change download links to release candidate

This makes a cosmetic change. Instead of calling preload_models.py
(deprecated) it calls configure_invokeai.py. Currently the two do
the same thing.

.dockerignore

@@ -1,3 +1,12 @@
 *
-!environment*.yml
-!docker-build
+!backend
+!configs
+!environments-and-requirements
+!frontend
+!installer
+!ldm
+!main.py
+!scripts
+!server
+!static
+!setup.py

.editorconfig

@@ -0,0 +1,12 @@
+# All files
+[*]
+charset = utf-8
+end_of_line = lf
+indent_size = 2
+indent_style = space
+insert_final_newline = true
+trim_trailing_whitespace = true
+
+# Python
+[*.py]
+indent_size = 4

.github/CODEOWNERS

@@ -3,3 +3,5 @@ ldm/invoke/server_legacy.py @CapableWeb
 scripts/legacy_api.py @CapableWeb
 tests/legacy_tests.sh @CapableWeb
 installer/ @tildebyte
+.github/workflows/ @mauwii
+docker_build/ @mauwii

.github/workflows/build-container.yml

@@ -6,6 +6,7 @@ on:
     branches:
       - 'main'
       - 'development'
+      - 'update-dockerfile'
 
 jobs:
   docker:
@@ -15,13 +16,11 @@ jobs:
         arch:
           - x86_64
           - aarch64
-        include:
-          - arch: x86_64
-            conda-env-file: environment-lin-cuda.yml
-          - arch: aarch64
-            conda-env-file: environment-lin-aarch64.yml
+        pip-requirements:
+          - requirements-lin-amd.txt
+          - requirements-lin-cuda.txt
     runs-on: ubuntu-latest
-    name: ${{ matrix.arch }}
+    name: ${{ matrix.pip-requirements }} ${{ matrix.arch }}
     steps:
       - name: prepare docker-tag
         env:
@@ -40,9 +39,5 @@ jobs:
           file: docker-build/Dockerfile
           platforms: Linux/${{ matrix.arch }}
           push: false
-          tags: ${{ env.dockertag }}:${{ matrix.arch }}
-          build-args: |
-            conda_env_file=${{ matrix.conda-env-file }}
-            conda_version=py39_4.12.0-Linux-${{ matrix.arch }}
-            invokeai_git=${{ github.repository }}
-            invokeai_branch=${{ github.ref_name }}
+          tags: ${{ env.dockertag }}:${{ matrix.pip-requirements }}-${{ matrix.arch }}
+          build-args: pip_requirements=${{ matrix.pip-requirements }}

.github/workflows/mkdocs-material.yml

@@ -22,7 +22,7 @@ jobs:
       - name: install requirements
         run: |
           python -m \
-            pip install -r requirements-mkdocs.txt
+            pip install -r docs/requirements-mkdocs.txt
 
       - name: confirm buildability
         run: |

.github/workflows/test-invoke-conda.yml

@@ -13,31 +13,32 @@ on:
 jobs:
   matrix:
     strategy:
-      fail-fast: false
       matrix:
         stable-diffusion-model:
-          # - 'https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt'
-          - 'https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt'
-        os:
-          - ubuntu-latest
-          - macOS-12
+          - 'stable-diffusion-1.5'
+        environment-yaml:
+          - environment-lin-amd.yml
+          - environment-lin-cuda.yml
+          - environment-mac.yml
         include:
-          - os: ubuntu-latest
-            environment-file: environment-lin-cuda.yml
+          - environment-yaml: environment-lin-amd.yml
+            os: ubuntu-latest
             default-shell: bash -l {0}
-          - os: macOS-12
-            environment-file: environment-mac.yml
+          - environment-yaml: environment-lin-cuda.yml
+            os: ubuntu-latest
             default-shell: bash -l {0}
-          # - stable-diffusion-model: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt
-          #   stable-diffusion-model-dl-path: models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
-          #   stable-diffusion-model-switch: stable-diffusion-1.4
-          - stable-diffusion-model: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
-            stable-diffusion-model-dl-path: models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
-            stable-diffusion-model-switch: stable-diffusion-1.5
-    name: ${{ matrix.os }} with ${{ matrix.stable-diffusion-model-switch }}
+          - environment-yaml: environment-mac.yml
+            os: macos-12
+            default-shell: bash -l {0}
+          - stable-diffusion-model: stable-diffusion-1.5
+            stable-diffusion-model-url: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
+            stable-diffusion-model-dl-path: models/ldm/stable-diffusion-v1
+            stable-diffusion-model-dl-name: v1-5-pruned-emaonly.ckpt
+    name: ${{ matrix.environment-yaml }} on ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
     env:
       CONDA_ENV_NAME: invokeai
+      INVOKEAI_ROOT: '${{ github.workspace }}/invokeai'
     defaults:
       run:
         shell: ${{ matrix.default-shell }}
@@ -47,17 +48,19 @@ jobs:
         uses: actions/checkout@v3
 
       - name: create models.yaml from example
-        run: cp configs/models.yaml.example configs/models.yaml
+        run: |
+          mkdir -p ${{ env.INVOKEAI_ROOT }}/configs
+          cp configs/models.yaml.example ${{ env.INVOKEAI_ROOT }}/configs/models.yaml
 
       - name: create environment.yml
-        run: cp environments-and-requirements/${{ matrix.environment-file }} environment.yml
+        run: cp "environments-and-requirements/${{ matrix.environment-yaml }}" environment.yml
 
       - name: Use cached conda packages
         id: use-cached-conda-packages
         uses: actions/cache@v3
         with:
           path: ~/conda_pkgs_dir
-          key: conda-pkgs-${{ runner.os }}-${{ runner.arch }}-${{ hashFiles(matrix.environment-file) }}
+          key: conda-pkgs-${{ runner.os }}-${{ runner.arch }}-${{ hashFiles(matrix.environment-yaml) }}
 
       - name: Activate Conda Env
         id: activate-conda-env
@@ -83,34 +86,40 @@ jobs:
         id: cache-sd-model
         uses: actions/cache@v3
         env:
-          cache-name: cache-${{ matrix.stable-diffusion-model-switch }}
+          cache-name: cache-${{ matrix.stable-diffusion-model }}
         with:
-          path: ${{ matrix.stable-diffusion-model-dl-path }}
+          path: ${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}
           key: ${{ env.cache-name }}
 
-      - name: Download ${{ matrix.stable-diffusion-model-switch }}
+      - name: Download ${{ matrix.stable-diffusion-model }}
         id: download-stable-diffusion-model
         if: ${{ steps.cache-sd-model.outputs.cache-hit != 'true' }}
         run: |
-          [[ -d models/ldm/stable-diffusion-v1 ]] \
-            || mkdir -p models/ldm/stable-diffusion-v1
+          mkdir -p "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}"
           curl \
             -H "Authorization: Bearer ${{ secrets.HUGGINGFACE_TOKEN }}" \
-            -o ${{ matrix.stable-diffusion-model-dl-path }} \
-            -L ${{ matrix.stable-diffusion-model }}
+            -o "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}/${{ matrix.stable-diffusion-model-dl-name }}" \
+            -L ${{ matrix.stable-diffusion-model-url }}
 
-      - name: run preload_models.py
+      - name: run configure_invokeai.py
         id: run-preload-models
         run: |
-          python scripts/preload_models.py \
-            --no-interactive
+          python scripts/configure_invokeai.py --no-interactive --yes
+
+      - name: cat ~/.invokeai
+        id: cat-invokeai
+        run: cat ~/.invokeai
 
       - name: Run the tests
         id: run-tests
         run: |
           time python scripts/invoke.py \
-            --model ${{ matrix.stable-diffusion-model-switch }} \
-            --from_file ${{ env.TEST_PROMPTS }}
+            --no-patchmatch \
+            --no-nsfw_checker \
+            --model ${{ matrix.stable-diffusion-model }} \
+            --from_file ${{ env.TEST_PROMPTS }} \
+            --root="${{ env.INVOKEAI_ROOT }}" \
+            --outdir="${{ env.INVOKEAI_ROOT }}/outputs"
 
       - name: export conda env
         id: export-conda-env
@@ -122,5 +131,5 @@ jobs:
         id: archive-results
         uses: actions/upload-artifact@v3
         with:
-          name: results_${{ matrix.os }}_${{ matrix.stable-diffusion-model-switch }}
-          path: outputs/img-samples
+          name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
+          path: ${{ env.INVOKEAI_ROOT }}/outputs

.github/workflows/test-invoke-pip.yml

@@ -0,0 +1,128 @@
+name: Test invoke.py pip
+on:
+  push:
+    branches:
+      - 'main'
+      - 'development'
+  pull_request:
+    branches:
+      - 'main'
+      - 'development'
+
+jobs:
+  matrix:
+    strategy:
+      matrix:
+        stable-diffusion-model:
+          - stable-diffusion-1.5
+        requirements-file:
+          - requirements-lin-cuda.txt
+          - requirements-lin-amd.txt
+          - requirements-mac-mps-cpu.txt
+        python-version:
+          # - '3.9'
+          - '3.10'
+        include:
+          - requirements-file: requirements-lin-cuda.txt
+            os: ubuntu-latest
+            default-shell: bash -l {0}
+          - requirements-file: requirements-lin-amd.txt
+            os: ubuntu-latest
+            default-shell: bash -l {0}
+          - requirements-file: requirements-mac-mps-cpu.txt
+            os: macOS-12
+            default-shell: bash -l {0}
+          - stable-diffusion-model: stable-diffusion-1.5
+            stable-diffusion-model-url: https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
+            stable-diffusion-model-dl-path: models/ldm/stable-diffusion-v1
+            stable-diffusion-model-dl-name: v1-5-pruned-emaonly.ckpt
+    name: ${{ matrix.requirements-file }} on ${{ matrix.python-version }}
+    runs-on: ${{ matrix.os }}
+    defaults:
+      run:
+        shell: ${{ matrix.default-shell }}
+    env:
+      INVOKEAI_ROOT: '${{ github.workspace }}/invokeai'
+    steps:
+      - name: Checkout sources
+        id: checkout-sources
+        uses: actions/checkout@v3
+
+      - name: create models.yaml from example
+        run: |
+          mkdir -p ${{ env.INVOKEAI_ROOT }}/configs
+          cp configs/models.yaml.example ${{ env.INVOKEAI_ROOT }}/configs/models.yaml
+
+      - name: set test prompt to main branch validation
+        if: ${{ github.ref == 'refs/heads/main' }}
+        run: echo "TEST_PROMPTS=tests/preflight_prompts.txt" >> $GITHUB_ENV
+
+      - name: set test prompt to development branch validation
+        if: ${{ github.ref == 'refs/heads/development' }}
+        run: echo "TEST_PROMPTS=tests/dev_prompts.txt" >> $GITHUB_ENV
+
+      - name: set test prompt to Pull Request validation
+        if: ${{ github.ref != 'refs/heads/main' && github.ref != 'refs/heads/development' }}
+        run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> $GITHUB_ENV
+
+      - name: create requirements.txt
+        run: cp 'environments-and-requirements/${{ matrix.requirements-file }}' '${{ matrix.requirements-file }}'
+
+      - name: setup python
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: 'pip'
+          cache-dependency-path: ${{ matrix.requirements-file }}
+
+      # - name: install dependencies
+      #   run: ${{ env.pythonLocation }}/bin/pip install --upgrade pip setuptools wheel
+
+      - name: install requirements
+        run: ${{ env.pythonLocation }}/bin/pip install -r '${{ matrix.requirements-file }}'
+
+      - name: Use Cached Stable Diffusion Model
+        id: cache-sd-model
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-${{ matrix.stable-diffusion-model }}
+        with:
+          path: ${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}
+          key: ${{ env.cache-name }}
+
+      - name: Download ${{ matrix.stable-diffusion-model }}
+        id: download-stable-diffusion-model
+        if: ${{ steps.cache-sd-model.outputs.cache-hit != 'true' }}
+        run: |
+          mkdir -p "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}"
+          curl \
+            -H "Authorization: Bearer ${{ secrets.HUGGINGFACE_TOKEN }}" \
+            -o "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}/${{ matrix.stable-diffusion-model-dl-name }}" \
+            -L ${{ matrix.stable-diffusion-model-url }}
+
+      - name: run configure_invokeai.py
+        id: run-preload-models
+        run: |
+          ${{ env.pythonLocation }}/bin/python scripts/configure_invokeai.py --no-interactive --yes
+
+      - name: cat ~/.invokeai
+        id: cat-invokeai
+        run: cat ~/.invokeai
+
+      - name: Run the tests
+        id: run-tests
+        run: |
+          time ${{ env.pythonLocation }}/bin/python scripts/invoke.py \
+            --no-patchmatch \
+            --no-nsfw_checker \
+            --model ${{ matrix.stable-diffusion-model }} \
+            --from_file ${{ env.TEST_PROMPTS }} \
+            --root="${{ env.INVOKEAI_ROOT }}" \
+            --outdir="${{ env.INVOKEAI_ROOT }}/outputs"
+
+      - name: Archive results
+        id: archive-results
+        uses: actions/upload-artifact@v3
+        with:
+          name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
+          path: ${{ env.INVOKEAI_ROOT }}/outputs

.gitignore

@@ -194,10 +194,6 @@ checkpoints
 
 # Let the frontend manage its own gitignore
 !frontend/*
-frontend/apt-get
-frontend/dist
-frontend/sudo
-frontend/update
 
 # Scratch folder
 .scratch/
@@ -218,7 +214,7 @@ models/clipseg
 models/gfpgan
 
 # ignore initfile
-invokeai.init
+.invokeai
 
 # ignore environment.yml and requirements.txt
 # these are links to the real files in environments-and-requirements
@@ -235,3 +231,6 @@ update.sh
 
 # this may be present if the user created a venv
 invokeai
+
+# no longer stored in source directory
+models

CODE_OF_CONDUCT.md

@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior
+may be reported to the community leaders responsible for enforcement
+at https://github.com/invoke-ai/InvokeAI/issues.  All complaints will
+be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

InvokeAI_Statement_of_Values.md

@@ -0,0 +1,85 @@
+<img src="docs/assets/invoke_ai_banner.png" align="center">
+
+Invoke-AI is a community of software developers, researchers, and user
+interface experts who have come together on a voluntary basis to build
+software tools which support cutting edge AI text-to-image
+applications. This community is open to anyone who wishes to
+contribute to the effort and has the skill and time to do so.
+
+# Our Values
+
+The InvokeAI team is a diverse community which includes individuals
+from various parts of the world and many walks of life. Despite our
+differences, we share a number of core values which we ask prospective
+contributors to understand and respect. We believe:
+
+1. That Open Source Software is a positive force in the world. We
+create software that can be used, reused, and redistributed, without
+restrictions, under a straightforward Open Source license (MIT). We
+believe that Open Source benefits society as a whole by increasing the
+availability of high quality software to all.
+
+2. That those who create software should receive proper attribution
+for their creative work. While we support the exchange and reuse of
+Open Source Software, we feel strongly that the original authors of a
+piece of code should receive credit for their contribution, and we
+endeavor to do so whenever possible.
+
+3. That there is moral ambiguity surrounding AI-assisted art. We are
+aware of the moral and ethical issues surrounding the release of the
+Stable Diffusion model and similar products. We are aware that, due to
+the composition of their training sets, current AI-generated image
+models are biased against certain ethnic groups, cultural concepts of
+beauty, ethnic stereotypes, and gender roles.
+
+      1. We recognize the potential for harm to these groups that these biases
+       represent and trust that future AI models will take steps towards
+       reducing or eliminating the biases noted above, respect and give due
+       credit to the artists whose work is sourced, and call on developers
+       and users to favor these models over the older ones as they become
+       available.
+
+4. We are deeply committed to ensuring that this technology benefits
+everyone, including artists. We see AI art not as a replacement for
+the artist, but rather as a tool to empower them. With that
+in mind, we are constantly debating how to build systems that put
+artists’ needs first: tools which can be readily integrated into an
+artist’s existing workflows and practices, enhancing their work and
+helping them to push it further. Every decision we take as a team,
+which includes several artists, aims to build towards that goal.
+
+5. That artificial intelligence can be a force for good in the world,
+but must be used responsibly. Artificial intelligence technologies
+have the potential to improve society, in everything from cancer care,
+to customer service, to creative writing.
+
+     1. While we do not believe that software should arbitrarily limit what
+     users can do with it, we recognize that when used irresponsibly, AI
+     has the potential to do much harm. Our Discord server is actively
+     moderated in order to minimize the potential of harm from
+     user-contributed images. In addition, we ask users of our software to
+     refrain from using it in any way that would cause mental, emotional or
+     physical harm to individuals and vulnerable populations including (but
+     not limited to) women; minors; ethnic minorities; religious groups;
+     members of LGBTQIA communities; and people with disabilities or
+     impairments.
+
+     2. Note that some of the image generation AI models which the Invoke-AI
+     toolkit supports carry licensing agreements which impose restrictions
+     on how the model is used. We ask that our users read and agree to
+     these terms if they wish to make use of these models. These agreements
+     are distinct from the MIT license which applies to the InvokeAI
+     software and source code.
+
+6. That mutual respect is key to a healthy software development
+community. Members of the InvokeAI community are expected to treat
+each other with respect, beneficence, and empathy. Each of us has a
+different background and a unique set of skills. We strive to help
+each other grow and gain new skills, and we apportion expectations in
+a way that balances the members' time, skillset, and interest
+area. Disputes are resolved by open and honest communication.
+
+## Signature
+
+This document has been collectively crafted and approved by the current InvokeAI team members, as of 28 Nov 2022: **lstein** (Lincoln Stein), **blessedcoolant**, **hipsterusername** (Kent Keirsey), **Kyle0654** (Kyle Schouviller), **damian0815**, **mauwii** (Matthias Wild), **Netsvetaev** (Artur Netsvetaev), **psychedelicious**, **tildebyte**, and **keturn**. Although individuals within the group may hold differing views on particular details and/or their implications, we are all in agreement about its fundamental statements, as well as their significance and importance to this project moving forward.  
+

README.md

@@ -172,15 +172,22 @@ problems and other issues.
 # Contributing
 
 Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
-cleanup, testing, or code reviews, is very much encouraged to do so. If you are unfamiliar with how
-to contribute to GitHub projects, here is a
-[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github).
+cleanup, testing, or code reviews, is very much encouraged to do so. To join, just raise your hand on the InvokeAI
+Discord server or discussion board. 
 
