.arch }},latest=true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
# do not login to container registry on PRs
- if: github.event_name != 'pull_request'
name: Docker login
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push cloud image
uses: docker/build-push-action@v3
with:
context: .
file: docker-build/Dockerfile.cloud
platforms: Linux/${{ matrix.arch }}
# do not push the image on PRs
push: false
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}

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@ -3,109 +3,72 @@ on:
push:
branches:
- 'main'
- 'update/ci/docker/*'
- 'update/docker/*'
paths:
- 'pyproject.toml'
- 'ldm/**'
- 'invokeai/backend/**'
- 'invokeai/configs/**'
- 'invokeai/frontend/dist/**'
- 'docker/Dockerfile'
tags:
- 'v*.*.*'
workflow_dispatch:
jobs:
docker:
if: github.event.pull_request.draft == false
strategy:
fail-fast: false
matrix:
registry:
- ghcr.io
flavor:
- amd
- cuda
- cpu
# - cloud
include:
- flavor: amd
pip-extra-index-url: 'https://download.pytorch.org/whl/rocm5.2'
pip-requirements: requirements-lin-amd.txt
dockerfile: docker-build/Dockerfile
platforms: linux/amd64,linux/arm64
- flavor: cuda
pip-extra-index-url: ''
- flavor: cpu
pip-extra-index-url: 'https://download.pytorch.org/whl/cpu'
pip-requirements: requirements-lin-cuda.txt
dockerfile: docker-build/Dockerfile
platforms: linux/amd64,linux/arm64
# - flavor: cloud
# pip-requirements: requirements-lin-cuda.txt
# dockerfile: docker-build/Dockerfile.cloud
# platforms: linux/amd64
runs-on: ubuntu-latest
name: ${{ matrix.flavor }}
env:
PLATFORMS: 'linux/amd64,linux/arm64'
DOCKERFILE: 'docker/Dockerfile'
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
- name: Docker meta
id: meta
uses: docker/metadata-action@v4
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
images: |
ghcr.io/${{ github.repository }}
${{ vars.DOCKERHUB_REPOSITORY }}
images: ${{ matrix.registry }}/${{ github.repository }}-${{ matrix.flavor }}
tags: |
type=ref,event=branch
type=ref,event=tag
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=semver,pattern={{major}}
type=sha,enable=true,prefix=sha-,format=short
type=sha
flavor: |
latest=${{ matrix.flavor == 'cuda' && github.ref == 'refs/heads/main' }}
suffix=-${{ matrix.flavor }},onlatest=false
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
latest=true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
with:
platforms: ${{ env.PLATFORMS }}
- name: Login to GitHub Container Registry
if: github.event_name != 'pull_request'
- if: github.event_name != 'pull_request'
name: Docker login
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
registry: ${{ matrix.registry }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Login to Docker Hub
if: github.event_name != 'pull_request' && vars.DOCKERHUB_REPOSITORY != ''
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Build container
id: docker_build
uses: docker/build-push-action@v4
uses: docker/build-push-action@v3
with:
context: .
file: ${{ env.DOCKERFILE }}
platforms: ${{ env.PLATFORMS }}
push: ${{ github.ref == 'refs/heads/main' || github.ref == 'refs/tags/*' }}
file: ${{ matrix.dockerfile }}
platforms: ${{ matrix.platforms }}
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
build-args: PIP_EXTRA_INDEX_URL=${{ matrix.pip-extra-index-url }}
cache-from: |
type=gha,scope=${{ github.ref_name }}-${{ matrix.flavor }}
type=gha,scope=main-${{ matrix.flavor }}
cache-to: type=gha,mode=max,scope=${{ github.ref_name }}-${{ matrix.flavor }}
- name: Docker Hub Description
if: github.ref == 'refs/heads/main' || github.ref == 'refs/tags/*' && vars.DOCKERHUB_REPOSITORY != ''
uses: peter-evans/dockerhub-description@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
repository: ${{ vars.DOCKERHUB_REPOSITORY }}
short-description: ${{ github.event.repository.description }}
build-args: pip_requirements=${{ matrix.pip-requirements }}

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@ -1,34 +0,0 @@
name: cleanup caches by a branch
on:
pull_request:
types:
- closed
workflow_dispatch:
jobs:
cleanup:
runs-on: ubuntu-latest
steps:
- name: Check out code
uses: actions/checkout@v3
- name: Cleanup
run: |
gh extension install actions/gh-actions-cache
REPO=${{ github.repository }}
BRANCH=${{ github.ref }}
echo "Fetching list of cache key"
cacheKeysForPR=$(gh actions-cache list -R $REPO -B $BRANCH | cut -f 1 )
## Setting this to not fail the workflow while deleting cache keys.
set +e
echo "Deleting caches..."
for cacheKey in $cacheKeysForPR
do
gh actions-cache delete $cacheKey -R $REPO -B $BRANCH --confirm
done
echo "Done"
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

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@ -3,18 +3,17 @@ name: Lint frontend
on:
pull_request:
paths:
- 'invokeai/frontend/**'
- 'frontend/**'
push:
paths:
- 'invokeai/frontend/**'
- 'frontend/**'
defaults:
run:
working-directory: invokeai/frontend
working-directory: frontend
jobs:
lint-frontend:
if: github.event.pull_request.draft == false
runs-on: ubuntu-22.04
steps:
- name: Setup Node 18

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@ -7,12 +7,7 @@ on:
jobs:
mkdocs-material:
if: github.event.pull_request.draft == false
runs-on: ubuntu-latest
env:
REPO_URL: '${{ github.server_url }}/${{ github.repository }}'
REPO_NAME: '${{ github.repository }}'
SITE_URL: 'https://${{ github.repository_owner }}.github.io/InvokeAI'
steps:
- name: checkout sources
uses: actions/checkout@v3
@ -23,15 +18,11 @@ jobs:
uses: actions/setup-python@v4
with:
python-version: '3.10'
cache: pip
cache-dependency-path: pyproject.toml
- name: install requirements
env:
PIP_USE_PEP517: 1
run: |
python -m \
pip install ".[docs]"
pip install -r docs/requirements-mkdocs.txt
- name: confirm buildability
run: |

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@ -9,7 +9,6 @@ on:
jobs:
pyflakes:
name: runner / pyflakes
if: github.event.pull_request.draft == false
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2

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@ -1,41 +0,0 @@
name: PyPI Release
on:
push:
paths:
- 'ldm/invoke/_version.py'
workflow_dispatch:
jobs:
release:
if: github.repository == 'invoke-ai/InvokeAI'
runs-on: ubuntu-22.04
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
TWINE_NON_INTERACTIVE: 1
steps:
- name: checkout sources
uses: actions/checkout@v3
- name: install deps
run: pip install --upgrade build twine
- name: build package
run: python3 -m build
- name: check distribution
run: twine check dist/*
- name: check PyPI versions
if: github.ref == 'refs/heads/main' || github.ref == 'refs/heads/v2.3'
run: |
pip install --upgrade requests
python -c "\
import scripts.pypi_helper; \
EXISTS=scripts.pypi_helper.local_on_pypi(); \
print(f'PACKAGE_EXISTS={EXISTS}')" >> $GITHUB_ENV
- name: upload package
if: env.PACKAGE_EXISTS == 'False' && env.TWINE_PASSWORD != ''
run: twine upload dist/*

