whoops

- Fix the ANSI escape codes for macOS
- Add check for python binary name to `tag_release.sh`
- Print `git remote -v` in `tag_release.sh`

.github/CODEOWNERS

@@ -1,5 +1,5 @@
 # continuous integration
-/.github/workflows/  @lstein @blessedcoolant @hipsterusername @ebr
+/.github/workflows/  @lstein @blessedcoolant @hipsterusername
 
 # documentation
 /docs/ @lstein @blessedcoolant @hipsterusername @Millu
@@ -10,7 +10,7 @@
 
 # installation and configuration
 /pyproject.toml  @lstein @blessedcoolant @hipsterusername
-/docker/  @lstein @blessedcoolant @hipsterusername @ebr
+/docker/  @lstein @blessedcoolant @hipsterusername
 /scripts/ @ebr @lstein @hipsterusername
 /installer/ @lstein @ebr @hipsterusername
 /invokeai/assets @lstein @ebr @hipsterusername
@@ -26,7 +26,9 @@
 
 # front ends
 /invokeai/frontend/CLI @lstein @hipsterusername
-/invokeai/frontend/install @lstein @ebr @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
+
+

.github/actions/install-frontend-deps/action.yml

@@ -0,0 +1,33 @@
+name: Install frontend dependencies
+description: Installs frontend dependencies with pnpm, with caching
+runs:
+  using: 'composite'
+  steps:
+    - name: Setup Node 18
+      uses: actions/setup-node@v4
+      with:
+        node-version: '18'
+
+    - name: Setup pnpm
+      uses: pnpm/action-setup@v2
+      with:
+        version: 8
+        run_install: false
+
+    - name: Get pnpm store directory
+      shell: bash
+      run: |
+        echo "STORE_PATH=$(pnpm store path --silent)" >> $GITHUB_ENV
+
+    - uses: actions/cache@v3
+      name: Setup pnpm cache
+      with:
+        path: ${{ env.STORE_PATH }}
+        key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }}
+        restore-keys: |
+          ${{ runner.os }}-pnpm-store-
+
+    - name: Install frontend dependencies
+      run: pnpm install --prefer-frozen-lockfile
+      shell: bash
+      working-directory: invokeai/frontend/web

.github/actions/install-python-deps/action.yml

@@ -0,0 +1,11 @@
+name: Install python dependencies
+description: Install python dependencies with pip, with caching
+runs:
+  using: 'composite'
+  steps:
+    - name: Setup python
+      uses: actions/setup-python@v5
+      with:
+        python-version: '3.10'
+        cache: pip
+        cache-dependency-path: pyproject.toml

.github/workflows/build-container.yml

@@ -11,7 +11,7 @@ on:
       - 'docker/docker-entrypoint.sh'
       - 'workflows/build-container.yml'
     tags:
-      - 'v*'
+      - 'v*.*.*'
   workflow_dispatch:
 
 permissions:
@@ -40,14 +40,10 @@ jobs:
       - 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
@@ -95,7 +91,6 @@ jobs:
       #     password: ${{ secrets.DOCKERHUB_TOKEN }}
 
       - name: Build container
-        timeout-minutes: 40
         id: docker_build
         uses: docker/build-push-action@v4
         with:

.github/workflows/check-frontend.yml

@@ -0,0 +1,34 @@
+name: 'Check: frontend'
+
+on:
+  workflow_dispatch:
+  workflow_call:
+
+defaults:
+  run:
+    working-directory: invokeai/frontend/web
+
+jobs:
+  check-frontend:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up frontend
+        uses: ./.github/actions/install-frontend-deps
+
+      - name: Run tsc check
+        run: 'pnpm run lint:tsc'
+        shell: bash
+
+      - name: Run madge check
+        run: 'pnpm run lint:madge'
+        shell: bash
+
+      - name: Run eslint check
+        run: 'pnpm run lint:eslint'
+        shell: bash
+
+      - name: Run prettier check
+        run: 'pnpm run lint:prettier'
+        shell: bash

.github/workflows/check-pytest.yml

@@ -1,15 +1,8 @@
-name: Test invoke.py pip
+name: 'Check: pytest'
+
 on:
-  push:
-    branches:
-      - 'main'
-  pull_request:
-    types:
-      - 'ready_for_review'
-      - 'opened'
-      - 'synchronize'
-  merge_group:
   workflow_dispatch:
+  workflow_call:
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
@@ -17,11 +10,9 @@ concurrency:
 
 jobs:
   matrix:
-    if: github.event.pull_request.draft == false
     strategy:
       matrix:
         python-version:
-          # - '3.9'
           - '3.10'
         pytorch:
           - linux-cuda-11_7
@@ -52,27 +43,12 @@ jobs:
     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@v37
-        with:
-          files_yaml: |
-            python:
-              - 'pyproject.toml'
-              - 'invokeai/**'
-              - '!invokeai/frontend/web/**'
-              - 'tests/**'
+      - uses: actions/checkout@v4
 
       - name: set test prompt to main branch validation
-        if: steps.changed-files.outputs.python_any_changed == 'true'
         run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }}
 
       - name: setup python
-        if: steps.changed-files.outputs.python_any_changed == 'true'
         uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
@@ -80,7 +56,6 @@ jobs:
           cache-dependency-path: pyproject.toml
 
       - name: install invokeai
-        if: steps.changed-files.outputs.python_any_changed == 'true'
         env:
           PIP_EXTRA_INDEX_URL: ${{ matrix.extra-index-url }}
         run: >
@@ -88,7 +63,6 @@ jobs:
           --editable=".[test]"
 
       - name: run pytest
-        if: steps.changed-files.outputs.python_any_changed == 'true'
         id: run-pytest
         run: pytest
 

.github/workflows/check-python.yml

@@ -0,0 +1,26 @@
+name: 'Check: python'
+
+on:
+  workflow_dispatch:
+  workflow_call:
+
+jobs:
+  check-backend:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install python dependencies
+        uses: ./.github/actions/install-python-deps
+
+      - name: Install ruff
+        run: pip install ruff
+        shell: bash
+
+      - name: Ruff check
+        run: ruff check --output-format=github .
+        shell: bash
+
+      - name: Ruff format
+        run: ruff format --check .
+        shell: bash

.github/workflows/lint-frontend.yml

@@ -1,43 +0,0 @@
-name: Lint frontend
-
-on:
-  pull_request:
-    types:
-      - 'ready_for_review'
-      - 'opened'
-      - 'synchronize'
-  push:
-    branches:
-      - 'main'
-  merge_group:
-  workflow_dispatch:
-
-defaults:
-  run:
-    working-directory: invokeai/frontend/web
-
-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
-        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:madge'
-      - name: ESLint
-        run: 'pnpm run lint:eslint'
-      - name: Prettier
-        run: 'pnpm run lint:prettier'

.github/workflows/on-change-check-frontend.yml

@@ -0,0 +1,34 @@
+name: 'On change: run check-frontend'
+
+on:
+  push:
+    branches:
+      - 'main'
+  pull_request:
+    types:
+      - 'ready_for_review'
+      - 'opened'
+      - 'synchronize'
+  merge_group:
+
+jobs:
+  check-changed-frontend-files:
+    if: github.event.pull_request.draft == false
+    runs-on: ubuntu-latest
+    outputs:
+      frontend_any_changed: ${{ steps.changed-files.outputs.frontend_any_changed }}
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Check for changed frontend files
+        id: changed-files
+        uses: tj-actions/changed-files@v40
+        with:
+          files_yaml: |
+            frontend:
+              - 'invokeai/frontend/web/**'
+
+  run-check-frontend:
+    needs: check-changed-frontend-files
+    if: ${{ needs.check-changed-frontend-files.outputs.frontend_any_changed == 'true' }}
+    uses: ./.github/workflows/check-frontend.yml

.github/workflows/on-change-check-python.yml

@@ -0,0 +1,37 @@
+name: 'On change: run check-python'
+
+on:
+  push:
+    branches:
+      - 'main'
+  pull_request:
+    types:
+      - 'ready_for_review'
+      - 'opened'
+      - 'synchronize'
+  merge_group:
+
+jobs:
+  check-changed-python-files:
+    if: github.event.pull_request.draft == false
+    runs-on: ubuntu-latest
+    outputs:
+      python_any_changed: ${{ steps.changed-files.outputs.python_any_changed }}
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Check for changed python files
+        id: changed-files
+        uses: tj-actions/changed-files@v40
+        with:
+          files_yaml: |
+            python:
+              - 'pyproject.toml'
+              - 'invokeai/**'
+              - '!invokeai/frontend/web/**'
+              - 'tests/**'
+
+  run-check-python:
+    needs: check-changed-python-files
+    if: ${{ needs.check-changed-python-files.outputs.python_any_changed == 'true' }}
+    uses: ./.github/workflows/check-python.yml

.github/workflows/on-change-pytest.yml

@@ -0,0 +1,37 @@
+name: 'On change: run pytest'
+
+on:
+  push:
+    branches:
+      - 'main'
+  pull_request:
+    types:
+      - 'ready_for_review'
+      - 'opened'
+      - 'synchronize'
+  merge_group:
+
+jobs:
+  check-changed-python-files:
+    if: github.event.pull_request.draft == false
+    runs-on: ubuntu-latest
+    outputs:
+      python_any_changed: ${{ steps.changed-files.outputs.python_any_changed }}
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Check for changed python files
+        id: changed-files
+        uses: tj-actions/changed-files@v40
+        with:
+          files_yaml: |
+            python:
+              - 'pyproject.toml'
+              - 'invokeai/**'
+              - '!invokeai/frontend/web/**'
+              - 'tests/**'
+
+  run-pytest:
+    needs: check-changed-python-files
+    if: ${{ needs.check-changed-python-files.outputs.python_any_changed == 'true' }}
+    uses: ./.github/workflows/check-pytest.yml

.github/workflows/release.yml

@@ -0,0 +1,103 @@
+name: Release
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'
+  workflow_dispatch:
+    inputs:
+      skip_code_checks:
+        description: 'Skip code checks'
+        required: true
+        default: true
+        type: boolean
+
+jobs:
+  check-version:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: samuelcolvin/check-python-version@v4
+        id: check-python-version
+        with:
+          version_file_path: invokeai/version/invokeai_version.py
+
+  check-frontend:
+    if: github.event.inputs.skip_code_checks != 'true'
+    uses: ./.github/workflows/check-frontend.yml
+
+  check-python:
+    if: github.event.inputs.skip_code_checks != 'true'
+    uses: ./.github/workflows/check-python.yml
+
+  check-pytest:
+    if: github.event.inputs.skip_code_checks != 'true'
+    uses: ./.github/workflows/check-pytest.yml
+
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install python dependencies
+        uses: ./.github/actions/install-python-deps
+
+      - name: Install pypa/build
+        run: pip install --upgrade build
+
+      - name: Setup frontend
+        uses: ./.github/actions/install-frontend-deps
+
+      - name: Run create_installer.sh
+        id: create_installer
+        run: ./create_installer.sh --skip_frontend_checks
+        working-directory: installer
+
+      - name: Upload python distribution artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist
+          path: ${{ steps.create_installer.outputs.DIST_PATH }}
+
+      - name: Upload installer artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: ${{ steps.create_installer.outputs.INSTALLER_FILENAME }}
+          path: ${{ steps.create_installer.outputs.INSTALLER_PATH }}
+
+  publish-testpypi:
+    runs-on: ubuntu-latest
+    needs: [check-version, check-frontend, check-python, check-pytest, build]
+    if: github.event_name != 'workflow_dispatch'
+    environment:
+      name: testpypi
+      url: https://test.pypi.org/p/invokeai
+    steps:
+      - name: Download distribution from build job
+        uses: actions/download-artifact@v4
+        with:
+          name: dist
+          path: dist/
+
+      - name: Publish distribution to TestPyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          repository-url: https://test.pypi.org/legacy/
+
+  publish-pypi:
+    runs-on: ubuntu-latest
+    needs: [check-version, check-frontend, check-python, check-pytest, build]
+    if: github.event_name != 'workflow_dispatch'
+    environment:
+      name: pypi
+      url: https://pypi.org/p/invokeai
+    steps:
+      - name: Download distribution from build job
+        uses: actions/download-artifact@v4
+        with:
+          name: dist
+          path: dist/
+
+      - name: Publish distribution to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1

.github/workflows/style-checks.yml

@@ -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 .

.prettierrc.yaml

@@ -7,7 +7,7 @@ embeddedLanguageFormatting: auto
 overrides:
   - files: '*.md'
     options:
-      proseWrap: always
+      proseWrap: preserve
       printWidth: 80
       parser: markdown
       cursorOffset: -1

README.md

@@ -1,10 +1,10 @@
 <div align="center">
 
-![project hero](https://github.com/invoke-ai/InvokeAI/assets/31807370/6e3728c7-e90e-4711-905c-3b55844ff5be)
+![project hero](https://github.com/invoke-ai/InvokeAI/assets/31807370/1a917d94-e099-4fa1-a70f-7dd8d0691018)
 
-# 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)
-  
+# Invoke AI - Generative AI for Professional Creatives
+## Professional Creative Tools for Stable Diffusion, Custom-Trained Models, and more. 
+  To learn more about Invoke AI, get started instantly, or implement our Business solutions, visit [invoke.ai](https://invoke.ai)
 
 
 [![discord badge]][discord link]
@@ -56,9 +56,7 @@ the foundation for multiple commercial products.
 