-A full set of contribution guidelines, along with templates, are in progress, but for now the most
+If you are unfamiliar with how
+to contribute to GitHub projects, here is a
+[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress, but for now the most
 important thing is to **make your pull request against the "development" branch**, and not against
 "main". This will help keep public breakage to a minimum and will allow you to propose more radical
 changes.
 
+We hope you enjoy using our software as much as we enjoy creating it,
+and we hope that some of those of you who are reading this will elect
+to become part of our community.
+
+Welcome to InvokeAI!
+
 ### Contributors
 
 This fork is a combined effort of various people from across the world.

backend/modules/get_canvas_generation_mode.py

@@ -0,0 +1,117 @@
+from PIL import Image, ImageChops
+from PIL.Image import Image as ImageType
+from typing import Union, Literal
+
+# https://stackoverflow.com/questions/43864101/python-pil-check-if-image-is-transparent
+def check_for_any_transparency(img: Union[ImageType, str]) -> bool:
+    if type(img) is str:
+        img = Image.open(str)
+
+    if img.info.get("transparency", None) is not None:
+        return True
+    if img.mode == "P":
+        transparent = img.info.get("transparency", -1)
+        for _, index in img.getcolors():
+            if index == transparent:
+                return True
+    elif img.mode == "RGBA":
+        extrema = img.getextrema()
+        if extrema[3][0] < 255:
+            return True
+    return False
+
+
+def get_canvas_generation_mode(
+    init_img: Union[ImageType, str], init_mask: Union[ImageType, str]
+) -> Literal["txt2img", "outpainting", "inpainting", "img2img",]:
+    if type(init_img) is str:
+        init_img = Image.open(init_img)
+
+    if type(init_mask) is str:
+        init_mask = Image.open(init_mask)
+
+    init_img = init_img.convert("RGBA")
+
+    # Get alpha from init_img
+    init_img_alpha = init_img.split()[-1]
+    init_img_alpha_mask = init_img_alpha.convert("L")
+    init_img_has_transparency = check_for_any_transparency(init_img)
+
+    if init_img_has_transparency:
+        init_img_is_fully_transparent = (
+            True if init_img_alpha_mask.getbbox() is None else False
+        )
+
+    """
+    Mask images are white in areas where no change should be made, black where changes 
+    should be made.
+    """
+
+    # Fit the mask to init_img's size and convert it to greyscale
+    init_mask = init_mask.resize(init_img.size).convert("L")
+
+    """
+    PIL.Image.getbbox() returns the bounding box of non-zero areas of the image, so we first
+    invert the mask image so that masked areas are white and other areas black == zero.
+    getbbox() now tells us if the are any masked areas.
+    """
+    init_mask_bbox = ImageChops.invert(init_mask).getbbox()
+    init_mask_exists = False if init_mask_bbox is None else True
+
+    if init_img_has_transparency:
+        if init_img_is_fully_transparent:
+            return "txt2img"
+        else:
+            return "outpainting"
+    else:
+        if init_mask_exists:
+            return "inpainting"
+        else:
+            return "img2img"
+
+
+def main():
+    # Testing
+    init_img_opaque = "test_images/init-img_opaque.png"
+    init_img_partial_transparency = "test_images/init-img_partial_transparency.png"
+    init_img_full_transparency = "test_images/init-img_full_transparency.png"
+    init_mask_no_mask = "test_images/init-mask_no_mask.png"
+    init_mask_has_mask = "test_images/init-mask_has_mask.png"
+
+    print(
+        "OPAQUE IMAGE, NO MASK, expect img2img, got ",
+        get_canvas_generation_mode(init_img_opaque, init_mask_no_mask),
+    )
+
+    print(
+        "IMAGE WITH TRANSPARENCY, NO MASK, expect outpainting, got ",
+        get_canvas_generation_mode(
+            init_img_partial_transparency, init_mask_no_mask
+        ),
+    )
+
+    print(
+        "FULLY TRANSPARENT IMAGE NO MASK, expect txt2img, got ",
+        get_canvas_generation_mode(init_img_full_transparency, init_mask_no_mask),
+    )
+
+    print(
+        "OPAQUE IMAGE, WITH MASK, expect inpainting, got ",
+        get_canvas_generation_mode(init_img_opaque, init_mask_has_mask),
+    )
+
+    print(
+        "IMAGE WITH TRANSPARENCY, WITH MASK, expect outpainting, got ",
+        get_canvas_generation_mode(
+            init_img_partial_transparency, init_mask_has_mask
+        ),
+    )
+
+    print(
+        "FULLY TRANSPARENT IMAGE WITH MASK, expect txt2img, got ",
+        get_canvas_generation_mode(init_img_full_transparency, init_mask_has_mask),
+    )
+
+
+if __name__ == "__main__":
+    main()

backend/modules/parameters.py

@@ -5,6 +5,8 @@ SAMPLER_CHOICES = [
     "ddim",
     "k_dpm_2_a",
     "k_dpm_2",
+    "k_dpmpp_2_a",
+    "k_dpmpp_2",
     "k_euler_a",
     "k_euler",
     "k_heun",

binary_installer/create_installers.sh

@@ -9,20 +9,21 @@ read -p "Press any key to continue, or CTRL-C to exit..."
 # make the installer zip for linux and mac
 rm -rf InvokeAI
 mkdir -p InvokeAI
-cp install.sh InvokeAI
+cp install.sh.in InvokeAI/install.sh
+chmod a+x InvokeAI/install.sh
 cp readme.txt InvokeAI
 
-zip -r InvokeAI-linux.zip InvokeAI
-zip -r InvokeAI-mac.zip InvokeAI
+zip -r InvokeAI-binary-linux.zip InvokeAI
+zip -r InvokeAI-binary-mac.zip InvokeAI
 
 # make the installer zip for windows
 rm -rf InvokeAI
 mkdir -p InvokeAI
-cp install.bat InvokeAI
+cp install.bat.in InvokeAI/install.bat
 cp readme.txt InvokeAI
 cp WinLongPathsEnabled.reg InvokeAI
 
-zip -r InvokeAI-windows.zip InvokeAI
+zip -r InvokeAI-binary-windows.zip InvokeAI
 
 rm -rf InvokeAI
 

binary_installer/install.bat.in

@@ -10,10 +10,13 @@
 
 @rem This enables a user to install this project without manually installing git or Python
 
+set "no_cache_dir=--no-cache-dir"
+if "%1" == "use-cache" (
+    set "no_cache_dir="
+)
+
 echo ***** Installing InvokeAI.. *****
-
-set PATH=c:\windows\system32
-
+echo "USING development BRANCH. REMEMBER TO CHANGE TO main BEFORE RELEASE"
 @rem Config
 set INSTALL_ENV_DIR=%cd%\installer_files\env
 @rem https://mamba.readthedocs.io/en/latest/installation.html
@@ -65,7 +68,8 @@ set PATH=%INSTALL_ENV_DIR%\Library\bin;%PATH%
 
 @rem Download/unpack/clean up InvokeAI release sourceball
 set err_msg=----- InvokeAI source download failed -----
-curl -L %RELEASE_URL%/%RELEASE_SOURCEBALL% --output InvokeAI.tgz
+echo Trying to download "%RELEASE_URL%%RELEASE_SOURCEBALL%"
+curl -L %RELEASE_URL%%RELEASE_SOURCEBALL% --output InvokeAI.tgz
 if %errorlevel% neq 0 goto err_exit
 
 set err_msg=----- InvokeAI source unpack failed -----
@@ -103,11 +107,8 @@ echo ***** Unpacked python-build-standalone *****
 @rem create venv
 set err_msg=----- problem creating venv -----
 .\python\python -E -s -m venv .venv
-@rem In reality, the following is ALL that 'activate.bat' does,
-@rem aside from setting the prompt, which we don't care about
-set PYTHONPATH=
-set PATH=.venv\Scripts;%PATH%
 if %errorlevel% neq 0 goto err_exit
+call .venv\Scripts\activate.bat
 
 echo ***** Created Python virtual environment *****
 
@@ -118,43 +119,40 @@ echo We're running under
 if %errorlevel% neq 0 goto err_exit
 
 set err_msg=----- pip update failed -----
-.venv\Scripts\python -m pip install --no-cache-dir --no-warn-script-location --upgrade pip
+.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location --upgrade pip wheel
 if %errorlevel% neq 0 goto err_exit
 
-echo ***** Updated pip *****
+echo ***** Updated pip and wheel *****
 
 set err_msg=----- requirements file copy failed -----
-copy installer\py3.10-windows-x86_64-cuda-reqs.txt requirements.txt
+copy binary_installer\py3.10-windows-x86_64-cuda-reqs.txt requirements.txt
 if %errorlevel% neq 0 goto err_exit
 
 set err_msg=----- main pip install failed -----
-.venv\Scripts\python -m pip install --no-cache-dir --no-warn-script-location -r requirements.txt
-if %errorlevel% neq 0 goto err_exit
-
-set err_msg=----- clipseg install failed -----
-.venv\Scripts\python -m pip install --no-cache-dir --no-warn-script-location git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-if %errorlevel% neq 0 goto err_exit
-
-set err_msg=----- InvokeAI setup failed -----
-.venv\Scripts\python -m pip install --no-cache-dir --no-warn-script-location -e .
+.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location -r requirements.txt
 if %errorlevel% neq 0 goto err_exit
 
 echo ***** Installed Python dependencies *****
 
+set err_msg=----- InvokeAI setup failed -----
+.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location -e .
+if %errorlevel% neq 0 goto err_exit
+
+copy binary_installer\invoke.bat.in .\invoke.bat
+echo ***** Installed invoke launcher script ******
+
+@rem more cleanup
+rd /s /q binary_installer installer_files
+
 @rem preload the models
-call .venv\Scripts\python scripts\preload_models.py
+call .venv\Scripts\python scripts\configure_invokeai.py
 set err_msg=----- model download clone failed -----
 if %errorlevel% neq 0 goto err_exit
+deactivate
 
 echo ***** Finished downloading models *****
 
-echo ***** Installing invoke.bat ******
-copy installer\invoke.bat .\invoke.bat
 echo All done! Execute the file invoke.bat in this directory to start InvokeAI
-
-@rem more cleanup
-rd /s /q installer installer_files
-
 pause
 exit
 

binary_installer/install.sh.in

@@ -1,5 +1,9 @@
 #!/usr/bin/env bash
 
+# ensure we're in the correct folder in case user's CWD is somewhere else
+scriptdir=$(dirname "$0")
+cd "$scriptdir"
+
 set -euo pipefail
 IFS=$'\n\t'
 
@@ -22,14 +26,21 @@ function _err_exit {
 
 # This enables a user to install this project without manually installing git or Python
 
-echo -e "\n***** Installing InvokeAI... *****\n"
+echo -e "\n***** Installing InvokeAI into $(pwd)... *****\n"
+
+export no_cache_dir="--no-cache-dir"
+if [ $# -ge 1 ]; then
+    if [ "$1" = "use-cache" ]; then
+        export no_cache_dir=""
+    fi
+fi
 
 
 OS_NAME=$(uname -s)
 case "${OS_NAME}" in
     Linux*)     OS_NAME="linux";;
     Darwin*)    OS_NAME="darwin";;
-    *)          echo -e "\n----- Unknown OS: $OS_NAME! This script runs only on Linux or MacOS -----\n" && exit
+    *)          echo -e "\n----- Unknown OS: $OS_NAME! This script runs only on Linux or macOS -----\n" && exit
 esac
 
 OS_ARCH=$(uname -m)
@@ -81,6 +92,7 @@ if [ "$OS_NAME" == "darwin" ]; then
 elif [ "$OS_NAME" == "linux" ]; then
     PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-unknown-linux-gnu-install_only.tar.gz
 fi
+echo "INSTALLING $RELEASE_SOURCEBALL FROM $RELEASE_URL"
 
 PACKAGES_TO_INSTALL=""
 
@@ -93,20 +105,20 @@ if [ "$PACKAGES_TO_INSTALL" != "" ]; then
 
     curl -L "$MICROMAMBA_DOWNLOAD_URL" | tar -xvjO bin/micromamba > micromamba
 
-    chmod u+x "micromamba"
+    chmod u+x ./micromamba
 
     # test the mamba binary
     echo -e "\n***** Micromamba version: *****\n"
-    "micromamba" --version
+    ./micromamba --version
 
     # create the installer env
     if [ ! -e "$INSTALL_ENV_DIR" ]; then
-        "micromamba" create -y --prefix "$INSTALL_ENV_DIR"
+        ./micromamba create -y --prefix "$INSTALL_ENV_DIR"
     fi
 
     echo -e "\n***** Packages to install:$PACKAGES_TO_INSTALL *****\n"
 
-    "micromamba" install -y --prefix "$INSTALL_ENV_DIR" -c conda-forge $PACKAGES_TO_INSTALL
+    ./micromamba install -y --prefix "$INSTALL_ENV_DIR" -c conda-forge "$PACKAGES_TO_INSTALL"
 
     if [ ! -e "$INSTALL_ENV_DIR" ]; then
         echo -e "\n----- There was a problem while initializing micromamba. Cannot continue. -----\n"
@@ -154,12 +166,22 @@ echo -e "\n***** Unpacked python-build-standalone *****\n"
 
 # create venv
 _err_msg="\n----- problem creating venv -----\n"
+
+if [ "$OS_NAME" == "darwin" ]; then
+    # patch sysconfig so that extensions can build properly
+    # adapted from https://github.com/cashapp/hermit-packages/commit/fcba384663892f4d9cfb35e8639ff7a28166ee43
+    PYTHON_INSTALL_DIR="$(pwd)/python"
+    SYSCONFIG="$(echo python/lib/python*/_sysconfigdata_*.py)"
+    TMPFILE="$(mktemp)"
+    chmod +w "${SYSCONFIG}"
+    cp "${SYSCONFIG}" "${TMPFILE}"
+    sed "s,'/install,'${PYTHON_INSTALL_DIR},g" "${TMPFILE}" > "${SYSCONFIG}"
+    rm -f "${TMPFILE}"
+fi
+
 ./python/bin/python3 -E -s -m venv .venv
 _err_exit $? _err_msg
-# In reality, the following is ALL that 'activate.bat' does,
-# aside from setting the prompt, which we don't care about
-export PYTHONPATH=
-export PATH=.venv/bin:$PATH
+source .venv/bin/activate
 
 echo -e "\n***** Created Python virtual environment *****\n"
 
@@ -170,42 +192,44 @@ echo -e "We're running under"
 _err_exit $? _err_msg
 
 _err_msg="\n----- pip update failed -----\n"
-.venv/bin/python3 -m pip install --no-cache-dir --no-warn-script-location --upgrade pip
+.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location --upgrade pip
 _err_exit $? _err_msg
 
 echo -e "\n***** Updated pip *****\n"
 
 _err_msg="\n----- requirements file copy failed -----\n"
-cp installer/py3.10-${OS_NAME}-"${OS_ARCH}"-${CD}-reqs.txt requirements.txt
+cp binary_installer/py3.10-${OS_NAME}-"${OS_ARCH}"-${CD}-reqs.txt requirements.txt
 _err_exit $? _err_msg
 
 _err_msg="\n----- main pip install failed -----\n"
-.venv/bin/python3 -m pip install --no-cache-dir --no-warn-script-location -r requirements.txt
-_err_exit $? _err_msg
-
-_err_msg="\n----- clipseg install failed -----\n"
-.venv/bin/python3 -m pip install --no-cache-dir --no-warn-script-location git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-_err_exit $? _err_msg
-
-_err_msg="\n----- InvokeAI setup failed -----\n"
-.venv/bin/python3 -m pip install --no-cache-dir --no-warn-script-location -e .
+.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -r requirements.txt
 _err_exit $? _err_msg
 
 echo -e "\n***** Installed Python dependencies *****\n"
 
+_err_msg="\n----- InvokeAI setup failed -----\n"
+.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -e .
+_err_exit $? _err_msg
+
+echo -e "\n***** Installed InvokeAI *****\n"
+
+cp binary_installer/invoke.sh.in ./invoke.sh
+chmod a+x ./invoke.sh
+echo -e "\n***** Installed invoke launcher script ******\n"
+
+# more cleanup
+rm -rf binary_installer/ installer_files/
+
 # preload the models
-.venv/bin/python3 scripts/preload_models.py
+.venv/bin/python3 scripts/configure_invokeai.py
 _err_msg="\n----- model download clone failed -----\n"
 _err_exit $? _err_msg
+deactivate
 
 echo -e "\n***** Finished downloading models *****\n"
 