161
.github/workflows/test-invoke-conda.yml vendored Normal file
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@ -0,0 +1,161 @@
name: Test invoke.py
on:
push:
branches:
- 'main'
pull_request:
branches:
- 'main'
types:
- 'ready_for_review'
- 'opened'
- 'synchronize'
- 'converted_to_draft'
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
fail_if_pull_request_is_draft:
if: github.event.pull_request.draft == true
runs-on: ubuntu-22.04
steps:
- name: Fails in order to indicate that pull request needs to be marked as ready to review and unit tests workflow needs to pass.
run: exit 1
matrix:
if: github.event.pull_request.draft == false
strategy:
matrix:
stable-diffusion-model:
- 'stable-diffusion-1.5'
environment-yaml:
- environment-lin-amd.yml
- environment-lin-cuda.yml
- environment-mac.yml
- environment-win-cuda.yml
include:
- environment-yaml: environment-lin-amd.yml
os: ubuntu-22.04
curl-command: curl
github-env: $GITHUB_ENV
default-shell: bash -l {0}
- environment-yaml: environment-lin-cuda.yml
os: ubuntu-22.04
curl-command: curl
github-env: $GITHUB_ENV
default-shell: bash -l {0}
- environment-yaml: environment-mac.yml
os: macos-12
curl-command: curl
github-env: $GITHUB_ENV
default-shell: bash -l {0}
- environment-yaml: environment-win-cuda.yml
os: windows-2022
curl-command: curl.exe
github-env: $env:GITHUB_ENV
default-shell: pwsh
- stable-diffusion-model: stable-diffusion-1.5
stable-diffusion-model-url: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
stable-diffusion-model-dl-path: models/ldm/stable-diffusion-v1
stable-diffusion-model-dl-name: v1-5-pruned-emaonly.ckpt
name: ${{ matrix.environment-yaml }} on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
env:
CONDA_ENV_NAME: invokeai
INVOKEAI_ROOT: '${{ github.workspace }}/invokeai'
defaults:
run:
shell: ${{ matrix.default-shell }}
steps:
- name: Checkout sources
id: checkout-sources
uses: actions/checkout@v3
- name: create models.yaml from example
run: |
mkdir -p ${{ env.INVOKEAI_ROOT }}/configs
cp configs/models.yaml.example ${{ env.INVOKEAI_ROOT }}/configs/models.yaml
- name: create environment.yml
run: cp "environments-and-requirements/${{ matrix.environment-yaml }}" environment.yml
- name: Use cached conda packages
id: use-cached-conda-packages
uses: actions/cache@v3
with:
path: ~/conda_pkgs_dir
key: conda-pkgs-${{ runner.os }}-${{ runner.arch }}-${{ hashFiles(matrix.environment-yaml) }}
- name: Activate Conda Env
id: activate-conda-env
uses: conda-incubator/setup-miniconda@v2
with:
activate-environment: ${{ env.CONDA_ENV_NAME }}
environment-file: environment.yml
miniconda-version: latest
- name: set test prompt to main branch validation
if: ${{ github.ref == 'refs/heads/main' }}
run: echo "TEST_PROMPTS=tests/preflight_prompts.txt" >> ${{ matrix.github-env }}
- name: set test prompt to development branch validation
if: ${{ github.ref == 'refs/heads/development' }}
run: echo "TEST_PROMPTS=tests/dev_prompts.txt" >> ${{ matrix.github-env }}
- name: set test prompt to Pull Request validation
if: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/development' }}
run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }}
- name: Use Cached Stable Diffusion Model
id: cache-sd-model
uses: actions/cache@v3
env:
cache-name: cache-${{ matrix.stable-diffusion-model }}
with:
path: ${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}
key: ${{ env.cache-name }}
- name: Download ${{ matrix.stable-diffusion-model }}
id: download-stable-diffusion-model
if: ${{ steps.cache-sd-model.outputs.cache-hit != 'true' }}
run: |
mkdir -p "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}"
${{ matrix.curl-command }} -H "Authorization: Bearer ${{ secrets.HUGGINGFACE_TOKEN }}" -o "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}/${{ matrix.stable-diffusion-model-dl-name }}" -L ${{ matrix.stable-diffusion-model-url }}
- name: run configure_invokeai.py
id: run-preload-models
run: |
python scripts/configure_invokeai.py --skip-sd-weights --yes
- name: cat invokeai.init
id: cat-invokeai
run: cat ${{ env.INVOKEAI_ROOT }}/invokeai.init
- name: Run the tests
id: run-tests
if: matrix.os != 'windows-2022'
run: |
time python scripts/invoke.py \
--no-patchmatch \
--no-nsfw_checker \
--model ${{ matrix.stable-diffusion-model }} \
--from_file ${{ env.TEST_PROMPTS }} \
--root="${{ env.INVOKEAI_ROOT }}" \
--outdir="${{ env.INVOKEAI_ROOT }}/outputs"
- name: export conda env
id: export-conda-env
if: matrix.os != 'windows-2022'
run: |
mkdir -p outputs/img-samples
conda env export --name ${{ env.CONDA_ENV_NAME }} > ${{ env.INVOKEAI_ROOT }}/outputs/environment-${{ runner.os }}-${{ runner.arch }}.yml
- name: Archive results
if: matrix.os != 'windows-2022'
id: archive-results
uses: actions/upload-artifact@v3
with:
name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
path: ${{ env.INVOKEAI_ROOT }}/outputs

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@ -1,67 +0,0 @@
name: Test invoke.py pip
on:
pull_request:
paths-ignore:
- 'pyproject.toml'
- 'ldm/**'
- 'invokeai/backend/**'
- 'invokeai/configs/**'
- 'invokeai/frontend/dist/**'
merge_group:
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
matrix:
if: github.event.pull_request.draft == false
strategy:
matrix:
python-version:
# - '3.9'
- '3.10'
pytorch:
# - linux-cuda-11_6
- linux-cuda-11_7
- linux-rocm-5_2
- linux-cpu
- macos-default
- windows-cpu
# - windows-cuda-11_6
# - windows-cuda-11_7
include:
# - pytorch: linux-cuda-11_6
# os: ubuntu-22.04
# extra-index-url: 'https://download.pytorch.org/whl/cu116'
# github-env: $GITHUB_ENV
- pytorch: linux-cuda-11_7
os: ubuntu-22.04
github-env: $GITHUB_ENV
- pytorch: linux-rocm-5_2
os: ubuntu-22.04
extra-index-url: 'https://download.pytorch.org/whl/rocm5.2'
github-env: $GITHUB_ENV
- pytorch: linux-cpu
os: ubuntu-22.04
extra-index-url: 'https://download.pytorch.org/whl/cpu'
github-env: $GITHUB_ENV
- pytorch: macos-default
os: macOS-12
github-env: $GITHUB_ENV
- pytorch: windows-cpu
os: windows-2022
github-env: $env:GITHUB_ENV
# - pytorch: windows-cuda-11_6
# os: windows-2022
# extra-index-url: 'https://download.pytorch.org/whl/cu116'
# github-env: $env:GITHUB_ENV
# - pytorch: windows-cuda-11_7
# os: windows-2022
# extra-index-url: 'https://download.pytorch.org/whl/cu117'
# github-env: $env:GITHUB_ENV
name: ${{ matrix.pytorch }} on ${{ matrix.python-version }}
runs-on: ${{ matrix.os }}
steps:
- run: 'echo "No build required"'

