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18 Commits

Author SHA1 Message Date
5057beddf5 bump rc# 2022-12-30 12:53:25 +00:00
ade9bbe185 rebuild frontend 2022-12-30 12:52:43 +00:00
83df5c211c create_installer now adds version number 2022-12-29 14:37:01 +00:00
75f07dd22e Merge branch 'main' into lstein-release-candidate-2-2-5 2022-12-29 09:01:08 -05:00
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
2175 changed files with 85680 additions and 202831 deletions

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@ -20,13 +20,13 @@ def calc_images_mean_L1(image1_path, image2_path):
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("image1_path")
parser.add_argument("image2_path")
parser.add_argument('image1_path')
parser.add_argument('image2_path')
args = parser.parse_args()
return args
if __name__ == "__main__":
if __name__ == '__main__':
args = parse_args()
mean_L1 = calc_images_mean_L1(args.image1_path, args.image2_path)
print(mean_L1)

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@ -1,9 +1,19 @@
*
!invokeai
!pyproject.toml
!docker/docker-entrypoint.sh
!LICENSE
!backend
!environments-and-requirements
!frontend
!ldm
!main.py
!scripts
!server
!static
!setup.py
# Guard against pulling in any models that might exist in the directory tree
**/*.pt*
# unignore configs, but only ignore the custom models.yaml, in case it exists
!configs
configs/models.yaml
**/node_modules
**/__pycache__
**/*.egg-info

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@ -1,2 +0,0 @@
b3dccfaeb636599c02effc377cdd8a87d658256c
218b6d0546b990fc449c876fb99f44b50c4daa35

1
.gitattributes vendored
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@ -2,4 +2,3 @@
# Only affects text files and ignores other file types.
# For more info see: https://www.aleksandrhovhannisyan.com/blog/crlf-vs-lf-normalizing-line-endings-in-git/
* text=auto
docker/** text eol=lf

39
.github/CODEOWNERS vendored
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@ -1,32 +1,7 @@
# continuous integration
/.github/workflows/ @lstein @blessedcoolant @hipsterusername @ebr
# documentation
/docs/ @lstein @blessedcoolant @hipsterusername @Millu
/mkdocs.yml @lstein @blessedcoolant @hipsterusername @Millu
# nodes
/invokeai/app/ @Kyle0654 @blessedcoolant @psychedelicious @brandonrising @hipsterusername
# installation and configuration
/pyproject.toml @lstein @blessedcoolant @hipsterusername
/docker/ @lstein @blessedcoolant @hipsterusername @ebr
/scripts/ @ebr @lstein @hipsterusername
/installer/ @lstein @ebr @hipsterusername
/invokeai/assets @lstein @ebr @hipsterusername
/invokeai/configs @lstein @hipsterusername
/invokeai/version @lstein @blessedcoolant @hipsterusername
# web ui
/invokeai/frontend @blessedcoolant @psychedelicious @lstein @maryhipp @hipsterusername
/invokeai/backend @blessedcoolant @psychedelicious @lstein @maryhipp @hipsterusername
# generation, model management, postprocessing
/invokeai/backend @damian0815 @lstein @blessedcoolant @gregghelt2 @StAlKeR7779 @brandonrising @ryanjdick @hipsterusername
# front ends
/invokeai/frontend/CLI @lstein @hipsterusername
/invokeai/frontend/install @lstein @ebr @hipsterusername
/invokeai/frontend/merge @lstein @blessedcoolant @hipsterusername
/invokeai/frontend/training @lstein @blessedcoolant @hipsterusername
/invokeai/frontend/web @psychedelicious @blessedcoolant @maryhipp @hipsterusername
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

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@ -6,6 +6,10 @@ title: '[bug]: '
labels: ['bug']
# assignees:
# - moderator_bot
# - lstein
body:
- type: markdown
attributes:
@ -14,9 +18,10 @@ body:
- type: checkboxes
attributes:
label: Is there an existing issue for this problem?
label: Is there an existing issue for this?
description: |
Please [search](https://github.com/invoke-ai/InvokeAI/issues) first to see if an issue already exists for the problem.
Please use the [search function](https://github.com/invoke-ai/InvokeAI/issues?q=is%3Aissue+is%3Aopen+label%3Abug)
irst to see if an issue already exists for the bug you encountered.
options:
- label: I have searched the existing issues
required: true
@ -28,119 +33,70 @@ body:
- type: dropdown
id: os_dropdown
attributes:
label: Operating system
description: Your computer's operating system.
label: OS
description: Which operating System did you use when the bug occured
multiple: false
options:
- 'Linux'
- 'Windows'
- 'macOS'
- 'other'
validations:
required: true
- type: dropdown
id: gpu_dropdown
attributes:
label: GPU vendor
description: Your GPU's vendor.
label: GPU
description: Which kind of Graphic-Adapter is your System using
multiple: false
options:
- 'Nvidia (CUDA)'
- 'AMD (ROCm)'
- 'Apple Silicon (MPS)'
- 'None (CPU)'
- 'cuda'
- 'amd'
- 'mps'
- 'cpu'
validations:
required: true
- type: input
id: gpu_model
attributes:
label: GPU model
description: Your GPU's model. If on Apple Silicon, this is your Mac's chip. Leave blank if on CPU.
placeholder: ex. RTX 2080 Ti, Mac M1 Pro
validations:
required: false
- type: input
id: vram
attributes:
label: GPU VRAM
description: Your GPU's VRAM. If on Apple Silicon, this is your Mac's unified memory. Leave blank if on CPU.
label: VRAM
description: Size of the VRAM if known
placeholder: 8GB
validations:
required: false
- type: input
id: version-number
attributes:
label: Version number
description: |
The version of Invoke you have installed. If it is not the latest version, please update and try again to confirm the issue still exists. If you are testing main, please include the commit hash instead.
placeholder: ex. 3.6.1
validations:
required: true
- type: input
id: browser-version
attributes:
label: Browser
description: Your web browser and version.
placeholder: ex. Firefox 123.0b3
validations:
required: true
- type: textarea
id: python-deps
attributes:
label: Python dependencies
description: |
If the problem occurred during image generation, click the gear icon at the bottom left corner, click "About", click the copy button and then paste here.
validations:
required: false
- type: textarea
id: what-happened
attributes:
label: What happened
label: What happened?
description: |
Describe what happened. Include any relevant error messages, stack traces and screenshots here.
placeholder: I clicked button X and then Y happened.
Briefly describe what happened, what you expected to happen and how to reproduce this bug.
placeholder: When using the webinterface and right-clicking on button X instead of the popup-menu there error Y appears
validations:
required: true
- type: textarea
id: what-you-expected
attributes:
label: What you expected to happen
description: Describe what you expected to happen.
placeholder: I expected Z to happen.
validations:
required: true
- type: textarea
id: how-to-repro
attributes:
label: How to reproduce the problem
description: List steps to reproduce the problem.
placeholder: Start the app, generate an image with these settings, then click button X.
label: Screenshots
description: If applicable, add screenshots to help explain your problem
placeholder: this is what the result looked like <screenshot>
validations:
required: false
- type: textarea
id: additional-context
attributes:
label: Additional context
description: Any other context that might help us to understand the problem.
description: Add any other context about the problem here
placeholder: Only happens when there is full moon and Friday the 13th on Christmas Eve 🎅🏻
validations:
required: false
- type: input
id: discord-username
id: contact
attributes:
label: Discord username
description: If you are on the Invoke discord and would prefer to be contacted there, please provide your username.
placeholder: supercoolusername123
label: Contact Details
description: __OPTIONAL__ How can we get in touch with you if we need more info (besides this issue)?
placeholder: ex. email@example.com, discordname, twitter, ...
validations:
required: false