 <div align="center">
 
-
-![Highlighted Features - Canvas and Workflows](https://github.com/invoke-ai/InvokeAI/assets/31807370/708f7a82-084f-4860-bfbe-e2588c53548d)
-
+![canvas preview](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/canvas_preview.png)
 
 </div>
 

docker/.env.sample

@@ -2,17 +2,14 @@
 ## Any environment variables supported by InvokeAI can be specified here,
 ## in addition to the examples below.
 
-# HOST_INVOKEAI_ROOT is the path on the docker host's filesystem where InvokeAI will store data.
+# INVOKEAI_ROOT is the path to a path on the local filesystem where InvokeAI will store data.
 # Outputs will also be stored here by default.
-# If relative, it will be relative to the docker directory in which the docker-compose.yml file is located
-#HOST_INVOKEAI_ROOT=../../invokeai-data
-
-# INVOKEAI_ROOT is the path to the root of the InvokeAI repository within the container.
-# INVOKEAI_ROOT=~/invokeai
+# This **must** be an absolute path.
+INVOKEAI_ROOT=
 
 # Get this value from your HuggingFace account settings page.
 # HUGGING_FACE_HUB_TOKEN=
 
 ## optional variables specific to the docker setup.
-# GPU_DRIVER=nvidia #| rocm
+# GPU_DRIVER=cuda # or rocm
 # CONTAINER_UID=1000

docker/Dockerfile

@@ -59,7 +59,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
 
 # #### Build the Web UI ------------------------------------
 
-FROM node:20-slim AS web-builder
+FROM node:18-slim AS web-builder
 ENV PNPM_HOME="/pnpm"
 ENV PATH="$PNPM_HOME:$PATH"
 RUN corepack enable
@@ -68,7 +68,7 @@ WORKDIR /build
 COPY invokeai/frontend/web/ ./
 RUN --mount=type=cache,target=/pnpm/store \
     pnpm install --frozen-lockfile
-RUN npx vite build
+RUN pnpm run build
 
 #### Runtime stage ---------------------------------------
 

docker/README.md

@@ -1,14 +1,6 @@
 # InvokeAI Containerized
 
-All commands should be run within the `docker` directory: `cd docker`
-
-## Quickstart :rocket:
-
-On a known working Linux+Docker+CUDA (Nvidia) system, execute `./run.sh` in this directory. It will take a few minutes - depending on your internet speed - to install the core models. Once the application starts up, open `http://localhost:9090` in your browser to Invoke!
-
-For more configuration options (using an AMD GPU, custom root directory location, etc): read on.
-
-## Detailed setup
+All commands are to be run from the `docker` directory: `cd docker`
 
 #### Linux
 
@@ -26,7 +18,7 @@ For more configuration options (using an AMD GPU, custom root directory location
 
 This is done via Docker Desktop preferences
 
-### Configure Invoke environment
+## Quickstart
 
 1. Make a copy of `env.sample` and name it `.env` (`cp env.sample .env` (Mac/Linux) or `copy example.env .env` (Windows)). Make changes as necessary. Set `INVOKEAI_ROOT` to an absolute path to:
     a. the desired location of the InvokeAI runtime directory, or
@@ -45,21 +37,19 @@ The runtime directory (holding models and outputs) will be created in the locati
 
 The Docker daemon on the system must be already set up to use the GPU. In case of Linux, this involves installing `nvidia-docker-runtime` and configuring the `nvidia` runtime as default. Steps will be different for AMD. Please see Docker documentation for the most up-to-date instructions for using your GPU with Docker.
 
-To use an AMD GPU, set `GPU_DRIVER=rocm` in your `.env` file.
-
 ## Customize
 
 Check the `.env.sample` file. It contains some environment variables for running in Docker. Copy it, name it `.env`, and fill it in with your own values. Next time you run `run.sh`, your custom values will be used.
 
 You can also set these values in `docker-compose.yml` directly, but `.env` will help avoid conflicts when code is updated.
 
-Values are optional, but setting `INVOKEAI_ROOT` is highly recommended. The default is `~/invokeai`. Example:
+Example (values are optional, but setting `INVOKEAI_ROOT` is highly recommended):
 
 ```bash
 INVOKEAI_ROOT=/Volumes/WorkDrive/invokeai
 HUGGINGFACE_TOKEN=the_actual_token
 CONTAINER_UID=1000
-GPU_DRIVER=nvidia
+GPU_DRIVER=cuda
 ```
 
 Any environment variables supported by InvokeAI can be set here - please see the [Configuration docs](https://invoke-ai.github.io/InvokeAI/features/CONFIGURATION/) for further detail.

docker/docker-compose.yml

@@ -21,9 +21,7 @@ x-invokeai: &invokeai
     ports:
       - "${INVOKEAI_PORT:-9090}:9090"
     volumes:
-      - type: bind
-        source: ${HOST_INVOKEAI_ROOT:-${INVOKEAI_ROOT:-~/invokeai}}
-        target: ${INVOKEAI_ROOT:-/invokeai}
+      - ${INVOKEAI_ROOT:-~/invokeai}:${INVOKEAI_ROOT:-/invokeai}
       - ${HF_HOME:-~/.cache/huggingface}:${HF_HOME:-/invokeai/.cache/huggingface}
       # - ${INVOKEAI_MODELS_DIR:-${INVOKEAI_ROOT:-/invokeai/models}}
       # - ${INVOKEAI_MODELS_CONFIG_PATH:-${INVOKEAI_ROOT:-/invokeai/configs/models.yaml}}

docker/run.sh

@@ -1,5 +1,5 @@
 #!/usr/bin/env bash
-set -e -o pipefail
+set -e
 
 run() {
   local scriptdir=$(dirname "${BASH_SOURCE[0]}")
@@ -8,18 +8,14 @@ run() {
   local build_args=""
   local profile=""
 
-  touch .env
-  build_args=$(awk '$1 ~ /=[^$]/ && $0 !~ /^#/ {print "--build-arg " $0 " "}' .env) &&
-  profile="$(awk -F '=' '/GPU_DRIVER/ {print $2}' .env)"
-
-  [[ -z "$profile" ]] && profile="nvidia"
+  [[ -f ".env" ]] &&
+    build_args=$(awk '$1 ~ /=[^$]/ && $0 !~ /^#/ {print "--build-arg " $0 " "}' .env) &&
+    profile="$(awk -F '=' '/GPU_DRIVER/ {print $2}' .env)"
 
   local service_name="invokeai-$profile"
 
-  if [[ ! -z "$build_args" ]]; then
-    printf "%s\n" "docker compose build args:"
-    printf "%s\n" "$build_args"
-  fi
+  printf "%s\n" "docker compose build args:"
+  printf "%s\n" "$build_args"
 
   docker compose build $build_args
   unset build_args

docs/RELEASE.md

@@ -0,0 +1,157 @@
+# Release
+
+The app is published in twice, in different build formats.
+
+- A [PyPI] distribution. This includes both a source distribution and built distribution (a wheel). Users install with `pip install invokeai`. The updater uses this build.
+- An installer on the [InvokeAI Releases Page]. This is a zip file with install scripts and a wheel. This is only used for new installs.
+
+## General Prep
+
+Make a developer call-out for PRs to merge. Merge and test things out.
+
+While the release workflow does not include end-to-end tests, it does pause before publishing so you can download and test the final build.
+
+## Release Workflow
+
+The `release.yml` workflow runs a number of jobs to handle code checks, tests, build and publish on PyPI.
+
+It is triggered on **tag push**. It doesn't matter if you've prepped a release branch like `release/v3.5.0` or are releasing from `main` - it works the same.
+
+!!! info
+
+    Commits are reference-counted, so as long as a something points to a commit, that commit will not be garbage-collected'd from the repo.
+
+    It is safe to create a release branch, tag it and have the workflow do its thing, then delete the branch. So long as the tag is not deleted, that snapshot of the repo will forever exist at the tag.
+
+### Pushing the Tag
+
+Run `make tag-release` to tag the current commit and kick off the workflow.
+
+### Tag Push Example
+
+Any tag push will trigger the workflow, but it will publish only if the git ref (the tag) matches the app version.
+
+Say `invokeai_version.py` looks like this:
+
+```py
+__version__ = "3.5.0rc2"
+```
+
+- If you push tag `v3.5.0rc2`, the workflow will trigger and run. If the checks and build succeed, you'll be able to publish the release.
+
+- If you push tag `v3.5.0rc3` or `banana-sushi`, the workflow will trigger and run. Even if the checks and build succeed, you'll _will not_ be able to publish the release, because the tag doesn't match the app version.
+
+!!! info
+
+    Any valid [version specifier] works, so long as the tag matches the version. The release workflow works exactly the same for `RC`, `post`, `dev`, etc.
+
+### code quality jobs
+
+Three jobs are run concurrently:
+
+- **`pytest`**: runs `pytest` on matrix of platforms
+- **`check-python`**: runs `ruff` (format and lint)
+- **`check-frontend`**: runs `prettier` (format), `eslint` (lint), `madge` (circular refs) and `tsc` (static type check)
+
+If any fail, the release workflow bails.
+
+!!! info Future Enhancement
+
+    We should add `mypy` or `pyright` to the **`check-python`** job at some point.
+
+### `build`
+
+This sets up both python and frontend dependencies and builds the python package. Internally, this runs `installer/create_installer.sh` and uploads two artifacts:
+
+- **`dist`**: the python distribution, to be published on PyPI
+- **`InvokeAI-installer-${VERSION}.zip`**: the installer to be included in the GitHub release
+
+!!! info
+
+    The installer uses the uses the same wheel file that is included in the PyPI distribution, so you _should_ get exactly the same thing using the installer or PyPI dist.
+
+### Sanity Check & Smoke Test
+
+At this point, the release workflow pauses (the remaining jobs all require approval).
+
+The maintainer who is running this release should go to the **Summary** tab of the workflow, download the installer and test it.
+
+You could also download the `dist`, unzip it and install directly from the wheel. That same wheel will be uploaded to PyPI.
+
+### Publish
+
+The publish jobs use [GitHub environments], which are configured as [trusted publishers] on PyPI.
+
+Both jobs require a maintainer to approve them from the workflow's **Summary** tab.
+
+- Click the **Review deployments** button
+- Select the environment (either `testpypi` or `pypi`)
+- Click **Approve and deploy**
+
+#### Skip and Failure Conditions
+
+The publish jobs may skip or fail in certain situations:
+
+- **If code checks or build fail, the jobs will be skipped.**
+- **If code checks were skipped, the jobs will be skipped.** This can only happen when [manually] running the workflow.
+- **If the git ref targetted by the workflow doesn't match the app version, the jobs will fail.** This protects us from accidentally publishing the wrong version to PyPI. This is achieved with [samuelcolvin/check-python-version].
+- **If the version already exists on PyPI, the jobs will fail.** PyPI only allows a particular version to be published once - you cannot change it. If version published on PyPI has a problem, you'll need to "fail forward" by bumping the app version and publishing a followup release.
+
+#### `publish-testpypi`
+
+Publishes the distribution on the [Test PyPI] index using the `testpypi` GitHub environment.
+
+This job is optional:
+
+- It is not require for the final `publish-pypi` job to run.
+- The wheel used in the installer and PyPI dist (uploaded as artifacts from the workflow, as described above) are identical, so this job _should_ be extraneous.
+
+That said, you could approve it and then test installing from PyPI before running the production PyPI publish job:
+
+```sh
+# Create a new virtual environment
+python -m venv ~/.test-invokeai-dist --prompt test-invokeai-dist
+# Install the distribution from Test PyPI
+pip install --index-url https://test.pypi.org/simple/ invokeai
+# Run and test the app
+invokeai-web
+# Cleanup
+deactivate
+rm -rf ~/.test-invokeai-dist
+```
+
+#### `publish-pypi`
+
+Publishes the distribution on the production PyPI index, using the `pypi` GitHub environment.
+
+Once this finishes, `pip install invokeai` will get the release!
+
+## Publish the GitHub RC with installer
+
+1. [Draft a new release] on GitHub, choosing the tag that initiated the release.
+2. Write the release notes, describing important changes. The **Generate release notes** button automatically inserts the changelog and new contributors, and you can copy/paste the intro from previous releases.
+3. Upload the zip file created in [Build the installer] into the Assets section of the release notes. You can also upload the zip into the body of the release notes, since it can be hard for users to find the Assets section.
+4. Check the **Set as a pre-release** and **Create a discussion for this release** checkboxes at the bottom of the release page.
+5. Publish the pre-release.
+6. Announce the pre-release in Discord.
+
+!!! info Future Enhancement
+
+    Workflows can do things like create a release from a template and upload release assets. One popular action to handle this is [ncipollo/release-action]. A future enhancement to the release process could set this up.
+
+## Manually Running the Release Workflow
+
+The release workflow can be kicked off manually. This is useful to get an installer build and test it out without needing to push a tag.
+
+When run this way, you'll see **Skip code checks** checkbox. This allows the workflow to run without the time-consuming 3 code quality check jobs. The publish jobs will be skipped if enabled.
+
+[InvokeAI Releases Page]: https://github.com/invoke-ai/InvokeAI/releases
+[PyPI]: https://pypi.org/
+[Draft a new release]: https://github.com/invoke-ai/InvokeAI/releases/new
+[Test PyPI]: https://test.pypi.org/
+[version specifier]: https://packaging.python.org/en/latest/specifications/version-specifiers/
+[ncipollo/release-action]: https://github.com/ncipollo/release-action
+[GitHub environments]: https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment
+[trusted publishers]: https://docs.pypi.org/trusted-publishers/
+[samuelcolvin/check-python-version]: https://github.com/samuelcolvin/check-python-version
+[manually]: #manually-running-the-release-workflow