View File

@ -3,146 +3,142 @@ on:
push:
branches:
- 'main'
paths:
- 'pyproject.toml'
- 'ldm/**'
- 'invokeai/backend/**'
- 'invokeai/configs/**'
- 'invokeai/frontend/dist/**'
pull_request:
paths:
- 'pyproject.toml'
- 'ldm/**'
- 'invokeai/backend/**'
- 'invokeai/configs/**'
- 'invokeai/frontend/dist/**'
branches:
- 'main'
types:
- 'ready_for_review'
- 'opened'
- 'synchronize'
merge_group:
workflow_dispatch:
- 'converted_to_draft'
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
fail_if_pull_request_is_draft:
if: github.event.pull_request.draft == true
runs-on: ubuntu-18.04
steps:
- name: Fails in order to indicate that pull request needs to be marked as ready to review and unit tests workflow needs to pass.
run: exit 1
matrix:
if: github.event.pull_request.draft == false
strategy:
matrix:
stable-diffusion-model:
- stable-diffusion-1.5
requirements-file:
- requirements-lin-cuda.txt
- requirements-lin-amd.txt
- requirements-mac-mps-cpu.txt
- requirements-win-colab-cuda.txt
python-version:
# - '3.9'
- '3.10'
pytorch:
# - linux-cuda-11_6
- linux-cuda-11_7
- linux-rocm-5_2
- linux-cpu
- macos-default
- windows-cpu
# - windows-cuda-11_6
# - windows-cuda-11_7
include:
# - pytorch: linux-cuda-11_6
# os: ubuntu-22.04
# extra-index-url: 'https://download.pytorch.org/whl/cu116'
# github-env: $GITHUB_ENV
- pytorch: linux-cuda-11_7
- requirements-file: requirements-lin-cuda.txt
os: ubuntu-22.04
curl-command: curl
github-env: $GITHUB_ENV
- pytorch: linux-rocm-5_2
- requirements-file: requirements-lin-amd.txt
os: ubuntu-22.04
extra-index-url: 'https://download.pytorch.org/whl/rocm5.2'
curl-command: curl
github-env: $GITHUB_ENV
- pytorch: linux-cpu
os: ubuntu-22.04
extra-index-url: 'https://download.pytorch.org/whl/cpu'
github-env: $GITHUB_ENV
- pytorch: macos-default
- requirements-file: requirements-mac-mps-cpu.txt
os: macOS-12
curl-command: curl
github-env: $GITHUB_ENV
- pytorch: windows-cpu
- requirements-file: requirements-win-colab-cuda.txt
os: windows-2022
curl-command: curl.exe
github-env: $env:GITHUB_ENV
# - pytorch: windows-cuda-11_6
# os: windows-2022
# extra-index-url: 'https://download.pytorch.org/whl/cu116'
# github-env: $env:GITHUB_ENV
# - pytorch: windows-cuda-11_7
# os: windows-2022
# extra-index-url: 'https://download.pytorch.org/whl/cu117'
# github-env: $env:GITHUB_ENV
name: ${{ matrix.pytorch }} on ${{ matrix.python-version }}
- stable-diffusion-model: stable-diffusion-1.5
stable-diffusion-model-url: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
stable-diffusion-model-dl-path: models/ldm/stable-diffusion-v1
stable-diffusion-model-dl-name: v1-5-pruned-emaonly.ckpt
name: ${{ matrix.requirements-file }} on ${{ matrix.python-version }}
runs-on: ${{ matrix.os }}
env:
PIP_USE_PEP517: '1'
steps:
- name: Checkout sources
id: checkout-sources
uses: actions/checkout@v3
- name: set INVOKEAI_ROOT Windows
if: matrix.os == 'windows-2022'
run: |
echo "INVOKEAI_ROOT=${{ github.workspace }}\invokeai" >> ${{ matrix.github-env }}
echo "INVOKEAI_OUTDIR=${{ github.workspace }}\invokeai\outputs" >> ${{ matrix.github-env }}
- name: set INVOKEAI_ROOT others
if: matrix.os != 'windows-2022'
run: |
echo "INVOKEAI_ROOT=${{ github.workspace }}/invokeai" >> ${{ matrix.github-env }}
echo "INVOKEAI_OUTDIR=${{ github.workspace }}/invokeai/outputs" >> ${{ matrix.github-env }}
- name: create models.yaml from example
run: |
mkdir -p ${{ env.INVOKEAI_ROOT }}/configs
cp configs/models.yaml.example ${{ env.INVOKEAI_ROOT }}/configs/models.yaml
- name: set test prompt to main branch validation
if: ${{ github.ref == 'refs/heads/main' }}
run: echo "TEST_PROMPTS=tests/preflight_prompts.txt" >> ${{ matrix.github-env }}
- name: set test prompt to development branch validation
if: ${{ github.ref == 'refs/heads/development' }}
run: echo "TEST_PROMPTS=tests/dev_prompts.txt" >> ${{ matrix.github-env }}
- name: set test prompt to Pull Request validation
if: ${{ github.ref != 'refs/heads/main' }}
if: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/development' }}
run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }}
- name: create requirements.txt
run: cp 'environments-and-requirements/${{ matrix.requirements-file }}' '${{ matrix.requirements-file }}'
- name: setup python
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: pyproject.toml
# cache: 'pip'
# cache-dependency-path: ${{ matrix.requirements-file }}
- name: install invokeai
- name: install dependencies
run: pip3 install --upgrade pip setuptools wheel
- name: install requirements
run: pip3 install -r '${{ matrix.requirements-file }}'
- name: Use Cached Stable Diffusion Model
id: cache-sd-model
uses: actions/cache@v3
env:
PIP_EXTRA_INDEX_URL: ${{ matrix.extra-index-url }}
run: >
pip3 install
--editable=".[test]"
cache-name: cache-${{ matrix.stable-diffusion-model }}
with:
path: ${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}
key: ${{ env.cache-name }}
- name: run pytest
id: run-pytest
run: pytest
- name: Download ${{ matrix.stable-diffusion-model }}
id: download-stable-diffusion-model
if: ${{ steps.cache-sd-model.outputs.cache-hit != 'true' }}
run: |
mkdir -p "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}"
${{ matrix.curl-command }} -H "Authorization: Bearer ${{ secrets.HUGGINGFACE_TOKEN }}" -o "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}/${{ matrix.stable-diffusion-model-dl-name }}" -L ${{ matrix.stable-diffusion-model-url }}
- name: set INVOKEAI_OUTDIR
run: >
python -c
"import os;from ldm.invoke.globals import Globals;OUTDIR=os.path.join(Globals.root,str('outputs'));print(f'INVOKEAI_OUTDIR={OUTDIR}')"
>> ${{ matrix.github-env }}
- name: run invokeai-configure
- name: run configure_invokeai.py
id: run-preload-models
env:
HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }}
run: >
invokeai-configure
--yes
--default_only
--full-precision
# can't use fp16 weights without a GPU
run: python3 scripts/configure_invokeai.py --skip-sd-weights --yes
- name: run invokeai
id: run-invokeai
env:
# Set offline mode to make sure configure preloaded successfully.
HF_HUB_OFFLINE: 1
HF_DATASETS_OFFLINE: 1
TRANSFORMERS_OFFLINE: 1
run: >
invokeai
--no-patchmatch
--no-nsfw_checker
--from_file ${{ env.TEST_PROMPTS }}
--outdir ${{ env.INVOKEAI_OUTDIR }}/${{ matrix.python-version }}/${{ matrix.pytorch }}
- name: Run the tests
id: run-tests
if: matrix.os != 'windows-2022'
run: python3 scripts/invoke.py --no-patchmatch --no-nsfw_checker --model ${{ matrix.stable-diffusion-model }} --from_file ${{ env.TEST_PROMPTS }} --root="${{ env.INVOKEAI_ROOT }}" --outdir="${{ env.INVOKEAI_OUTDIR }}"
- name: Archive results
id: archive-results
if: matrix.os != 'windows-2022'
uses: actions/upload-artifact@v3
with:
name: results
path: ${{ env.INVOKEAI_OUTDIR }}
name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
path: ${{ env.INVOKEAI_ROOT }}/outputs

11
.gitignore vendored
View File

@ -1,6 +1,4 @@
# ignore default image save location and model symbolic link
.idea/
embeddings/
outputs/
models/ldm/stable-diffusion-v1/model.ckpt
**/restoration/codeformer/weights
@ -68,13 +66,11 @@ htmlcov/
.cache
nosetests.xml
coverage.xml
cov.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
junit/
# Translations
*.mo
@ -198,7 +194,7 @@ checkpoints
.DS_Store
# Let the frontend manage its own gitignore
!invokeai/frontend/*
!frontend/*
# Scratch folder
.scratch/
@ -233,5 +229,8 @@ installer/install.sh
installer/update.bat
installer/update.sh
# this may be present if the user created a venv
invokeai
# no longer stored in source directory
models
models

View File

@ -1,41 +0,0 @@
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
repos:
- repo: https://github.com/psf/black
rev: 23.1.0
hooks:
- id: black
- repo: https://github.com/pycqa/isort
rev: 5.12.0
hooks:
- id: isort
- repo: https://github.com/PyCQA/flake8
rev: 6.0.0
hooks:
- id: flake8
additional_dependencies:
- flake8-black
- flake8-bugbear
- flake8-comprehensions
- flake8-simplify
- repo: https://github.com/pre-commit/mirrors-prettier
rev: 'v3.0.0-alpha.4'
hooks:
- id: prettier
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.4.0
hooks:
- id: check-added-large-files
- id: check-executables-have-shebangs
- id: check-shebang-scripts-are-executable
- id: check-merge-conflict
- id: check-symlinks
- id: check-toml
- id: end-of-file-fixer
- id: no-commit-to-branch
args: ['--branch', 'main']
- id: trailing-whitespace

View File

@ -1,14 +0,0 @@
invokeai/frontend/.husky
invokeai/frontend/patches
# Ignore artifacts:
build
coverage
static
invokeai/frontend/dist
# Ignore all HTML files:
*.html
# Ignore deprecated docs
docs/installation/deprecated_documentation

View File

@ -1,9 +1,9 @@
embeddedLanguageFormatting: auto
endOfLine: lf
singleQuote: true
semi: true
trailingComma: es5
tabWidth: 2
useTabs: false
singleQuote: true
quoteProps: as-needed
embeddedLanguageFormatting: auto
overrides:
- files: '*.md'
options:
@ -11,9 +11,3 @@ overrides:
printWidth: 80
parser: markdown
cursorOffset: -1
- files: docs/**/*.md
options:
tabWidth: 4
- files: 'invokeai/frontend/public/locales/*.json'
options:
tabWidth: 4

View File

@ -1,5 +0,0 @@
[pytest]
DJANGO_SETTINGS_MODULE = webtas.settings
; python_files = tests.py test_*.py *_tests.py
addopts = --cov=. --cov-config=.coveragerc --cov-report xml:cov.xml