View File

@ -1,5 +1,5 @@
name: Feature Request
description: Contribute a idea or request a new feature
description: Commit a idea or Request a new feature
title: '[enhancement]: '
labels: ['enhancement']
# assignees:
@ -9,14 +9,14 @@ body:
- type: markdown
attributes:
value: |
Thanks for taking the time to fill out this feature request!
Thanks for taking the time to fill out this Feature request!
- type: checkboxes
attributes:
label: Is there an existing issue for this?
description: |
Please make use of the [search function](https://github.com/invoke-ai/InvokeAI/labels/enhancement)
to see if a similar issue already exists for the feature you want to request
to see if a simmilar issue already exists for the feature you want to request
options:
- label: I have searched the existing issues
required: true
@ -34,9 +34,12 @@ body:
id: whatisexpected
attributes:
label: What should this feature add?
description: Explain the functionality this feature should add. Feature requests should be for single features. Please create multiple requests if you want to request multiple features.
description: Please try to explain the functionality this feature should add
placeholder: |
I'd like a button that creates an image of banana sushi every time I press it. Each image should be different. There should be a toggle next to the button that enables strawberry mode, in which the images are of strawberry sushi instead.
Instead of one huge textfield, it would be nice to have forms for bug-reports, feature-requests, ...
Great benefits with automatic labeling, assigning and other functionalitys not available in that form
via old-fashioned markdown-templates. I would also love to see the use of a moderator bot 🤖 like
https://github.com/marketplace/actions/issue-moderator-with-commands to auto close old issues and other things
validations:
required: true
@ -48,6 +51,6 @@ body:
- type: textarea
attributes:
label: Additional Content
label: Aditional Content
description: Add any other context or screenshots about the feature request here.
placeholder: This is a mockup of the design how I imagine it <screenshot>
placeholder: This is a Mockup of the design how I imagine it <screenshot>

59
.github/pr_labels.yml vendored
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@ -1,59 +0,0 @@
Root:
- changed-files:
- any-glob-to-any-file: '*'
PythonDeps:
- changed-files:
- any-glob-to-any-file: 'pyproject.toml'
Python:
- changed-files:
- all-globs-to-any-file:
- 'invokeai/**'
- '!invokeai/frontend/web/**'
PythonTests:
- changed-files:
- any-glob-to-any-file: 'tests/**'
CICD:
- changed-files:
- any-glob-to-any-file: .github/**
Docker:
- changed-files:
- any-glob-to-any-file: docker/**
Installer:
- changed-files:
- any-glob-to-any-file: installer/**
Documentation:
- changed-files:
- any-glob-to-any-file: docs/**
Invocations:
- changed-files:
- any-glob-to-any-file: 'invokeai/app/invocations/**'
Backend:
- changed-files:
- any-glob-to-any-file: 'invokeai/backend/**'
Api:
- changed-files:
- any-glob-to-any-file: 'invokeai/app/api/**'
Services:
- changed-files:
- any-glob-to-any-file: 'invokeai/app/services/**'
FrontendDeps:
- changed-files:
- any-glob-to-any-file:
- '**/*/package.json'
- '**/*/pnpm-lock.yaml'
Frontend:
- changed-files:
- any-glob-to-any-file: 'invokeai/frontend/web/**'

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@ -1,66 +0,0 @@
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [ ] Yes
- [ ] No
## Description
## Related Tickets & Documents
<!--
For pull requests that relate or close an issue, please include them
below.
For example having the text: "closes #1234" would connect the current pull
request to issue 1234. And when we merge the pull request, Github will
automatically close the issue.
-->
- Related Issue #
- Closes #
## QA Instructions, Screenshots, Recordings
<!--
Please provide steps on how to test changes, any hardware or
software specifications as well as any other pertinent information.
-->
## Merge Plan
<!--
A merge plan describes how this PR should be handled after it is approved.
Example merge plans:
- "This PR can be merged when approved"
- "This must be squash-merged when approved"
- "DO NOT MERGE - I will rebase and tidy commits before merging"
- "#dev-chat on discord needs to be advised of this change when it is merged"
A merge plan is particularly important for large PRs or PRs that touch the
database in any way.
-->
## Added/updated tests?
- [ ] Yes
- [ ] No : _please replace this line with details on why tests
have not been included_
## [optional] Are there any post deployment tasks we need to perform?