docs/deprecated/2to3.md

@@ -1,53 +0,0 @@
-## :octicons-log-16: Important Changes Since Version 2.3
-
-### Nodes
-
-Behind the scenes, InvokeAI has been completely rewritten to support
-"nodes," small unitary operations that can be combined into graphs to
-form arbitrary workflows. For example, there is a prompt node that
-processes the prompt string and feeds it to a text2latent node that
-generates a latent image. The latents are then fed to a latent2image
-node that translates the latent image into a PNG.
-
-The WebGUI has a node editor that allows you to graphically design and
-execute custom node graphs. The ability to save and load graphs is
-still a work in progress, but coming soon.
-
-### Command-Line Interface Retired
-
-All "invokeai" command-line interfaces have been retired as of version
-3.4.
-
-To launch the Web GUI from the command-line, use the command
-`invokeai-web` rather than the traditional `invokeai --web`.
-
-### ControlNet
-
-This version of InvokeAI features ControlNet, a system that allows you
-to achieve exact poses for human and animal figures by providing a
-model to follow. Full details are found in [ControlNet](features/CONTROLNET.md)
-
-### New Schedulers
-
-The list of schedulers has been completely revamped and brought up to date:
-
-| **Short Name** | **Scheduler**                   | **Notes**                   |
-|----------------|---------------------------------|-----------------------------|
-| **ddim**       | DDIMScheduler                   |                             |
-| **ddpm**       | DDPMScheduler                   |                             |
-| **deis**       | DEISMultistepScheduler          |                             |
-| **lms**        | LMSDiscreteScheduler            |                             |
-| **pndm**       | PNDMScheduler                   |                             |
-| **heun**       | HeunDiscreteScheduler           | original noise schedule     |
-| **heun_k**     | HeunDiscreteScheduler           | using karras noise schedule |
-| **euler**      | EulerDiscreteScheduler          | original noise schedule     |
-| **euler_k**    | EulerDiscreteScheduler          | using karras noise schedule |
-| **kdpm_2**     | KDPM2DiscreteScheduler          |                             |
-| **kdpm_2_a**   | KDPM2AncestralDiscreteScheduler |                             |
-| **dpmpp_2s**   | DPMSolverSinglestepScheduler    |                             |
-| **dpmpp_2m**   | DPMSolverMultistepScheduler     | original noise scnedule     |
-| **dpmpp_2m_k** | DPMSolverMultistepScheduler     | using karras noise schedule |
-| **unipc**      | UniPCMultistepScheduler         | CPU only                    |
-| **lcm**        | LCMScheduler                    |                             |
-
-Please see [3.0.0 Release Notes](https://github.com/invoke-ai/InvokeAI/releases/tag/v3.0.0) for further details.

docs/features/UNIFIED_CANVAS.md

@@ -229,28 +229,29 @@ clarity on the intent and common use cases we expect for utilizing them.
   currently being rendered by your browser into a merged copy of the image. This
   lowers the resource requirements and should improve performance.
 
-### Compositing / Seam Correction
+### Seam Correction
 
 When doing Inpainting or Outpainting, Invoke needs to merge the pixels generated
-by Stable Diffusion into your existing image. This is achieved through compositing - the area around the the boundary between your image and the new generation is
+by Stable Diffusion into your existing image. To do this, the area around the
+`seam` at the boundary between your image and the new generation is
 automatically blended to produce a seamless output. In a fully automatic
-process, a mask is generated to cover the boundary, and then the area of the boundary is
+process, a mask is generated to cover the seam, and then the area of the seam is
 Inpainted.
 
 Although the default options should work well most of the time, sometimes it can
-help to alter the parameters that control the Compositing. A larger blur and
-a blur setting  have been noted as producing
-consistently strong results . Strength of 0.7 is best for reducing hard seams.
-
-- **Mode** - What part of the image will have the the Compositing applied to it.
-  - **Mask edge** will apply Compositing to the edge of the masked area
-  - **Mask** will apply Compositing to the entire masked area
-  - **Unmasked** will apply Compositing to the entire image
-- **Steps** - Number of generation steps that will occur during the Coherence Pass, similar to Denoising Steps. Higher step counts will generally have better results.
-- **Strength** - How much noise is added for the Coherence Pass, similar to Denoising Strength. A strength of 0 will result in an unchanged image, while a strength of 1 will result in an image with a completely new area as defined by the Mode setting.
-- **Blur** - Adjusts the pixel radius of the the mask. A larger blur radius will cause the mask to extend past the visibly masked area, while too small of a blur radius will result in a mask that is smaller than the visibly masked area.
-- **Blur Method** - The method of blur applied to the masked area. 
+help to alter the parameters that control the seam Inpainting. A wider seam and
+a blur setting of about 1/3 of the seam have been noted as producing
+consistently strong results (e.g. 96 wide and 16 blur - adds up to 32 blur with
+both sides). Seam strength of 0.7 is best for reducing hard seams.
 
+- **Seam Size** - The size of the seam masked area. Set higher to make a larger
+  mask around the seam.
+- **Seam Blur** - The size of the blur that is applied on _each_ side of the
+  masked area.
+- **Seam Strength** - The Image To Image Strength parameter used for the
+  Inpainting generation that is applied to the seam area.
+- **Seam Steps** - The number of generation steps that should be used to Inpaint
+  the seam.
 
 ### Infill & Scaling
 

docs/index.md

@@ -18,7 +18,7 @@ title: Home
       width: 100%;
       max-width: 100%;
       height: 50px;
-      background-color: #35A4DB;
+      background-color: #448AFF;
       color: #fff;
       font-size: 16px;
       border: none;
@@ -43,7 +43,7 @@ title: Home
 <div align="center" markdown>
 
 
-[![project logo](https://github.com/invoke-ai/InvokeAI/assets/31807370/6e3728c7-e90e-4711-905c-3b55844ff5be)](https://github.com/invoke-ai/InvokeAI)
+[![project logo](assets/invoke_ai_banner.png)](https://github.com/invoke-ai/InvokeAI)
 
 [![discord badge]][discord link]
 
@@ -145,6 +145,60 @@ Mac and Linux machines, and runs on GPU cards with as little as 4 GB of RAM.
 - [Guide to InvokeAI Runtime Settings](features/CONFIGURATION.md)
 - [Database Maintenance and other Command Line Utilities](features/UTILITIES.md)
 
+## :octicons-log-16: Important Changes Since Version 2.3
+
+### Nodes
+
+Behind the scenes, InvokeAI has been completely rewritten to support
+"nodes," small unitary operations that can be combined into graphs to
+form arbitrary workflows. For example, there is a prompt node that
+processes the prompt string and feeds it to a text2latent node that
+generates a latent image. The latents are then fed to a latent2image
+node that translates the latent image into a PNG.
+
+The WebGUI has a node editor that allows you to graphically design and
+execute custom node graphs. The ability to save and load graphs is
+still a work in progress, but coming soon.
+
+### Command-Line Interface Retired
+
+All "invokeai" command-line interfaces have been retired as of version
+3.4.
+
+To launch the Web GUI from the command-line, use the command
+`invokeai-web` rather than the traditional `invokeai --web`.
+
+### ControlNet
+
+This version of InvokeAI features ControlNet, a system that allows you
+to achieve exact poses for human and animal figures by providing a
+model to follow. Full details are found in [ControlNet](features/CONTROLNET.md)
+
+### New Schedulers
+
+The list of schedulers has been completely revamped and brought up to date:
+
+| **Short Name** | **Scheduler**                   | **Notes**                   |
+|----------------|---------------------------------|-----------------------------|
+| **ddim**       | DDIMScheduler                   |                             |
+| **ddpm**       | DDPMScheduler                   |                             |
+| **deis**       | DEISMultistepScheduler          |                             |
+| **lms**        | LMSDiscreteScheduler            |                             |
+| **pndm**       | PNDMScheduler                   |                             |
+| **heun**       | HeunDiscreteScheduler           | original noise schedule     |
+| **heun_k**     | HeunDiscreteScheduler           | using karras noise schedule |
+| **euler**      | EulerDiscreteScheduler          | original noise schedule     |
+| **euler_k**    | EulerDiscreteScheduler          | using karras noise schedule |
+| **kdpm_2**     | KDPM2DiscreteScheduler          |                             |
+| **kdpm_2_a**   | KDPM2AncestralDiscreteScheduler |                             |
+| **dpmpp_2s**   | DPMSolverSinglestepScheduler    |                             |
+| **dpmpp_2m**   | DPMSolverMultistepScheduler     | original noise scnedule     |
+| **dpmpp_2m_k** | DPMSolverMultistepScheduler     | using karras noise schedule |
+| **unipc**      | UniPCMultistepScheduler         | CPU only                    |
+| **lcm**        | LCMScheduler                    |                             |
+
+Please see [3.0.0 Release Notes](https://github.com/invoke-ai/InvokeAI/releases/tag/v3.0.0) for further details.
+
 ## :material-target: Troubleshooting
 
 Please check out our **[:material-frequently-asked-questions:

docs/javascripts/init_kapa_widget.js

@@ -1,10 +1,10 @@
-document.addEventListener("DOMContentLoaded", function () {
-  var script = document.createElement("script");
-  script.src = "https://widget.kapa.ai/kapa-widget.bundle.js";
-  script.setAttribute("data-website-id", "b5973bb1-476b-451e-8cf4-98de86745a10");
-  script.setAttribute("data-project-name", "Invoke.AI");
-  script.setAttribute("data-project-color", "#11213C");
-  script.setAttribute("data-project-logo", "https://avatars.githubusercontent.com/u/113954515?s=280&v=4");
-  script.async = true;
-  document.head.appendChild(script);
-});
+document.addEventListener("DOMContentLoaded", function () {
+  var script = document.createElement("script");
+  script.src = "https://widget.kapa.ai/kapa-widget.bundle.js";
+  script.setAttribute("data-website-id", "b5973bb1-476b-451e-8cf4-98de86745a10");
+  script.setAttribute("data-project-name", "Invoke.AI");
+  script.setAttribute("data-project-color", "#11213C");
+  script.setAttribute("data-project-logo", "https://avatars.githubusercontent.com/u/113954515?s=280&v=4");
+  script.async = true;
+  document.head.appendChild(script);
+});

docs/nodes/NODES.md

@@ -6,17 +6,10 @@ If you're not familiar with Diffusion, take a look at our [Diffusion Overview.](
 
 ## Features
 
-### Workflow Library
-The Workflow Library enables you to save workflows to the Invoke database, allowing you to easily creating, modify and share workflows as needed. 
-
-A curated set of workflows are provided by default - these are designed to help explain important nodes' usage in the Workflow Editor.
-
-![workflow_library](../assets/nodes/workflow_library.png)
-
 ### Linear View
 The Workflow Editor allows you to create a UI for your workflow, to make it easier to iterate on your generations. 
 
-To add an input to the Linear UI, right click on the **input label** and select "Add to Linear View".
+To add an input to the Linear UI, right click on the input label and select "Add to Linear View".
 
 The Linear UI View will also be part of the saved workflow, allowing you share workflows and enable other to use them, regardless of complexity. 
 
@@ -37,7 +30,7 @@ Any node or input field can be renamed in the workflow editor. If the input fiel
 Nodes have a "Use Cache" option in their footer. This allows for performance improvements by using the previously cached values during the workflow processing. 
 
 
-## Important Nodes & Concepts 
+## Important Concepts 
 
 There are several node grouping concepts that can be examined with a narrow focus. These (and other) groupings can be pieced together to make up functional graph setups, and are important to understanding how groups of nodes work together as part of a whole. Note that the screenshots below aren't examples of complete functioning node graphs (see Examples).
 