-echo -e "\n***** Installing invoke.sh ******\n"
-cp installer/invoke.sh .
-
-# more cleanup
-rm -rf installer/ installer_files/
-
-echo "All done! Run the command './invoke.sh' to start InvokeAI."
+echo "All done! Run the command"
+echo "  \"$scriptdir/invoke.sh\""
+echo "to start InvokeAI."
 read -p "Press any key to exit..."
 exit

binary_installer/invoke.bat.in

@@ -0,0 +1,35 @@
+@echo off
+
+call .venv\Scripts\activate.bat
+
+echo Do you want to generate images using the
+echo 1. command-line
+echo 2. browser-based UI
+echo OR
+echo 3. open the developer console
+set /p choice="Please enter 1, 2 or 3: "
+if /i "%choice%" == "1" (
+    echo Starting the InvokeAI command-line.
+    .venv\Scripts\python scripts\invoke.py
+) else if /i "%choice%" == "2" (
+    echo Starting the InvokeAI browser-based UI.
+    .venv\Scripts\python scripts\invoke.py --web
+) else if /i "%choice%" == "3" (
+    echo Developer Console
+    echo Python command is:
+    where python
+    echo Python version is:
+    python --version
+    echo *************************
+    echo You are now in the system shell, with the local InvokeAI Python virtual environment activated,
+    echo so that you can troubleshoot this InvokeAI installation as necessary.
+    echo *************************
+    echo *** Type `exit` to quit this shell and deactivate the Python virtual environment ***
+    call cmd /k
+) else (
+    echo Invalid selection
+    pause
+    exit /b
+)
+
+deactivate

binary_installer/invoke.sh.in

@@ -0,0 +1,41 @@
+#!/usr/bin/env sh
+
+set -eu
+
+. .venv/bin/activate
+
+echo "Do you want to generate images using the"
+echo "1. command-line"
+echo "2. browser-based UI"
+echo "OR"
+echo "3. open the developer console"
+echo "Please enter 1, 2, or 3:"
+read choice
+
+case $choice in
+    1)
+        printf "\nStarting the InvokeAI command-line..\n";
+        .venv/bin/python scripts/invoke.py;
+    ;;
+    2)
+        printf "\nStarting the InvokeAI browser-based UI..\n";
+        .venv/bin/python scripts/invoke.py --web;
+    ;;
+    3)
+        printf "\nDeveloper Console:\n";
+        printf "Python command is:\n\t";
+        which python;
+        printf "Python version is:\n\t";
+        python --version;
+        echo "*************************"
+        echo "You are now in your user shell ($SHELL) with the local InvokeAI Python virtual environment activated,";
+        echo "so that you can troubleshoot this InvokeAI installation as necessary.";
+        printf "*************************\n"
+        echo "*** Type \`exit\` to quit this shell and deactivate the Python virtual environment *** ";
+        /usr/bin/env "$SHELL";
+    ;;
+    *)
+        echo "Invalid selection";
+        exit
+    ;;
+esac

binary_installer/py3.10-darwin-x86_64-cpu-reqs.txt

@@ -2,9 +2,9 @@
 # This file is autogenerated by pip-compile with python 3.10
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-darwin-x86_64-cpu-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-darwin-x86_64-cpu-reqs.txt installer/requirements.in
 #
---extra-index-url https://download.pytorch.org/whl/cu116
+--extra-index-url https://download.pytorch.org/whl/torch_stable.html
 --trusted-host https
 
 absl-py==1.3.0 \
@@ -13,10 +13,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -180,13 +182,12 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
-colorama==0.4.6 \
-    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
-    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
     # via
-    #   click
-    #   tqdm
+    #   -r installer/requirements.in
+    #   clipseg
+clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
+    --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
+    # via -r installer/requirements.in
 commonmark==0.9.1 \
     --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
     --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
@@ -273,7 +274,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -293,7 +294,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -319,15 +320,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -411,11 +412,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -576,7 +577,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -609,7 +610,7 @@ jsonschema==4.17.0 \
     #   jsonmerge
 k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
     --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -837,7 +838,9 @@ matplotlib==3.6.2 \
     --hash=sha256:ec9be0f4826cdb3a3a517509dcc5f87f370251b76362051ab59e42b6b765f8c4 \
     --hash=sha256:f04f97797df35e442ed09f529ad1235d1f1c0f30878e2fe09a2676b71a8801e0 \
     --hash=sha256:f41e57ad63d336fe50d3a67bb8eaa26c09f6dda6a59f76777a99b8ccd8e26aec
-    # via filterpy
+    # via
+    #   clipseg
+    #   filterpy
 multidict==6.0.2 \
     --hash=sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60 \
     --hash=sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c \
@@ -970,6 +973,7 @@ numpy==1.23.4 \
     #   altair
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   contourpy
     #   diffusers
     #   facexlib
@@ -983,6 +987,7 @@ numpy==1.23.4 \
     #   pandas
     #   pyarrow
     #   pydeck
+    #   pypatchmatch
     #   pytorch-lightning
     #   pywavelets
     #   qudida
@@ -1018,6 +1023,7 @@ opencv-python==4.6.0.66 \
     --hash=sha256:f482e78de6e7b0b060ff994ffd859bddc3f7f382bb2019ef157b0ea8ca8712f5
     # via
     #   basicsr
+    #   clipseg
     #   facexlib
     #   gfpgan
     #   realesrgan
@@ -1080,6 +1086,10 @@ pandas==1.5.1 \
 pathtools==0.1.2 \
     --hash=sha256:7c35c5421a39bb82e58018febd90e3b6e5db34c5443aaaf742b3f33d4655f1c0
     # via wandb
+picklescan==0.0.5 \
+    --hash=sha256:368cf1b9a075bc1b6460ad82b694f260532b836c82f99d13846cd36e1bbe7f9a \
+    --hash=sha256:57153eca04d5df5009f2cdd595aef261b8a6f27e03046a1c84f672aa6869c592
+    # via -r installer/requirements.in
 pillow==9.3.0 \
     --hash=sha256:03150abd92771742d4a8cd6f2fa6246d847dcd2e332a18d0c15cc75bf6703040 \
     --hash=sha256:073adb2ae23431d3b9bcbcff3fe698b62ed47211d0716b067385538a1b0f28b8 \
@@ -1150,6 +1160,7 @@ pillow==9.3.0 \
     #   imageio
     #   k-diffusion
     #   matplotlib
+    #   pypatchmatch
     #   realesrgan
     #   scikit-image
     #   streamlit
@@ -1285,10 +1296,13 @@ pyparsing==3.0.9 \
     # via
     #   matplotlib
     #   packaging
+pypatchmatch @ https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip \
+    --hash=sha256:4ad6ec95379e7d122d494ff76633cc7cf9b71330d5efda147fceba81e3dc6cd2
+    # via -r installer/requirements.in
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1425,7 +1439,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1631,6 +1645,7 @@ scipy==1.9.3 \
     #   albumentations
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   facexlib
     #   filterpy
     #   gfpgan
@@ -1646,7 +1661,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1737,11 +1752,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1766,7 +1781,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1816,29 +1831,29 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.13.0 \
-    --hash=sha256:0fdd38c96230947b1ed870fed4a560252f8d23c3a2bf4dab9d2d42b18f2e67c8 \
-    --hash=sha256:220325d0f4e69ee9edf00c04208244ef7cf22ebce083815ce272c7491f0603f5 \
-    --hash=sha256:43db0723fc66ad6486f86dc4890c497937f7cd27429f28f73fb7e4d74b7482e2 \
-    --hash=sha256:47fe6228386bff6d74319a2ffe9d4ed943e6e85473d78e80502518c607d644d2 \
-    --hash=sha256:49a949b8136b32b2ec0724cbf4c6678b54e974b7d68f19f1231eea21cde5c23b \
-    --hash=sha256:4a378f5091307381abfb30eb821174e12986f39b1cf7c4522bf99155256819eb \
-    --hash=sha256:635dbb99d981a6483ca533b3dc7be18ef08dd9e1e96fb0bb0e6a99d79e85a130 \
-    --hash=sha256:6c227c16626e4ce766cca5351cc62a2358a11e8e466410a298487b9dff159eb1 \
-    --hash=sha256:857c7d5b1624c5fd979f66d2b074765733dba3f5e1cc97b7d6909155a2aae3ce \
-    --hash=sha256:9197ec216833b836b67e4d68e513d31fb38d9789d7cd998a08fba5b499c38454 \
-    --hash=sha256:922a4910613b310fbeb87707f00cb76fec328eb60cc1349ed2173e7c9b6edcd8 \
-    --hash=sha256:9ac382cedaf2f70afea41380ad8e7c06acef6b5b7e2aef3971cdad666ca6e185 \
-    --hash=sha256:bb33a911460475d1594a8c8cb73f58c08293211760796d99cae8c2509b86d7f1 \
-    --hash=sha256:cd1e67db6575e1b173a626077a54e4911133178557aac50683db03a34e2b636a \
-    --hash=sha256:d2d2753519415d154de4d3e64d2eaaeefdba6b6fd7d69d5ffaef595988117700 \
-    --hash=sha256:e20df14d874b024851c58e8bb3846249cb120e677f7463f60c986e3661f88680 \
-    --hash=sha256:e643ac8d086706e82f77b5d4dfcf145a9dd37b69e03e64177fc23821754d2ed7 \
-    --hash=sha256:ef934a21da6f6a516d0a9c712a80d09c56128abdc6af8dc151bee5199b4c3b4e \
-    --hash=sha256:f01a9ae0d4b69d2fc4145e8beab45b7877342dddbd4838a7d3c11ca7f6680745 \
-    --hash=sha256:f68edfea71ade3862039ba66bcedf954190a2db03b0c41a9b79afd72210abd97 \
-    --hash=sha256:fa768432ce4b8ffa29184c79a3376ab3de4a57b302cdf3c026a6be4c5a8ab75b
+torch==1.12.1 ; platform_system == "Darwin" \
+    --hash=sha256:03e31c37711db2cd201e02de5826de875529e45a55631d317aadce2f1ed45aa8 \
+    --hash=sha256:0b44601ec56f7dd44ad8afc00846051162ef9c26a8579dda0a02194327f2d55e \
+    --hash=sha256:42e115dab26f60c29e298559dbec88444175528b729ae994ec4c65d56fe267dd \
+    --hash=sha256:42f639501928caabb9d1d55ddd17f07cd694de146686c24489ab8c615c2871f2 \
+    --hash=sha256:4e1b9c14cf13fd2ab8d769529050629a0e68a6fc5cb8e84b4a3cc1dd8c4fe541 \
+    --hash=sha256:68104e4715a55c4bb29a85c6a8d57d820e0757da363be1ba680fa8cc5be17b52 \
+    --hash=sha256:69fe2cae7c39ccadd65a123793d30e0db881f1c1927945519c5c17323131437e \
+    --hash=sha256:6cf6f54b43c0c30335428195589bd00e764a6d27f3b9ba637aaa8c11aaf93073 \
+    --hash=sha256:743784ccea0dc8f2a3fe6a536bec8c4763bd82c1352f314937cb4008d4805de1 \
+    --hash=sha256:8a34a2fbbaa07c921e1b203f59d3d6e00ed379f2b384445773bd14e328a5b6c8 \
+    --hash=sha256:976c3f997cea38ee91a0dd3c3a42322785414748d1761ef926b789dfa97c6134 \
+    --hash=sha256:9b356aea223772cd754edb4d9ecf2a025909b8615a7668ac7d5130f86e7ec421 \
+    --hash=sha256:9c038662db894a23e49e385df13d47b2a777ffd56d9bcd5b832593fab0a7e286 \
+    --hash=sha256:a8320ba9ad87e80ca5a6a016e46ada4d1ba0c54626e135d99b2129a4541c509d \
+    --hash=sha256:b5dbcca369800ce99ba7ae6dee3466607a66958afca3b740690d88168752abcf \
+    --hash=sha256:bfec2843daa654f04fda23ba823af03e7b6f7650a873cdb726752d0e3718dada \
+    --hash=sha256:cd26d8c5640c3a28c526d41ccdca14cf1cbca0d0f2e14e8263a7ac17194ab1d2 \
+    --hash=sha256:e9c8f4a311ac29fc7e8e955cfb7733deb5dbe1bdaabf5d4af2765695824b7e0d \
+    --hash=sha256:f00c721f489089dc6364a01fd84906348fe02243d0af737f944fddb36003400d \
+    --hash=sha256:f3b52a634e62821e747e872084ab32fbcb01b7fa7dbb7471b6218279f02a178a
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1858,7 +1873,7 @@ torch==1.13.0 \
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1888,7 +1903,7 @@ torchvision==0.13.1 ; platform_system == "Darwin" \
     --hash=sha256:ef5fe3ec1848123cd0ec74c07658192b3147dcd38e507308c790d5943e87b88c \
     --hash=sha256:f230a1a40ed70d51e463ce43df243ec520902f8725de2502e485efc5eea9d864
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1930,7 +1945,7 @@ tqdm==4.64.1 \
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
@@ -1944,9 +1959,7 @@ typing-extensions==4.4.0 \
 tzdata==2022.6 \
     --hash=sha256:04a680bdc5b15750c39c12a448885a51134a27ec9af83667663f0b3a1bf3f342 \
     --hash=sha256:91f11db4503385928c15598c98573e3af07e7229181bee5375bd30f1695ddcae
-    # via
-    #   pytz-deprecation-shim
-    #   tzlocal
+    # via pytz-deprecation-shim
 tzlocal==4.2 \
     --hash=sha256:89885494684c929d9191c57aa27502afc87a579be5cdd3225c77c463ea043745 \
     --hash=sha256:ee5842fa3a795f023514ac2d801c4a81d1743bbe642e3940143326b3a00addd7

binary_installer/py3.10-linux-x86_64-cuda-reqs.txt

@@ -1,10 +1,10 @@
 #
-# This file is autogenerated by pip-compile with python 3.10
+# This file is autogenerated by pip-compile with python 3.9
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-windows-x86_64-cuda-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-linux-x86_64-cuda-reqs.txt installer/requirements.in
 #
---extra-index-url https://download.pytorch.org/whl/cu116
+--extra-index-url https://download.pytorch.org/whl/torch_stable.html
 --trusted-host https
 
 absl-py==1.3.0 \
@@ -13,10 +13,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -180,13 +182,12 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
-colorama==0.4.6 \
-    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
-    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
     # via
-    #   click
-    #   tqdm
+    #   -r installer/requirements.in
+    #   clipseg
+clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
+    --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
+    # via -r installer/requirements.in
 commonmark==0.9.1 \
     --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
     --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
@@ -273,7 +274,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -293,7 +294,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -319,15 +320,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -411,11 +412,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -576,12 +577,14 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
     # via
     #   diffusers
+    #   flask
+    #   markdown
     #   streamlit
 itsdangerous==2.1.2 \
     --hash=sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44 \
@@ -609,7 +612,7 @@ jsonschema==4.17.0 \
     #   jsonmerge
 k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
     --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -837,7 +840,9 @@ matplotlib==3.6.2 \
     --hash=sha256:ec9be0f4826cdb3a3a517509dcc5f87f370251b76362051ab59e42b6b765f8c4 \
     --hash=sha256:f04f97797df35e442ed09f529ad1235d1f1c0f30878e2fe09a2676b71a8801e0 \
     --hash=sha256:f41e57ad63d336fe50d3a67bb8eaa26c09f6dda6a59f76777a99b8ccd8e26aec
-    # via filterpy
+    # via
+    #   clipseg
+    #   filterpy
 multidict==6.0.2 \
     --hash=sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60 \
     --hash=sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c \
@@ -970,6 +975,7 @@ numpy==1.23.4 \
     #   altair
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   contourpy
     #   diffusers
     #   facexlib
@@ -983,6 +989,7 @@ numpy==1.23.4 \
     #   pandas
     #   pyarrow
     #   pydeck
+    #   pypatchmatch
     #   pytorch-lightning
     #   pywavelets
     #   qudida
@@ -1018,6 +1025,7 @@ opencv-python==4.6.0.66 \
     --hash=sha256:f482e78de6e7b0b060ff994ffd859bddc3f7f382bb2019ef157b0ea8ca8712f5
     # via
     #   basicsr
+    #   clipseg
     #   facexlib
     #   gfpgan
     #   realesrgan
@@ -1080,6 +1088,10 @@ pandas==1.5.1 \
 pathtools==0.1.2 \
     --hash=sha256:7c35c5421a39bb82e58018febd90e3b6e5db34c5443aaaf742b3f33d4655f1c0
     # via wandb
+picklescan==0.0.5 \
+    --hash=sha256:368cf1b9a075bc1b6460ad82b694f260532b836c82f99d13846cd36e1bbe7f9a \
+    --hash=sha256:57153eca04d5df5009f2cdd595aef261b8a6f27e03046a1c84f672aa6869c592
+    # via -r installer/requirements.in
 pillow==9.3.0 \
     --hash=sha256:03150abd92771742d4a8cd6f2fa6246d847dcd2e332a18d0c15cc75bf6703040 \
     --hash=sha256:073adb2ae23431d3b9bcbcff3fe698b62ed47211d0716b067385538a1b0f28b8 \
@@ -1150,6 +1162,7 @@ pillow==9.3.0 \
     #   imageio
     #   k-diffusion
     #   matplotlib
+    #   pypatchmatch
     #   realesrgan
     #   scikit-image
     #   streamlit
@@ -1285,10 +1298,13 @@ pyparsing==3.0.9 \
     # via
     #   matplotlib
     #   packaging
+pypatchmatch @ https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip \
+    --hash=sha256:4ad6ec95379e7d122d494ff76633cc7cf9b71330d5efda147fceba81e3dc6cd2
+    # via -r installer/requirements.in
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1425,7 +1441,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1631,6 +1647,7 @@ scipy==1.9.3 \
     #   albumentations
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   facexlib
     #   filterpy
     #   gfpgan
@@ -1646,7 +1663,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1737,11 +1754,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1766,7 +1783,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1816,16 +1833,17 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.12.1+cu116 \
-    --hash=sha256:7725420dabebfcaf44984edce3283eea91f98f0f7d5874bc68c7a164bd8126e3 \
-    --hash=sha256:832effad8b21109700323a5aa137a2e4bdea711dac3d8491ff542f798dab0101 \
-    --hash=sha256:84f031e4ee25d95368d7531aa58e79da9808d3fa53b4b363ea03a2450b6fd0af \
-    --hash=sha256:b6bc31244aa2818929fbb30c483c221df471e9d856e805c5a1ff72b131ae9e7b \
-    --hash=sha256:b8e8906e770bcad12e67c269e1bcdd7661a8abd96519a4ba643e86440bbcc1bf \
-    --hash=sha256:bca5a77071d7eb901beb775648b125e6d9279f231d1f23e56530b5a189df8975 \
-    --hash=sha256:dda312901220895087cc83d3665464a3dc171d04460c61c31af463efbfb54896 \
-    --hash=sha256:fc9b4786ec54be67eaa8b0c7c9999e2f4ae2b89a1c18e41de1515a190440c691
+torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
+    --hash=sha256:1d9557d1e871794a31a71c40dec8589d6c3347f3f2953a8dd74cfd58e1ecb52e \
+    --hash=sha256:72538e4505087668a4642f861578dfed470fae5da20b1758b0f34e4a070d6b21 \
+    --hash=sha256:74f5b137190a6face6859d630f129289e7fae6a4d9a747430b3b5d5c6297a3ae \
+    --hash=sha256:7665e906995328746c6f70016ee90cafe50cbf434b6ef576e1de2678929ee63e \
+    --hash=sha256:7ee1899e9afe5f5e35ba46bc70e17735d2c02cedede1fa69a288cc680b5ab3db \
+    --hash=sha256:97d63afcb6358071737f8325aa933e9db2f30cd2f068591d27d4ea72f3cabad2 \
+    --hash=sha256:aa43d7b54b86f723f17c5c44df1078c59a6149fc4d42fbef08aafab9d61451c9 \
+    --hash=sha256:f772be831447dd01ebd26cbedf619e668d1b269d69bf6b4ff46b1378362bff26
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1845,7 +1863,7 @@ torch==1.12.1+cu116 \
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1854,17 +1872,17 @@ torchmetrics==0.10.2 \
     --hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
     --hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
     # via pytorch-lightning
-torchvision==0.13.1+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
-    --hash=sha256:0c9a2b605ac30fcf475d60f79ba378af0073a22de585453f8c3dd6c1452ab9bc \
-    --hash=sha256:75986abe572138258eb9795cb4cd73f40b2bdf8374fefa1af6ff6bb0dbc972c6 \
-    --hash=sha256:8a4c395bb72cf51eb4318c6861c9a5ea490d48ec36a3d767220ef182445449cb \
-    --hash=sha256:92e4685c6010b6b1c228ebb5fe93105d0a71e5b586483a942e04529a43e0bb42 \
-    --hash=sha256:9ec5654c56a22fe420dc0af0ff5cd31105f583fdb0240043ff26a7cfed7e05fb \
-    --hash=sha256:ba8b7d3c33f63feb29c7dd8c0db68b735d0c9d924ff4e84121b4b20b17cec7a5 \
-    --hash=sha256:c3ceb2b3f456f0c984af71ef55f8637f178a29dc3e13a66fbb010ceead2891e1 \
-    --hash=sha256:dcf32f6d998493e76ec21a38bbb856b7402295cf7a67fb09ce5bde7e7e725756
+torchvision==0.13.0+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
+    --hash=sha256:1696feadf1921c8fa1549bad774221293298288ebedaa14e44bc3e57e964a369 \
+    --hash=sha256:572544b108eaf12638f3dca0f496a453c4b8d8256bcc8333d5355df641c0380c \
+    --hash=sha256:76dbe71be271e2f246d556a8201c6f73a431851045d866c51bd945521817b892 \
+    --hash=sha256:90b9461f57e1219ca900bfd9e85548b840ec56d57ec331b7a7eb871113b34c0a \
+    --hash=sha256:941a8c958f2fe9184ce522567f4a471b52dd306891870e979fe6569062432258 \
+    --hash=sha256:9ce27c87a8581d00dcef416ec75f8eca9c225d8c36b81150a1f2a60eb70155dc \
+    --hash=sha256:cb6bf0117b8f4b601baeae54e8a6bb5c4942b054835ba997f438ddcb7adcfb90 \
+    --hash=sha256:d1a3c124645e3460b3e50b54eb89a2575a5036bfa618f15dc4f5d635c716069d
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1906,7 +1924,7 @@ tqdm==4.64.1 \
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
@@ -1920,9 +1938,7 @@ typing-extensions==4.4.0 \
 tzdata==2022.6 \
     --hash=sha256:04a680bdc5b15750c39c12a448885a51134a27ec9af83667663f0b3a1bf3f342 \
     --hash=sha256:91f11db4503385928c15598c98573e3af07e7229181bee5375bd30f1695ddcae
-    # via
-    #   pytz-deprecation-shim
-    #   tzlocal
+    # via pytz-deprecation-shim
 tzlocal==4.2 \
     --hash=sha256:89885494684c929d9191c57aa27502afc87a579be5cdd3225c77c463ea043745 \
     --hash=sha256:ee5842fa3a795f023514ac2d801c4a81d1743bbe642e3940143326b3a00addd7