19
.github/stale.yaml vendored
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@ -1,19 +0,0 @@
# Number of days of inactivity before an issue becomes stale
daysUntilStale: 28
# Number of days of inactivity before a stale issue is closed
daysUntilClose: 14
# Issues with these labels will never be considered stale
exemptLabels:
- pinned
- security
# Label to use when marking an issue as stale
staleLabel: stale
# Comment to post when marking an issue as stale. Set to `false` to disable
markComment: >
This issue has been automatically marked as stale because it has not had
recent activity. It will be closed if no further activity occurs. Please
update the ticket if this is still a problem on the latest release.
# Comment to post when closing a stale issue. Set to `false` to disable
closeComment: >
Due to inactivity, this issue has been automatically closed. If this is
still a problem on the latest release, please recreate the issue.

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 }}

View File

@ -3,118 +3,72 @@ on:
push:
branches:
- 'main'
paths:
- 'pyproject.toml'
- '.dockerignore'
- 'invokeai/**'
- 'docker/Dockerfile'
- 'docker/docker-entrypoint.sh'
- 'workflows/build-container.yml'
tags:
- 'v*'
workflow_dispatch:
permissions:
contents: write
packages: write
jobs:
docker:
if: github.event.pull_request.draft == false
strategy:
fail-fast: false
matrix:
gpu-driver:
- cuda
- cpu
- rocm
registry:
- ghcr.io
flavor:
- amd
- cuda
# - cloud
include:
- flavor: amd
pip-requirements: requirements-lin-amd.txt
dockerfile: docker-build/Dockerfile
platforms: linux/amd64,linux/arm64
- flavor: cuda
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.gpu-driver }}
env:
# torch/arm64 does not support GPU currently, so arm64 builds
# would not be GPU-accelerated.
# re-enable arm64 if there is sufficient demand.
# PLATFORMS: 'linux/amd64,linux/arm64'
PLATFORMS: 'linux/amd64'
name: ${{ matrix.flavor }}
steps:
- name: Free up more disk space on the runner
# https://github.com/actions/runner-images/issues/2840#issuecomment-1284059930
run: |
echo "----- Free space before cleanup"
df -h
sudo rm -rf /usr/share/dotnet
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
sudo swapoff /mnt/swapfile
sudo rm -rf /mnt/swapfile
echo "----- Free space after cleanup"
df -h
- 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 }}
${{ env.DOCKERHUB_REPOSITORY }}
images: ${{ matrix.registry }}/${{ github.repository }}-${{ matrix.flavor }}
tags: |
type=ref,event=branch
type=ref,event=tag
type=pep440,pattern={{version}}
type=pep440,pattern={{major}}.{{minor}}
type=pep440,pattern={{major}}
type=sha,enable=true,prefix=sha-,format=short
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=sha
flavor: |
latest=${{ matrix.gpu-driver == 'cuda' && github.ref == 'refs/heads/main' }}
suffix=-${{ matrix.gpu-driver }},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
timeout-minutes: 40
id: docker_build
uses: docker/build-push-action@v4
uses: docker/build-push-action@v3
with:
context: .
file: docker/Dockerfile
platforms: ${{ env.PLATFORMS }}
push: ${{ github.ref == 'refs/heads/main' || github.ref_type == 'tag' }}
file: ${{ matrix.dockerfile }}
platforms: ${{ matrix.platforms }}
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: |
type=gha,scope=${{ github.ref_name }}-${{ matrix.gpu-driver }}
type=gha,scope=main-${{ matrix.gpu-driver }}
cache-to: type=gha,mode=max,scope=${{ github.ref_name }}-${{ matrix.gpu-driver }}
# - 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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@ -1,28 +0,0 @@
name: Close inactive issues
on:
schedule:
- cron: "00 4 * * *"
env:
DAYS_BEFORE_ISSUE_STALE: 30
DAYS_BEFORE_ISSUE_CLOSE: 14
jobs:
close-issues:
runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
steps:
- uses: actions/stale@v8
with:
days-before-issue-stale: ${{ env.DAYS_BEFORE_ISSUE_STALE }}
days-before-issue-close: ${{ env.DAYS_BEFORE_ISSUE_CLOSE }}
stale-issue-label: "Inactive Issue"
stale-issue-message: "There has been no activity in this issue for ${{ env.DAYS_BEFORE_ISSUE_STALE }} days. If this issue is still being experienced, please reply with an updated confirmation that the issue is still being experienced with the latest release."
close-issue-message: "Due to inactivity, this issue was automatically closed. If you are still experiencing the issue, please recreate the issue."
days-before-pr-stale: -1
days-before-pr-close: -1
exempt-issue-labels: "Active Issue"
repo-token: ${{ secrets.GITHUB_TOKEN }}
operations-per-run: 500

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@ -1,16 +0,0 @@
name: "Pull Request Labeler"
on:
- pull_request_target
jobs:
labeler:
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- uses: actions/labeler@v5
with:
configuration-path: .github/pr_labels.yml

View File

@ -2,44 +2,27 @@ name: Lint frontend
on:
pull_request:
types:
- 'ready_for_review'
- 'opened'
- 'synchronize'
paths:
- 'frontend/**'
push:
branches:
- 'main'
merge_group:
workflow_dispatch:
paths:
- 'frontend/**'
defaults:
run:
working-directory: invokeai/frontend/web
working-directory: frontend
jobs:
lint-frontend:
if: github.event.pull_request.draft == false
runs-on: ubuntu-22.04
steps:
- name: Setup Node 18
uses: actions/setup-node@v4
uses: actions/setup-node@v3
with:
node-version: '18'
- name: Checkout
uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v2
with:
version: '8.12.1'
- name: Install dependencies
run: 'pnpm install --prefer-frozen-lockfile'
- name: Typescript
run: 'pnpm run lint:tsc'
- name: Madge
run: 'pnpm run lint:dpdm'
- name: ESLint
run: 'pnpm run lint:eslint'
- name: Prettier
run: 'pnpm run lint:prettier'
- name: Knip
run: 'pnpm run lint:knip'
- uses: actions/checkout@v3
- run: 'yarn install --frozen-lockfile'
- run: 'yarn tsc'
- run: 'yarn run madge'
- run: 'yarn run lint --max-warnings=0'
- run: 'yarn run prettier --check'