@@ -63,7 +56,7 @@ The ImageToLatents node takes in a pixel image and a VAE and outputs a latents.
 
 It is common to want to use both the same seed (for continuity) and random seeds (for variety). To define a seed, simply enter it into the 'Seed' field on a noise node. Conversely, the RandomInt node generates a random integer between 'Low' and 'High', and can be used as input to the 'Seed' edge point on a noise node to randomize your seed.
 
-![groupsrandseed](../assets/nodes/groupsnoise.png)
+![groupsrandseed](../assets/nodes/groupsrandseed.png)
 
 ### ControlNet
 

docs/nodes/communityNodes.md

@@ -36,8 +36,7 @@ To use a community workflow, download the the `.json` node graph file and load i
     + [Mask Operations](#mask-operations)
     + [Match Histogram](#match-histogram)
     + [Metadata-Linked](#metadata-linked-nodes)
-    + [Negative Image](#negative-image)
-    + [Nightmare Promptgen](#nightmare-promptgen)    
+    + [Negative Image](#negative-image)    
     + [Oobabooga](#oobabooga)
     + [Prompt Tools](#prompt-tools)
     + [Remote Image](#remote-image)
@@ -347,13 +346,6 @@ Node Link: https://github.com/VeyDlin/negative-image-node
 View:
 </br><img src="https://raw.githubusercontent.com/VeyDlin/negative-image-node/master/.readme/node.png" width="500" />
 
---------------------------------
-### Nightmare Promptgen
-
-**Description:** Nightmare Prompt Generator - Uses a local text generation model to create unique imaginative (but usually nightmarish) prompts for InvokeAI. By default, it allows you to choose from some gpt-neo models I finetuned on over 2500 of my own InvokeAI prompts in Compel format, but you're able to add your own, as well. Offers support for replacing any troublesome words with a random choice from list you can also define.
-
-**Node Link:** [https://github.com/gogurtenjoyer/nightmare-promptgen](https://github.com/gogurtenjoyer/nightmare-promptgen)
-
 --------------------------------
 ### Oobabooga
 

docs/nodes/exampleWorkflows.md

@@ -1,6 +1,6 @@
 # Example Workflows
 
-We've curated some example workflows for you to get started with Workflows in InvokeAI! These can also be found in the Workflow Library, located in the Workflow Editor of Invoke.
+We've curated some example workflows for you to get started with Workflows in InvokeAI
 
 To use them, right click on your desired workflow, follow the link to GitHub and click the "⬇" button to download the raw file. You can then use the "Load Workflow" functionality in InvokeAI to load the workflow and start generating images!
 

docs/other/CONTRIBUTORS.md

@@ -215,7 +215,6 @@ We thank them for all of their time and hard work.
 - Robert Bolender
 - Robin Rombach
 - Rohan Barar
-- rohinish404
 - rpagliuca
 - rromb
 - Rupesh Sreeraman

docs/stylesheets/extra.css

@@ -1,5 +0,0 @@
-:root {
-    --md-primary-fg-color:        #35A4DB;
-    --md-primary-fg-color--light: #35A4DB;
-    --md-primary-fg-color--dark:  #35A4DB;
-  }

docs/workflows/Text_to_Image.json

@@ -1,8 +1,8 @@
 {
-  "name": "Text to Image - SD1.5",
+  "name": "Text to Image",
   "author": "InvokeAI",
   "description": "Sample text to image workflow for Stable Diffusion 1.5/2",
-  "version": "1.1.0",
+  "version": "1.0.1",
   "contact": "invoke@invoke.ai",
   "tags": "text2image, SD1.5, SD2, default",
   "notes": "",
@@ -18,19 +18,10 @@
     {
       "nodeId": "93dc02a4-d05b-48ed-b99c-c9b616af3402",
       "fieldName": "prompt"
-    },
-    {
-      "nodeId": "55705012-79b9-4aac-9f26-c0b10309785b",
-      "fieldName": "width"
-    },
-    {
-      "nodeId": "55705012-79b9-4aac-9f26-c0b10309785b",
-      "fieldName": "height"
     }
   ],
   "meta": {
-    "category": "default",
-    "version": "2.0.0"
+    "version": "1.0.0"
   },
   "nodes": [
     {
@@ -39,56 +30,44 @@
       "data": {
         "id": "93dc02a4-d05b-48ed-b99c-c9b616af3402",
         "type": "compel",
-        "label": "Negative Compel Prompt",
-        "isOpen": true,
-        "notes": "",
-        "isIntermediate": true,
-        "useCache": true,
-        "version": "1.0.0",
-        "nodePack": "invokeai",
         "inputs": {
           "prompt": {
             "id": "7739aff6-26cb-4016-8897-5a1fb2305e4e",
             "name": "prompt",
+            "type": "string",
             "fieldKind": "input",
             "label": "Negative Prompt",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "StringField"
-            },
             "value": ""
           },
           "clip": {
             "id": "48d23dce-a6ae-472a-9f8c-22a714ea5ce0",
             "name": "clip",
+            "type": "ClipField",
             "fieldKind": "input",
-            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "ClipField"
-            }
+            "label": ""
           }
         },
         "outputs": {
           "conditioning": {
             "id": "37cf3a9d-f6b7-4b64-8ff6-2558c5ecc447",
             "name": "conditioning",
-            "fieldKind": "output",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "ConditioningField"
-            }
+            "type": "ConditioningField",
+            "fieldKind": "output"
           }
-        }
+        },
+        "label": "Negative Compel Prompt",
+        "isOpen": true,
+        "notes": "",
+        "embedWorkflow": false,
+        "isIntermediate": true,
+        "useCache": true,
+        "version": "1.0.0"
       },
       "width": 320,
-      "height": 259,
+      "height": 261,
       "position": {
-        "x": 1000,
-        "y": 350
+        "x": 995.7263915923627,
+        "y": 239.67783573351227
       }
     },
     {
@@ -97,60 +76,37 @@
       "data": {
         "id": "55705012-79b9-4aac-9f26-c0b10309785b",
         "type": "noise",
-        "label": "",
-        "isOpen": true,
-        "notes": "",
-        "isIntermediate": true,
-        "useCache": true,
-        "version": "1.0.1",
-        "nodePack": "invokeai",
         "inputs": {
           "seed": {
             "id": "6431737c-918a-425d-a3b4-5d57e2f35d4d",
             "name": "seed",
+            "type": "integer",
             "fieldKind": "input",
             "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "IntegerField"
-            },
             "value": 0
           },
           "width": {
             "id": "38fc5b66-fe6e-47c8-bba9-daf58e454ed7",
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-      "targetHandle": "clip"
+      "targetHandle": "clip",
+      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8clip-7d8bf987-284f-413a-b2fd-d825445a5d6cclip",
+      "type": "default"
     },
     {
-      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8clip-93dc02a4-d05b-48ed-b99c-c9b616af3402clip",
       "source": "c8d55139-f380-4695-b7f2-8b3d1e1e3db8",
+      "sourceHandle": "clip",
       "target": "93dc02a4-d05b-48ed-b99c-c9b616af3402",
-      "type": "default",
-      "sourceHandle": "clip",
-      "targetHandle": "clip"
+      "targetHandle": "clip",
+      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8clip-93dc02a4-d05b-48ed-b99c-c9b616af3402clip",
+      "type": "default"
     },
     {
-      "id": "reactflow__edge-55705012-79b9-4aac-9f26-c0b10309785bnoise-eea2702a-19fb-45b5-9d75-56b4211ec03cnoise",
       "source": "55705012-79b9-4aac-9f26-c0b10309785b",
-      "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
-      "type": "default",
       "sourceHandle": "noise",
-      "targetHandle": "noise"
+      "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
+      "targetHandle": "noise",
+      "id": "reactflow__edge-55705012-79b9-4aac-9f26-c0b10309785bnoise-eea2702a-19fb-45b5-9d75-56b4211ec03cnoise",
+      "type": "default"
     },
     {
-      "id": "reactflow__edge-7d8bf987-284f-413a-b2fd-d825445a5d6cconditioning-eea2702a-19fb-45b5-9d75-56b4211ec03cpositive_conditioning",
       "source": "7d8bf987-284f-413a-b2fd-d825445a5d6c",
-      "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
-      "type": "default",
       "sourceHandle": "conditioning",
-      "targetHandle": "positive_conditioning"
+      "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
+      "targetHandle": "positive_conditioning",
+      "id": "reactflow__edge-7d8bf987-284f-413a-b2fd-d825445a5d6cconditioning-eea2702a-19fb-45b5-9d75-56b4211ec03cpositive_conditioning",
+      "type": "default"
     },
     {
-      "id": "reactflow__edge-93dc02a4-d05b-48ed-b99c-c9b616af3402conditioning-eea2702a-19fb-45b5-9d75-56b4211ec03cnegative_conditioning",
       "source": "93dc02a4-d05b-48ed-b99c-c9b616af3402",
-      "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
-      "type": "default",
       "sourceHandle": "conditioning",
-      "targetHandle": "negative_conditioning"
-    },
-    {
-      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8unet-eea2702a-19fb-45b5-9d75-56b4211ec03cunet",
-      "source": "c8d55139-f380-4695-b7f2-8b3d1e1e3db8",
       "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
-      "type": "default",
-      "sourceHandle": "unet",
-      "targetHandle": "unet"
+      "targetHandle": "negative_conditioning",
+      "id": "reactflow__edge-93dc02a4-d05b-48ed-b99c-c9b616af3402conditioning-eea2702a-19fb-45b5-9d75-56b4211ec03cnegative_conditioning",
+      "type": "default"
     },
     {
-      "id": "reactflow__edge-eea2702a-19fb-45b5-9d75-56b4211ec03clatents-58c957f5-0d01-41fc-a803-b2bbf0413d4flatents",
-      "source": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
-      "target": "58c957f5-0d01-41fc-a803-b2bbf0413d4f",
-      "type": "default",
-      "sourceHandle": "latents",
-      "targetHandle": "latents"
-    },
-    {
-      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8vae-58c957f5-0d01-41fc-a803-b2bbf0413d4fvae",
       "source": "c8d55139-f380-4695-b7f2-8b3d1e1e3db8",
+      "sourceHandle": "unet",
+      "target": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
+      "targetHandle": "unet",
+      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8unet-eea2702a-19fb-45b5-9d75-56b4211ec03cunet",
+      "type": "default"
+    },
+    {
+      "source": "eea2702a-19fb-45b5-9d75-56b4211ec03c",
+      "sourceHandle": "latents",
       "target": "58c957f5-0d01-41fc-a803-b2bbf0413d4f",
-      "type": "default",
+      "targetHandle": "latents",
+      "id": "reactflow__edge-eea2702a-19fb-45b5-9d75-56b4211ec03clatents-58c957f5-0d01-41fc-a803-b2bbf0413d4flatents",
+      "type": "default"
+    },
+    {
+      "source": "c8d55139-f380-4695-b7f2-8b3d1e1e3db8",
       "sourceHandle": "vae",
-      "targetHandle": "vae"
+      "target": "58c957f5-0d01-41fc-a803-b2bbf0413d4f",
+      "targetHandle": "vae",
+      "id": "reactflow__edge-c8d55139-f380-4695-b7f2-8b3d1e1e3db8vae-58c957f5-0d01-41fc-a803-b2bbf0413d4fvae",
+      "type": "default"
     }
   ]
-}
+}

installer/create_installer.sh

@@ -2,12 +2,12 @@
 
 set -e
 
-BCYAN="\e[1;36m"
-BYELLOW="\e[1;33m"
-BGREEN="\e[1;32m"
-BRED="\e[1;31m"
-RED="\e[31m"
-RESET="\e[0m"
+BCYAN="\033[1;36m"
+BYELLOW="\033[1;33m"
+BGREEN="\033[1;32m"
+BRED="\033[1;31m"
+RED="\033[31m"
+RESET="\033[0m"
 
 function is_bin_in_path {
     builtin type -P "$1" &>/dev/null
@@ -19,11 +19,6 @@ function git_show {
 
 cd "$(dirname "$0")"
 
-echo -e "${BYELLOW}This script must be run from the installer directory!${RESET}"
-echo "The current working directory is $(pwd)"
-read -p "If that looks right, press any key to proceed, or CTRL-C to exit..."
-echo
-
 # Some machines only have `python3` in PATH, others have `python` - make an alias.
 # We can use a function to approximate an alias within a non-interactive shell.
 if ! is_bin_in_path python && is_bin_in_path python3; then
@@ -32,7 +27,7 @@ if ! is_bin_in_path python && is_bin_in_path python3; then
     }
 fi
 
-if [[ -v "VIRTUAL_ENV" ]]; then
+if [ -n "${VIRTUAL_ENV+set}" ]; then
     # we can't just call 'deactivate' because this function is not exported
     # to the environment of this script from the bash process that runs the script
     echo -e "${BRED}A virtual environment is activated. Please deactivate it before proceeding.${RESET}"
@@ -43,8 +38,7 @@ VERSION=$(
     cd ..
     python -c "from invokeai.version import __version__ as version; print(version)"
 )
-PATCH=""
-VERSION="v${VERSION}${PATCH}"
+VERSION="v${VERSION}"
 
 echo -e "${BGREEN}HEAD${RESET}:"
 git_show
@@ -59,8 +53,14 @@ echo
 pnpm i --frozen-lockfile
 echo
 echo "Building frontend..."
+if [[ -v CI ]]; then
+    # In CI, we have already done the frontend checks and can just build
+    pnpm vite build
+else
+    # This runs all the frontend checks and builds
+    pnpm build
+fi
 echo
-pnpm build
 popd
 
 # ---------------------- BACKEND ----------------------
@@ -77,7 +77,7 @@ fi
 
 rm -rf ../build
 
-python -m build --wheel --outdir dist/ ../.
+python -m build --outdir dist/ ../.
 