256
README.md
View File

@ -1,6 +1,6 @@
<div align="center">
![project logo](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/invoke_ai_banner.png)
![project logo](docs/assets/invoke_ai_banner.png)
# InvokeAI: A Stable Diffusion Toolkit
@ -8,12 +8,14 @@
[![latest release badge]][latest release link] [![github stars badge]][github stars link] [![github forks badge]][github forks link]
[![CI checks on main badge]][CI checks on main link] [![latest commit to main badge]][latest commit to main link]
[![CI checks on main badge]][CI checks on main link] [![CI checks on dev badge]][CI checks on dev link] [![latest commit to dev badge]][latest commit to dev link]
[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link] [![translation status badge]][translation status link]
[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link]
[CI checks on dev badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/development?label=CI%20status%20on%20dev&cache=900&icon=github
[CI checks on dev link]: https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Adevelopment
[CI checks on main badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/main?label=CI%20status%20on%20main&cache=900&icon=github
[CI checks on main link]:https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Amain
[CI checks on main link]: https://github.com/invoke-ai/InvokeAI/actions/workflows/test-invoke-conda.yml
[discord badge]: https://flat.badgen.net/discord/members/ZmtBAhwWhy?icon=discord
[discord link]: https://discord.gg/ZmtBAhwWhy
[github forks badge]: https://flat.badgen.net/github/forks/invoke-ai/InvokeAI?icon=github
@ -24,155 +26,57 @@
[github open prs link]: https://github.com/invoke-ai/InvokeAI/pulls?q=is%3Apr+is%3Aopen
[github stars badge]: https://flat.badgen.net/github/stars/invoke-ai/InvokeAI?icon=github
[github stars link]: https://github.com/invoke-ai/InvokeAI/stargazers
[latest commit to main badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/main?icon=github&color=yellow&label=last%20dev%20commit&cache=900
[latest commit to main link]: https://github.com/invoke-ai/InvokeAI/commits/main
[latest commit to dev badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
[latest commit to dev link]: https://github.com/invoke-ai/InvokeAI/commits/development
[latest release badge]: https://flat.badgen.net/github/release/invoke-ai/InvokeAI/development?icon=github
[latest release link]: https://github.com/invoke-ai/InvokeAI/releases
[translation status badge]: https://hosted.weblate.org/widgets/invokeai/-/svg-badge.svg
[translation status link]: https://hosted.weblate.org/engage/invokeai/
</div>
InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.
This is a fork of
[CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion),
the open source text-to-image generator. It provides a streamlined
process with various new features and options to aid the image
generation process. It runs on Windows, macOS and Linux machines, with
GPU cards with as little as 4 GB of RAM. It provides both a polished
Web interface (see below), and an easy-to-use command-line interface.
**Quick links**: [[How to Install](https://invoke-ai.github.io/InvokeAI/#installation)] [<a href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a href="https://invoke-ai.github.io/InvokeAI/">Documentation and Tutorials</a>] [<a href="https://github.com/invoke-ai/InvokeAI/">Code and Downloads</a>] [<a href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>] [<a href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion, Ideas & Q&A</a>]
**Quick links**: [[How to Install](#installation)] [<a href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a href="https://invoke-ai.github.io/InvokeAI/">Documentation and Tutorials</a>] [<a href="https://github.com/invoke-ai/InvokeAI/">Code and Downloads</a>] [<a href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>] [<a href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion, Ideas & Q&A</a>]
_Note: InvokeAI is rapidly evolving. Please use the
[Issues](https://github.com/invoke-ai/InvokeAI/issues) tab to report bugs and make feature
requests. Be sure to use the provided templates. They will help us diagnose issues faster._
<div align="center">
![canvas preview](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/canvas_preview.png)
</div>
## Table of Contents
1. [Quick Start](#getting-started-with-invokeai)
2. [Installation](#detailed-installation-instructions)
3. [Hardware Requirements](#hardware-requirements)
4. [Features](#features)
5. [Latest Changes](#latest-changes)
6. [Troubleshooting](#troubleshooting)
7. [Contributing](#contributing)
8. [Contributors](#contributors)
9. [Support](#support)
10. [Further Reading](#further-reading)
## Getting Started with InvokeAI
# Getting Started with InvokeAI
For full installation and upgrade instructions, please see:
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
### Automatic Installer (suggested for 1st time users)
1. Go to the bottom of the [Latest Release Page](https://github.com/invoke-ai/InvokeAI/releases/latest)
2. Download the .zip file for your OS (Windows/macOS/Linux).
3. Unzip the file.
4. If you are on Windows, double-click on the `install.bat` script. On macOS, open a Terminal window, drag the file `install.sh` from Finder into the Terminal, and press return. On Linux, run `install.sh`.
5. Wait a while, until it is done.
6. The folder where you ran the installer from will now be filled with lots of files. If you are on Windows, double-click on the `invoke.bat` file. On macOS, open a Terminal window, drag `invoke.sh` from the folder into the Terminal, and press return. On Linux, run `invoke.sh`
7. Press 2 to open the "browser-based UI", press enter/return, wait a minute or two for Stable Diffusion to start up, then open your browser and go to http://localhost:9090.
8. Type `banana sushi` in the box on the top left and click `Invoke`:
4. If you are on Windows, double-click on the `install.bat` script. On
macOS, open a Terminal window, drag the file `install.sh` from Finder
into the Terminal, and press return. On Linux, run `install.sh`.
<div align="center"><img src="docs/assets/invoke-web-server-1.png" width=640></div>
5. You'll be asked to confirm the location of the folder in which
to install InvokeAI and its image generation model files. Pick a
location with at least 15 GB of free memory. More if you plan on
installing lots of models.
6. Wait while the installer does its thing. After installing the software,
the installer will launch a script that lets you configure InvokeAI and
select a set of starting image generaiton models.
7. Find the folder that InvokeAI was installed into (it is not the
same as the unpacked zip file directory!) The default location of this
folder (if you didn't change it in step 5) is `~/invokeai` on
Linux/Mac systems, and `C:\Users\YourName\invokeai` on Windows. This directory will contain launcher scripts named `invoke.sh` and `invoke.bat`.
## Table of Contents
8. On Windows systems, double-click on the `invoke.bat` file. On
macOS, open a Terminal window, drag `invoke.sh` from the folder into
the Terminal, and press return. On Linux, run `invoke.sh`
1. [Installation](#installation)
2. [Hardware Requirements](#hardware-requirements)
3. [Features](#features)
4. [Latest Changes](#latest-changes)
5. [Troubleshooting](#troubleshooting)
6. [Contributing](#contributing)
7. [Contributors](#contributors)
8. [Support](#support)
9. [Further Reading](#further-reading)
9. Press 2 to open the "browser-based UI", press enter/return, wait a
minute or two for Stable Diffusion to start up, then open your browser
and go to http://localhost:9090.
10. Type `banana sushi` in the box on the top left and click `Invoke`
### Command-Line Installation (for users familiar with Terminals)
You must have Python 3.9 or 3.10 installed on your machine. Earlier or later versions are
not supported.
1. Open a command-line window on your machine. The PowerShell is recommended for Windows.
2. Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:
```terminal
mkdir invokeai
````
3. Create a virtual environment named `.venv` inside this directory and activate it:
```terminal
cd invokeai
python -m venv .venv --prompt InvokeAI
```
4. Activate the virtual environment (do it every time you run InvokeAI)
_For Linux/Mac users:_
```sh
source .venv/bin/activate
```
_For Windows users:_
```ps
.venv\Scripts\activate
```
5. Install the InvokeAI module and its dependencies. Choose the command suited for your platform & GPU.
_For Windows/Linux with an NVIDIA GPU:_
```terminal
pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
```
_For Linux with an AMD GPU:_
```sh
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.4.2
```
_For Macintoshes, either Intel or M1/M2:_
```sh
pip install InvokeAI --use-pep517
```
6. Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
```terminal
invokeai-configure
```
7. Launch the web server (do it every time you run InvokeAI):
```terminal
invokeai --web
```
8. Point your browser to http://localhost:9090 to bring up the web interface.
9. Type `banana sushi` in the box on the top left and click `Invoke`.
Be sure to activate the virtual environment each time before re-launching InvokeAI,
using `source .venv/bin/activate` or `.venv\Scripts\activate`.
### Detailed Installation Instructions
### Installation
This fork is supported across Linux, Windows and Macintosh. Linux
users can use either an Nvidia-based card (with CUDA support) or an
@ -180,90 +84,90 @@ AMD card (using the ROCm driver). For full installation and upgrade
instructions, please see:
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALL_SOURCE/)
## Hardware Requirements
### Hardware Requirements
InvokeAI is supported across Linux, Windows and macOS. Linux
users can use either an Nvidia-based card (with CUDA support) or an
AMD card (using the ROCm driver).
#### System
### System
You will need one of the following:
You wil need one of the following:
- An NVIDIA-based graphics card with 4 GB or more VRAM memory.
- An Apple computer with an M1 chip.
- An AMD-based graphics card with 4GB or more VRAM memory. (Linux only)
We do not recommend the GTX 1650 or 1660 series video cards. They are
unable to run in half-precision mode and do not have sufficient VRAM
to render 512x512 images.
### Memory
#### Memory
- At least 12 GB Main Memory RAM.
### Disk
#### Disk
- At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.
## Features
**Note**
Feature documentation can be reviewed by navigating to [the InvokeAI Documentation page](https://invoke-ai.github.io/InvokeAI/features/)
If you have a Nvidia 10xx series card (e.g. the 1080ti), please
run the dream script in full-precision mode as shown below.
### *Web Server & UI*
Similarly, specify full-precision mode on Apple M1 hardware.
InvokeAI offers a locally hosted Web Server & React Frontend, with an industry leading user experience. The Web-based UI allows for simple and intuitive workflows, and is responsive for use on mobile devices and tablets accessing the web server.
Precision is auto configured based on the device. If however you encounter
errors like 'expected type Float but found Half' or 'not implemented for Half'
you can try starting `invoke.py` with the `--precision=float32` flag to your initialization command
### *Unified Canvas*
```bash
(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32
```
Or by updating your InvokeAI configuration file with this argument.
The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.
### Features
### *Advanced Prompt Syntax*
#### Major Features
InvokeAI's advanced prompt syntax allows for token weighting, cross-attention control, and prompt blending, allowing for fine-tuned tweaking of your invocations and exploration of the latent space.
- [Web Server](https://invoke-ai.github.io/InvokeAI/features/WEB/)
- [Interactive Command Line Interface](https://invoke-ai.github.io/InvokeAI/features/CLI/)
- [Image To Image](https://invoke-ai.github.io/InvokeAI/features/IMG2IMG/)
- [Inpainting Support](https://invoke-ai.github.io/InvokeAI/features/INPAINTING/)
- [Outpainting Support](https://invoke-ai.github.io/InvokeAI/features/OUTPAINTING/)
- [Upscaling, face-restoration and outpainting](https://invoke-ai.github.io/InvokeAI/features/POSTPROCESS/)
- [Reading Prompts From File](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#reading-prompts-from-a-file)
- [Prompt Blending](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#prompt-blending)
- [Thresholding and Perlin Noise Initialization Options](https://invoke-ai.github.io/InvokeAI/features/OTHER/#thresholding-and-perlin-noise-initialization-options)
- [Negative/Unconditioned Prompts](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#negative-and-unconditioned-prompts)
- [Variations](https://invoke-ai.github.io/InvokeAI/features/VARIATIONS/)
- [Personalizing Text-to-Image Generation](https://invoke-ai.github.io/InvokeAI/features/TEXTUAL_INVERSION/)
- [Simplified API for text to image generation](https://invoke-ai.github.io/InvokeAI/features/OTHER/#simplified-api)
### *Command Line Interface*
#### Other Features
For users utilizing a terminal-based environment, or who want to take advantage of CLI features, InvokeAI offers an extensive and actively supported command-line interface that provides the full suite of generation functionality available in the tool.
### Other features
- *Support for both ckpt and diffusers models*
- *SD 2.0, 2.1 support*
- *Noise Control & Tresholding*
- *Popular Sampler Support*
- *Upscaling & Face Restoration Tools*
- *Embedding Manager & Support*
- *Model Manager & Support*
### Coming Soon
- *Node-Based Architecture & UI*
- And more...
- [Google Colab](https://invoke-ai.github.io/InvokeAI/features/OTHER/#google-colab)
- [Seamless Tiling](https://invoke-ai.github.io/InvokeAI/features/OTHER/#seamless-tiling)
- [Shortcut: Reusing Seeds](https://invoke-ai.github.io/InvokeAI/features/OTHER/#shortcuts-reusing-seeds)
- [Preload Models](https://invoke-ai.github.io/InvokeAI/features/OTHER/#preload-models)
### Latest Changes
For our latest changes, view our [Release
Notes](https://github.com/invoke-ai/InvokeAI/releases) and the
[CHANGELOG](docs/CHANGELOG.md).
For our latest changes, view our [Release Notes](https://github.com/invoke-ai/InvokeAI/releases)
## Troubleshooting
### Troubleshooting
Please check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation
problems and other issues.
## Contributing
# Contributing
Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
cleanup, testing, or code reviews, is very much encouraged to do so.
To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.
If you'd like to help with translation, please see our [translation guide](docs/other/TRANSLATION.md).
If you are unfamiliar with how
to contribute to GitHub projects, here is a
[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the "main" branch**.
[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the "main" branch**.
We hope you enjoy using our software as much as we enjoy creating it,
and we hope that some of those of you who are reading this will elect
@ -277,11 +181,15 @@ This fork is a combined effort of various people from across the world.
[Check out the list of all these amazing people](https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/). We thank them for
their time, hard work and effort.
Thanks to [Weblate](https://weblate.org/) for generously providing translation services to this project.
### Support
For support, please use this repository's GitHub Issues tracking service, or join the Discord.
For support, please use this repository's GitHub Issues tracking service. Feel free to send me an
email if you use and like the script.
Original portions of the software are Copyright (c) 2023 by respective contributors.
Original portions of the software are Copyright (c) 2022
[Lincoln D. Stein](https://github.com/lstein)
### Further Reading
Please see the original README for more information on this software and underlying algorithm,
located in the file [README-CompViz.md](https://invoke-ai.github.io/InvokeAI/other/README-CompViz/).