View File

@ -2,19 +2,12 @@ name: mkdocs-material
on:
push:
branches:
- 'refs/heads/main'
permissions:
contents: write
- 'main'
- 'development'
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
@ -25,15 +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: |

19
.github/workflows/pyflakes.yml vendored Normal file
View File

@ -0,0 +1,19 @@
on:
pull_request:
push:
branches:
- main
- development
- 'release-candidate-*'
jobs:
pyflakes:
name: runner / pyflakes
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: pyflakes
uses: reviewdog/action-pyflakes@v1
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
reporter: github-pr-review

View File

@ -1,67 +0,0 @@
name: PyPI Release
on:
workflow_dispatch:
inputs:
publish_package:
description: 'Publish build on PyPi? [true/false]'
required: true
default: 'false'
jobs:
build-and-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
uses: actions/checkout@v4
- name: Setup Node 18
uses: actions/setup-node@v4
with:
node-version: '18'
- name: Setup pnpm
uses: pnpm/action-setup@v2
with:
version: '8.12.1'
- name: Install frontend dependencies
run: pnpm install --prefer-frozen-lockfile
working-directory: invokeai/frontend/web
- name: Build frontend
run: pnpm run build
working-directory: invokeai/frontend/web
- name: Install python dependencies
run: pip install --upgrade build twine
- name: Build python package
run: python3 -m build
- name: Upload build as workflow artifact
uses: actions/upload-artifact@v4
with:
name: dist
path: dist
- name: Check distribution
run: twine check dist/*
- name: Check PyPI versions
if: github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/heads/release/')
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: Publish build on PyPi
if: env.PACKAGE_EXISTS == 'False' && env.TWINE_PASSWORD != '' && github.event.inputs.publish_package == 'true'
run: twine upload dist/*

View File

@ -1,24 +0,0 @@
name: style checks
on:
pull_request:
push:
branches: main
jobs:
ruff:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Setup Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Install dependencies with pip
run: |
pip install ruff
- run: ruff check --output-format=github .
- run: ruff format --check .

161
.github/workflows/test-invoke-conda.yml vendored Normal file
View File

@ -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

View File

@ -4,126 +4,141 @@ on:
branches:
- 'main'
pull_request:
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_7
- linux-rocm-5_2
- linux-cpu
- macos-default
- windows-cpu
include:
- 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
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: ${{ matrix.os }}
env:
PIP_USE_PEP517: '1'
steps:
- name: Checkout sources
id: checkout-sources
uses: actions/checkout@v3
- name: Check for changed python files
id: changed-files
uses: tj-actions/changed-files@v41
with:
files_yaml: |
python:
- 'pyproject.toml'
- 'invokeai/**'
- '!invokeai/frontend/web/**'
- 'tests/**'
- name: set INVOKEAI_ROOT Windows
if: matrix.os == 'windows-2022'
run: |
echo "INVOKEAI_ROOT=${{ 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: steps.changed-files.outputs.python_any_changed == 'true'
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" >> ${{ matrix.github-env }}
- name: create requirements.txt
run: cp 'environments-and-requirements/${{ matrix.requirements-file }}' '${{ matrix.requirements-file }}'
- name: setup python
if: steps.changed-files.outputs.python_any_changed == 'true'
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: pyproject.toml
# cache: 'pip'
# cache-dependency-path: ${{ matrix.requirements-file }}
- name: install invokeai
if: steps.changed-files.outputs.python_any_changed == 'true'
- name: install dependencies
run: pip3 install --upgrade pip setuptools wheel
- name: install requirements
run: pip3 install -r '${{ 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
if: steps.changed-files.outputs.python_any_changed == 'true'
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: run invokeai-configure
# env:
# HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }}
# run: >
# invokeai-configure
# --yes
# --default_only
# --full-precision
# # can't use fp16 weights without a GPU
- name: run configure_invokeai.py
id: run-preload-models
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
# INVOKEAI_OUTDIR: ${{ github.workspace }}/results
# run: >
# invokeai
# --no-patchmatch
# --no-nsfw_checker
# --precision=float32
# --always_use_cpu
# --use_memory_db
# --outdir ${{ env.INVOKEAI_OUTDIR }}/${{ matrix.python-version }}/${{ matrix.pytorch }}
# --from_file ${{ env.TEST_PROMPTS }}
- 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
# env:
# INVOKEAI_OUTDIR: ${{ github.workspace }}/results
# uses: actions/upload-artifact@v3
# with:
# name: results
# path: ${{ env.INVOKEAI_OUTDIR }}
- name: Archive results
id: archive-results
if: matrix.os != 'windows-2022'
uses: actions/upload-artifact@v3
with:
name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
path: ${{ env.INVOKEAI_ROOT }}/outputs

64
.gitignore vendored
View File

@ -1,4 +1,18 @@
.idea/
# ignore default image save location and model symbolic link
outputs/
models/ldm/stable-diffusion-v1/model.ckpt
**/restoration/codeformer/weights
# ignore user models config
configs/models.user.yaml
config/models.user.yml
invokeai.init
# ignore the Anaconda/Miniconda installer used while building Docker image
anaconda.sh
# ignore a directory which serves as a place for initial images
inputs/
# Byte-compiled / optimized / DLL files
__pycache__/
@ -20,6 +34,7 @@ dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
@ -46,21 +61,16 @@ pip-delete-this-directory.txt
htmlcov/
.tox/
.nox/
.coveragerc
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
cov.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
.pytest.ini
cover/
junit/
notes/
# Translations
*.mo
@ -133,10 +143,12 @@ celerybeat.pid
# Environments
.env
.venv*
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
@ -169,17 +181,46 @@ cython_debug/
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
src
**/__pycache__/
outputs
# Logs and associated folders
# created from generated embeddings.
logs
testtube
checkpoints
# If it's a Mac
.DS_Store
# Let the frontend manage its own gitignore
!invokeai/frontend/web/*
!frontend/*
# Scratch folder
.scratch/
.vscode/
gfpgan/
models/ldm/stable-diffusion-v1/*.sha256
# GFPGAN model files
gfpgan/
# config file (will be created by installer)
configs/models.yaml
# weights (will be created by installer)
models/ldm/stable-diffusion-v1/*.ckpt
models/clipseg
models/gfpgan
# ignore initfile
.invokeai
# ignore environment.yml and requirements.txt
# these are links to the real files in environments-and-requirements
environment.yml
requirements.txt
# source installer files
installer/*zip
@ -187,4 +228,9 @@ installer/install.bat
installer/install.sh
installer/update.bat
installer/update.sh
installer/InvokeAI-Installer/
# this may be present if the user created a venv
invokeai
# no longer stored in source directory
models