 # ----------------------
 
@@ -97,8 +97,8 @@ done
 mkdir InvokeAI-Installer/lib
 cp lib/*.py InvokeAI-Installer/lib
 
-# Move the wheel
-mv dist/*.whl InvokeAI-Installer/lib/
+# Copy the wheel
+cp dist/*.whl InvokeAI-Installer/lib/
 
 # Install scripts
 # Mac/Linux
@@ -109,10 +109,21 @@ chmod a+x InvokeAI-Installer/install.sh
 perl -p -e "s/^set INVOKEAI_VERSION=.*/set INVOKEAI_VERSION=$VERSION/" install.bat.in >InvokeAI-Installer/install.bat
 cp WinLongPathsEnabled.reg InvokeAI-Installer/
 
-# Zip everything up
-zip -r InvokeAI-installer-$VERSION.zip InvokeAI-Installer
+FILENAME=InvokeAI-installer-$VERSION.zip
 
-# clean up
-rm -rf InvokeAI-Installer tmp dist ../invokeai/frontend/web/dist/
+# Zip everything up
+zip -r $FILENAME InvokeAI-Installer
+
+if [[ ! -v CI ]]; then
+    # clean up, but only if we are not in a github action
+    rm -rf InvokeAI-Installer tmp dist ../invokeai/frontend/web/dist/
+fi
+
+if [[ -v CI ]]; then
+    # Set the output variable for github action
+    echo "INSTALLER_FILENAME=$FILENAME" >>$GITHUB_OUTPUT
+    echo "INSTALLER_PATH=installer/$FILENAME" >>$GITHUB_OUTPUT
+    echo "DIST_PATH=installer/dist/" >>$GITHUB_OUTPUT
+fi
 
 exit 0

installer/lib/installer.py

@@ -241,12 +241,12 @@ class InvokeAiInstance:
             pip[
                 "install",
                 "--require-virtualenv",
-                "numpy==1.26.3",  # choose versions that won't be uninstalled during phase 2
+                "numpy~=1.24.0",  # choose versions that won't be uninstalled during phase 2
                 "urllib3~=1.26.0",
                 "requests~=2.28.0",
-                "torch==2.1.2",
+                "torch==2.1.1",
                 "torchmetrics==0.11.4",
-                "torchvision==0.16.2",
+                "torchvision>=0.16.1",
                 "--force-reinstall",
                 "--find-links" if find_links is not None else None,
                 find_links,

installer/tag_release.sh

@@ -2,12 +2,16 @@
 
 set -e
 
-BCYAN="\e[1;36m"
-BYELLOW="\e[1;33m"
-BGREEN="\e[1;32m"
-BRED="\e[1;31m"
-RED="\e[31m"
-RESET="\e[0m"
+BCYAN="\033[1;36m"
+BYELLOW="\033[1;33m"
+BGREEN="\033[1;32m"
+BRED="\033[1;31m"
+RED="\033[31m"
+RESET="\033[0m"
+
+function is_bin_in_path {
+    builtin type -P "$1" &>/dev/null
+}
 
 function does_tag_exist {
     git rev-parse --quiet --verify "refs/tags/$1" >/dev/null
@@ -21,6 +25,14 @@ function git_show {
     git show -s --format='%h %s' $1
 }
 
+# Some machines only have `python3` in PATH, others have `python` - make an alias.
+# We can use a function to approximate an alias within a non-interactive shell.
+if ! is_bin_in_path python && is_bin_in_path python3; then
+    function python {
+        python3 "$@"
+    }
+fi
+
 VERSION=$(
     cd ..
     python -c "from invokeai.version import __version__ as version; print(version)"
@@ -45,27 +57,31 @@ echo -e "${BGREEN}HEAD${RESET}:"
 git_show
 echo
 
-echo -e -n "Create tags ${BCYAN}${VERSION}${RESET} and ${BCYAN}${LATEST_TAG}${RESET} @ ${BGREEN}HEAD${RESET}, ${RED}deleting existing tags on remote${RESET}? "
+echo -e "${BGREEN}git remote -v${RESET}:"
+git remote -v
+echo
+
+echo -e -n "Create tags ${BCYAN}${VERSION}${RESET} and ${BCYAN}${LATEST_TAG}${RESET} @ ${BGREEN}HEAD${RESET}, ${RED}deleting existing tags on origin remote${RESET}? "
 read -e -p 'y/n [n]: ' input
 RESPONSE=${input:='n'}
 if [ "$RESPONSE" == 'y' ]; then
     echo
-    echo -e "Deleting ${BCYAN}${VERSION}${RESET} tag on remote..."
-    git push --delete origin $VERSION
+    echo -e "Deleting ${BCYAN}${VERSION}${RESET} tag on origin remote..."
+    git push origin :refs/tags/$VERSION
 
-    echo -e "Tagging ${BGREEN}HEAD${RESET} with ${BCYAN}${VERSION}${RESET} locally..."
+    echo -e "Tagging ${BGREEN}HEAD${RESET} with ${BCYAN}${VERSION}${RESET} on locally..."
     if ! git tag -fa $VERSION; then
         echo "Existing/invalid tag"
         exit -1
     fi
 
-    echo -e "Deleting ${BCYAN}${LATEST_TAG}${RESET} tag on remote..."
-    git push --delete origin $LATEST_TAG
+    echo -e "Deleting ${BCYAN}${LATEST_TAG}${RESET} tag on origin remote..."
+    git push origin :refs/tags/$LATEST_TAG
 
     echo -e "Tagging ${BGREEN}HEAD${RESET} with ${BCYAN}${LATEST_TAG}${RESET} locally..."
     git tag -fa $LATEST_TAG
 
-    echo -e "Pushing updated tags to remote..."
+    echo -e "Pushing updated tags to origin remote..."
     git push origin --tags
 fi
 exit 0

invokeai/app/api/routers/utilities.py

@@ -23,11 +23,10 @@ class DynamicPromptsResponse(BaseModel):
 )
 async def parse_dynamicprompts(
     prompt: str = Body(description="The prompt to parse with dynamicprompts"),
-    max_prompts: int = Body(ge=1, le=10000, default=1000, description="The max number of prompts to generate"),
+    max_prompts: int = Body(default=1000, description="The max number of prompts to generate"),
     combinatorial: bool = Body(default=True, description="Whether to use the combinatorial generator"),
 ) -> DynamicPromptsResponse:
     """Creates a batch process"""
-    max_prompts = min(max_prompts, 10000)
     generator: Union[RandomPromptGenerator, CombinatorialPromptGenerator]
     try:
         error: Optional[str] = None

invokeai/app/api_app.py

@@ -76,7 +76,7 @@ mimetypes.add_type("text/css", ".css")
 
 # Create the app
 # TODO: create this all in a method so configuration/etc. can be passed in?
-app = FastAPI(title="Invoke - Community Edition", docs_url=None, redoc_url=None, separate_input_output_schemas=False)
+app = FastAPI(title="Invoke AI", docs_url=None, redoc_url=None, separate_input_output_schemas=False)
 
 # Add event handler
 event_handler_id: int = id(app)
@@ -205,8 +205,8 @@ app.openapi = custom_openapi  # type: ignore [method-assign] # this is a valid a
 def overridden_swagger() -> HTMLResponse:
     return get_swagger_ui_html(
         openapi_url=app.openapi_url,  # type: ignore [arg-type] # this is always a string
-        title=f"{app.title} - Swagger UI",
-        swagger_favicon_url="static/docs/invoke-favicon-docs.svg",
+        title=app.title,
+        swagger_favicon_url="/static/docs/favicon.ico",
     )
 
 
@@ -214,8 +214,8 @@ def overridden_swagger() -> HTMLResponse:
 def overridden_redoc() -> HTMLResponse:
     return get_redoc_html(
         openapi_url=app.openapi_url,  # type: ignore [arg-type] # this is always a string
-        title=f"{app.title} - Redoc",
-        redoc_favicon_url="static/docs/invoke-favicon-docs.svg",
+        title=app.title,
+        redoc_favicon_url="/static/docs/favicon.ico",
     )
 
 
@@ -229,7 +229,7 @@ if (web_root_path / "dist").exists():
     def get_index() -> FileResponse:
         return FileResponse(Path(web_root_path, "dist/index.html"), headers={"Cache-Control": "no-store"})
 
-    # Must mount *after* the other routes else it borks em
+    # # Must mount *after* the other routes else it borks em
     app.mount("/assets", StaticFiles(directory=Path(web_root_path, "dist/assets/")), name="assets")
     app.mount("/locales", StaticFiles(directory=Path(web_root_path, "dist/locales/")), name="locales")
 

invokeai/app/invocations/controlnet_image_processors.py

@@ -24,10 +24,9 @@ from controlnet_aux import (
 )
 from controlnet_aux.util import HWC3, ade_palette
 from PIL import Image
-from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
+from pydantic import BaseModel, ConfigDict, Field, field_validator
 
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
-from invokeai.app.invocations.util import validate_begin_end_step, validate_weights
 from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
 from invokeai.app.shared.fields import FieldDescriptions
 
@@ -76,16 +75,17 @@ class ControlField(BaseModel):
     resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
 
     @field_validator("control_weight")
-    @classmethod
     def validate_control_weight(cls, v):
-        validate_weights(v)
+        """Validate that all control weights in the valid range"""
+        if isinstance(v, list):
+            for i in v:
+                if i < -1 or i > 2:
+                    raise ValueError("Control weights must be within -1 to 2 range")
+        else:
+            if v < -1 or v > 2:
+                raise ValueError("Control weights must be within -1 to 2 range")
         return v
 
-    @model_validator(mode="after")
-    def validate_begin_end_step_percent(self):
-        validate_begin_end_step(self.begin_step_percent, self.end_step_percent)
-        return self
-
 
 @invocation_output("control_output")
 class ControlOutput(BaseInvocationOutput):
@@ -95,17 +95,17 @@ class ControlOutput(BaseInvocationOutput):
     control: ControlField = OutputField(description=FieldDescriptions.control)
 
 
-@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.1.1")
+@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.1.0")
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
 
     image: ImageField = InputField(description="The control image")
     control_model: ControlNetModelField = InputField(description=FieldDescriptions.controlnet_model, input=Input.Direct)
     control_weight: Union[float, List[float]] = InputField(
-        default=1.0, ge=-1, le=2, description="The weight given to the ControlNet"
+        default=1.0, description="The weight given to the ControlNet"
     )
     begin_step_percent: float = InputField(
-        default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
+        default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
     )
     end_step_percent: float = InputField(
         default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
@@ -113,17 +113,6 @@ class ControlNetInvocation(BaseInvocation):
     control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
     resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
 
-    @field_validator("control_weight")
-    @classmethod
-    def validate_control_weight(cls, v):
-        validate_weights(v)
-        return v
-
-    @model_validator(mode="after")
-    def validate_begin_end_step_percent(self) -> "ControlNetInvocation":
-        validate_begin_end_step(self.begin_step_percent, self.end_step_percent)
-        return self
-
     def invoke(self, context: InvocationContext) -> ControlOutput:
         return ControlOutput(
             control=ControlField(

invokeai/app/invocations/ip_adapter.py

@@ -2,7 +2,7 @@ import os
 from builtins import float
 from typing import List, Union
 
-from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
+from pydantic import BaseModel, ConfigDict, Field
 
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
@@ -15,7 +15,6 @@ from invokeai.app.invocations.baseinvocation import (
     invocation_output,
 )
 from invokeai.app.invocations.primitives import ImageField
-from invokeai.app.invocations.util import validate_begin_end_step, validate_weights
 from invokeai.app.shared.fields import FieldDescriptions
 from invokeai.backend.model_management.models.base import BaseModelType, ModelType
 from invokeai.backend.model_management.models.ip_adapter import get_ip_adapter_image_encoder_model_id
@@ -40,6 +39,7 @@ class IPAdapterField(BaseModel):
     ip_adapter_model: IPAdapterModelField = Field(description="The IP-Adapter model to use.")
     image_encoder_model: CLIPVisionModelField = Field(description="The name of the CLIP image encoder model.")
     weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
+    # weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.")
     begin_step_percent: float = Field(
         default=0, ge=0, le=1, description="When the IP-Adapter is first applied (% of total steps)"
     )
@@ -47,17 +47,6 @@ class IPAdapterField(BaseModel):
         default=1, ge=0, le=1, description="When the IP-Adapter is last applied (% of total steps)"
     )
 
-    @field_validator("weight")
-    @classmethod
-    def validate_ip_adapter_weight(cls, v):
-        validate_weights(v)
-        return v
-
-    @model_validator(mode="after")
-    def validate_begin_end_step_percent(self):
-        validate_begin_end_step(self.begin_step_percent, self.end_step_percent)
-        return self
-
 
 @invocation_output("ip_adapter_output")
 class IPAdapterOutput(BaseInvocationOutput):
@@ -65,7 +54,7 @@ class IPAdapterOutput(BaseInvocationOutput):
     ip_adapter: IPAdapterField = OutputField(description=FieldDescriptions.ip_adapter, title="IP-Adapter")
 
 
-@invocation("ip_adapter", title="IP-Adapter", tags=["ip_adapter", "control"], category="ip_adapter", version="1.1.1")
+@invocation("ip_adapter", title="IP-Adapter", tags=["ip_adapter", "control"], category="ip_adapter", version="1.1.0")
 class IPAdapterInvocation(BaseInvocation):
     """Collects IP-Adapter info to pass to other nodes."""
 