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from backend.modules.parse_seed_weights import parse_seed_weights
import argparse
SAMPLER_CHOICES = [
"ddim",
"k_dpm_2_a",
"k_dpm_2",
"k_dpmpp_2_a",
"k_dpmpp_2",
"k_euler_a",
"k_euler",
"k_heun",
"k_lms",
"plms",
]
def parameters_to_command(params):
"""
Converts dict of parameters into a `invoke.py` REPL command.
"""
switches = list()
if "prompt" in params:
switches.append(f'"{params["prompt"]}"')
if "steps" in params:
switches.append(f'-s {params["steps"]}')
if "seed" in params:
switches.append(f'-S {params["seed"]}')
if "width" in params:
switches.append(f'-W {params["width"]}')
if "height" in params:
switches.append(f'-H {params["height"]}')
if "cfg_scale" in params:
switches.append(f'-C {params["cfg_scale"]}')
if "sampler_name" in params:
switches.append(f'-A {params["sampler_name"]}')
if "seamless" in params and params["seamless"] == True:
switches.append(f"--seamless")
if "hires_fix" in params and params["hires_fix"] == True:
switches.append(f"--hires")
if "init_img" in params and len(params["init_img"]) > 0:
switches.append(f'-I {params["init_img"]}')
if "init_mask" in params and len(params["init_mask"]) > 0:
switches.append(f'-M {params["init_mask"]}')
if "init_color" in params and len(params["init_color"]) > 0:
switches.append(f'--init_color {params["init_color"]}')
if "strength" in params and "init_img" in params:
switches.append(f'-f {params["strength"]}')
if "fit" in params and params["fit"] == True:
switches.append(f"--fit")
if "facetool" in params:
switches.append(f'-ft {params["facetool"]}')
if "facetool_strength" in params and params["facetool_strength"]:
switches.append(f'-G {params["facetool_strength"]}')
elif "gfpgan_strength" in params and params["gfpgan_strength"]:
switches.append(f'-G {params["gfpgan_strength"]}')
if "codeformer_fidelity" in params:
switches.append(f'-cf {params["codeformer_fidelity"]}')
if "upscale" in params and params["upscale"]:
switches.append(f'-U {params["upscale"][0]} {params["upscale"][1]}')
if "variation_amount" in params and params["variation_amount"] > 0:
switches.append(f'-v {params["variation_amount"]}')
if "with_variations" in params:
seed_weight_pairs = ",".join(
f"{seed}:{weight}" for seed, weight in params["with_variations"]
)
switches.append(f"-V {seed_weight_pairs}")
return " ".join(switches)