View File

@ -1,24 +0,0 @@
# See https://pre-commit.com/ for usage and config
repos:
- repo: local
hooks:
- id: black
name: black
stages: [commit]
language: system
entry: black
types: [python]
- id: flake8
name: flake8
stages: [commit]
language: system
entry: flake8
types: [python]
- id: isort
name: isort
stages: [commit]
language: system
entry: isort
types: [python]

189
LICENSE
View File

@ -1,176 +1,21 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
MIT License
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
Copyright (c) 2022 InvokeAI Team
1. Definitions.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
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the Work or Derivative Works thereof, You may choose to offer,
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or other liability obligations and/or rights consistent with this
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on Your own behalf and on Your sole responsibility, not on behalf
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incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View File

@ -1,290 +0,0 @@
Copyright (c) 2023 Stability AI
CreativeML Open RAIL++-M License dated July 26, 2023
Section I: PREAMBLE
Multimodal generative models are being widely adopted and used, and
have the potential to transform the way artists, among other
individuals, conceive and benefit from AI or ML technologies as a tool
for content creation.
Notwithstanding the current and potential benefits that these
artifacts can bring to society at large, there are also concerns about
potential misuses of them, either due to their technical limitations
or ethical considerations.
In short, this license strives for both the open and responsible
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to be able to enforce the license in case potential misuses of the
Model may occur. At the same time, we strive to promote open and
responsible research on generative models for art and content
generation.
Even though downstream derivative versions of the model could be
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to include - at minimum - the same use-based restrictions as the ones
in the original license (this license). We believe in the intersection
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to strike a balance between both in order to enable responsible
open-science in the field of AI.
This CreativeML Open RAIL++-M License governs the use of the model
(and its derivatives) and is informed by the model card associated
with the model.
NOW THEREFORE, You and Licensor agree as follows:
Definitions
"License" means the terms and conditions for use, reproduction, and
Distribution as defined in this document.
"Data" means a collection of information and/or content extracted from
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Section II: INTELLECTUAL PROPERTY RIGHTS
Both copyright and patent grants apply to the Model, Derivatives of
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You a perpetual, worldwide, non-exclusive, no-charge, royalty-free,
irrevocable (except as stated in this paragraph) patent license to
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transfer the Model and the Complementary Material, where such license
applies only to those patent claims licensable by such Contributor
that are necessarily infringed by their Contribution(s) alone or by
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Contribution(s) was submitted. If You institute patent litigation
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Material constitutes direct or contributory patent infringement, then
any patent licenses granted to You under this License for the Model
and/or Work shall terminate as of the date such litigation is asserted
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Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
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conditions: Use-based restrictions as referenced in paragraph 5 MUST
be included as an enforceable provision by You in any type of legal
agreement (e.g. a license) governing the use and/or distribution of
the Model or Derivatives of the Model, and You shall give notice to
subsequent users You Distribute to, that the Model or Derivatives of
the Model are subject to paragraph 5. This provision does not apply to
the use of Complementary Material. You must give any Third Party
recipients of the Model or Derivatives of the Model a copy of this
License; You must cause any modified files to carry prominent notices
stating that You changed the files; You must retain all copyright,
patent, trademark, and attribution notices excluding those notices
that do not pertain to any part of the Model, Derivatives of the
Model. You may add Your own copyright statement to Your modifications
and may provide additional or different license terms and conditions -
respecting paragraph 4.a. - for use, reproduction, or Distribution of
Your modifications, or for any such Derivatives of the Model as a
whole, provided Your use, reproduction, and Distribution of the Model
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Use-based restrictions. The restrictions set forth in Attachment A are
considered Use-based restrictions. Therefore You cannot use the Model
and the Derivatives of the Model for the specified restricted
uses. You may use the Model subject to this License, including only
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include creating any content with, finetuning, updating, running,
training, evaluating and/or reparametrizing the Model. You shall
require all of Your users who use the Model or a Derivative of the
Model to comply with the terms of this paragraph (paragraph 5).
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no rights in the Output You generate using the Model. You are
accountable for the Output you generate and its subsequent uses. No
use of the output can contravene any provision as stated in the
License.
Section IV: OTHER PROVISIONS
Updates and Runtime Restrictions. To the maximum extent permitted by
law, Licensor reserves the right to restrict (remotely or otherwise)
usage of the Model in violation of this License.
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use of Licensors trademarks, trade names, logos or to otherwise
suggest endorsement or misrepresent the relationship between the
parties; and any rights not expressly granted herein are reserved by
the Licensors.
Disclaimer of Warranty. Unless required by applicable law or agreed to
in writing, Licensor provides the Model and the Complementary Material
(and each Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Model, Derivatives of
the Model, and the Complementary Material and assume any risks
associated with Your exercise of permissions under this License.
Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise, unless
required by applicable law (such as deliberate and grossly negligent
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consequential damages of any character arising as a result of this
License or out of the use or inability to use the Model and the
Complementary Material (including but not limited to damages for loss
of goodwill, work stoppage, computer failure or malfunction, or any
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responsibility, not on behalf of any other Contributor, and only if
You agree to indemnify, defend, and hold each Contributor harmless for
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If any provision of this License is held to be invalid, illegal or
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END OF TERMS AND CONDITIONS
Attachment A
Use Restrictions
You agree not to use the Model or Derivatives of the Model:
* In any way that violates any applicable national, federal, state,
local or international law or regulation;
* For the purpose of exploiting, harming or attempting to exploit or
harm minors in any way;
* To generate or disseminate verifiably false information and/or
content with the purpose of harming others;
* To generate or disseminate personal identifiable information that
can be used to harm an individual;
* To defame, disparage or otherwise harass others;
* For fully automated decision making that adversely impacts an
individuals legal rights or otherwise creates or modifies a
binding, enforceable obligation;
* For any use intended to or which has the effect of discriminating
against or harming individuals or groups based on online or offline
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* To exploit any of the vulnerabilities of a specific group of persons
based on their age, social, physical or mental characteristics, in
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* For any use intended to or which has the effect of discriminating
against individuals or groups based on legally protected
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* To provide medical advice and medical results interpretation;
* To generate or disseminate information for the purpose to be used
for administration of justice, law enforcement, immigration or
asylum processes, such as predicting an individual will commit
fraud/crime commitment (e.g. by text profiling, drawing causal
relationships between assertions made in documents, indiscriminate
and arbitrarily-targeted use).