@@ -75,27 +64,18 @@ class IPAdapterInvocation(BaseInvocation):
         description="The IP-Adapter model.", title="IP-Adapter Model", input=Input.Direct, ui_order=-1
     )
 
+    # weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float)
     weight: Union[float, List[float]] = InputField(
-        default=1, description="The weight given to the IP-Adapter", title="Weight"
+        default=1, ge=-1, description="The weight given to the IP-Adapter", title="Weight"
     )
+
     begin_step_percent: float = InputField(
-        default=0, ge=0, le=1, description="When the IP-Adapter is first applied (% of total steps)"
+        default=0, ge=-1, le=2, description="When the IP-Adapter is first applied (% of total steps)"
     )
     end_step_percent: float = InputField(
         default=1, ge=0, le=1, description="When the IP-Adapter is last applied (% of total steps)"
     )
 
-    @field_validator("weight")
-    @classmethod
-    def validate_ip_adapter_weight(cls, v):
-        validate_weights(v)
-        return v
-
-    @model_validator(mode="after")
-    def validate_begin_end_step_percent(self):
-        validate_begin_end_step(self.begin_step_percent, self.end_step_percent)
-        return self
-
     def invoke(self, context: InvocationContext) -> IPAdapterOutput:
         # Lookup the CLIP Vision encoder that is intended to be used with the IP-Adapter model.
         ip_adapter_info = context.services.model_manager.model_info(

invokeai/app/invocations/latent.py

@@ -220,7 +220,7 @@ def get_scheduler(
     title="Denoise Latents",
     tags=["latents", "denoise", "txt2img", "t2i", "t2l", "img2img", "i2i", "l2l"],
     category="latents",
-    version="1.5.1",
+    version="1.5.0",
 )
 class DenoiseLatentsInvocation(BaseInvocation):
     """Denoises noisy latents to decodable images"""
@@ -279,7 +279,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         ui_order=7,
     )
     cfg_rescale_multiplier: float = InputField(
-        title="CFG Rescale Multiplier", default=0, ge=0, lt=1, description=FieldDescriptions.cfg_rescale_multiplier
+        default=0, ge=0, lt=1, description=FieldDescriptions.cfg_rescale_multiplier
     )
     latents: Optional[LatentsField] = InputField(
         default=None,

invokeai/app/invocations/t2i_adapter.py

@@ -1,6 +1,6 @@
 from typing import Union
 
-from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
+from pydantic import BaseModel, ConfigDict, Field
 
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
@@ -14,7 +14,6 @@ from invokeai.app.invocations.baseinvocation import (
 )
 from invokeai.app.invocations.controlnet_image_processors import CONTROLNET_RESIZE_VALUES
 from invokeai.app.invocations.primitives import ImageField
-from invokeai.app.invocations.util import validate_begin_end_step, validate_weights
 from invokeai.app.shared.fields import FieldDescriptions
 from invokeai.backend.model_management.models.base import BaseModelType
 
@@ -38,17 +37,6 @@ class T2IAdapterField(BaseModel):
     )
     resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
 
-    @field_validator("weight")
-    @classmethod
-    def validate_ip_adapter_weight(cls, v):
-        validate_weights(v)
-        return v
-
-    @model_validator(mode="after")
-    def validate_begin_end_step_percent(self):
-        validate_begin_end_step(self.begin_step_percent, self.end_step_percent)
-        return self
-
 
 @invocation_output("t2i_adapter_output")
 class T2IAdapterOutput(BaseInvocationOutput):
@@ -56,7 +44,7 @@ class T2IAdapterOutput(BaseInvocationOutput):
 
 
 @invocation(
-    "t2i_adapter", title="T2I-Adapter", tags=["t2i_adapter", "control"], category="t2i_adapter", version="1.0.1"
+    "t2i_adapter", title="T2I-Adapter", tags=["t2i_adapter", "control"], category="t2i_adapter", version="1.0.0"
 )
 class T2IAdapterInvocation(BaseInvocation):
     """Collects T2I-Adapter info to pass to other nodes."""
@@ -73,7 +61,7 @@ class T2IAdapterInvocation(BaseInvocation):
         default=1, ge=0, description="The weight given to the T2I-Adapter", title="Weight"
     )
     begin_step_percent: float = InputField(
-        default=0, ge=0, le=1, description="When the T2I-Adapter is first applied (% of total steps)"
+        default=0, ge=-1, le=2, description="When the T2I-Adapter is first applied (% of total steps)"
     )
     end_step_percent: float = InputField(
         default=1, ge=0, le=1, description="When the T2I-Adapter is last applied (% of total steps)"
@@ -83,17 +71,6 @@ class T2IAdapterInvocation(BaseInvocation):
         description="The resize mode applied to the T2I-Adapter input image so that it matches the target output size.",
     )
 
-    @field_validator("weight")
-    @classmethod
-    def validate_ip_adapter_weight(cls, v):
-        validate_weights(v)
-        return v
-
-    @model_validator(mode="after")
-    def validate_begin_end_step_percent(self):
-        validate_begin_end_step(self.begin_step_percent, self.end_step_percent)
-        return self
-
     def invoke(self, context: InvocationContext) -> T2IAdapterOutput:
         return T2IAdapterOutput(
             t2i_adapter=T2IAdapterField(

invokeai/app/invocations/util.py

@@ -1,14 +0,0 @@
-from typing import Union
-
-
-def validate_weights(weights: Union[float, list[float]]) -> None:
-    """Validate that all control weights in the valid range"""
-    to_validate = weights if isinstance(weights, list) else [weights]
-    if any(i < -1 or i > 2 for i in to_validate):
-        raise ValueError("Control weights must be within -1 to 2 range")
-
-
-def validate_begin_end_step(begin_step_percent: float, end_step_percent: float) -> None:
-    """Validate that begin_step_percent is less than end_step_percent"""
-    if begin_step_percent >= end_step_percent:
-        raise ValueError("Begin step percent must be less than or equal to end step percent")

invokeai/app/services/config/__init__.py

@@ -1,7 +1,5 @@
 """Init file for InvokeAI configure package."""
 
-from invokeai.app.services.config.config_common import PagingArgumentParser
-
 from .config_default import InvokeAIAppConfig, get_invokeai_config
 
-__all__ = ["InvokeAIAppConfig", "get_invokeai_config", "PagingArgumentParser"]
+__all__ = ["InvokeAIAppConfig", "get_invokeai_config"]

invokeai/app/services/invocation_processor/invocation_processor_default.py

@@ -1,4 +1,3 @@
-import cProfile
 import time
 import traceback
 from threading import BoundedSemaphore, Event, Thread
@@ -40,9 +39,6 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
             self.__threadLimit.acquire()
             queue_item: Optional[InvocationQueueItem] = None
 
-            profiler = None
-            last_gesid = None
-
             while not stop_event.is_set():
                 try:
                     queue_item = self.__invoker.services.queue.get()
@@ -53,21 +49,6 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     # do not hammer the queue
                     time.sleep(0.5)
                     continue
-
-                if last_gesid != queue_item.graph_execution_state_id:
-                    if profiler is not None:
-                        # I'm not sure what would cause us to get here, but if we do, we should restart the profiler for
-                        # the new graph_execution_state_id.
-                        profiler.disable()
-                        logger.info(f"Stopped profiler for {last_gesid}.")
-                        profiler = None
-                        last_gesid = None
-
-                    profiler = cProfile.Profile()
-                    profiler.enable()
-                    last_gesid = queue_item.graph_execution_state_id
-                    logger.info(f"Started profiling {last_gesid}.")
-
                 try:
                     graph_execution_state = self.__invoker.services.graph_execution_manager.get(
                         queue_item.graph_execution_state_id
@@ -220,13 +201,6 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                         queue_id=queue_item.session_queue_id,
                         graph_execution_state_id=graph_execution_state.id,
                     )
-                    if profiler is not None:
-                        profiler.disable()
-                        dump_path = f"{last_gesid}.prof"
-                        profiler.dump_stats(dump_path)
-                        logger.info(f"Saved profile to {dump_path}.")
-                        profiler = None
-                        last_gesid = None
 
         except KeyboardInterrupt:
             pass  # Log something? KeyboardInterrupt is probably not going to be seen by the processor

invokeai/app/services/shared/sqlite_migrator/migrations/migration_2.py

@@ -167,9 +167,6 @@ class Migration2Callback:
             except ImageFileNotFoundException:
                 self._logger.warning(f"Image {image_name} not found, skipping")
                 continue
-            except Exception as e:
-                self._logger.warning(f"Error while checking image {image_name}, skipping: {e}")
-                continue
             if "invokeai_workflow" in pil_image.info:
                 try:
                     UnsafeWorkflowWithVersionValidator.validate_json(pil_image.info.get("invokeai_workflow", ""))

invokeai/app/services/workflow_records/default_workflows/ESRGAN Upscaling with Canny ControlNet.json

@@ -459,7 +459,7 @@
               "name": "ControlNetModelField"
             },
             "value": {
-              "model_name": "canny",
+              "model_name": "sd-controlnet-canny",
               "base_model": "sd-1"
             }
           },

invokeai/app/services/workflow_records/default_workflows/Multi ControlNet (Canny & Depth).json

@@ -136,7 +136,7 @@
               "name": "ControlNetModelField"
             },
             "value": {
-              "model_name": "depth",
+              "model_name": "sd-controlnet-depth",
               "base_model": "sd-1"
             }
           },
@@ -444,7 +444,7 @@
               "name": "ControlNetModelField"
             },
             "value": {
-              "model_name": "canny",
+              "model_name": "sd-controlnet-canny",
               "base_model": "sd-1"
             }
           },

invokeai/app/services/workflow_records/workflow_records_sqlite.py

@@ -169,7 +169,7 @@ class SqliteWorkflowRecordsStorage(WorkflowRecordsStorageBase):
 
             self._cursor.execute(count_query, count_params)
             total = self._cursor.fetchone()[0]
-            pages = total // per_page + (total % per_page > 0)
+            pages = int(total / per_page) + 1
 
             return PaginatedResults(
                 items=workflows,

invokeai/backend/model_management/detect_baked_in_vae.py

@@ -1,31 +0,0 @@
-# Copyright (c) 2024 Lincoln Stein and the InvokeAI Development Team
-"""
-This module exports the function has_baked_in_sdxl_vae().
-It returns True if an SDXL checkpoint model has the original SDXL 1.0 VAE,
-which doesn't work properly in fp16 mode.
-"""
-
-import hashlib
-from pathlib import Path
-
-from safetensors.torch import load_file
-
-SDXL_1_0_VAE_HASH = "bc40b16c3a0fa4625abdfc01c04ffc21bf3cefa6af6c7768ec61eb1f1ac0da51"
-
-
-def has_baked_in_sdxl_vae(checkpoint_path: Path) -> bool:
-    """Return true if the checkpoint contains a custom (non SDXL-1.0) VAE."""
-    hash = _vae_hash(checkpoint_path)
-    return hash != SDXL_1_0_VAE_HASH
-
-
-def _vae_hash(checkpoint_path: Path) -> str:
-    checkpoint = load_file(checkpoint_path, device="cpu")
-    vae_keys = [x for x in checkpoint.keys() if x.startswith("first_stage_model.")]
-    hash = hashlib.new("sha256")
-    for key in vae_keys:
-        value = checkpoint[key]
-        hash.update(bytes(key, "UTF-8"))
-        hash.update(bytes(str(value), "UTF-8"))
-
-    return hash.hexdigest()

invokeai/backend/model_management/lora.py

@@ -13,7 +13,6 @@ from safetensors.torch import load_file
 from transformers import CLIPTextModel, CLIPTokenizer
 
 from invokeai.app.shared.models import FreeUConfig
-from invokeai.backend.model_management.model_load_optimizations import skip_torch_weight_init
 
 from .models.lora import LoRAModel
 
@@ -212,17 +211,11 @@ class ModelPatcher:
                 for i in range(ti_embedding.shape[0]):
                     new_tokens_added += ti_tokenizer.add_tokens(_get_trigger(ti_name, i))
 