binary_installer/py3.10-windows-x86_64-cuda-reqs.txt

@@ -2,8 +2,9 @@
 # This file is autogenerated by pip-compile with python 3.10
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-linux-x86_64-cuda-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-windows-x86_64-cuda-reqs.txt installer/requirements.in
 #
+--extra-index-url https://download.pytorch.org/whl/torch_stable.html
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
 
@@ -13,10 +14,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +120,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -148,6 +151,10 @@ blinker==1.5 \
     --hash=sha256:1eb563df6fdbc39eeddc177d953203f99f097e9bf0e2b8f9f3cf18b6ca425e36 \
     --hash=sha256:923e5e2f69c155f2cc42dafbbd70e16e3fde24d2d4aa2ab72fbe386238892462
     # via streamlit
+boltons==21.0.0 \
+    --hash=sha256:65e70a79a731a7fe6e98592ecfb5ccf2115873d01dbc576079874629e5c90f13 \
+    --hash=sha256:b9bb7b58b2b420bbe11a6025fdef6d3e5edc9f76a42fb467afe7ca212ef9948b
+    # via torchsde
 cachetools==5.2.0 \
     --hash=sha256:6a94c6402995a99c3970cc7e4884bb60b4a8639938157eeed436098bf9831757 \
     --hash=sha256:f9f17d2aec496a9aa6b76f53e3b614c965223c061982d434d160f930c698a9db
@@ -180,7 +187,18 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
+    # via
+    #   -r installer/requirements.in
+    #   clipseg
+clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
+    --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
+    # via -r installer/requirements.in
+colorama==0.4.6 \
+    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
+    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
+    # via
+    #   click
+    #   tqdm
 commonmark==0.9.1 \
     --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
     --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
@@ -267,7 +285,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -287,7 +305,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -313,15 +331,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -405,11 +423,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -570,7 +588,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -601,9 +619,9 @@ jsonschema==4.17.0 \
     # via
     #   altair
     #   jsonmerge
-k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
-    --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+k-diffusion @ https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip \
+    --hash=sha256:8eac5cdc08736e6d61908a1b2948f2b2f62691b01dc1aab978bddb3451af0d66
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -831,7 +849,9 @@ matplotlib==3.6.2 \
     --hash=sha256:ec9be0f4826cdb3a3a517509dcc5f87f370251b76362051ab59e42b6b765f8c4 \
     --hash=sha256:f04f97797df35e442ed09f529ad1235d1f1c0f30878e2fe09a2676b71a8801e0 \
     --hash=sha256:f41e57ad63d336fe50d3a67bb8eaa26c09f6dda6a59f76777a99b8ccd8e26aec
-    # via filterpy
+    # via
+    #   clipseg
+    #   filterpy
 multidict==6.0.2 \
     --hash=sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60 \
     --hash=sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c \
@@ -964,6 +984,7 @@ numpy==1.23.4 \
     #   altair
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   contourpy
     #   diffusers
     #   facexlib
@@ -977,6 +998,7 @@ numpy==1.23.4 \
     #   pandas
     #   pyarrow
     #   pydeck
+    #   pypatchmatch
     #   pytorch-lightning
     #   pywavelets
     #   qudida
@@ -992,6 +1014,7 @@ numpy==1.23.4 \
     #   tifffile
     #   torch-fidelity
     #   torchmetrics
+    #   torchsde
     #   torchvision
     #   transformers
 oauthlib==3.2.2 \
@@ -1012,6 +1035,7 @@ opencv-python==4.6.0.66 \
     --hash=sha256:f482e78de6e7b0b060ff994ffd859bddc3f7f382bb2019ef157b0ea8ca8712f5
     # via
     #   basicsr
+    #   clipseg
     #   facexlib
     #   gfpgan
     #   realesrgan
@@ -1074,6 +1098,10 @@ pandas==1.5.1 \
 pathtools==0.1.2 \
     --hash=sha256:7c35c5421a39bb82e58018febd90e3b6e5db34c5443aaaf742b3f33d4655f1c0
     # via wandb
+picklescan==0.0.5 \
+    --hash=sha256:368cf1b9a075bc1b6460ad82b694f260532b836c82f99d13846cd36e1bbe7f9a \
+    --hash=sha256:57153eca04d5df5009f2cdd595aef261b8a6f27e03046a1c84f672aa6869c592
+    # via -r installer/requirements.in
 pillow==9.3.0 \
     --hash=sha256:03150abd92771742d4a8cd6f2fa6246d847dcd2e332a18d0c15cc75bf6703040 \
     --hash=sha256:073adb2ae23431d3b9bcbcff3fe698b62ed47211d0716b067385538a1b0f28b8 \
@@ -1144,6 +1172,7 @@ pillow==9.3.0 \
     #   imageio
     #   k-diffusion
     #   matplotlib
+    #   pypatchmatch
     #   realesrgan
     #   scikit-image
     #   streamlit
@@ -1279,10 +1308,13 @@ pyparsing==3.0.9 \
     # via
     #   matplotlib
     #   packaging
+pypatchmatch @ https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip \
+    --hash=sha256:4ad6ec95379e7d122d494ff76633cc7cf9b71330d5efda147fceba81e3dc6cd2
+    # via -r installer/requirements.in
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1419,7 +1451,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1625,6 +1657,7 @@ scipy==1.9.3 \
     #   albumentations
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   facexlib
     #   filterpy
     #   gfpgan
@@ -1633,6 +1666,7 @@ scipy==1.9.3 \
     #   scikit-learn
     #   torch-fidelity
     #   torchdiffeq
+    #   torchsde
 semver==2.13.0 \
     --hash=sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4 \
     --hash=sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f
@@ -1640,7 +1674,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1731,11 +1765,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1760,7 +1794,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1810,16 +1844,17 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.12.1+cu116 \
-    --hash=sha256:7725420dabebfcaf44984edce3283eea91f98f0f7d5874bc68c7a164bd8126e3 \
-    --hash=sha256:832effad8b21109700323a5aa137a2e4bdea711dac3d8491ff542f798dab0101 \
-    --hash=sha256:84f031e4ee25d95368d7531aa58e79da9808d3fa53b4b363ea03a2450b6fd0af \
-    --hash=sha256:b6bc31244aa2818929fbb30c483c221df471e9d856e805c5a1ff72b131ae9e7b \
-    --hash=sha256:b8e8906e770bcad12e67c269e1bcdd7661a8abd96519a4ba643e86440bbcc1bf \
-    --hash=sha256:bca5a77071d7eb901beb775648b125e6d9279f231d1f23e56530b5a189df8975 \
-    --hash=sha256:dda312901220895087cc83d3665464a3dc171d04460c61c31af463efbfb54896 \
-    --hash=sha256:fc9b4786ec54be67eaa8b0c7c9999e2f4ae2b89a1c18e41de1515a190440c691
+torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
+    --hash=sha256:1d9557d1e871794a31a71c40dec8589d6c3347f3f2953a8dd74cfd58e1ecb52e \
+    --hash=sha256:72538e4505087668a4642f861578dfed470fae5da20b1758b0f34e4a070d6b21 \
+    --hash=sha256:74f5b137190a6face6859d630f129289e7fae6a4d9a747430b3b5d5c6297a3ae \
+    --hash=sha256:7665e906995328746c6f70016ee90cafe50cbf434b6ef576e1de2678929ee63e \
+    --hash=sha256:7ee1899e9afe5f5e35ba46bc70e17735d2c02cedede1fa69a288cc680b5ab3db \
+    --hash=sha256:97d63afcb6358071737f8325aa933e9db2f30cd2f068591d27d4ea72f3cabad2 \
+    --hash=sha256:aa43d7b54b86f723f17c5c44df1078c59a6149fc4d42fbef08aafab9d61451c9 \
+    --hash=sha256:f772be831447dd01ebd26cbedf619e668d1b269d69bf6b4ff46b1378362bff26
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1835,11 +1870,12 @@ torch==1.12.1+cu116 \
     #   torch-fidelity
     #   torchdiffeq
     #   torchmetrics
+    #   torchsde
     #   torchvision
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1848,17 +1884,21 @@ torchmetrics==0.10.2 \
     --hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
     --hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
     # via pytorch-lightning
-torchvision==0.13.1+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
-    --hash=sha256:0c9a2b605ac30fcf475d60f79ba378af0073a22de585453f8c3dd6c1452ab9bc \
-    --hash=sha256:75986abe572138258eb9795cb4cd73f40b2bdf8374fefa1af6ff6bb0dbc972c6 \
-    --hash=sha256:8a4c395bb72cf51eb4318c6861c9a5ea490d48ec36a3d767220ef182445449cb \
-    --hash=sha256:92e4685c6010b6b1c228ebb5fe93105d0a71e5b586483a942e04529a43e0bb42 \
-    --hash=sha256:9ec5654c56a22fe420dc0af0ff5cd31105f583fdb0240043ff26a7cfed7e05fb \
-    --hash=sha256:ba8b7d3c33f63feb29c7dd8c0db68b735d0c9d924ff4e84121b4b20b17cec7a5 \
-    --hash=sha256:c3ceb2b3f456f0c984af71ef55f8637f178a29dc3e13a66fbb010ceead2891e1 \
-    --hash=sha256:dcf32f6d998493e76ec21a38bbb856b7402295cf7a67fb09ce5bde7e7e725756
+torchsde==0.2.5 \
+    --hash=sha256:222be9e15610d37a4b5a71cfa0c442178f9fd9ca02f6522a3e11c370b3d0906b \
+    --hash=sha256:4c34373a94a357bdf60bbfee00c850f3563d634491555820b900c9a4f7eff300
+    # via k-diffusion
+torchvision==0.13.0+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
+    --hash=sha256:1696feadf1921c8fa1549bad774221293298288ebedaa14e44bc3e57e964a369 \
+    --hash=sha256:572544b108eaf12638f3dca0f496a453c4b8d8256bcc8333d5355df641c0380c \
+    --hash=sha256:76dbe71be271e2f246d556a8201c6f73a431851045d866c51bd945521817b892 \
+    --hash=sha256:90b9461f57e1219ca900bfd9e85548b840ec56d57ec331b7a7eb871113b34c0a \
+    --hash=sha256:941a8c958f2fe9184ce522567f4a471b52dd306891870e979fe6569062432258 \
+    --hash=sha256:9ce27c87a8581d00dcef416ec75f8eca9c225d8c36b81150a1f2a60eb70155dc \
+    --hash=sha256:cb6bf0117b8f4b601baeae54e8a6bb5c4942b054835ba997f438ddcb7adcfb90 \
+    --hash=sha256:d1a3c124645e3460b3e50b54eb89a2575a5036bfa618f15dc4f5d635c716069d
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1897,10 +1937,13 @@ tqdm==4.64.1 \
     #   taming-transformers-rom1504
     #   torch-fidelity
     #   transformers
+trampoline==0.1.2 \
+    --hash=sha256:36cc9a4ff9811843d177fc0e0740efbd7da39eadfe6e50c9e2937cbc06d899d9
+    # via torchsde
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e

binary_installer/requirements.in

@@ -1,6 +1,7 @@
 --prefer-binary
---extra-index-url https://download.pytorch.org/whl/cu116
+--extra-index-url https://download.pytorch.org/whl/torch_stable.html
 --trusted-host https://download.pytorch.org
+accelerate~=0.14
 albumentations
 diffusers
 eventlet
@@ -16,9 +17,14 @@ streamlit
 taming-transformers-rom1504
 test-tube
 torch-fidelity
+torch==1.12.1 ; platform_system == 'Darwin'
+torch==1.12.0+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
 torchvision==0.13.1 ; platform_system == 'Darwin'
-torchvision==0.13.1+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
+torchvision==0.13.0+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
 transformers
+picklescan
 https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip
+https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip
 https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip
 https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip
+https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip

configs/INITIAL_MODELS.yaml

@@ -0,0 +1,80 @@
+stable-diffusion-1.5:
+   description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
+   repo_id: runwayml/stable-diffusion-v1-5
+   config: v1-inference.yaml
+   file: v1-5-pruned-emaonly.ckpt
+   recommended: true
+   width: 512
+   height: 512
+inpainting-1.5:
+   description: RunwayML SD 1.5 model optimized for inpainting (4.27 GB)
+   repo_id: runwayml/stable-diffusion-inpainting
+   config: v1-inpainting-inference.yaml
+   file: sd-v1-5-inpainting.ckpt
+   recommended: True
+   width: 512
+   height: 512
+ft-mse-improved-autoencoder-840000:
+   description: StabilityAI improved autoencoder fine-tuned for human faces (recommended; 335 MB)
+   repo_id: stabilityai/sd-vae-ft-mse-original
+   config: VAE/default
+   file: vae-ft-mse-840000-ema-pruned.ckpt
+   recommended: True
+   width: 512
+   height: 512
+stable-diffusion-1.4:
+   description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
+   repo_id: CompVis/stable-diffusion-v-1-4-original
+   config: v1-inference.yaml
+   file: sd-v1-4.ckpt
+   recommended: False
+   width: 512
+   height: 512
+waifu-diffusion-1.3:
+   description: Stable Diffusion 1.4 fine tuned on anime-styled images (4.27)
+   repo_id: hakurei/waifu-diffusion-v1-3
+   config: v1-inference.yaml
+   file: model-epoch09-float32.ckpt
+   recommended: False
+   width: 512
+   height: 512
+trinart-2.0:
+   description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures (2.13 GB)
+   repo_id: naclbit/trinart_stable_diffusion_v2
+   config: v1-inference.yaml
+   file: trinart2_step95000.ckpt
+   recommended: False
+   width: 512
+   height: 512
+trinart_characters-1.0:
+   description: An SD model finetuned with 19.2M anime/manga style images (2.13 GB)
+   repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
+   config: v1-inference.yaml
+   file: trinart_characters_it4_v1.ckpt
+   recommended: False
+   width: 512
+   height: 512
+trinart_vae:
+   description: Custom autoencoder for trinart_characters
+   repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
+   config: VAE/trinart
+   file: autoencoder_fix_kl-f8-trinart_characters.ckpt
+   recommended: False
+   width: 512
+   height: 512
+papercut-1.0:
+   description: SD 1.5 fine-tuned for papercut art (use "PaperCut" in your prompts) (2.13 GB)
+   repo_id: Fictiverse/Stable_Diffusion_PaperCut_Model
+   config: v1-inference.yaml
+   file: PaperCut_v1.ckpt
+   recommended: False
+   width: 512
+   height: 512
+voxel_art-1.0:
+   description: Stable Diffusion trained on voxel art (use "VoxelArt" in your prompts) (4.27 GB)
+   repo_id: Fictiverse/Stable_Diffusion_VoxelArt_Model
+   config: v1-inference.yaml
+   file: VoxelArt_v1.ckpt
+   recommended: False
+   width: 512
+   height: 512

configs/models.yaml.example

@@ -7,8 +7,8 @@
 # was trained on.
 stable-diffusion-1.5:
   description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
-  weights: ./models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
-  config: ./configs/stable-diffusion/v1-inference.yaml
+  weights: models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
+  config: configs/stable-diffusion/v1-inference.yaml
   width: 512
   height: 512
   vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt

configs/sd-concepts.txt

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

configs/stable-diffusion/v1-inference.yaml

@@ -30,9 +30,9 @@ model:
       target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
-        initializer_words: ['face', 'man', 'photo', 'africanmale']
+        initializer_words: ['sculpture']
         per_image_tokens: false
-        num_vectors_per_token: 1
+        num_vectors_per_token: 8
         progressive_words: False
 
     unet_config:

configs/stable-diffusion/v1-inpainting-inference.yaml

@@ -30,9 +30,9 @@ model:
       target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
-        initializer_words: ['face', 'man', 'photo', 'africanmale']
+        initializer_words: ['sculpture']
         per_image_tokens: false
-        num_vectors_per_token: 1
+        num_vectors_per_token: 8
         progressive_words: False
 
     unet_config:

configs/stable-diffusion/v1-m1-finetune.yaml

@@ -22,7 +22,7 @@ model:
       target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
-        initializer_words: ['face', 'man', 'photo', 'africanmale']
+        initializer_words: ['sculpture']
         per_image_tokens: false
         num_vectors_per_token: 6
         progressive_words: False

docker-build/Dockerfile

@@ -1,34 +1,13 @@
-FROM ubuntu AS get_miniconda
-
-SHELL ["/bin/bash", "-c"]
-
-# install wget
-RUN apt-get update \
-  && apt-get install -y \
-    wget \
-  && apt-get clean \
-  && rm -rf /var/lib/apt/lists/*
-
-# download and install miniconda
-ARG conda_version=py39_4.12.0-Linux-x86_64
-ARG conda_prefix=/opt/conda
-RUN wget --progress=dot:giga -O /miniconda.sh \
-  https://repo.anaconda.com/miniconda/Miniconda3-${conda_version}.sh \
-  && bash /miniconda.sh -b -p ${conda_prefix} \
-  && rm -f /miniconda.sh
-
-FROM ubuntu AS invokeai
+FROM ubuntu:22.10
 