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@echo off
@rem This script will install git (if not found on the PATH variable)
@rem using micromamba (an 8mb static-linked single-file binary, conda replacement).
@rem For users who already have git, this step will be skipped.
@rem Next, it'll download the project's source code.
@rem Then it will download a self-contained, standalone Python and unpack it.
@rem Finally, it'll create the Python virtual environment and preload the models.
@rem This enables a user to install this project without manually installing git or Python
@rem change to the script's directory
PUSHD "%~dp0"
set "no_cache_dir=--no-cache-dir"
if "%1" == "use-cache" (
set "no_cache_dir="
)
echo ***** Installing InvokeAI.. *****
@rem Config
set INSTALL_ENV_DIR=%cd%\installer_files\env
@rem https://mamba.readthedocs.io/en/latest/installation.html
set MICROMAMBA_DOWNLOAD_URL=https://github.com/cmdr2/stable-diffusion-ui/releases/download/v1.1/micromamba.exe
set RELEASE_URL=https://github.com/invoke-ai/InvokeAI
set RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
set PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
set PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-x86_64-pc-windows-msvc-shared-install_only.tar.gz
set PACKAGES_TO_INSTALL=
call git --version >.tmp1 2>.tmp2
if "%ERRORLEVEL%" NEQ "0" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% git
@rem Cleanup
del /q .tmp1 .tmp2
@rem (if necessary) install git into a contained environment
if "%PACKAGES_TO_INSTALL%" NEQ "" (
@rem download micromamba
echo ***** Downloading micromamba from %MICROMAMBA_DOWNLOAD_URL% to micromamba.exe *****
call curl -L "%MICROMAMBA_DOWNLOAD_URL%" > micromamba.exe
@rem test the mamba binary
echo ***** Micromamba version: *****
call micromamba.exe --version
@rem create the installer env
if not exist "%INSTALL_ENV_DIR%" (
call micromamba.exe create -y --prefix "%INSTALL_ENV_DIR%"
)
echo ***** Packages to install:%PACKAGES_TO_INSTALL% *****
call micromamba.exe install -y --prefix "%INSTALL_ENV_DIR%" -c conda-forge %PACKAGES_TO_INSTALL%
if not exist "%INSTALL_ENV_DIR%" (
echo ----- There was a problem while installing "%PACKAGES_TO_INSTALL%" using micromamba. Cannot continue. -----
pause
exit /b
)
)
del /q micromamba.exe
@rem For 'git' only
set PATH=%INSTALL_ENV_DIR%\Library\bin;%PATH%
@rem Download/unpack/clean up InvokeAI release sourceball
set err_msg=----- InvokeAI source download failed -----
echo Trying to download "%RELEASE_URL%%RELEASE_SOURCEBALL%"
curl -L %RELEASE_URL%%RELEASE_SOURCEBALL% --output InvokeAI.tgz
if %errorlevel% neq 0 goto err_exit
set err_msg=----- InvokeAI source unpack failed -----
tar -zxf InvokeAI.tgz
if %errorlevel% neq 0 goto err_exit
del /q InvokeAI.tgz
set err_msg=----- InvokeAI source copy failed -----
cd InvokeAI-*
xcopy . .. /e /h
if %errorlevel% neq 0 goto err_exit
cd ..
@rem cleanup
for /f %%i in ('dir /b InvokeAI-*') do rd /s /q %%i
rd /s /q .dev_scripts .github docker-build tests
del /q requirements.in requirements-mkdocs.txt shell.nix
echo ***** Unpacked InvokeAI source *****
@rem Download/unpack/clean up python-build-standalone
set err_msg=----- Python download failed -----
curl -L %PYTHON_BUILD_STANDALONE_URL%/%PYTHON_BUILD_STANDALONE% --output python.tgz
if %errorlevel% neq 0 goto err_exit
set err_msg=----- Python unpack failed -----
tar -zxf python.tgz
if %errorlevel% neq 0 goto err_exit
del /q python.tgz
echo ***** Unpacked python-build-standalone *****
@rem create venv
set err_msg=----- problem creating venv -----
.\python\python -E -s -m venv .venv
if %errorlevel% neq 0 goto err_exit
call .venv\Scripts\activate.bat
echo ***** Created Python virtual environment *****
@rem Print venv's Python version
set err_msg=----- problem calling venv's python -----
echo We're running under
.venv\Scripts\python --version
if %errorlevel% neq 0 goto err_exit
set err_msg=----- pip update failed -----
.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location --upgrade pip wheel
if %errorlevel% neq 0 goto err_exit
echo ***** Updated pip and wheel *****
set err_msg=----- requirements file copy failed -----
copy binary_installer\py3.10-windows-x86_64-cuda-reqs.txt requirements.txt
if %errorlevel% neq 0 goto err_exit
set err_msg=----- main pip install failed -----
.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location -r requirements.txt
if %errorlevel% neq 0 goto err_exit
echo ***** Installed Python dependencies *****
set err_msg=----- InvokeAI setup failed -----
.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location -e .
if %errorlevel% neq 0 goto err_exit
copy binary_installer\invoke.bat.in .\invoke.bat
echo ***** Installed invoke launcher script ******
@rem more cleanup
rd /s /q binary_installer installer_files
@rem preload the models
call .venv\Scripts\python scripts\configure_invokeai.py
set err_msg=----- model download clone failed -----
if %errorlevel% neq 0 goto err_exit
deactivate
echo ***** Finished downloading models *****
echo All done! Execute the file invoke.bat in this directory to start InvokeAI
pause
exit
:err_exit
echo %err_msg%
pause
exit

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#!/usr/bin/env bash
# ensure we're in the correct folder in case user's CWD is somewhere else
scriptdir=$(dirname "$0")
cd "$scriptdir"
set -euo pipefail
IFS=$'\n\t'
function _err_exit {
if test "$1" -ne 0
then
echo -e "Error code $1; Error caught was '$2'"
read -p "Press any key to exit..."
exit
fi
}
# This script will install git (if not found on the PATH variable)
# using micromamba (an 8mb static-linked single-file binary, conda replacement).
# For users who already have git, this step will be skipped.
# Next, it'll download the project's source code.
# Then it will download a self-contained, standalone Python and unpack it.
# Finally, it'll create the Python virtual environment and preload the models.
# This enables a user to install this project without manually installing git or Python
echo -e "\n***** Installing InvokeAI into $(pwd)... *****\n"
export no_cache_dir="--no-cache-dir"
if [ $# -ge 1 ]; then
if [ "$1" = "use-cache" ]; then
export no_cache_dir=""
fi
fi
OS_NAME=$(uname -s)
case "${OS_NAME}" in
Linux*) OS_NAME="linux";;
Darwin*) OS_NAME="darwin";;
*) echo -e "\n----- Unknown OS: $OS_NAME! This script runs only on Linux or macOS -----\n" && exit
esac
OS_ARCH=$(uname -m)
case "${OS_ARCH}" in
x86_64*) ;;
arm64*) ;;
*) echo -e "\n----- Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64 -----\n" && exit
esac
# https://mamba.readthedocs.io/en/latest/installation.html
MAMBA_OS_NAME=$OS_NAME
MAMBA_ARCH=$OS_ARCH
if [ "$OS_NAME" == "darwin" ]; then
MAMBA_OS_NAME="osx"
fi
if [ "$OS_ARCH" == "linux" ]; then
MAMBA_ARCH="aarch64"
fi
if [ "$OS_ARCH" == "x86_64" ]; then
MAMBA_ARCH="64"
fi
PY_ARCH=$OS_ARCH
if [ "$OS_ARCH" == "arm64" ]; then
PY_ARCH="aarch64"
fi
# Compute device ('cd' segment of reqs files) detect goes here
# This needs a ton of work
# Suggestions:
# - lspci
# - check $PATH for nvidia-smi, gtt CUDA/GPU version from output
# - Surely there's a similar utility for AMD?
CD="cuda"
if [ "$OS_NAME" == "darwin" ] && [ "$OS_ARCH" == "arm64" ]; then
CD="mps"
fi
# config
INSTALL_ENV_DIR="$(pwd)/installer_files/env"
MICROMAMBA_DOWNLOAD_URL="https://micro.mamba.pm/api/micromamba/${MAMBA_OS_NAME}-${MAMBA_ARCH}/latest"
RELEASE_URL=https://github.com/invoke-ai/InvokeAI
RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
if [ "$OS_NAME" == "darwin" ]; then
PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-apple-darwin-install_only.tar.gz
elif [ "$OS_NAME" == "linux" ]; then
PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-unknown-linux-gnu-install_only.tar.gz
fi
echo "INSTALLING $RELEASE_SOURCEBALL FROM $RELEASE_URL"
PACKAGES_TO_INSTALL=""
if ! hash "git" &>/dev/null; then PACKAGES_TO_INSTALL="$PACKAGES_TO_INSTALL git"; fi
# (if necessary) install git and conda into a contained environment
if [ "$PACKAGES_TO_INSTALL" != "" ]; then
# download micromamba
echo -e "\n***** Downloading micromamba from $MICROMAMBA_DOWNLOAD_URL to micromamba *****\n"
curl -L "$MICROMAMBA_DOWNLOAD_URL" | tar -xvjO bin/micromamba > micromamba
chmod u+x ./micromamba
# test the mamba binary
echo -e "\n***** Micromamba version: *****\n"
./micromamba --version
# create the installer env
if [ ! -e "$INSTALL_ENV_DIR" ]; then
./micromamba create -y --prefix "$INSTALL_ENV_DIR"
fi
echo -e "\n***** Packages to install:$PACKAGES_TO_INSTALL *****\n"
./micromamba install -y --prefix "$INSTALL_ENV_DIR" -c conda-forge "$PACKAGES_TO_INSTALL"
if [ ! -e "$INSTALL_ENV_DIR" ]; then
echo -e "\n----- There was a problem while initializing micromamba. Cannot continue. -----\n"
exit
fi
fi
rm -f micromamba.exe
export PATH="$INSTALL_ENV_DIR/bin:$PATH"
# Download/unpack/clean up InvokeAI release sourceball
_err_msg="\n----- InvokeAI source download failed -----\n"
curl -L $RELEASE_URL/$RELEASE_SOURCEBALL --output InvokeAI.tgz
_err_exit $? _err_msg
_err_msg="\n----- InvokeAI source unpack failed -----\n"
tar -zxf InvokeAI.tgz
_err_exit $? _err_msg
rm -f InvokeAI.tgz
_err_msg="\n----- InvokeAI source copy failed -----\n"
cd InvokeAI-*
cp -r . ..
_err_exit $? _err_msg
cd ..
# cleanup
rm -rf InvokeAI-*/
rm -rf .dev_scripts/ .github/ docker-build/ tests/ requirements.in requirements-mkdocs.txt shell.nix
echo -e "\n***** Unpacked InvokeAI source *****\n"
# Download/unpack/clean up python-build-standalone
_err_msg="\n----- Python download failed -----\n"
curl -L $PYTHON_BUILD_STANDALONE_URL/$PYTHON_BUILD_STANDALONE --output python.tgz
_err_exit $? _err_msg
_err_msg="\n----- Python unpack failed -----\n"
tar -zxf python.tgz
_err_exit $? _err_msg
rm -f python.tgz
echo -e "\n***** Unpacked python-build-standalone *****\n"
# create venv
_err_msg="\n----- problem creating venv -----\n"
if [ "$OS_NAME" == "darwin" ]; then
# patch sysconfig so that extensions can build properly
# adapted from https://github.com/cashapp/hermit-packages/commit/fcba384663892f4d9cfb35e8639ff7a28166ee43
PYTHON_INSTALL_DIR="$(pwd)/python"
SYSCONFIG="$(echo python/lib/python*/_sysconfigdata_*.py)"
TMPFILE="$(mktemp)"
chmod +w "${SYSCONFIG}"
cp "${SYSCONFIG}" "${TMPFILE}"
sed "s,'/install,'${PYTHON_INSTALL_DIR},g" "${TMPFILE}" > "${SYSCONFIG}"
rm -f "${TMPFILE}"
fi
./python/bin/python3 -E -s -m venv .venv
_err_exit $? _err_msg
source .venv/bin/activate
echo -e "\n***** Created Python virtual environment *****\n"
# Print venv's Python version
_err_msg="\n----- problem calling venv's python -----\n"
echo -e "We're running under"
.venv/bin/python3 --version
_err_exit $? _err_msg
_err_msg="\n----- pip update failed -----\n"
.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location --upgrade pip
_err_exit $? _err_msg
echo -e "\n***** Updated pip *****\n"
_err_msg="\n----- requirements file copy failed -----\n"
cp binary_installer/py3.10-${OS_NAME}-"${OS_ARCH}"-${CD}-reqs.txt requirements.txt
_err_exit $? _err_msg
_err_msg="\n----- main pip install failed -----\n"
.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -r requirements.txt
_err_exit $? _err_msg
echo -e "\n***** Installed Python dependencies *****\n"
_err_msg="\n----- InvokeAI setup failed -----\n"
.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -e .
_err_exit $? _err_msg
echo -e "\n***** Installed InvokeAI *****\n"
cp binary_installer/invoke.sh.in ./invoke.sh
chmod a+rx ./invoke.sh
echo -e "\n***** Installed invoke launcher script ******\n"
# more cleanup
rm -rf binary_installer/ installer_files/
# preload the models
.venv/bin/python3 scripts/configure_invokeai.py
_err_msg="\n----- model download clone failed -----\n"
_err_exit $? _err_msg
deactivate
echo -e "\n***** Finished downloading models *****\n"
echo "All done! Run the command"
echo " $scriptdir/invoke.sh"
echo "to start InvokeAI."
read -p "Press any key to exit..."
exit