-            # Modify text_encoder.
-            # resize_token_embeddings(...) constructs a new torch.nn.Embedding internally. Initializing the weights of
-            # this embedding is slow and unnecessary, so we wrap this step in skip_torch_weight_init() to save some
-            # time.
-            with skip_torch_weight_init():
-                text_encoder.resize_token_embeddings(init_tokens_count + new_tokens_added, pad_to_multiple_of)
+            # modify text_encoder
+            text_encoder.resize_token_embeddings(init_tokens_count + new_tokens_added, pad_to_multiple_of)
             model_embeddings = text_encoder.get_input_embeddings()
 
-            for ti_name, ti in ti_list:
-                ti_embedding = _get_ti_embedding(text_encoder.get_input_embeddings(), ti)
-
+            for ti_name, _ in ti_list:
                 ti_tokens = []
                 for i in range(ti_embedding.shape[0]):
                     embedding = ti_embedding[i]

invokeai/backend/model_management/model_probe.py

@@ -370,8 +370,6 @@ class LoRACheckpointProbe(CheckpointProbeBase):
             return BaseModelType.StableDiffusion1
         elif token_vector_length == 1024:
             return BaseModelType.StableDiffusion2
-        elif token_vector_length == 1280:
-            return BaseModelType.StableDiffusionXL  # recognizes format at https://civitai.com/models/224641
         elif token_vector_length == 2048:
             return BaseModelType.StableDiffusionXL
         else:

invokeai/backend/model_management/models/sdxl.py

@@ -1,16 +1,11 @@
 import json
 import os
 from enum import Enum
-from pathlib import Path
 from typing import Literal, Optional
 
 from omegaconf import OmegaConf
 from pydantic import Field
 
-from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.backend.model_management.detect_baked_in_vae import has_baked_in_sdxl_vae
-from invokeai.backend.util.logging import InvokeAILogger
-
 from .base import (
     BaseModelType,
     DiffusersModel,
@@ -121,28 +116,14 @@ class StableDiffusionXLModel(DiffusersModel):
         # The convert script adapted from the diffusers package uses
         # strings for the base model type. To avoid making too many
         # source code changes, we simply translate here
-        if Path(output_path).exists():
-            return output_path
-
         if isinstance(config, cls.CheckpointConfig):
             from invokeai.backend.model_management.models.stable_diffusion import _convert_ckpt_and_cache
 
-            # Hack in VAE-fp16 fix - If model sdxl-vae-fp16-fix is installed,
-            # then we bake it into the converted model unless there is already
-            # a nonstandard VAE installed.
-            kwargs = {}
-            app_config = InvokeAIAppConfig.get_config()
-            vae_path = app_config.models_path / "sdxl/vae/sdxl-vae-fp16-fix"
-            if vae_path.exists() and not has_baked_in_sdxl_vae(Path(model_path)):
-                InvokeAILogger.get_logger().warning("No baked-in VAE detected. Inserting sdxl-vae-fp16-fix.")
-                kwargs["vae_path"] = vae_path
-
             return _convert_ckpt_and_cache(
                 version=base_model,
                 model_config=config,
                 output_path=output_path,
                 use_safetensors=False,  # corrupts sdxl models for some reason
-                **kwargs,
             )
         else:
             return model_path

invokeai/backend/stable_diffusion/diffusers_pipeline.py

@@ -276,11 +276,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             self.disable_attention_slicing()
             return
         elif config.attention_type == "torch-sdp":
-            if hasattr(torch.nn.functional, "scaled_dot_product_attention"):
-                # diffusers enables sdp automatically
-                return
-            else:
-                raise Exception("torch-sdp attention slicing not available")
+            raise Exception("torch-sdp attention slicing not yet implemented")
 
         # the remainder if this code is called when attention_type=='auto'
         if self.unet.device.type == "cuda":
@@ -288,7 +284,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 self.enable_xformers_memory_efficient_attention()
                 return
             elif hasattr(torch.nn.functional, "scaled_dot_product_attention"):
-                # diffusers enables sdp automatically
+                # diffusers enable sdp automatically
                 return
 
         if self.unet.device.type == "cpu" or self.unet.device.type == "mps":

invokeai/backend/util/devices.py

@@ -44,7 +44,7 @@ def torch_dtype(device: torch.device) -> torch.dtype:
     if config.full_precision:
         return torch.float32
     if choose_precision(device) == "float16":
-        return torch.bfloat16 if device.type == "cuda" else torch.float16
+        return torch.float16
     else:
         return torch.float32
 

invokeai/frontend/install/invokeai_update.py

@@ -68,9 +68,12 @@ def welcome(latest_release: str, latest_prerelease: str):
         yield ""
         yield "This script will update InvokeAI to the latest release, or to the development version of your choice."
         yield ""
+        yield "When updating to an arbitrary tag or branch, be aware that the front end may be mismatched to the backend,"
+        yield "making the web frontend unusable. Please downgrade to the latest release if this happens."
+        yield ""
         yield "[bold yellow]Options:"
         yield f"""[1] Update to the latest [bold]official release[/bold] ([italic]{latest_release}[/italic])
-[2] Update to the latest [bold]pre-release[/bold] (may be buggy, database backups are recommended before installation; caveat emptor!) ([italic]{latest_prerelease}[/italic])
+[2] Update to the latest [bold]pre-release[/bold] (may be buggy; caveat emptor!) ([italic]{latest_prerelease}[/italic])
 [3] Manually enter the [bold]version[/bold] you wish to update to"""
 
     console.rule()

invokeai/frontend/web/.eslintignore

@@ -7,4 +7,4 @@ stats.html
 index.html
 .yarn/
 *.scss
-src/services/api/schema.ts
+src/services/api/schema.d.ts

invokeai/frontend/web/.eslintrc.js

@@ -28,16 +28,12 @@ module.exports = {
     'i18next',
     'path',
     'unused-imports',
-    'simple-import-sort',
-    'eslint-plugin-import',
-    // These rules are too strict for normal usage, but are useful for optimizing rerenders
-    // '@arthurgeron/react-usememo',
   ],
   root: true,
   rules: {
     'path/no-relative-imports': ['error', { maxDepth: 0 }],
     curly: 'error',
-    'i18next/no-literal-string': 'warn',
+    'i18next/no-literal-string': 2,
     'react/jsx-no-bind': ['error', { allowBind: true }],
     'react/jsx-curly-brace-presence': [
       'error',
@@ -47,7 +43,6 @@ module.exports = {
     'no-var': 'error',
     'brace-style': 'error',
     'prefer-template': 'error',
-    'import/no-duplicates': 'error',
     radix: 'error',
     'space-before-blocks': 'error',
     'import/prefer-default-export': 'off',
@@ -62,18 +57,6 @@ module.exports = {
         argsIgnorePattern: '^_',
       },
     ],
-    // These rules are too strict for normal usage, but are useful for optimizing rerenders
-    // '@arthurgeron/react-usememo/require-usememo': [
-    //   'warn',
-    //   {
-    //     strict: false,
-    //     checkHookReturnObject: false,
-    //     fix: { addImports: true },
-    //     checkHookCalls: false,
-
-    //   },
-    // ],
-    // '@arthurgeron/react-usememo/require-memo': 'warn',
     '@typescript-eslint/ban-ts-comment': 'warn',
     '@typescript-eslint/no-explicit-any': 'warn',
     '@typescript-eslint/no-empty-interface': [
@@ -82,26 +65,7 @@ module.exports = {
         allowSingleExtends: true,
       },
     ],
-    '@typescript-eslint/consistent-type-imports': [
-      'error',
-      {
-        prefer: 'type-imports',
-        fixStyle: 'separate-type-imports',
-        disallowTypeAnnotations: true,
-      },
-    ],
-    '@typescript-eslint/no-import-type-side-effects': 'error',
-    'simple-import-sort/imports': 'error',
-    'simple-import-sort/exports': 'error',
   },
-  overrides: [
-    {
-      files: ['*.stories.tsx'],
-      rules: {
-        'i18next/no-literal-string': 'off',
-      },
-    },
-  ],
   settings: {
     react: {
       version: 'detect',

invokeai/frontend/web/.gitignore

@@ -8,7 +8,6 @@ pnpm-debug.log*
 lerna-debug.log*
 
 node_modules
-.pnpm-store
 # We want to distribute the repo
 dist
 dist/**

invokeai/frontend/web/.prettierignore

@@ -9,8 +9,7 @@ index.html
 .yarn/
 .yalc/
 *.scss
-src/services/api/schema.ts
+src/services/api/schema.d.ts
 static/
 src/theme/css/overlayscrollbars.css
-src/theme_/css/overlayscrollbars.css
 pnpm-lock.yaml

invokeai/frontend/web/.storybook/ReduxInit.tsx

@@ -1,25 +0,0 @@
-import { PropsWithChildren, memo, useEffect } from 'react';
-import { modelChanged } from '../src/features/parameters/store/generationSlice';
-import { useAppDispatch } from '../src/app/store/storeHooks';
-import { useGlobalModifiersInit } from '../src/common/hooks/useGlobalModifiers';
-/**
- * Initializes some state for storybook. Must be in a different component
- * so that it is run inside the redux context.
- */
-export const ReduxInit = memo((props: PropsWithChildren) => {
-  const dispatch = useAppDispatch();
-  useGlobalModifiersInit();
-  useEffect(() => {
-    dispatch(
-      modelChanged({
-        model_name: 'test_model',
-        base_model: 'sd-1',
-        model_type: 'main',
-      })
-    );
-  }, []);
-
-  return props.children;
-});
-
-ReduxInit.displayName = 'ReduxInit';

invokeai/frontend/web/.storybook/main.ts

@@ -6,7 +6,6 @@ const config: StorybookConfig = {
     '@storybook/addon-links',
     '@storybook/addon-essentials',
     '@storybook/addon-interactions',
-    '@storybook/addon-storysource',
   ],
   framework: {
     name: '@storybook/react-vite',

invokeai/frontend/web/.storybook/preview.tsx

@@ -1,17 +1,16 @@
 import { Preview } from '@storybook/react';
 import { themes } from '@storybook/theming';
 import i18n from 'i18next';
+import React from 'react';
 import { initReactI18next } from 'react-i18next';
 import { Provider } from 'react-redux';
+import GlobalHotkeys from '../src/app/components/GlobalHotkeys';
 import ThemeLocaleProvider from '../src/app/components/ThemeLocaleProvider';
-import { $baseUrl } from '../src/app/store/nanostores/baseUrl';
 import { createStore } from '../src/app/store/store';
-import { Container } from '@chakra-ui/react';
 // TODO: Disabled for IDE performance issues with our translation JSON
 // eslint-disable-next-line @typescript-eslint/ban-ts-comment
 // @ts-ignore
 import translationEN from '../public/locales/en.json';
-import { ReduxInit } from './ReduxInit';
 
 i18n.use(initReactI18next).init({
   lng: 'en',
@@ -26,21 +25,17 @@ i18n.use(initReactI18next).init({
 });
 
 const store = createStore(undefined, false);
-$baseUrl.set('http://localhost:9090');
 
 const preview: Preview = {
   decorators: [
-    (Story) => {
-      return (
-        <Provider store={store}>
-          <ThemeLocaleProvider>
-            <ReduxInit>
-              <Story />
-            </ReduxInit>
-          </ThemeLocaleProvider>
-        </Provider>
-      );
-    },
+    (Story) => (
+      <Provider store={store}>
+        <ThemeLocaleProvider>
+          <GlobalHotkeys />
+          <Story />
+        </ThemeLocaleProvider>
+      </Provider>
+    ),
   ],
   parameters: {
     docs: {

invokeai/frontend/web/.unimportedrc.json

@@ -1,15 +0,0 @@
-{
-  "entry": ["src/main.tsx"],
-  "extensions": [".ts", ".tsx"],
-  "ignorePatterns": [
-    "**/node_modules/**",
-    "dist/**",
-    "public/**",
-    "**/*.stories.tsx",
-    "config/**"
-  ],
-  "ignoreUnresolved": [],
-  "ignoreUnimported": ["src/i18.d.ts", "vite.config.ts", "src/vite-env.d.ts"],
-  "respectGitignore": true,
-  "ignoreUnused": []
-}

invokeai/frontend/web/config/common.ts

@@ -1,6 +1,6 @@
 import react from '@vitejs/plugin-react-swc';
 import { visualizer } from 'rollup-plugin-visualizer';
-import type { PluginOption, UserConfig } from 'vite';
+import { PluginOption, UserConfig } from 'vite';
 import eslint from 'vite-plugin-eslint';
 import tsconfigPaths from 'vite-tsconfig-paths';
 

invokeai/frontend/web/config/vite.app.config.ts

@@ -1,6 +1,5 @@
-import type { UserConfig } from 'vite';
-
-import { commonPlugins } from './common.mjs';
+import { UserConfig } from 'vite';
+import { commonPlugins } from './common';
 
 export const appConfig: UserConfig = {
   base: './',

invokeai/frontend/web/config/vite.package.config.ts

@@ -1,9 +1,8 @@
 import path from 'path';
-import type { UserConfig } from 'vite';
-import cssInjectedByJsPlugin from 'vite-plugin-css-injected-by-js';
+import { UserConfig } from 'vite';
 import dts from 'vite-plugin-dts';
-
-import { commonPlugins } from './common.mjs';
+import cssInjectedByJsPlugin from 'vite-plugin-css-injected-by-js';
+import { commonPlugins } from './common';
 
 export const packageConfig: UserConfig = {
   base: './',

invokeai/frontend/web/index.html

@@ -1,26 +1,24 @@
 <!DOCTYPE html>
 <html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate">
+    <meta http-equiv="Pragma" content="no-cache">
+    <meta http-equiv="Expires" content="0">
+    <title>InvokeAI - A Stable Diffusion Toolkit</title>
+    <link rel="shortcut icon" type="icon" href="favicon.ico" />
+    <style>
+      html,
+      body {
+        padding: 0;
+        margin: 0;
+      }
+    </style>
+  </head>
 