 # use bash
 SHELL [ "/bin/bash", "-c" ]
 
-# clean bashrc
-RUN echo "" > ~/.bashrc
-
 # Install necesarry packages
 RUN apt-get update \
   && apt-get install -y \
     --no-install-recommends \
+    build-essential \
     gcc \
     git \
     libgl1-mesa-glx \
@@ -39,46 +18,17 @@ RUN apt-get update \
   && apt-get clean \
   && rm -rf /var/lib/apt/lists/*
 
-# clone repository, create models.yaml and create symlinks
-ARG invokeai_git=invoke-ai/InvokeAI
-ARG invokeai_branch=main
-ARG project_name=invokeai
-ARG conda_env_file=environment-lin-cuda.yml
-RUN git clone -b ${invokeai_branch} https://github.com/${invokeai_git}.git "/${project_name}" \
-  && cp \
-    "/${project_name}/configs/models.yaml.example" \
-    "/${project_name}/configs/models.yaml" \
-  && ln -sf \
-    "/${project_name}/environments-and-requirements/${conda_env_file}" \
-    "/${project_name}/environment.yml" \
-  && ln -sf \
-    /data/models/v1-5-pruned-emaonly.ckpt \
-    "/${project_name}/models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt" \
-  && ln -sf \
-    /data/outputs/ \
-    "/${project_name}/outputs"
+# set workdir and copy sources
+WORKDIR /invokeai
+ARG PIP_REQUIREMENTS=requirements-lin-cuda.txt
+COPY . ./environments-and-requirements/${PIP_REQUIREMENTS} ./
 
-# set workdir
-WORKDIR "/${project_name}"
+# install requirements and link outputs folder
+RUN pip install \
+  --no-cache-dir \
+  -r ${PIP_REQUIREMENTS}
 
-# install conda env and preload models
-ARG conda_prefix=/opt/conda
-COPY --from=get_miniconda "${conda_prefix}" "${conda_prefix}"
-RUN source "${conda_prefix}/etc/profile.d/conda.sh" \
-  && conda init bash \
-  && source ~/.bashrc \
-  && conda env create \
-    --name "${project_name}" \
-  && rm -Rf ~/.cache \
-  && conda clean -afy \
-  && echo "conda activate ${project_name}" >> ~/.bashrc
-
-RUN source ~/.bashrc \
-  && python scripts/preload_models.py \
-    --no-interactive
-
-# Copy entrypoint and set env
-ENV CONDA_PREFIX="${conda_prefix}"
-ENV PROJECT_NAME="${project_name}"
-COPY docker-build/entrypoint.sh /
-ENTRYPOINT [ "/entrypoint.sh" ]
+# set Environment, Entrypoint and default CMD
+ENV INVOKEAI_ROOT /data
+ENTRYPOINT [ "python3", "scripts/invoke.py", "--outdir=/data/outputs" ]
+CMD [ "--web", "--host=0.0.0.0" ]

docker-build/build.sh

@@ -1,84 +1,49 @@
 #!/usr/bin/env bash
 set -e
-# IMPORTANT: You need to have a token on huggingface.co to be able to download the checkpoint!!!
-# configure values by using env when executing build.sh
-# f.e. env ARCH=aarch64 GITHUB_INVOKE_AI=https://github.com/yourname/yourfork.git ./build.sh
 
-source ./docker-build/env.sh || echo "please run from repository root" || exit 1
+# IMPORTANT: You need to have a token on huggingface.co to be able to download the checkpoints!!!
+# configure values by using env when executing build.sh f.e. `env ARCH=aarch64 ./build.sh`
 
-invokeai_conda_version=${INVOKEAI_CONDA_VERSION:-py39_4.12.0-${platform/\//-}}
-invokeai_conda_prefix=${INVOKEAI_CONDA_PREFIX:-\/opt\/conda}
-invokeai_conda_env_file=${INVOKEAI_CONDA_ENV_FILE:-environment-lin-cuda.yml}
-invokeai_git=${INVOKEAI_GIT:-invoke-ai/InvokeAI}
-invokeai_branch=${INVOKEAI_BRANCH:-main}
-huggingface_token=${HUGGINGFACE_TOKEN?}
+source ./docker-build/env.sh \
+  || echo "please execute docker-build/build.sh from repository root" \
+  || exit 1
+
+pip_requirements=${PIP_REQUIREMENTS:-requirements-lin-cuda.txt}
+dockerfile=${INVOKE_DOCKERFILE:-docker-build/Dockerfile}
 
 # print the settings
 echo "You are using these values:"
-echo -e "project_name:\t\t ${project_name}"
+echo -e "Dockerfile:\t\t ${dockerfile}"
+echo -e "requirements:\t\t ${pip_requirements}"
 echo -e "volumename:\t\t ${volumename}"
 echo -e "arch:\t\t\t ${arch}"
 echo -e "platform:\t\t ${platform}"
-echo -e "invokeai_conda_version:\t ${invokeai_conda_version}"
-echo -e "invokeai_conda_prefix:\t ${invokeai_conda_prefix}"
-echo -e "invokeai_conda_env_file: ${invokeai_conda_env_file}"
-echo -e "invokeai_git:\t\t ${invokeai_git}"
 echo -e "invokeai_tag:\t\t ${invokeai_tag}\n"
 
-_runAlpine() {
-  docker run \
-    --rm \
-    --interactive \
-    --tty \
-    --mount source="$volumename",target=/data \
-    --workdir /data \
-    alpine "$@"
-}
-
-_copyCheckpoints() {
-  echo "creating subfolders for models and outputs"
-  _runAlpine mkdir models
-  _runAlpine mkdir outputs
-  echo "downloading v1-5-pruned-emaonly.ckpt"
-  _runAlpine wget \
-    --header="Authorization: Bearer ${huggingface_token}" \
-    -O models/v1-5-pruned-emaonly.ckpt \
-    https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt
-  echo "done"
-}
-
-_checkVolumeContent() {
-  _runAlpine ls -lhA /data/models
-}
-
-_getModelMd5s() {
-  _runAlpine  \
-    alpine sh -c "md5sum /data/models/*.ckpt"
-}
-
 if [[ -n "$(docker volume ls -f name="${volumename}" -q)" ]]; then
   echo "Volume already exists"
-  if [[ -z "$(_checkVolumeContent)" ]]; then
-    echo "looks empty, copying checkpoint"
-    _copyCheckpoints
-  fi
-  echo "Models in ${volumename}:"
-  _checkVolumeContent
+  echo
 else
   echo -n "createing docker volume "
   docker volume create "${volumename}"
-  _copyCheckpoints
 fi
 
 # Build Container
 docker build \
   --platform="${platform}" \
-  --tag "${invokeai_tag}" \
-  --build-arg project_name="${project_name}" \
-  --build-arg conda_version="${invokeai_conda_version}" \
-  --build-arg conda_prefix="${invokeai_conda_prefix}" \
-  --build-arg conda_env_file="${invokeai_conda_env_file}" \
-  --build-arg invokeai_git="${invokeai_git}" \
-  --build-arg invokeai_branch="${invokeai_branch}" \
-  --file ./docker-build/Dockerfile \
+  --tag="${invokeai_tag}" \
+  --build-arg="PIP_REQUIREMENTS=${pip_requirements}" \
+  --file="${dockerfile}" \
   .
+
+docker run \
+  --rm \
+  --platform="$platform" \
+  --name="$project_name" \
+  --hostname="$project_name" \
+  --mount="source=$volumename,target=/data" \
+  --mount="type=bind,source=$HOME/.huggingface,target=/root/.huggingface" \
+  --env="HUGGINGFACE_TOKEN=${HUGGINGFACE_TOKEN}" \
+  --entrypoint="python3" \
+  "${invokeai_tag}" \
+  scripts/configure_invokeai.py --yes

docker-build/entrypoint.sh

@@ -1,8 +0,0 @@
-#!/bin/bash
-set -e
-
-source "${CONDA_PREFIX}/etc/profile.d/conda.sh"
-conda activate "${PROJECT_NAME}"
-
-python scripts/invoke.py \
-  ${@:---web --host=0.0.0.0}

docker-build/env.sh

@@ -4,7 +4,7 @@ project_name=${PROJECT_NAME:-invokeai}
 volumename=${VOLUMENAME:-${project_name}_data}
 arch=${ARCH:-x86_64}
 platform=${PLATFORM:-Linux/${arch}}
-invokeai_tag=${INVOKEAI_TAG:-${project_name}-${arch}}
+invokeai_tag=${INVOKEAI_TAG:-${project_name}:${arch}}
 
 export project_name
 export volumename

docker-build/run.sh

@@ -7,9 +7,9 @@ docker run \
   --interactive \
   --tty \
   --rm \
-  --platform "$platform" \
-  --name "$project_name" \
-  --hostname "$project_name" \
-  --mount source="$volumename",target=/data \
-  --publish 9090:9090 \
+  --platform="$platform" \
+  --name="$project_name" \
+  --hostname="$project_name" \
+  --mount="source=$volumename,target=/data" \
+  --publish=9090:9090 \
   "$invokeai_tag" ${1:+$@}

docs/CHANGELOG.md

@@ -171,12 +171,12 @@ title: Changelog
 - Integrate sd-v1-5 model into test matrix (easily expandable), remove
   unecesarry caches by @mauwii in
   https://github.com/invoke-ai/InvokeAI/pull/1293
-- add --no-interactive to preload_models step by @mauwii in
+- add --no-interactive to configure_invokeai step by @mauwii in
   https://github.com/invoke-ai/InvokeAI/pull/1302
 - 1-click installer and updater. Uses micromamba to install git and conda into a
   contained environment (if necessary) before running the normal installation
   script by @cmdr2 in https://github.com/invoke-ai/InvokeAI/pull/1253
-- preload_models.py script downloads the weight files by @lstein in
+- configure_invokeai.py script downloads the weight files by @lstein in
   https://github.com/invoke-ai/InvokeAI/pull/1290
 
 ## v2.0.1 <small>(13 October 2022)</small>

docs/features/CLI.md

@@ -269,6 +269,12 @@ value, we are insisting on a more stringent classification.
 invoke> a piece of cake -I /path/to/breakfast.png -tm bagel 0.6
 ```
 
+### Custom Styles and Subjects
+
+You can load and use hundreds of community-contributed Textual
+Inversion models just by typing the appropriate trigger phrase. Please
+see [Concepts Library](CONCEPTS.md) for more details.
+
 # Other Commands
 
 The CLI offers a number of commands that begin with "!".

docs/features/CONCEPTS.md

@@ -0,0 +1,132 @@
+---
+title: The Hugging Face Concepts Library and Importing Textual Inversion files
+---
+
+# :material-file-document: Concepts Library
+
+## Using Textual Inversion Files
+
+Textual inversion (TI) files are small models that customize the output of
+Stable Diffusion image generation. They can augment SD with
+specialized subjects and artistic styles. They are also known as
+"embeds" in the machine learning world.
+
+Each TI file introduces one or more vocabulary terms to the SD
+model. These are known in InvokeAI as "triggers." Triggers are often,
+but not always, denoted using angle brackets as in
+"<trigger-phrase>". The two most common type of TI files that you'll
+encounter are `.pt` and `.bin` files, which are produced by different
+TI training packages. InvokeAI supports both formats, but its [built-in
+TI training system](TEXTUAL_INVERSION.md) produces `.pt`.
+
+The [Hugging Face company](https://huggingface.co/sd-concepts-library)
+has amassed a large ligrary of >800 community-contributed TI files
+covering a broad range of subjects and styles. InvokeAI has built-in
+support for this library which downloads and merges TI files
+automatically upon request. You can also install your own or others'
+TI files by placing them in a designated directory.
+
+### An Example
+
+Here are a few examples to illustrate how it works. All these images
+were generated using the command-line client and the Stable Diffusion
+1.5 model:
+
+Japanese gardener
+<br>
+<img src="../assets/concepts/image1.png">
+
+Japanese gardener &lt;ghibli-face&gt;
+<br>
+<img src="../assets/concepts/image2.png">
+
+Japanese gardener &lt;hoi4-leaders&gt;
+<br>
+<img src="../assets/concepts/image3.png">
+
+Japanese gardener &lt;cartoona-animals&gt;
+<br>
+<img src="../assets/concepts/image4.png">
+
+You can also combine styles and concepts:
+
+A portrait of &lt;alf&gt; in &lt;cartoona-animal&gt; style
+<br>
+<img src="../assets/concepts/image5.png">
+
+## Using a Hugging Face Concept
+
+Hugging Face TI concepts are downloaded and installed automatically as
+you require them. This requires your machine to be connected to the
+Internet. To find out what each concept is for, you can browse the
+[Hugging Face concepts
+library](https://huggingface.co/sd-concepts-library) and look at
+examples of what each concept produces.
+
+When you have an idea of a concept you wish to try, go to the
+command-line client (CLI) and type a "&lt;" character and the beginning
+of the Hugging Face concept name you wish to load.  Press the Tab key,
+and the CLI will show you all matching concepts. You can also type "&lt;"
+and Tab to get a listing of all ~800 concepts, but be prepared to
+scroll up to see them all! If there is more than one match you can
+continue to type and Tab until the concept is completed.
+
+For example if you type "&lt;x" and Tab, you'll be prompted with the completions:
+
+```
+<xatu2>        <xatu>         <xbh>          <xi>           <xidiversity>  <xioboma>      <xuna>         <xyz>          
+```
+
+Now type "id" and press Tab. It will be autocompleted to
+"&lt;xidiversity&gt;" because this is a unique match.
+
+Finish your prompt and generate as usual. You may include multiple
+concept terms in the prompt.
+
+If you have never used this concept before, you will see a message
+that the TI model is being downloaded and installed. After this, the
+concept will be saved locally (in the `models/sd-concepts-library`
+directory) for future use.
+
+Several steps happen during downloading and
+installation, including a scan of the file for malicious code. Should
+any errors occur, you will be warned and the concept will fail to
+load. Generation will then continue treating the trigger term as a
+normal string of characters (e.g. as literal "&lt;ghibli-face&gt;").
+
+Currently auto-installation of concepts is a feature only available on
+the command-line client. Support for the WebUI is a work in progress.
+
+## Installing your Own TI Files
+
+You may install any number of `.pt` and `.bin` files simply by copying
+them into the `embeddings` directory of the InvokeAI runtime directory
+(usually `invokeai` in your home directory). You may create
+subdirectories in order to organize the files in any way you wish. Be
+careful not to overwrite one file with another. For example, TI files
+generated by the Hugging Face toolkit share the named
+`learned_embedding.bin`. You can use subdirectories to keep them
+distinct.
+
+At startup time, InvokeAI will scan the `embeddings` directory and
+load any TI files it finds there. At startup you will see a message
+similar to this one:
+
+```
+>> Current embedding manager terms: *, <HOI4-Leader>, <princess-knight>
+```
+
+Note the "*" trigger term. This is a placeholder term that many early
+TI tutorials taught people to use rather than a more descriptive
+term. Unfortunately, if you have multiple TI files that all use this
+term, only the first one loaded will be triggered by use of the term.
+
+To avoid this problem, you can use the `merge_embeddings.py` script to
+merge two or more TI files together. If it encounters a collision of
+terms, the script will prompt you to select new terms that do not
+collide. See [Textual Inversion](TEXTUAL_INVERSION.md) for details.
+
+## Further Reading
+
+Please see [the repository](https://github.com/rinongal/textual_inversion) and
+associated paper for details and limitations.

docs/features/EMBIGGEN.md

@@ -85,7 +85,7 @@ increasing size, every tile after the first in a row or column
 effectively only covers an extra `1 - overlap_ratio` on each axis. If
 the input/`--init_img` is same size as a tile, the ideal (for time)
 scaling factors with the default overlap (0.25) are 1.75, 2.5, 3.25,
-4.0 etc..
+4.0, etc.
 
 `-embiggen_tiles <spaced list of tiles>`
 
@@ -100,6 +100,15 @@ Tiles are numbered starting with one, and left-to-right,
 top-to-bottom.  So, if you are generating a 3x3 tiled image, the
 middle row would be `4 5 6`.
 
+`-embiggen_strength <strength>`
+
+Another advanced option if you want to experiment with the strength parameter
+that embiggen uses when it calls Img2Img. Values range from 0.0 to 1.0
+and lower values preserve more of the character of the initial image.
+Values that are too high will result in a completely different end image,
+while values that are too low will result in an image not dissimilar to one
+you would get with ESRGAN upscaling alone. The default value is 0.4.
+
 ### Examples
 
 !!! example ""

docs/features/NSFW.md

@@ -0,0 +1,89 @@
+---
+title: The NSFW Checker
+---
+
+# :material-image-off: NSFW Checker
+
+## The NSFW ("Safety") Checker
+
+The Stable Diffusion image generation models will produce sexual
+imagery if deliberately prompted, and will occasionally produce such
+images when this is not intended. Such images are colloquially known
+as "Not Safe for Work" (NSFW). This behavior is due to the nature of
+the training set that Stable Diffusion was trained on, which culled
+millions of "aesthetic" images from the Internet.
+
+You may not wish to be exposed to these images, and in some
+jurisdictions it may be illegal to publicly distribute such imagery,
+including mounting a publicly-available server that provides
+unfiltered images to the public. Furthermore, the [Stable Diffusion
+weights
+License](https://github.com/invoke-ai/InvokeAI/blob/main/LICENSE-ModelWeights.txt)
+forbids the model from being used to "exploit any of the
+vulnerabilities of a specific group of persons."
+
+For these reasons Stable Diffusion offers a "safety checker," a
+machine learning model trained to recognize potentially disturbing
+imagery. When a potentially NSFW image is detected, the checker will
+blur the image and paste a warning icon on top. The checker can be
+turned on and off on the command line using `--nsfw_checker` and
+`--no-nsfw_checker`.
+
+At installation time, InvokeAI will ask whether the checker should be
+activated by default (neither argument given on the command line). The
+response is stored in the InvokeAI initialization file (usually
+`.invokeai` in your home directory). You can change the default at any
+time by opening this file in a text editor and commenting or
+uncommenting the line `--nsfw_checker`.
+
+## Caveats
+
+There are a number of caveats that you need to be aware of.
+
+### Accuracy
+
+The checker is [not perfect](https://arxiv.org/abs/2210.04610).It will
+occasionally flag innocuous images (false positives), and will
+frequently miss violent and gory imagery (false negatives). It rarely
+fails to flag sexual imagery, but this has been known to happen. For
+these reasons, the InvokeAI team prefers to refer to the software as a
+"NSFW Checker" rather than "safety checker."
+
+### Memory Usage and Performance
+
+The NSFW checker consumes an additional 1.2G of GPU VRAM on top of the
+3.4G of VRAM used by Stable Diffusion v1.5 (this is with
+half-precision arithmetic). This means that the checker will not run
+successfully on GPU cards with less than 6GB VRAM, and will reduce the
+size of the images that you can produce.
+
+The checker also introduces a slight performance penalty. Images will
+take ~1 second longer to generate when the checker is
+activated. Generally this is not noticeable.
+
+### Intermediate Images in the Web UI
+
+The checker only operates on the final image produced by the Stable
+Diffusion algorithm. If you are using the Web UI and have enabled the
+display of intermediate images, you will briefly be exposed to a
+low-resolution (mosaicized) version of the final image before it is
+flagged by the checker and replaced by a fully blurred version. You
+are encouraged to turn **off** intermediate image rendering when you
+are using the checker. Future versions of InvokeAI will apply
+additional blurring to intermediate images when the checker is active.
+
+### Watermarking
+
+InvokeAI does not apply any sort of watermark to images it
+generates. However, it does write metadata into the PNG data area,
+including the prompt used to generate the image and relevant parameter
+settings. These fields can be examined using the `sd-metadata.py`
+script that comes with the InvokeAI package.
+
+Note that several other Stable Diffusion distributions offer
+wavelet-based "invisible" watermarking. We have experimented with the
+library used to generate these watermarks and have reached the
+conclusion that while the watermarking library may be adding
+watermarks to PNG images, the currently available version is unable to
+retrieve them successfully. If and when a functioning version of the
+library becomes available, we will offer this feature as well.

docs/features/OTHER.md

@@ -133,29 +133,6 @@ outputs = g.txt2img("a unicorn in manhattan")
 
 Outputs is a list of lists in the format [filename1,seed1],[filename2,seed2]...].
 
-Please see ldm/generate.py for more information. A set of example scripts is coming RSN.
+Please see the documentation in ldm/generate.py for more information.
 
 ---
-
-## **Preload Models**
-
-In situations where you have limited internet connectivity or are blocked behind a firewall, you can
-use the preload script to preload the required files for Stable Diffusion to run.
-
-The preload script `scripts/preload_models.py` needs to be run once at least while connected to the
-internet. In the following runs, it will load up the cached versions of the required files from the
-`.cache` directory of the system.
-
-```bash
-(invokeai) ~/stable-diffusion$ python3 ./scripts/preload_models.py
-preloading bert tokenizer...
-Downloading: 100%|██████████████████████████████████| 28.0/28.0 [00:00<00:00, 49.3kB/s]
-Downloading: 100%|██████████████████████████████████| 226k/226k [00:00<00:00, 2.79MB/s]
-Downloading: 100%|██████████████████████████████████| 455k/455k [00:00<00:00, 4.36MB/s]
-Downloading: 100%|██████████████████████████████████| 570/570 [00:00<00:00, 477kB/s]
-...success
-preloading kornia requirements...
-Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth" to /u/lstein/.cache/torch/hub/checkpoints/checkpoint_liberty_with_aug.pth
-100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s]
-...success
-```

docs/features/OUTPAINTING.md

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

docs/features/POSTPROCESS.md

@@ -28,11 +28,11 @@ should "just work" without further intervention. Simply pass the `--upscale`
 the popup in the Web GUI.
 
 **GFPGAN** requires a series of downloadable model files to work. These are
-loaded when you run `scripts/preload_models.py`. If GFPAN is failing with an
+loaded when you run `scripts/configure_invokeai.py`. If GFPAN is failing with an
 error, please run the following from the InvokeAI directory:
 