View File

@ -1,63 +0,0 @@
# simple Makefile with scripts that are otherwise hard to remember
# to use, run from the repo root `make <command>`
default: help
help:
@echo Developer commands:
@echo
@echo "ruff Run ruff, fixing any safely-fixable errors and formatting"
@echo "ruff-unsafe Run ruff, fixing all fixable errors and formatting"
@echo "mypy Run mypy using the config in pyproject.toml to identify type mismatches and other coding errors"
@echo "mypy-all Run mypy ignoring the config in pyproject.tom but still ignoring missing imports"
@echo "test" Run the unit tests.
@echo "frontend-install" Install the pnpm modules needed for the front end
@echo "frontend-build Build the frontend in order to run on localhost:9090"
@echo "frontend-dev Run the frontend in developer mode on localhost:5173"
@echo "installer-zip Build the installer .zip file for the current version"
@echo "tag-release Tag the GitHub repository with the current version (use at release time only!)"
# Runs ruff, fixing any safely-fixable errors and formatting
ruff:
ruff check . --fix
ruff format .
# Runs ruff, fixing all errors it can fix and formatting
ruff-unsafe:
ruff check . --fix --unsafe-fixes
ruff format .
# Runs mypy, using the config in pyproject.toml
mypy:
mypy scripts/invokeai-web.py
# Runs mypy, ignoring the config in pyproject.toml but still ignoring missing (untyped) imports
# (many files are ignored by the config, so this is useful for checking all files)
mypy-all:
mypy scripts/invokeai-web.py --config-file= --ignore-missing-imports
# Run the unit tests
test:
pytest ./tests
# Install the pnpm modules needed for the front end
frontend-install:
rm -rf invokeai/frontend/web/node_modules
cd invokeai/frontend/web && pnpm install
# Build the frontend
frontend-build:
cd invokeai/frontend/web && pnpm build
# Run the frontend in dev mode
frontend-dev:
cd invokeai/frontend/web && pnpm dev
# Installer zip file
installer-zip:
cd installer && ./create_installer.sh
# Tag the release
tag-release:
cd installer && ./tag_release.sh