-<head>
-  <meta charset="UTF-8" />
-  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-  <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate">
-  <meta http-equiv="Pragma" content="no-cache">
-  <meta http-equiv="Expires" content="0">
-  <title>Invoke - Community Edition</title>
-  <link rel="icon" type="icon" href="assets/images/invoke-favicon.svg" />
-  <style>
-    html,
-    body {
-      padding: 0;
-      margin: 0;
-    }
-  </style>
-</head>
-
-<body dir="ltr">
-  <div id="root"></div>
-  <script type="module" src="/src/main.tsx"></script>
-</body>
-
-</html>
+  <body dir="ltr">
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>

invokeai/frontend/web/package.json

@@ -31,17 +31,13 @@
     "lint": "concurrently -g -n eslint,prettier,tsc,madge -c cyan,green,magenta,yellow \"pnpm run lint:eslint\" \"pnpm run lint:prettier\" \"pnpm run lint:tsc\" \"pnpm run lint:madge\"",
     "fix": "eslint --fix . && prettier --log-level warn --write .",
     "preinstall": "npx only-allow pnpm",
-    "postinstall": "pnpm run theme",
+    "postinstall": "patch-package && pnpm run theme",
     "theme": "chakra-cli tokens src/theme/theme.ts",
     "theme:watch": "chakra-cli tokens src/theme/theme.ts --watch",
     "storybook": "storybook dev -p 6006",
-    "build-storybook": "storybook build",
-    "unimported": "npx unimported"
+    "build-storybook": "storybook build"
   },
   "madge": {
-    "excludeRegExp": [
-      "^index.ts$"
-    ],
     "detectiveOptions": {
       "ts": {
         "skipTypeImports": true
@@ -57,57 +53,56 @@
     "@chakra-ui/layout": "^2.3.1",
     "@chakra-ui/portal": "^2.1.0",
     "@chakra-ui/react": "^2.8.2",
-    "@chakra-ui/react-use-size": "^2.1.0",
     "@chakra-ui/styled-system": "^2.9.2",
     "@chakra-ui/theme-tools": "^2.1.2",
     "@dagrejs/graphlib": "^2.1.13",
     "@dnd-kit/core": "^6.1.0",
     "@dnd-kit/utilities": "^3.2.2",
-    "@emotion/react": "^11.11.3",
+    "@emotion/react": "^11.11.1",
     "@emotion/styled": "^11.11.0",
     "@fontsource-variable/inter": "^5.0.16",
-    "@mantine/form": "6.0.21",
+    "@mantine/core": "^6.0.19",
+    "@mantine/form": "^6.0.19",
+    "@mantine/hooks": "^6.0.19",
     "@nanostores/react": "^0.7.1",
-    "@reduxjs/toolkit": "2.0.1",
+    "@reduxjs/toolkit": "^2.0.1",
     "@roarr/browser-log-writer": "^1.3.0",
-    "chakra-react-select": "^4.7.6",
+    "@storybook/manager-api": "^7.6.4",
+    "@storybook/theming": "^7.6.4",
     "compare-versions": "^6.1.0",
     "dateformat": "^5.0.3",
-    "framer-motion": "^10.17.9",
-    "i18next": "^23.7.16",
+    "framer-motion": "^10.16.15",
+    "i18next": "^23.7.8",
     "i18next-http-backend": "^2.4.2",
     "idb-keyval": "^6.2.1",
-    "jsondiffpatch": "^0.6.0",
-    "konva": "^9.3.0",
+    "konva": "^9.2.3",
     "lodash-es": "^4.17.21",
     "nanostores": "^0.9.5",
     "new-github-issue-url": "^1.0.0",
-    "overlayscrollbars": "^2.4.6",
+    "overlayscrollbars": "^2.4.5",
     "overlayscrollbars-react": "^0.5.3",
+    "patch-package": "^8.0.0",
     "query-string": "^8.1.0",
     "react": "^18.2.0",
     "react-colorful": "^5.6.1",
     "react-dom": "^18.2.0",
     "react-dropzone": "^14.2.3",
-    "react-error-boundary": "^4.0.12",
-    "react-hook-form": "^7.49.2",
-    "react-hotkeys-hook": "4.4.3",
-    "react-i18next": "^14.0.0",
+    "react-error-boundary": "^4.0.11",
+    "react-hotkeys-hook": "4.4.1",
+    "react-i18next": "^13.5.0",
     "react-icons": "^4.12.0",
     "react-konva": "^18.2.10",
-    "react-redux": "9.0.4",
-    "react-resizable-panels": "^1.0.8",
-    "react-select": "5.8.0",
-    "react-textarea-autosize": "^8.5.3",
+    "react-redux": "^9.0.2",
+    "react-resizable-panels": "^0.0.55",
     "react-use": "^17.4.2",
     "react-virtuoso": "^4.6.2",
     "reactflow": "^11.10.1",
     "redux-dynamic-middlewares": "^2.2.0",
-    "redux-remember": "^5.1.0",
+    "redux-remember": "^5.0.0",
     "roarr": "^7.21.0",
     "serialize-error": "^11.0.3",
-    "socket.io-client": "^4.7.3",
-    "type-fest": "^4.9.0",
+    "socket.io-client": "^4.7.2",
+    "type-fest": "^4.8.3",
     "use-debounce": "^10.0.0",
     "use-image": "^1.1.1",
     "uuid": "^9.0.1",
@@ -122,56 +117,44 @@
     "ts-toolbelt": "^9.6.0"
   },
   "devDependencies": {
-    "@arthurgeron/eslint-plugin-react-usememo": "^2.2.3",
     "@chakra-ui/cli": "^2.4.1",
-    "@storybook/addon-docs": "^7.6.7",
-    "@storybook/addon-essentials": "^7.6.7",
-    "@storybook/addon-interactions": "^7.6.7",
-    "@storybook/addon-links": "^7.6.7",
-    "@storybook/addon-storysource": "^7.6.7",
-    "@storybook/blocks": "^7.6.7",
-    "@storybook/manager-api": "^7.6.7",
-    "@storybook/react": "^7.6.7",
-    "@storybook/react-vite": "^7.6.7",
-    "@storybook/test": "^7.6.7",
-    "@storybook/theming": "^7.6.7",
+    "@storybook/addon-essentials": "^7.6.4",
+    "@storybook/addon-interactions": "^7.6.4",
+    "@storybook/addon-links": "^7.6.4",
+    "@storybook/blocks": "^7.6.4",
+    "@storybook/react": "^7.6.4",
+    "@storybook/react-vite": "^7.6.4",
+    "@storybook/test": "^7.6.4",
     "@types/dateformat": "^5.0.2",
     "@types/lodash-es": "^4.17.12",
-    "@types/node": "^20.10.7",
-    "@types/react": "^18.2.47",
-    "@types/react-dom": "^18.2.18",
+    "@types/node": "^20.9.0",
+    "@types/react": "^18.2.37",
+    "@types/react-dom": "^18.2.17",
     "@types/uuid": "^9.0.7",
-    "@typescript-eslint/eslint-plugin": "^6.18.0",
-    "@typescript-eslint/parser": "^6.18.0",
+    "@typescript-eslint/eslint-plugin": "^6.13.2",
+    "@typescript-eslint/parser": "^6.13.2",
     "@vitejs/plugin-react-swc": "^3.5.0",
     "concurrently": "^8.2.2",
-    "eslint": "^8.56.0",
+    "eslint": "^8.55.0",
     "eslint-config-prettier": "^9.1.0",
     "eslint-plugin-i18next": "^6.0.3",
-    "eslint-plugin-import": "^2.29.1",
-    "eslint-plugin-path": "^1.2.3",
+    "eslint-plugin-path": "^1.2.2",
     "eslint-plugin-react": "^7.33.2",
     "eslint-plugin-react-hooks": "^4.6.0",
-    "eslint-plugin-simple-import-sort": "^10.0.0",
     "eslint-plugin-storybook": "^0.6.15",
     "eslint-plugin-unused-imports": "^3.0.0",
     "madge": "^6.1.0",
     "openapi-types": "^12.1.3",
-    "openapi-typescript": "^6.7.3",
-    "prettier": "^3.1.1",
-    "rollup-plugin-visualizer": "^5.12.0",
-    "storybook": "^7.6.7",
+    "openapi-typescript": "^6.7.2",
+    "prettier": "^3.1.0",
+    "rollup-plugin-visualizer": "^5.10.0",
+    "storybook": "^7.6.4",
     "ts-toolbelt": "^9.6.0",
     "typescript": "^5.3.3",
-    "vite": "^5.0.11",
-    "vite-plugin-css-injected-by-js": "^3.3.1",
-    "vite-plugin-dts": "^3.7.0",
+    "vite": "^4.5.1",
+    "vite-plugin-css-injected-by-js": "^3.3.0",
+    "vite-plugin-dts": "^3.6.4",
     "vite-plugin-eslint": "^1.8.1",
-    "vite-tsconfig-paths": "^4.2.3"
-  },
-  "pnpm": {
-    "patchedDependencies": {
-      "reselect@5.0.1": "patches/reselect@5.0.1.patch"
-    }
+    "vite-tsconfig-paths": "^4.2.2"
   }
 }

invokeai/frontend/web/public/assets/images/invoke-avatar-circle.svg

@@ -1,4 +0,0 @@
-<svg width="100" height="100" viewBox="0 0 100 100" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="100" height="100" rx="50" fill="#E6FD13"/>
-<path d="M55.8887 40.7241H66.369V33.6309H33.6309V40.7241H44.1111L55.8887 59.2757H66.369V66.369H33.6309V59.2757H44.1111" stroke="#181818" stroke-width="2.5"/>
-</svg>

invokeai/frontend/web/public/assets/images/invoke-avatar-square.svg

@@ -1,4 +0,0 @@
-<svg width="100" height="100" viewBox="0 0 100 100" fill="none" xmlns="http://www.w3.org/2000/svg">
-<rect width="100" height="100" fill="#E6FD13"/>
-<path d="M55.8887 40.7241H66.369V33.6309H33.6309V40.7241H44.1111L55.8887 59.2757H66.369V66.369H33.6309V59.2757H44.1111" stroke="#181818" stroke-width="2.5"/>
-</svg>

invokeai/frontend/web/public/assets/images/invoke-favicon.svg

@@ -1,4 +0,0 @@
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-</svg>

invokeai/frontend/web/public/assets/images/invoke-key-char-lrg.svg

@@ -1,4 +0,0 @@
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invokeai/frontend/web/public/assets/images/invoke-key-char-sml.svg

@@ -1,4 +0,0 @@
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invokeai/frontend/web/public/assets/images/invoke-key-wht-lrg.svg

@@ -1,4 +0,0 @@
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-</svg>

invokeai/frontend/web/public/assets/images/invoke-key-wht-sml.svg

@@ -1,4 +0,0 @@
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-<rect x="1" y="1" width="40" height="40" rx="4" stroke="white" stroke-width="2"/>
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-</svg>

invokeai/frontend/web/public/assets/images/invoke-symbol-char-lrg.svg

@@ -1,3 +0,0 @@
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invokeai/frontend/web/public/assets/images/invoke-symbol-char-sml.svg

@@ -1,3 +0,0 @@
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