 ```bash
-python scripts/preload_models.py
+python scripts/configure_invokeai.py
 ```
 
 If you do not run this script in advance, the GFPGAN module will attempt to
@@ -110,7 +110,7 @@ This repo also allows you to perform face restoration using
 [CodeFormer](https://github.com/sczhou/CodeFormer).
 
 In order to setup CodeFormer to work, you need to download the models like with
-GFPGAN. You can do this either by running `preload_models.py` or by manually
+GFPGAN. You can do this either by running `configure_invokeai.py` or by manually
 downloading the
 [model file](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth)
 and saving it to `ldm/invoke/restoration/codeformer/weights` folder.

docs/features/UNIFIED_CANVAS.md

@@ -0,0 +1,117 @@
+The Unified Canvas is a tool designed to streamline and simplify the process of composing an image using Stable Diffusion. It offers artists all of the available Stable Diffusion generation modes (Text To Image, Image To Image, Inpainting, and Outpainting) as a single unified workflow. The flexibility of the tool allows you to tweak and edit image generations, extend images beyond their initial size, and to create new content in a freeform way both inside and outside of existing images. 
+
+This document explains the basics of using the Unified Canvas, introducing you to its features and tools one by one. It also describes some of the more advanced tools available to power users of the Canvas.
+
+# Basics
+The Unified Canvas consists of two layers: the **Base Layer** and the **Mask Layer**. You can swap from one layer to the other by selecting the layer you want in the drop-down menu on the top left corner of the Unified Canvas, or by pressing the (Q) hotkey.
+
+### Base Layer
+The **Base Layer** is the image content currently managed by the Canvas, and can be exported at any time to the gallery by using the **Save to Gallery** option. When the Base Layer is selected, the Brush (B) and Eraser (E) tools will directly manipulate the base layer. Any images uploaded to the Canvas, or sent to the Unified Canvas from the gallery, will clear out all existing content and set the Base layer to the new image.
+
+### Staging Area
+When you generate images, they will display in the Canvas's **Staging Area**, alongside the Staging Area toolbar buttons. While the Staging Area is active, you cannot interact with the Canvas itself.
+
+<figure markdown>
+![staging area](../assets/canvas/staging_area.png)
+</figure>
+
+Accepting generations will commit the new generation to the **Base Layer**. You can review all generated images using the Prev/Next arrows, save any individual generations to your gallery (without committing to the Base layer) or discard generations. While you can Undo a discard in an individual Canvas session, any generations that are not saved will be lost when the Canvas resets.
+
+### Mask Layer
+The **Mask Layer** consists of any masked sections that have been created to inform Inpainting generations. You can paint a new mask, or edit an existing mask, using the Brush tool and the Eraser with the Mask layer set as your Active layer. Any masked areas will only affect generation inside of the current bounding box.
+
+### Bounding Box
+When generating a new image, Invoke will process and apply new images within the area denoted by the **Bounding Box**. The Width & Height settings of the Bounding Box, as well as its location within the Unified Canvas and pixels or empty space that it encloses, determine how new invocations are generated - see [Inpainting & Outpainting](#inpainting-and-outpainting) below. The Bounding Box can be moved and resized using the Move (V) tool. It can also be resized using the Bounding Box options in the Options Panel. By using these controls you can generate larger or smaller images, control which sections of the image are being processed, as well as control Bounding Box tools like the Bounding Box fill/erase. 
+
+### <a name="inpainting-and-outpainting"></a> Inpainting & Outpainting
+"Inpainting" means asking the AI to refine part of an image while leaving the rest alone. For example, updating a portrait of your grandmother to have her wear a biker's jacket.
+
+<figure markdown>
+![granny with a mask applied](../assets/canvas/mask_granny.png)
+</figure>
+
+<figure markdown>
+![just like magic, granny with a biker's jacket](../assets/canvas/biker_jacket_granny.png)
+</figure>
+
+"Outpainting" means asking the AI to expand the original image beyond its original borders, making a bigger image that's still based on the original. For example, extending the above image of your Grandmother in a biker's jacket to include her wearing jeans (and while we're at it, a motorcycle!)
+
+<figure markdown>
+![more magic - granny with a tattooed arm, denim pants, and an obscured motorcycle](../assets/canvas/biker_jacket_granny.png)
+</figure>
+
+When you are using the Unified Canvas, Invoke decides automatically whether to do Inpainting, Outpainting, ImageToImage, or TextToImage by looking inside the area enclosed by the Bounding Box. It chooses the appropriate type of generation based on whether the Bounding Box contains empty (transparent) areas on the Base layer, or whether it contains colored areas from previous generations (or from painted brushstrokes) on the Base layer, and/or whether the Mask layer contains any brushstrokes. See [Generation Methods](#generation-methods) below for more information.
+
+# Getting Started
+
+To get started with the Unified Canvas, you will want to generate a new base layer using Txt2Img or importing an initial image. We'll refer to either of these methods as the "initial image" in the below guide.
+
+From there, you can consider the following techniques to augment your image:
+* **New Images**: Move the bounding box to an empty area of the Canvas, type in your prompt, and Invoke, to generate a new image using the Text to Image function.
+* **Image Correction**: Use the color picker and brush tool to paint corrections on the image, switch to the Mask layer, and brush a mask over your painted area to use **Inpainting**. You can also use the **ImageToImage** generation method to invoke new interpretations of the image. 
+* **Image Expansion**: Move the bounding box to include a portion of your initial image, and a portion of transparent/empty pixels, then Invoke using a prompt that describes what you'd like to see in that area. This will Outpaint the image. You'll typically find more coherent results if you keep about 50-60% of the original image in the bounding box. Make sure that the Image To Image Strength slider is set to a high value - you may need to set it higher than you are used to.
+* **New Content on Existing Images**: If you want to add new details or objects into your image, use the brush tool to paint a sketch of what you'd like to see on the image, switch to the Mask layer, and brush a mask over your painted area to use **Inpainting**. If the masked area is small, consider using a smaller bounding box to take advantage of Invoke's automatic Scaling features, which can help to produce better details. 
+* **And more**: There are a number of creative ways to use the Canvas, and the above are just starting points. We're excited to see what you come up with!
+
+
+# <a name="generation-methods"></a> Generation Methods
+The Canvas can use all generation methods available (Txt2Img, Img2Img, Inpainting, and Outpainting), and these will be automatically selected and used based on the current selection area within the Bounding Box.
+
+## Text to Image
+If the Bounding Box is placed over an area of Canvas with an **empty Base Layer**, invoking a new image will use **TextToImage**. This generates an entirely new image based on your prompt.
+
+## Image to Image
+If the Bounding Box is placed over an area of Canvas with an **existing Base Layer area with no transparent pixels or masks**, invoking a new image will use **ImageToImage**. This uses the image within the bounding box and your prompt to interpret a new image. The image will be closer to your original image at lower Image to Image strengths.
+
+## Inpainting
+If the Bounding Box is placed over an area of Canvas with an **existing Base Layer and any pixels selected using the Mask layer**, invoking a new image will use **Inpainting**. Inpainting uses the existing colors/forms in the masked area in order to generate a new image for the masked area only. The unmasked portion of the image will remain the same. Image to Image strength applies to the inpainted area.
+
+If you desire something completely different from the original image in your new generation (i.e., if you want Invoke to ignore existing colors/forms), consider toggling the Inpaint Replace setting on, and use high values for both Inpaint Replace and Image To Image Strength.
+
+> Note: By default, the **Scale Before Processing** option &mdash; which inpaints more coherent details by generating at a larger resolution and then scaling &mdash; is only activated when the Bounding Box is relatively small. To get the best inpainting results you should therefore resize your Bounding Box to the smallest area that contains your mask and enough surrounding detail to help Stable Diffusion understand the context of what you want it to draw. You should also update your prompt so that it describes *just* the area within the Bounding Box.
+
+## Outpainting
+If the Bounding Box is placed over an area of Canvas partially filled by an existing Base Layer area and partially by transparent pixels or masks, invoking a new image will use **Outpainting**, as well as **Inpainting** any masked areas.
+
+____
+
+# Advanced Features
+
+Features with non-obvious behavior are detailed below, in order to provide clarity on the intent and common use cases we expect for utilizing them.
+
+## Toolbar
+
+### Mask Options
+* **Enable Mask** - This flag can be used to Enable or Disable the currently painted mask. If you have painted a mask, but you don't want it affect the next invocation, but you *also* don't want to delete it, then you can set this option to Disable. When you want the mask back, set this back to Enable. 
+* **Preserve Masked Area** - When enabled, Preserve Masked Area inverts the effect of the Mask on the Inpainting process. Pixels in masked areas will be kept unchanged, and unmasked areas will be regenerated.
+
+### Creative Tools
+* **Brush - Base/Mask Modes** - The Brush tool switches automatically between different modes of operation for the Base and Mask layers respectively. 
+  * On the Base layer, the brush will directly paint on the Canvas using the color selected on the Brush Options menu. 
+  * On the Mask layer, the brush will create a new mask. If you're finding the mask difficult to see over the existing content of the Unified Canvas, you can change the color it is drawn with using the color selector on the Mask Options dropdown.
+* **Erase Bounding Box** - On the Base layer, erases all pixels within the Bounding Box.
+* **Fill Bounding Box** - On the Base layer, fills all pixels within the Bounding Box with the currently selected color.
+
+### Canvas Tools
+* **Move Tool** - Allows for manipulation of the Canvas view (by dragging on the Canvas, outside the bounding box), the Bounding Box (by dragging the edges of the box), or the Width/Height of the Bounding Box (by dragging one of the 9 directional handles).
+* **Reset View** - Click to re-orients the view to the center of the Bounding Box. 
+* **Merge Visible** - If your browser is having performance problems drawing the image in the Unified Canvas, click this to consolidate all of the information currently being rendered by your browser into a merged copy of the image. This lowers the resource requirements and should improve performance.
+
+## Seam Correction
+When doing Inpainting or Outpainting, Invoke needs to merge the pixels generated 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 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 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
+* **Scale Before Processing & W/H**: When generating images with a bounding box smaller than the optimized W/H of the model (e.g., 512x512 for SD1.5), this feature first generates at a larger size with the same aspect ratio, and then scales that image down to fill the selected area. This is particularly useful when inpainting very small details. Scaling is optional but is enabled by default.
+* **Inpaint Replace**: When Inpainting, the default method is to utilize the existing RGB values of the Base layer to inform the generation process. If Inpaint Replace is enabled, noise is generated and blended with the existing pixels (completely replacing the original RGB values at an Inpaint Replace value of 1). This can help generate more variation from the pixels on the Base layers.
+  * > When using Inpaint Replace you should use a higher Image To Image Strength value, especially at higher Inpaint Replace values
+* **Infill Method**: Invoke currently supports two methods for producing RGB values for use in the Outpainting process: Patchmatch and Tile. We believe that Patchmatch is the superior method, however we provide support for Tile in case Patchmatch cannot be installed or is unavailable on your computer.
+  * **Tile Size**: The Tile method for Outpainting sources small portions of the original image and randomly place these into the areas being Outpainted. This value sets the size of those tiles.
+
+# Hot Keys
+The Unified Canvas is a tool that excels when you use hotkeys. You can view the full list of keyboard shortcuts, updated with all new features, by clicking the Keyboard Shortcuts icon at the top right of the InvokeAI WebUI.

docs/features/WEB.md

@@ -303,6 +303,8 @@ The WebGUI is only rapid development. Check back regularly for updates!
 | `--cors [CORS ...]`                     | Additional allowed origins, comma-separated                                                                                                |
 | `--host HOST`                           | Web server: Host or IP to listen on. Set to 0.0.0.0 to accept traffic from other devices on your network.                                  |
 | `--port PORT`                           | Web server: Port to listen on                                                                                                              |
+| `--certfile CERTFILE`                   | Web server: Path to certificate file to use for SSL. Use together with --keyfile                                                           |
+| `--keyfile KEYFILE`                     | Web server: Path to private key file to use for SSL. Use together with --certfile'                                                         |
 | `--gui`                                 | Start InvokeAI GUI - This is the "desktop mode" version of the web app. It uses Flask to create a desktop app experience of the webserver. |
 
 ### Web Specific Features

docs/index.md

@@ -86,6 +86,10 @@ AMD card (using the ROCm driver). For full installation and upgrade
 instructions, please see:
 [InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
 
+Linux users who wish to make use of the PyPatchMatch inpainting
+functions will need to perform a bit of extra work to enable this
+module. Instructions can be found at [Installing PyPatchMatch](installation/INSTALL_PATCHMATCH.md).
+
 ## :fontawesome-solid-computer: Hardware Requirements
 
 ### :octicons-cpu-24: System
@@ -119,6 +123,27 @@ You wil need one of the following:
     ```bash
     (invokeai) ~/InvokeAI$ python scripts/invoke.py --full_precision
     ```
+## :octicons-gift-24: InvokeAI Features
+
+- [The InvokeAI Web Interface](features/WEB.md)
+    - [WebGUI hotkey reference guide](features/WEBUIHOTKEYS.md)
+    - [WebGUI Unified Canvas for Img2Img, inpainting and outpainting](features/UNIFIED_CANVAS.md)
+<!-- seperator -->
+- [The Command Line Interace](features/CLI.md)
+    - [Image2Image](features/IMG2IMG.md)
+    - [Inpainting](features/INPAINTING.md)
+    - [Outpainting](features/OUTPAINTING.md)
+    - [Adding custom styles and subjects](features/CONCEPTS.md)
+    - [Upscaling and Face Reconstruction](features/POSTPROCESS.md)
+<!-- seperator -->
+- [Generating Variations](features/VARIATIONS.md)
+<!-- seperator -->
+- [Prompt Engineering](features/PROMPTS.md)
+<!-- seperator -->
+- Miscellaneous
+    - [NSFW Checker](features/NSFW.md)
+    - [Embiggen upscaling](features/EMBIGGEN.md)
+    - [Other](features/OTHER.md)
 
 ## :octicons-log-16: Latest Changes
 
@@ -141,7 +166,7 @@ You wil need one of the following:
 - You can now load
   [multiple models and switch among them quickly](https://docs.google.com/presentation/d/1WywGA1rny7bpFh7CLSdTr4nNpVKdlUeT0Bj0jCsILyU/edit?usp=sharing)
   without leaving the CLI.
-- The installation process (via `scripts/preload_models.py`) now lets you select
+- The installation process (via `scripts/configure_invokeai.py`) now lets you select
   among several popular
   [Stable Diffusion models](https://invoke-ai.github.io/InvokeAI/installation/INSTALLING_MODELS/)
   and downloads and installs them on your behalf. Among other models, this

docs/installation/BUILDING_BINARY_INSTALLERS.md

@@ -0,0 +1,85 @@
+# How to build "binary" installers (InvokeAI-mac/windows/linux_on_*.zip)
+
+## 1. Ensure `installers/requirements.in` is correct
+
+and up to date on the branch to be installed.
+
+## <a name="step-2"></a> 2. Run `pip-compile` on each platform.
+
+On each target platform, in the branch that is to be installed, and
+inside the InvokeAI git root folder, run the following commands:
+
+```commandline
+conda activate invokeai # or however you activate python
+pip install pip-tools
+pip-compile --allow-unsafe --generate-hashes --output-file=binary_installer/<reqsfile>.txt binary_installer/requirements.in
+```
+where `<reqsfile>.txt` is whichever of
+```commandline
+py3.10-darwin-arm64-mps-reqs.txt
+py3.10-darwin-x86_64-reqs.txt
+py3.10-linux-x86_64-cuda-reqs.txt
+py3.10-windows-x86_64-cuda-reqs.txt
+```
+matches the current OS and architecture.
+> There is no way to cross-compile these. They must be done on a system matching the target OS and arch.
+
+## <a name="step-3"></a> 3. Set github repository and branch
+
+Once all reqs files have been collected and committed **to the branch
+to be installed**, edit `binary_installer/install.sh.in` and `binary_installer/install.bat.in` so that `RELEASE_URL`
+and `RELEASE_SOURCEBALL` point to the github repo and branch that is
+to be installed.
+
+For example, to install `main` branch of `InvokeAI`, they should be
+set as follows:
+
+`install.sh.in`:
+```commandline
+RELEASE_URL=https://github.com/invoke-ai/InvokeAI
+RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
+```
+
+`install.bat.in`:
+```commandline
+set RELEASE_URL=https://github.com/invoke-ai/InvokeAI
+set RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
+```
+
+Or, to install `damians-cool-feature` branch of `damian0815`, set them
+as follows:
+
+`install.sh.in`:
+```commandline
+RELEASE_URL=https://github.com/damian0815/InvokeAI
+RELEASE_SOURCEBALL=/archive/refs/heads/damians-cool-feature.tar.gz
+```
+
+`install.bat.in`:
+```commandline
+set RELEASE_URL=https://github.com/damian0815/InvokeAI
+set RELEASE_SOURCEBALL=/archive/refs/heads/damians-cool-feature.tar.gz
+```
+
+The branch and repo specified here **must** contain the correct reqs
+files. The installer zip files **do not** contain requirements files,
+they are pulled from the specified branch during the installation
+process.
+
+## 4. Create zip files.
+
+cd into the `installers/` folder and run
+`./create_installers.sh`. This will create
+`InvokeAI-mac_on_<branch>.zip`,
+`InvokeAI-windows_on_<branch>.zip` and
+`InvokeAI-linux_on_<branch>.zip`. These files can be distributed to end users.
+
+These zips will continue to function as installers for all future
+pushes to those branches, as long as necessary changes to
+`requirements.in` are propagated in a timely manner to the
+`py3.10-*-reqs.txt` files using pip-compile as outlined in [step
+2](#step-2).
+
+To actually install, users should unzip the appropriate zip file into an empty
+folder and run `install.sh` on macOS/Linux or `install.bat` on
+Windows.

docs/installation/INSTALLING_MODELS.md

@@ -56,7 +56,7 @@ unofficial Stable Diffusion models and where they can be obtained.
 
 There are three ways to install weights files:
 
-1. During InvokeAI installation, the `preload_models.py` script can download
+1. During InvokeAI installation, the `configure_invokeai.py` script can download
    them for you.
 
 2. You can use the command-line interface (CLI) to import, configure and modify
@@ -65,13 +65,13 @@ There are three ways to install weights files:
 3. You can download the files manually and add the appropriate entries to
    `models.yaml`.
 
-### Installation via `preload_models.py`
+### Installation via `configure_invokeai.py`
 
-This is the most automatic way. Run `scripts/preload_models.py` from the
+This is the most automatic way. Run `scripts/configure_invokeai.py` from the
 console. It will ask you to select which models to download and lead you through
 the steps of setting up a Hugging Face account if you haven't done so already.
 
-To start, run `python scripts/preload_models.py` from within the InvokeAI:
+To start, run `python scripts/configure_invokeai.py` from within the InvokeAI:
 directory
 
 !!! example ""
@@ -238,7 +238,7 @@ arabian-nights-1.0:
 | arabian-nights-1.0 | This is the name of the model that you will refer to from within the CLI and the WebGUI when you need to load and use the model.                                                                                                                                                                                                                                                                                                                                                                                                  |
 | description        | Any description that you want to add to the model to remind you what it is.                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
 | weights            | Relative path to the .ckpt weights file for this model.                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
-| config             | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `preload_models.py` script. |
+| config             | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `configure_invokeai.py` script. |
 | vae                | If you want to add a VAE file to the model, then enter its path here.                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
 | width, height      | This is the width and height of the images used to train the model. Currently they are always 512 and 512.                                                                                                                                                                                                                                                                                                                                                                                                                        |
 

docs/installation/INSTALL_DOCKER.md

@@ -72,14 +72,19 @@ created in the last step.
 
 Some Suggestions of variables you may want to change besides the Token:
 
-| Environment-Variable      | Default value                 | Description                                                                  |
-| ------------------------- | ----------------------------- | ---------------------------------------------------------------------------- |
-| `HUGGINGFACE_TOKEN`       | No default, but **required**! | This is the only **required** variable, without you can't get the checkpoint |
-| `ARCH`                    | x86_64                        | if you are using a ARM based CPU                                             |
-| `INVOKEAI_TAG`            | invokeai-x86_64               | the Container Repository / Tag which will be used                            |
-| `INVOKEAI_CONDA_ENV_FILE` | environment-lin-cuda.yml      | since environment.yml wouldn't work with aarch                               |
-| `INVOKEAI_GIT`            | invoke-ai/InvokeAI            | the repository to use                                                        |
-| `INVOKEAI_BRANCH`         | main                          | the branch to checkout                                                       |
+<figure markdown>
+
+| Environment-Variable | Default value                 | Description                                                                                  |
+| -------------------- | ----------------------------- | -------------------------------------------------------------------------------------------- |
+| `HUGGINGFACE_TOKEN`  | No default, but **required**! | This is the only **required** variable, without it you can't download the huggingface models |
+| `PROJECT_NAME`       | `invokeai`                    | affects the project folder, tag- and volume name                                             |
+| `VOLUMENAME`         | `${PROJECT_NAME}_data`        | Name of the Docker Volume where model files will be stored                                   |
+| `ARCH`               | `x86_64`                      | can be changed to f.e. aarch64 if you are using a ARM based CPU                              |
+| `INVOKEAI_TAG`       | `${PROJECT_NAME}:${ARCH}`     | the Container Repository / Tag which will be used                                            |
+| `PIP_REQUIREMENTS`   | `requirements-lin-cuda.txt`   | the requirements file to use (from `environments-and-requirements`)                          |
+| `INVOKE_DOCKERFILE`  | `docker-build/Dockerfile`     | the Dockerfile which should be built, handy for development                                  |
+
+</figure>
 
 #### Build the Image
 
@@ -106,15 +111,15 @@ When used without arguments, the container will start the webserver and provide
 you the link to open it. But if you want to use some other parameters you can
 also do so.
 
-!!! example ""
+!!! example "run script example"
 
     ```bash
-    ./docker-build/run.sh --from_file tests/validate_pr_prompt.txt
+    ./docker-build/run.sh "banana sushi" -Ak_lms -S42 -s10
     ```
 
-    The output folder is located on the volume which is also used to store the model.
+    This would generate the legendary "banana sushi" with Seed 42, k_lms Sampler and 10 steps. 
 
-    Find out more about available CLI-Parameters at [features/CLI.md](../features/CLI.md/#arguments)
+    Find out more about available CLI-Parameters at [features/CLI.md](../../features/CLI/#arguments)
 
 ---
 

docs/installation/INSTALL_INVOKE.md

@@ -1,8 +1,8 @@
 ---
-title: InvokeAI Installer
+title: InvokeAI Binary Installer
 ---
 
-The InvokeAI installer is a shell script that will install InvokeAI onto a stock
+The InvokeAI binary installer is a shell script that will install InvokeAI onto a stock
 computer running recent versions of Linux, MacOSX or Windows. It will leave you
 with a version that runs a stable version of InvokeAI. When a new version of
 InvokeAI is released, you will download and reinstall the new version.
@@ -35,8 +35,8 @@ recommended model weights files.
 ## Steps to Install
 
 1. Download the
-   [latest release](https://github.com/invoke-ai/InvokeAI/releases/latest) of
-   InvokeAI's installer for your platform
+   [latest release](https://github.com/invoke-ai/InvokeAI/releases/tag/2.2.0-rc4) of
+   InvokeAI's installer for your platform. Look for a file named `InvokeAI-binary-<your platform>.zip`
 
 2. Place the downloaded package someplace where you have plenty of HDD space,
    and have full permissions (i.e. `~/` on Lin/Mac; your home folder on Windows)

docs/installation/INSTALL_JUPYTER.md

@@ -2,7 +2,7 @@
 title: Running InvokeAI on Google Colab using a Jupyter Notebook
 ---
 
-# THIS NEEDS TO BE FLESHED OUT
+# THIS DOCUMENTATION IS UNFINISHED - VOLUNTEERS GRATEFULLY ACCEPTED
 
 ## Introduction
 
@@ -22,6 +22,4 @@ start running the cells one-by-one.
 
 ### Updating the stable version
 
-### Updating to the development version
-
 ## Troubleshooting

docs/installation/INSTALL_MANUAL.md

@@ -155,10 +155,10 @@ command-line completion.
         process for this is described in [here](INSTALLING_MODELS.md).
 
     ```bash
-    python scripts/preload_models.py
+    python scripts/configure_invokeai.py
     ```
 
-    The script `preload_models.py` will interactively guide you through the
+    The script `configure_invokeai.py` will interactively guide you through the
     process of downloading and installing the weights files needed for InvokeAI.
     Note that the main Stable Diffusion weights file is protected by a license
     agreement that you have to agree to. The script will list the steps you need
@@ -220,7 +220,7 @@ greatest version, launch the Anaconda window, enter `InvokeAI` and type:
 ```bash
 git pull
 conda env update
-python scripts/preload_models.py --no-interactive  #optional
+python scripts/configure_invokeai.py --no-interactive  #optional
 ```
 
 This will bring your local copy into sync with the remote one. The last step may
@@ -359,7 +359,7 @@ brew install llvm
 
 If brew config has Clang installed, update to the latest llvm and try creating the environment again.
 
-#### `preload_models.py` or `invoke.py` crashes at an early stage
+#### `configure_invokeai.py` or `invoke.py` crashes at an early stage
 
 This is usually due to an incomplete or corrupted Conda install. Make sure you
 have linked to the correct environment file and run `conda update` again.

docs/installation/INSTALL_PATCHMATCH.md

@@ -0,0 +1,86 @@
+---
+title: Installing PyPatchMatch
+---
+
+# :octicons-paintbrush-16: Installing PyPatchMatch
+
+pypatchmatch is a Python module for inpainting images. It is not
+needed to run InvokeAI, but it greatly improves the quality of
+inpainting and outpainting and is recommended.
+
+Unfortunately, it is a C++ optimized module and installation
+can be somewhat challenging. This guide leads you through the steps.
+
+## Windows
+
+You're in luck! On Windows platforms PyPatchMatch will install
+automatically on Windows systems with no extra intervention.
+
+## Macintosh
+
+PyPatchMatch is not currently supported, but the team is working on
+it.
+
+## Linux
+
+Prior to installing PyPatchMatch, you need to take the following
+steps:
+
+1. Install the `build-essential` tools:
+
+   ```
+   sudo apt update
+   sudo apt install build-essential
+   ```
+
+2. Install `opencv`:
+
+   ```
+   sudo apt install python3-opencv libopencv-dev
+   ```
+
+3. Fix the naming of the `opencv` package configuration file:
+
+   ```
+   cd /usr/lib/x86_64-linux-gnu/pkgconfig/
+   ln -sf opencv4.pc opencv.pc
+
+4. Activate the environment you use for invokeai, either with
+`conda` or with a virtual environment.
+
+5. Do a "develop" install of pypatchmatch:
+
+   ```
+   pip install -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.3#egg=pypatchmatch
+   ```
+
+6. Confirm that pypatchmatch is installed.
+   At the command-line prompt enter `python`, and
+   then at the `>>>` line type `from patchmatch import patch_match`:
+   It should look like the follwing:
+
+   ```
+   Python 3.9.5 (default, Nov 23 2021, 15:27:38) 
+   [GCC 9.3.0] on linux
+   Type "help", "copyright", "credits" or "license" for more information.
+   >>> from patchmatch import patch_match
+   Compiling and loading c extensions from "/home/lstein/Projects/InvokeAI/.invokeai-env/src/pypatchmatch/patchmatch".
+   rm -rf build/obj libpatchmatch.so
+   mkdir: created directory 'build/obj'
+   mkdir: created directory 'build/obj/csrc/'
+   [dep] csrc/masked_image.cpp ...
+   [dep] csrc/nnf.cpp ...
+   [dep] csrc/inpaint.cpp ...
+   [dep] csrc/pyinterface.cpp ...
+   [CC] csrc/pyinterface.cpp ...
+   [CC] csrc/inpaint.cpp ...
+   [CC] csrc/nnf.cpp ...
+   [CC] csrc/masked_image.cpp ...
+   [link] libpatchmatch.so ...
+   ```
+
+If you see no errors, then you're ready to go!
+
+
+
+