436
README.md
View File

@ -1,22 +1,21 @@
<div align="center">
![project hero](https://github.com/invoke-ai/InvokeAI/assets/31807370/6e3728c7-e90e-4711-905c-3b55844ff5be)
# Invoke - Professional Creative AI Tools for Visual Media
## To learn more about Invoke, or implement our Business solutions, visit [invoke.com](https://www.invoke.com/about)
![project logo](docs/assets/invoke_ai_banner.png)
# InvokeAI: A Stable Diffusion Toolkit
[![discord badge]][discord link]
[![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
@ -27,183 +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/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/issues">Bug Reports</a>]
[<a
href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion,
Ideas & Q&A</a>]
[<a
href="https://invoke-ai.github.io/InvokeAI/contributing/CONTRIBUTING/">Contributing</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>]
<div align="center">
_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._
# Getting Started with InvokeAI
For full installation and upgrade instructions, please see:
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
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`:
<div align="center"><img src="docs/assets/invoke-web-server-1.png" width=640></div>
![Highlighted Features - Canvas and Workflows](https://github.com/invoke-ai/InvokeAI/assets/31807370/708f7a82-084f-4860-bfbe-e2588c53548d)
</div>
## Table of Contents
Table of Contents 📝
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)
**Getting Started**
1. 🏁 [Quick Start](#quick-start)
3. 🖥️ [Hardware Requirements](#hardware-requirements)
**More About Invoke**
1. 🌟 [Features](#features)
2. 📣 [Latest Changes](#latest-changes)
3. 🛠️ [Troubleshooting](#troubleshooting)
**Supporting the Project**
1. 🤝 [Contributing](#contributing)
2. 👥 [Contributors](#contributors)
3. 💕 [Support](#support)
## Quick Start
For full installation and upgrade instructions, please see:
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALLATION/)
If upgrading from version 2.3, please read [Migrating a 2.3 root
directory to 3.0](#migrating-to-3) first.
### 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. **Windows:** double-click on the `install.bat` script. **macOS:** Open a Terminal window, drag the file `install.sh` from Finder
into the Terminal, and press return. **Linux:** run `install.sh`.
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 generation 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`.
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`
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 developers and users familiar with Terminals)
You must have Python 3.10 through 3.11 installed on your machine. Earlier or
later versions are not supported.
Node.js also needs to be installed along with `pnpm` (can be installed with
the command `npm install -g pnpm` if needed)
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/cu121
```
_For Linux with an AMD GPU:_
```sh
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.6
```
_For non-GPU systems:_
```terminal
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
```
_For Macintoshes, either Intel or M1/M2/M3:_
```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 --root .
```
Don't miss the dot at the end!
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
@ -211,205 +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/)
<a name="migrating-to-3"></a>
### Migrating a v2.3 InvokeAI root directory
The InvokeAI root directory is where the InvokeAI startup file,
installed models, and generated images are stored. It is ordinarily
named `invokeai` and located in your home directory. The contents and
layout of this directory has changed between versions 2.3 and 3.0 and
cannot be used directly.
We currently recommend that you use the installer to create a new root
directory named differently from the 2.3 one, e.g. `invokeai-3` and
then use a migration script to copy your 2.3 models into the new
location. However, if you choose, you can upgrade this directory in
place. This section gives both recipes.
#### Creating a new root directory and migrating old models
This is the safer recipe because it leaves your old root directory in
place to fall back on.
1. Follow the instructions above to create and install InvokeAI in a
directory that has a different name from the 2.3 invokeai directory.
In this example, we will use "invokeai-3"
2. When you are prompted to select models to install, select a minimal
set of models, such as stable-diffusion-v1.5 only.
3. After installation is complete launch `invokeai.sh` (Linux/Mac) or
`invokeai.bat` and select option 8 "Open the developers console". This
will take you to the command line.
4. Issue the command `invokeai-migrate3 --from /path/to/v2.3-root --to
/path/to/invokeai-3-root`. Provide the correct `--from` and `--to`
paths for your v2.3 and v3.0 root directories respectively.
This will copy and convert your old models from 2.3 format to 3.0
format and create a new `models` directory in the 3.0 directory. The
old models directory (which contains the models selected at install
time) will be renamed `models.orig` and can be deleted once you have
confirmed that the migration was successful.
If you wish, you can pass the 2.3 root directory to both `--from` and
`--to` in order to update in place. Warning: this directory will no
longer be usable with InvokeAI 2.3.
#### Migrating in place
For the adventurous, you may do an in-place upgrade from 2.3 to 3.0
without touching the command line. ***This recipe does not work on
Windows platforms due to a bug in the Windows version of the 2.3
upgrade script.** See the next section for a Windows recipe.
##### For Mac and Linux Users:
1. Launch the InvokeAI launcher script in your current v2.3 root directory.
2. Select option [9] "Update InvokeAI" to bring up the updater dialog.
3. Select option [1] to upgrade to the latest release.
4. Once the upgrade is finished you will be returned to the launcher
menu. Select option [6] "Re-run the configure script to fix a broken
install or to complete a major upgrade".
This will run the configure script against the v2.3 directory and
update it to the 3.0 format. The following files will be replaced:
- The invokeai.init file, replaced by invokeai.yaml
- The models directory
- The configs/models.yaml model index
The original versions of these files will be saved with the suffix
".orig" appended to the end. Once you have confirmed that the upgrade
worked, you can safely remove these files. Alternatively you can
restore a working v2.3 directory by removing the new files and
restoring the ".orig" files' original names.
##### For Windows Users:
Windows Users can upgrade with the
1. Enter the 2.3 root directory you wish to upgrade
2. Launch `invoke.sh` or `invoke.bat`
3. Select the "Developer's console" option [8]
4. Type the following commands
```
pip install "invokeai @ https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v3.0.0" --use-pep517 --upgrade
invokeai-configure --root .
```
(Replace `v3.0.0` with the current release number if this document is out of date).
The first command will install and upgrade new software to run
InvokeAI. The second will prepare the 2.3 directory for use with 3.0.
You may now launch the WebUI in the usual way, by selecting option [1]
from the launcher script
#### Migrating Images
The migration script will migrate your invokeai settings and models,
including textual inversion models, LoRAs and merges that you may have
installed previously. However it does **not** migrate the generated
images stored in your 2.3-format outputs directory. To do this, you
need to run an additional step:
1. From a working InvokeAI 3.0 root directory, start the launcher and
enter menu option [8] to open the "developer's console".
2. At the developer's console command line, type the command:
```bash
invokeai-import-images
```
3. This will lead you through the process of confirming the desired
source and destination for the imported images. The images will
appear in the gallery board of your choice, and contain the
original prompt, model name, and other parameters used to generate
the image.
(Many kudos to **techjedi** for contributing this script.)
## 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 wil need one of the following:
You will need one of the following:
- An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB
of VRAM is highly recommended for rendering using the Stable
Diffusion XL models
- 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), 6-8 GB for XL rendering.
We do not recommend the GTX 1650 or 1660 series video cards. They are
unable to run in half-precision mode and do not have sufficient VRAM
to render 512x512 images.
**Memory** - At least 12 GB Main Memory RAM.
#### Memory
**Disk** - At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.
- At least 12 GB Main Memory RAM.