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@echo off
PUSHD "%~dp0"
call .venv\Scripts\activate.bat
echo Do you want to generate images using the
echo 1. command-line
echo 2. browser-based UI
echo OR
echo 3. open the developer console
set /p choice="Please enter 1, 2 or 3: "
if /i "%choice%" == "1" (
echo Starting the InvokeAI command-line.
.venv\Scripts\python scripts\invoke.py %*
) else if /i "%choice%" == "2" (
echo Starting the InvokeAI browser-based UI.
.venv\Scripts\python scripts\invoke.py --web %*
) else if /i "%choice%" == "3" (
echo Developer Console
echo Python command is:
where python
echo Python version is:
python --version
echo *************************
echo You are now in the system shell, with the local InvokeAI Python virtual environment activated,
echo so that you can troubleshoot this InvokeAI installation as necessary.
echo *************************
echo *** Type `exit` to quit this shell and deactivate the Python virtual environment ***
call cmd /k
) else (
echo Invalid selection
pause
exit /b
)
deactivate

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#!/usr/bin/env sh
set -eu
. .venv/bin/activate
# set required env var for torch on mac MPS
if [ "$(uname -s)" == "Darwin" ]; then
export PYTORCH_ENABLE_MPS_FALLBACK=1
fi
echo "Do you want to generate images using the"
echo "1. command-line"
echo "2. browser-based UI"
echo "OR"
echo "3. open the developer console"
echo "Please enter 1, 2, or 3:"
read choice
case $choice in
1)
printf "\nStarting the InvokeAI command-line..\n";
.venv/bin/python scripts/invoke.py $*;
;;
2)
printf "\nStarting the InvokeAI browser-based UI..\n";
.venv/bin/python scripts/invoke.py --web $*;
;;
3)
printf "\nDeveloper Console:\n";
printf "Python command is:\n\t";
which python;
printf "Python version is:\n\t";
python --version;
echo "*************************"
echo "You are now in your user shell ($SHELL) with the local InvokeAI Python virtual environment activated,";
echo "so that you can troubleshoot this InvokeAI installation as necessary.";
printf "*************************\n"
echo "*** Type \`exit\` to quit this shell and deactivate the Python virtual environment *** ";
/usr/bin/env "$SHELL";
;;
*)
echo "Invalid selection";
exit
;;
esac

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InvokeAI
Project homepage: https://github.com/invoke-ai/InvokeAI
Installation on Windows:
NOTE: You might need to enable Windows Long Paths. If you're not sure,
then you almost certainly need to. Simply double-click the 'WinLongPathsEnabled.reg'
file. Note that you will need to have admin privileges in order to
do this.
Please double-click the 'install.bat' file (while keeping it inside the invokeAI folder).
Installation on Linux and Mac:
Please open the terminal, and run './install.sh' (while keeping it inside the invokeAI folder).
After installation, please run the 'invoke.bat' file (on Windows) or 'invoke.sh'
file (on Linux/Mac) to start InvokeAI.

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--prefer-binary
--extra-index-url https://download.pytorch.org/whl/torch_stable.html
--extra-index-url https://download.pytorch.org/whl/cu116
--trusted-host https://download.pytorch.org
accelerate~=0.14
albumentations
diffusers
eventlet
flask_cors
flask_socketio
flaskwebgui==1.0.3
getpass_asterisk
imageio-ffmpeg
pyreadline3
realesrgan
send2trash
streamlit
taming-transformers-rom1504
test-tube
torch-fidelity
torch==1.12.1 ; platform_system == 'Darwin'
torch==1.12.0+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
torchvision==0.13.1 ; platform_system == 'Darwin'
torchvision==0.13.0+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
transformers
picklescan
https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip
https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip
https://github.com/invoke-ai/GFPGAN/archive/3f5d2397361199bc4a91c08bb7d80f04d7805615.zip ; platform_system=='Windows'
https://github.com/invoke-ai/GFPGAN/archive/c796277a1cf77954e5fc0b288d7062d162894248.zip ; platform_system=='Linux' or platform_system=='Darwin'
https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip
https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip

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stable-diffusion-1.5:
description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
repo_id: runwayml/stable-diffusion-v1-5
config: v1-inference.yaml
file: v1-5-pruned-emaonly.ckpt
recommended: true
width: 512
height: 512
inpainting-1.5:
description: RunwayML SD 1.5 model optimized for inpainting (4.27 GB)
repo_id: runwayml/stable-diffusion-inpainting
config: v1-inpainting-inference.yaml
file: sd-v1-5-inpainting.ckpt
recommended: True
width: 512
height: 512
ft-mse-improved-autoencoder-840000:
description: StabilityAI improved autoencoder fine-tuned for human faces (recommended; 335 MB)
repo_id: stabilityai/sd-vae-ft-mse-original
config: VAE/default
file: vae-ft-mse-840000-ema-pruned.ckpt
recommended: True
width: 512
height: 512
stable-diffusion-1.4:
description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
repo_id: CompVis/stable-diffusion-v-1-4-original
config: v1-inference.yaml
file: sd-v1-4.ckpt
recommended: False
width: 512
height: 512
waifu-diffusion-1.3:
description: Stable Diffusion 1.4 fine tuned on anime-styled images (4.27 GB)
repo_id: hakurei/waifu-diffusion-v1-3
config: v1-inference.yaml
file: model-epoch09-float32.ckpt
recommended: False
width: 512
height: 512
trinart-2.0:
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
config: v1-inference.yaml
file: trinart2_step95000.ckpt
recommended: False
width: 512
height: 512
trinart_characters-1.0:
description: An SD model finetuned with 19.2M anime/manga style images (2.13 GB)
repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
config: v1-inference.yaml
file: trinart_characters_it4_v1.ckpt
recommended: False
width: 512
height: 512
trinart_vae:
description: Custom autoencoder for trinart_characters
repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
config: VAE/trinart
file: autoencoder_fix_kl-f8-trinart_characters.ckpt
recommended: False
width: 512
height: 512
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
config: v1-inference.yaml
file: PaperCut_v1.ckpt
recommended: False
width: 512
height: 512
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
recommended: False
width: 512
height: 512

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# This file describes the alternative machine learning models
# available to InvokeAI script.
#
# To add a new model, follow the examples below. Each
# model requires a model config file, a weights file,
# and the width and height of the images it
# was trained on.
stable-diffusion-1.5:
description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
weights: models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
config: configs/stable-diffusion/v1-inference.yaml
width: 512
height: 512
vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
default: true
stable-diffusion-1.4:
description: Stable Diffusion inference model version 1.4
config: configs/stable-diffusion/v1-inference.yaml
weights: models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
width: 512
height: 512
inpainting-1.5:
weights: models/ldm/stable-diffusion-v1/sd-v1-5-inpainting.ckpt
config: configs/stable-diffusion/v1-inpainting-inference.yaml
vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
description: RunwayML SD 1.5 model optimized for inpainting
width: 512
height: 512

803
configs/sd-concepts.txt Normal file
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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

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FROM python:3.10-slim AS builder
# use bash
SHELL [ "/bin/bash", "-c" ]
# Install necesarry packages
RUN apt-get update \
&& apt-get install -y \
--no-install-recommends \
gcc=4:10.2.* \
libgl1-mesa-glx=20.3.* \
libglib2.0-0=2.66.* \
python3-dev=3.9.* \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# set WORKDIR, PATH and copy sources
ARG APPDIR=/usr/src/app
WORKDIR ${APPDIR}
ENV PATH ${APPDIR}/.venv/bin:$PATH
ARG PIP_REQUIREMENTS=requirements-lin-cuda.txt
COPY . ./environments-and-requirements/${PIP_REQUIREMENTS} ./
# install requirements
RUN python3 -m venv .venv \
&& pip install \
--upgrade \
--no-cache-dir \
'wheel>=0.38.4' \
&& pip install \
--no-cache-dir \
-r ${PIP_REQUIREMENTS}
FROM python:3.10-slim AS runtime
# setup environment
ARG APPDIR=/usr/src/app
WORKDIR ${APPDIR}
COPY --from=builder ${APPDIR} .
ENV \
PATH=${APPDIR}/.venv/bin:$PATH \
INVOKEAI_ROOT=/data \
INVOKE_MODEL_RECONFIGURE=--yes
# Install necesarry packages
RUN apt-get update \
&& apt-get install -y \
--no-install-recommends \
build-essential=12.9 \
libgl1-mesa-glx=20.3.* \
libglib2.0-0=2.66.* \
libopencv-dev=4.5.* \
&& ln -sf \
/usr/lib/"$(arch)"-linux-gnu/pkgconfig/opencv4.pc \
/usr/lib/"$(arch)"-linux-gnu/pkgconfig/opencv.pc \
&& python3 -c "from patchmatch import patch_match" \
&& apt-get remove -y \
--autoremove \
build-essential \
&& apt-get autoclean \
&& rm -rf /var/lib/apt/lists/*
# set Entrypoint and default CMD
ENTRYPOINT [ "python3", "scripts/invoke.py" ]
CMD [ "--web", "--host=0.0.0.0" ]

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#######################
#### Builder stage ####
FROM library/ubuntu:22.04 AS builder
ARG DEBIAN_FRONTEND=noninteractive
RUN rm -f /etc/apt/apt.conf.d/docker-clean; echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt,sharing=locked \
apt update && apt-get install -y \
git \
libglib2.0-0 \
libgl1-mesa-glx \
python3-venv \
python3-pip \
build-essential \
python3-opencv \
libopencv-dev
# This is needed for patchmatch support
RUN cd /usr/lib/x86_64-linux-gnu/pkgconfig/ &&\
ln -sf opencv4.pc opencv.pc
ARG WORKDIR=/invokeai
WORKDIR ${WORKDIR}
ENV VIRTUAL_ENV=${WORKDIR}/.venv
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m venv ${VIRTUAL_ENV} &&\
pip install --extra-index-url https://download.pytorch.org/whl/cu116 \
torch==1.12.0+cu116 \
torchvision==0.13.0+cu116 &&\
pip install -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.3#egg=pypatchmatch
COPY . .
RUN --mount=type=cache,target=/root/.cache/pip \
cp environments-and-requirements/requirements-lin-cuda.txt requirements.txt && \
pip install -r requirements.txt &&\
pip install -e .
#######################
#### Runtime stage ####
FROM library/ubuntu:22.04 as runtime
ARG DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt,sharing=locked \
apt update && apt install -y --no-install-recommends \
git \
curl \
ncdu \
iotop \
bzip2 \
libglib2.0-0 \
libgl1-mesa-glx \
python3-venv \
python3-pip \
build-essential \
python3-opencv \
libopencv-dev &&\
apt-get clean && apt-get autoclean
ARG WORKDIR=/invokeai
WORKDIR ${WORKDIR}
ENV INVOKEAI_ROOT=/mnt/invokeai
ENV VIRTUAL_ENV=${WORKDIR}/.venv
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
COPY --from=builder ${WORKDIR} ${WORKDIR}
COPY --from=builder /usr/lib/x86_64-linux-gnu/pkgconfig /usr/lib/x86_64-linux-gnu/pkgconfig
# build patchmatch
RUN python -c "from patchmatch import patch_match"
## workaround for non-existent initfile when runtime directory is mounted; see #1613
RUN touch /root/.invokeai
ENTRYPOINT ["bash"]
CMD ["-c", "python3 scripts/invoke.py --web --host 0.0.0.0"]

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# Directory in the container where the INVOKEAI_ROOT (runtime dir) will be mounted
INVOKEAI_ROOT=/mnt/invokeai
# Host directory to contain the runtime dir. Will be mounted at INVOKEAI_ROOT path in the container
HOST_MOUNT_PATH=${HOME}/invokeai
IMAGE=local/invokeai:latest
USER=$(shell id -u)
GROUP=$(shell id -g)
# All downloaded models, config, etc will end up in ${HOST_MOUNT_PATH} on the host.
# This is consistent with the expected non-Docker behaviour.
# Contents can be moved to a persistent storage and used to prime the cache on another host.
build:
DOCKER_BUILDKIT=1 docker build -t local/invokeai:latest -f Dockerfile.cloud ..
configure:
docker run --rm -it --runtime=nvidia --gpus=all \
-v ${HOST_MOUNT_PATH}:${INVOKEAI_ROOT} \
-e INVOKEAI_ROOT=${INVOKEAI_ROOT} \
${IMAGE} -c "python scripts/configure_invokeai.py"
# Run the container with the runtime dir mounted and the web server exposed on port 9090
web:
docker run --rm -it --runtime=nvidia --gpus=all \
-v ${HOST_MOUNT_PATH}:${INVOKEAI_ROOT} \
-e INVOKEAI_ROOT=${INVOKEAI_ROOT} \
-p 9090:9090 \
${IMAGE} -c "python scripts/invoke.py --web --host 0.0.0.0"
# Run the cli with the runtime dir mounted
cli:
docker run --rm -it --runtime=nvidia --gpus=all \
-v ${HOST_MOUNT_PATH}:${INVOKEAI_ROOT} \
-e INVOKEAI_ROOT=${INVOKEAI_ROOT} \
${IMAGE} -c "python scripts/invoke.py"
# Run the container with the runtime dir mounted and open a bash shell
shell:
docker run --rm -it --runtime=nvidia --gpus=all \
-v ${HOST_MOUNT_PATH}:${INVOKEAI_ROOT} ${IMAGE} --
.PHONY: build configure web cli shell

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