docs/installation/INSTALL_SOURCE.md

@@ -27,7 +27,7 @@ Though there are multiple steps, there really is only one click involved to kick
 off the process.
 
 1.  The source installer is distributed in ZIP files. Go to the
-    [latest release](https://github.com/invoke-ai/InvokeAI/releases/latest), and
+    [latest release](https://github.com/invoke-ai/InvokeAI/releases/tag/2.2.0-rc4), and
     look for a series of files named:
 
     - invokeAI-src-installer-mac.zip
@@ -55,7 +55,7 @@ off the process.
     named `install.bat` on Windows systems and `install.sh` on Linux and
     Macintosh systems.
 
-4.  Alternatively, form the command line, run the shell script or .bat file:
+4.  Alternatively, from the command line, run the shell script or .bat file:
 
     ```cmd
     C:\Documents\Linco> cd invokeAI
@@ -66,8 +66,17 @@ off the process.
     requirements including Conda, Git and Python, then download the current
     InvokeAI code and install it along with its dependencies.
 
+    Be aware that some of the library download and install steps take a long time.
+    In particular, the `pytorch` package is quite large and often appears to get
+    "stuck" at 99.9%. Similarly, the `pip installing requirements` step may
+    appear to hang. Have patience and the installation step will eventually
+    resume. However, there are occasions when the library install does
+    legitimately get stuck. If you have been waiting for more than ten minutes
+    and nothing is happening, you can interrupt the script with ^C. You may restart
+    it and it will pick up where it left off.
+
 6.  After installation completes, the installer will launch a script called
-    `preload_models.py`, which will guide you through the first-time process of
+    `configure_invokeai.py`, which will guide you through the first-time process of
     selecting one or more Stable Diffusion model weights files, downloading and
     configuring them.
 
@@ -110,6 +119,71 @@ python scripts/invoke.py --web --max_load_models=3 \
 These options are described in detail in the
 [Command-Line Interface](../features/CLI.md) documentation.
 