## Features
#### Disk
Feature documentation can be reviewed by navigating to [the InvokeAI Documentation page](https://invoke-ai.github.io/InvokeAI/features/)
- At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.
### *Web Server & UI*
**Note**
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.
If you have a Nvidia 10xx series card (e.g. the 1080ti), please
run the dream script in full-precision mode as shown below.
### *Unified Canvas*
Similarly, specify full-precision mode on Apple M1 hardware.
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.
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
### *Workflows & Nodes*
```bash
(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32
```
Or by updating your InvokeAI configuration file with this argument.
InvokeAI offers a fully featured workflow management solution, enabling users to combine the power of nodes based workflows with the easy of a UI. This allows for customizable generation pipelines to be developed and shared by users looking to create specific workflows to support their production use-cases.
### Features
### *Board & Gallery Management*
#### Major Features
Invoke AI provides an organized gallery system for easily storing, accessing, and remixing your content in the Invoke workspace. Images can be dragged/dropped onto any Image-base UI element in the application, and rich metadata within the Image allows for easy recall of key prompts or settings used in your workflow.
- [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)
### Other features
- *Support for both ckpt and diffusers models*
- *SD 2.0, 2.1, XL support*
- *Upscaling Tools*
- *Embedding Manager & Support*
- *Model Manager & Support*
- *Workflow creation & management*
- *Node-Based Architecture*
#### Other Features
- [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
Please check out our **[Troubleshooting Guide](https://invoke-ai.github.io/InvokeAI/installation/010_INSTALL_AUTOMATED/#troubleshooting)** to get solutions for common installation
problems and other issues. For more help, please join our [Discord][discord link]
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.
Get started with contributing by reading our [Contribution documentation](https://invoke-ai.github.io/InvokeAI/contributing/CONTRIBUTING/), joining the [#dev-chat](https://discord.com/channels/1020123559063990373/1049495067846524939) or the GitHub discussion board.
To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.
If you are unfamiliar with how
to contribute to GitHub projects, we have a new contributor checklist you can follow to get started contributing:
[New Contributor Checklist](https://invoke-ai.github.io/InvokeAI/contributing/contribution_guides/newContributorChecklist/).
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**.
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
@ -425,7 +183,13 @@ their time, hard work and effort.
### Support
For support, please use this repository's GitHub Issues tracking service, or join the [Discord][discord link].
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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import argparse
import os
from ldm.invoke.args import PRECISION_CHOICES
def create_cmd_parser():
parser = argparse.ArgumentParser(description="InvokeAI web UI")
parser.add_argument(
"--host",
type=str,
help="The host to serve on",
default="localhost",
)
parser.add_argument("--port", type=int, help="The port to serve on", default=9090)
parser.add_argument(
"--cors",
nargs="*",
type=str,
help="Additional allowed origins, comma-separated",
)
parser.add_argument(
"--embedding_path",
type=str,
help="Path to a pre-trained embedding manager checkpoint - can only be set on command line",
)
# TODO: Can't get flask to serve images from any dir (saving to the dir does work when specified)
# parser.add_argument(
# "--output_dir",
# default="outputs/",
# type=str,
# help="Directory for output images",
# )
parser.add_argument(
"-v",
"--verbose",
action="store_true",
help="Enables verbose logging",
)
parser.add_argument(
"--precision",
dest="precision",
type=str,
choices=PRECISION_CHOICES,
metavar="PRECISION",
help=f'Set model precision. Defaults to auto selected based on device. Options: {", ".join(PRECISION_CHOICES)}',
default="auto",
)
parser.add_argument(
'--free_gpu_mem',
dest='free_gpu_mem',
action='store_true',
help='Force free gpu memory before final decoding',
)
return parser

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from PIL import Image, ImageChops
from PIL.Image import Image as ImageType
from typing import Union, Literal
# https://stackoverflow.com/questions/43864101/python-pil-check-if-image-is-transparent
def check_for_any_transparency(img: Union[ImageType, str]) -> bool:
if type(img) is str:
img = Image.open(str)
if img.info.get("transparency", None) is not None:
return True
if img.mode == "P":
transparent = img.info.get("transparency", -1)
for _, index in img.getcolors():
if index == transparent:
return True
elif img.mode == "RGBA":
extrema = img.getextrema()
if extrema[3][0] < 255:
return True
return False
def get_canvas_generation_mode(
init_img: Union[ImageType, str], init_mask: Union[ImageType, str]
) -> Literal["txt2img", "outpainting", "inpainting", "img2img",]:
if type(init_img) is str:
init_img = Image.open(init_img)
if type(init_mask) is str:
init_mask = Image.open(init_mask)
init_img = init_img.convert("RGBA")
# Get alpha from init_img
init_img_alpha = init_img.split()[-1]
init_img_alpha_mask = init_img_alpha.convert("L")
init_img_has_transparency = check_for_any_transparency(init_img)
if init_img_has_transparency:
init_img_is_fully_transparent = (
True if init_img_alpha_mask.getbbox() is None else False
)
"""
Mask images are white in areas where no change should be made, black where changes
should be made.
"""
# Fit the mask to init_img's size and convert it to greyscale
init_mask = init_mask.resize(init_img.size).convert("L")
"""
PIL.Image.getbbox() returns the bounding box of non-zero areas of the image, so we first
invert the mask image so that masked areas are white and other areas black == zero.
getbbox() now tells us if the are any masked areas.
"""
init_mask_bbox = ImageChops.invert(init_mask).getbbox()
init_mask_exists = False if init_mask_bbox is None else True
if init_img_has_transparency:
if init_img_is_fully_transparent:
return "txt2img"
else:
return "outpainting"
else:
if init_mask_exists:
return "inpainting"
else:
return "img2img"
def main():
# Testing
init_img_opaque = "test_images/init-img_opaque.png"
init_img_partial_transparency = "test_images/init-img_partial_transparency.png"
init_img_full_transparency = "test_images/init-img_full_transparency.png"
init_mask_no_mask = "test_images/init-mask_no_mask.png"
init_mask_has_mask = "test_images/init-mask_has_mask.png"
print(
"OPAQUE IMAGE, NO MASK, expect img2img, got ",
get_canvas_generation_mode(init_img_opaque, init_mask_no_mask),
)
print(
"IMAGE WITH TRANSPARENCY, NO MASK, expect outpainting, got ",
get_canvas_generation_mode(
init_img_partial_transparency, init_mask_no_mask
),
)
print(
"FULLY TRANSPARENT IMAGE NO MASK, expect txt2img, got ",
get_canvas_generation_mode(init_img_full_transparency, init_mask_no_mask),
)
print(
"OPAQUE IMAGE, WITH MASK, expect inpainting, got ",
get_canvas_generation_mode(init_img_opaque, init_mask_has_mask),
)
print(
"IMAGE WITH TRANSPARENCY, WITH MASK, expect outpainting, got ",
get_canvas_generation_mode(
init_img_partial_transparency, init_mask_has_mask
),
)
print(
"FULLY TRANSPARENT IMAGE WITH MASK, expect txt2img, got ",
get_canvas_generation_mode(init_img_full_transparency, init_mask_has_mask),
)
if __name__ == "__main__":
main()

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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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def parse_seed_weights(seed_weights):
"""
Accepts seed weights as string in "12345:0.1,23456:0.2,3456:0.3" format
Validates them
If valid: returns as [[12345, 0.1], [23456, 0.2], [3456, 0.3]]
If invalid: returns False
"""
# Must be a string
if not isinstance(seed_weights, str):
return False
# String must not be empty
if len(seed_weights) == 0:
return False
pairs = []
for pair in seed_weights.split(","):
split_values = pair.split(":")
# Seed and weight are required
if len(split_values) != 2:
return False
if len(split_values[0]) == 0 or len(split_values[1]) == 1:
return False
# Try casting the seed to int and weight to float
try:
seed = int(split_values[0])
weight = float(split_values[1])
except ValueError:
return False
# Seed must be 0 or above
if not seed >= 0:
return False
# Weight must be between 0 and 1
if not (weight >= 0 and weight <= 1):
return False
# This pair is valid
pairs.append([seed, weight])
# All pairs are valid
return pairs

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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

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