+## Troubleshooting
+
+_Package dependency conflicts_ If you have previously installed
+InvokeAI or another Stable Diffusion package, the installer may
+occasionally pick up outdated libraries and either the installer or
+`invoke` will fail with complaints out library conflicts. There are
+two steps you can take to clear this problem. Both of these are done
+from within the "developer's console", which you can get to by
+launching `invoke.sh` (or `invoke.bat`) and selecting launch option
+#3:
+
+1. Remove the previous `invokeai` environment completely. From within
+   the developer's console, give the command `conda env remove -n
+   invokeai`. This will delete previous files installed by `invoke`.
+
+   Then exit from the developer's console and launch the script
+   `update.sh` (or `update.bat`). This will download the most recent
+   InvokeAI (including bug fixes) and reinstall the environment.
+   You should then be able to run `invoke.sh`/`invoke.bat`.
+
+2. If this doesn't work, you can try cleaning your system's conda
+   cache. This is slightly more extreme, but won't interfere with
+   any other python-based programs installed on your computer.
+   From the developer's console, run the command `conda clean -a`
+   and answer "yes" to all prompts.
+
+   After this is done, run `update.sh` and try again as before.
+
+_"Corrupted configuration file."__ Everything seems to install ok, but
+`invoke` complains of a corrupted configuration file and goes calls
+`configure_invokeai.py` to fix, but this doesn't fix the problem.
+
+This issue is often caused by a misconfigured configuration directive
+in the `.invokeai` initialization file that contains startup settings.
+This can be corrected by fixing the offending line.
+
+First find `.invokeai`. It is a small text file located in your home
+directory, `~/.invokeai` on Mac and Linux systems, and `C:\Users\*your
+name*\.invokeai` on Windows systems. Open it with a text editor
+(e.g. Notepad on Windows, TextEdit on Macs, or `nano` on Linux)
+and look for the lines starting with `--root` and `--outdir`.
+
+An example is here:
+
+```cmd
+--root="/home/lstein/invokeai"
+--outdir="/home/lstein/invokeai/outputs"
+```
+
+There should not be whitespace before or after the directory paths,
+and the paths should not end with slashes:
+
+```cmd
+--root="/home/lstein/invokeai "     # wrong! no whitespace here
+--root="/home\lstein\invokeai\"     # wrong! shouldn't end in a slash
+```
+
+Fix the problem with your text editor and save as a **plain text**
+file. This should clear the issue.
+
+_If none of these maneuvers fixes the problem_ then please report the
+problem to the [InvokeAI
+Issues](https://github.com/invoke-ai/InvokeAI/issues) section, or
+visit our [Discord Server](https://discord.gg/ZmtBAhwWhy) for interactive assistance.
+
 ## Updating to newer versions
 
 This section describes how to update InvokeAI to new versions of the software.
@@ -119,31 +193,15 @@ This section describes how to update InvokeAI to new versions of the software.
 This distribution is changing rapidly, and we add new features on a daily basis.
 To update to the latest released version (recommended), run the `update.sh`
 (Linux/Mac) or `update.bat` (Windows) scripts. This will fetch the latest
-release and re-run the `preload_models` script to download any updated models
+release and re-run the `configure_invokeai` script to download any updated models
 files that may be needed. You can also use this to add additional models that
 you did not select at installation time.
 
-### Updating to the development version
-
-There may be times that there is a feature in the `development` branch of
-InvokeAI that you'd like to take advantage of. Or perhaps there is a branch that
-corrects an annoying bug. To do this, you will use the developer's console.
-
-From within the invokeAI directory, run the command `invoke.sh` (Linux/Mac) or
-`invoke.bat` (Windows) and selection option (3) to open the developers console.
-Then run the following command to get the `development branch`:
-
-```bash
-git checkout development
-git pull
-conda env update
-```
-
 You can now close the developer console and run `invoke` as before. If you get
 complaints about missing models, then you may need to do the additional step of
-running `preload_models.py`. This happens relatively infrequently. To do this,
+running `configure_invokeai.py`. This happens relatively infrequently. To do this,
 simply open up the developer's console again and type
-`python scripts/preload_models.py`.
+`python scripts/configure_invokeai.py`.
 
 ## Troubleshooting
 

docs/installation/index.md

@@ -5,12 +5,17 @@ title: Overview
 We offer several ways to install InvokeAI, each one suited to your
 experience and preferences.
 
-1. [InvokeAI installer](INSTALL_INVOKE.md)
+1. [InvokeAI binary installer](INSTALL_INVOKE.md)
 
     This is a installer script that installs InvokeAI and all the
-    third party libraries it depends on. When a new version of
-    InvokeAI is released, you will download and reinstall the new
-    version.
+    third party libraries it depends on. It includes access to a
+    "developer console" which will help us debug problems with you and
+    give you to access experimental features.
+
+    When a new InvokeAI release is available, you will run an `update`
+    script to download and install the new version. Intermediate versions
+    that contain experimental and possibly unstable features will not be
+    available.
 
     This installer is designed for people who want the system to "just
     work", don't have an interest in tinkering with it, and do not
@@ -19,23 +24,32 @@ experience and preferences.
     **Important Caveats**
     - This script does not support AMD GPUs. For Linux AMD support,
     please use the manual or source code installer methods.
-    - This script has difficulty on some Macintosh machines
-    that have previously been used for Python development due to
-    conflicting development tools versions. Mac developers may wish
-    to try the source code installer or one of the manual methods instead.
+    - The tab autocomplete feature of the command-line client,
+    which completes commonly used filenames and commands, will
+    not work in this version. All Web UI functions are fully
+    operational, however.
 
-2. [Source code installer](INSTALL_SOURCE.md)
+2. [InvokeAI source code installer](INSTALL_SOURCE.md)
 
-    This is a script that will install InvokeAI and all its essential
-    third party libraries. In contrast to the previous installer, it
-    includes access to a "developer console" which will allow you to
-    access experimental features on the development branch.
+    This is a script that will install Python, the Anaconda ("conda")
+    package manager, all of InvokeAI's its essential third party
+    libraries and InvokeAI itself. It includes access to a "developer
+    console" which will help us debug problems with you and give you
+    to access experimental features.
 
-    This method is recommended for individuals who are wish to stay
-    on the cutting edge of InvokeAI development and are not afraid
-    of occasional breakage.
+    When a new InvokeAI feature is available, even between releases,
+    you will be able to upgrade and try it out by running an `update`
+    script. This method is recommended for individuals who wish to
+    stay on the cutting edge of InvokeAI development and are not
+    afraid of occasional breakage.
 
-3. [Manual Installation](INSTALL_MANUAL.md)
+    **Important Caveats**
+    - This script is a bit cranky and occasionally hangs or times out,
+    forcing you to cancel and restart the script (it will pick up where
+    it left off). It also takes noticeably longer to run than the
+    binary installer.
+
+2. [Manual Installation](INSTALL_MANUAL.md)
 
     In this method you will manually run the commands needed to install
     InvokeAI and its dependencies. We offer two recipes: one suited to
@@ -47,14 +61,14 @@ experience and preferences.
     the cutting edge of future InvokeAI development and is willing to put
     up with occasional glitches and breakage.
 
-4. [Docker Installation](INSTALL_DOCKER.md)
+3. [Docker Installation](INSTALL_DOCKER.md)
 
     We also offer a method for creating Docker containers containing
     InvokeAI and its dependencies. This method is recommended for
     individuals with experience with Docker containers and understand
     the pluses and minuses of a container-based install.
 
-5. [Jupyter Notebooks Installation](INSTALL_JUPYTER.md)
+4. [Jupyter Notebooks Installation](INSTALL_JUPYTER.md)
 
     This method is suitable for running InvokeAI on a Google Colab
     account. It is recommended for individuals who have previously

docs/installation/older_docs_to_be_removed/INSTALL_LINUX.md

@@ -69,7 +69,7 @@ title: Manual Installation, Linux
     machine-learning models:
 
     ```bash
-    (invokeai) ~/InvokeAI$ python3 scripts/preload_models.py
+    (invokeai) ~/InvokeAI$ python3 scripts/configure_invokeai.py
     ```
 
     !!! note

docs/installation/older_docs_to_be_removed/INSTALL_MAC.md

@@ -111,7 +111,7 @@ will do our best to help.
 
 !!! todo "Download the model weight files"
 
-    The `preload_models.py` script downloads and installs the model weight
+    The `configure_invokeai.py` script downloads and installs the model weight
     files for you. It will lead you through the process of getting a Hugging Face
     account, accepting the Stable Diffusion model weight license agreement, and
     creating a download token:
@@ -119,7 +119,7 @@ will do our best to help.
     ```bash
     # This will take some time, depending on the speed of your internet connection
     # and will consume about 10GB of space
-    python scripts/preload_models.py
+    python scripts/configure_invokeai.py
     ```
 
 !!! todo "Run InvokeAI!"
@@ -220,8 +220,8 @@ There are several causes of these errors:
    with "(invokeai)" then you activated it. If it begins with "(base)" or
    something else you haven't.
 
-2. You might've run `./scripts/preload_models.py` or `./scripts/invoke.py`
-   instead of `python ./scripts/preload_models.py` or
+2. You might've run `./scripts/configure_invokeai.py` or `./scripts/invoke.py`
+   instead of `python ./scripts/configure_invokeai.py` or
    `python ./scripts/invoke.py`. The cause of this error is long so it's below.
 
     <!-- I could not find out where the error is, otherwise would have marked it as a footnote -->
@@ -359,7 +359,7 @@ python ./scripts/txt2img.py \
 ### OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'
 
 ```bash
-python scripts/preload_models.py
+python scripts/configure_invokeai.py
 ```
 
 ---

docs/installation/older_docs_to_be_removed/INSTALL_WINDOWS.md

@@ -65,7 +65,7 @@ Note that you will need NVIDIA drivers, Python 3.10, and Git installed beforehan
 7. Load the big stable diffusion weights files and a couple of smaller machine-learning models:
 
     ```bash
-    python scripts/preload_models.py
+    python scripts/configure_invokeai.py
     ```
 
     !!! note

docs/other/CONTRIBUTORS.md

@@ -13,6 +13,19 @@ We thank them for all of their time and hard work.
 
 - [Lincoln D. Stein](mailto:lincoln.stein@gmail.com)
 
+## **Current core team**
+
+* lstein (Lincoln Stein) - Co-maintainer
+* blessedcoolant - Co-maintainer
+* hipsterusername (Kent Keirsey) - Product Manager
+* psychedelicious - Web Team Leader
+* Kyle0654 (Kyle Schouviller) - Node Architect and General Backend Wizard
+* damian0815 - Attention Systems and Gameplay Engineer
+* mauwii (Matthias Wild) - Continuous integration and product maintenance engineer
+* Netsvetaev (Artur Netsvetaev) - UI/UX Developer
+* tildebyte - general gadfly and resident (self-appointed) know-it-all
+* keturn - Lead for Diffusers port
+
 ## **Contributions by**
 
 - [Sean McLellan](https://github.com/Oceanswave)

environments-and-requirements/environment-lin-aarch64.yml

@@ -2,6 +2,7 @@ name: invokeai
 channels:
   - pytorch
   - conda-forge
+  - defaults
 dependencies:
   - albumentations=0.4.3
   - cudatoolkit
@@ -32,6 +33,7 @@ dependencies:
       - dependency_injector==4.40.0
       - getpass_asterisk
       - omegaconf==2.1.1
+      - picklescan
       - pyreadline3
       - realesrgan
       - taming-transformers-rom1504
@@ -39,7 +41,6 @@ dependencies:
       - git+https://github.com/openai/CLIP.git@main#egg=clip
       - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
       - git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-      - git+https://github.com/invoke-ai/GFPGAN#egg=gfpgan
+      - git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
+      - -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.4#egg=pypatchmatch
       - -e .
-variables:
-  PYTORCH_ENABLE_MPS_FALLBACK: 1

environments-and-requirements/environment-lin-amd.yml

@@ -4,7 +4,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python>=3.9
+  - python=3.9.*
   - pip=22.2.2
   - numpy=1.23.3
   - pip:
@@ -23,6 +23,7 @@ dependencies:
     - kornia==0.6.0
     - omegaconf==2.2.3
     - opencv-python==4.5.5.64
+    - picklescan
     - pillow==9.2.0
     - pudb==2019.2
     - pyreadline3
@@ -32,6 +33,7 @@ dependencies:
     - streamlit==1.12.0
     - taming-transformers-rom1504
     - test-tube>=0.7.5
+    - tqdm
     - torch
     - torch-fidelity==0.3.0
     - torchaudio
@@ -39,7 +41,8 @@ dependencies:
     - torchvision
     - transformers==4.21.3
     - git+https://github.com/openai/CLIP.git@main#egg=clip
-    - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
+    - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
     - git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-    - git+https://github.com/invoke-ai/GFPGAN#egg=gfpgan
+    - git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
+    - -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.4#egg=pypatchmatch
     - -e .

environments-and-requirements/environment-lin-cuda.yml

@@ -4,7 +4,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python>=3.9
+  - python=3.9.*
   - pip=22.2.2
   - numpy=1.23.3
   - torchvision=0.13.1
@@ -26,6 +26,7 @@ dependencies:
     - kornia==0.6.0
     - omegaconf==2.2.3
     - opencv-python==4.5.5.64
+    - picklescan
     - pillow==9.2.0
     - pudb==2019.2
     - pyreadline3
@@ -39,7 +40,8 @@ dependencies:
     - torchmetrics==0.7.0
     - transformers==4.21.3
     - git+https://github.com/openai/CLIP.git@main#egg=clip
-    - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
+    - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
     - git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-    - git+https://github.com/invoke-ai/GFPGAN#egg=gfpgan
+    - git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
+    - -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.4#egg=pypatchmatch
     - -e .

environments-and-requirements/environment-mac.yml

@@ -52,13 +52,14 @@ dependencies:
   - transformers=4.23
   - pip:
       - getpass_asterisk
+      - picklescan
       - taming-transformers-rom1504
       - test-tube==0.7.5
       - git+https://github.com/openai/CLIP.git@main#egg=clip
-      - git+https://github.com/invoke-ai/k-diffusion.git@mps#egg=k_diffusion
-      - git+https://github.com/invoke-ai/Real-ESRGAN.git#egg=realesrgan
-      - git+https://github.com/invoke-ai/GFPGAN.git#egg=gfpgan
+      - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
       - git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
+      - git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
+      - -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.4#egg=pypatchmatch
       - -e .
 variables:
   PYTORCH_ENABLE_MPS_FALLBACK: 1

environments-and-requirements/environment-win-cuda.yml

@@ -4,7 +4,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python>=3.9
+  - python=3.10.*
   - pip=22.2.2
   - numpy=1.23.3
   - torchvision=0.13.1
@@ -27,6 +27,7 @@ dependencies:
     - kornia==0.6.0
     - omegaconf==2.2.3
     - opencv-python==4.5.5.64
+    - picklescan
     - pillow==9.2.0
     - pudb==2019.2
     - pyreadline3
@@ -42,5 +43,6 @@ dependencies:
     - git+https://github.com/openai/CLIP.git@main#egg=clip
     - git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
     - git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-    - git+https://github.com/invoke-ai/GFPGAN#egg=gfpgan
+    - git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.1#egg=gfpgan
+    - -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.4#egg=pypatchmatch
     - -e .

environments-and-requirements/requirements-base.txt

@@ -4,6 +4,7 @@ dependency_injector==4.40.0
 diffusers
 einops
 eventlet
+facexlib
 flask==2.1.3
 flask_cors==3.0.10
 flask_socketio==5.3.0
@@ -22,15 +23,19 @@ pudb
 pyreadline3
 pytorch-lightning==1.7.7
 realesrgan
+requests==2.25.1
 scikit-image>=0.19
 send2trash
 streamlit
 taming-transformers-rom1504
-test-tube
+test-tube>=0.7.5
 torch-fidelity
 torchmetrics
 transformers==4.21.*
+picklescan
+git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.1#egg=gfpgan ; platform_system == 'Windows'
+git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan ; platform_system != 'Windows'
 git+https://github.com/openai/CLIP.git@main#egg=clip
 git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
 git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-git+https://github.com/invoke-ai/GFPGAN#egg=gfpgan
+git+https://github.com/invoke-ai/PyPatchMatch@0.1.4#egg=pypatchmatch

environments-and-requirements/requirements-lin-amd.txt

@@ -1,6 +1,5 @@
 -r environments-and-requirements/requirements-base.txt
-
-# Get hardware-appropriate torch/torchvision 
+# Get hardware-appropriate torch/torchvision
 --extra-index-url https://download.pytorch.org/whl/rocm5.1.1 --trusted-host https://download.pytorch.org
 torch
 torchvision

environments-and-requirements/requirements-mac-mps-cpu.txt

@@ -1,5 +1,5 @@
 -r environments-and-requirements/requirements-base.txt
-
+grpcio<1.51.0
 protobuf==3.19.6
 torch<1.13.0
 torchvision<0.14.0

environments-and-requirements/requirements-win-colab-cuda.txt

@@ -1,6 +1,5 @@
 -r environments-and-requirements/requirements-base.txt
-
-# Get hardware-appropriate torch/torchvision 
+# Get hardware-appropriate torch/torchvision
 --extra-index-url https://download.pytorch.org/whl/cu116 --trusted-host https://download.pytorch.org
 basicsr==1.4.1
 torch==1.12.1

frontend/README.md

@@ -5,7 +5,7 @@
 - `python scripts/dream.py --web` serves both frontend and backend at
   http://localhost:9090
 
-## Environment
+## Evironment
 
 Install [node](https://nodejs.org/en/download/) (includes npm) and optionally
 [yarn](https://yarnpkg.com/getting-started/install).
@@ -15,7 +15,7 @@ packages.
 
 ## Dev
 
-1. From `frontend/`, run `npm run dev` / `yarn dev` to start the dev server.
+1. From `frontend/`, run `npm dev` / `yarn dev` to start the dev server.
 2. Run `python scripts/dream.py --web`.
 3. Navigate to the dev server address e.g. `http://localhost:5173/`.
 

frontend/dist/index.html

@@ -6,8 +6,8 @@
   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
   <title>InvokeAI - A Stable Diffusion Toolkit</title>
   <link rel="shortcut icon" type="icon" href="./assets/favicon.0d253ced.ico" />
-  <script type="module" crossorigin src="./assets/index.a8ba2a6c.js"></script>
-  <link rel="stylesheet" href="./assets/index.40a72c80.css">
+  <script type="module" crossorigin src="./assets/index.637f12bd.js"></script>
+  <link rel="stylesheet" href="./assets/index.c609c0c8.css">
 </head>
 
 <body>

frontend/eslintconfig.json

@@ -0,0 +1,23 @@
+{
+  "eslintConfig": {
+    "extends": [
+      "eslint:recommended",
+      "plugin:@typescript-eslint/recommended",
+      "plugin:react-hooks/recommended"
+    ],
+    "parser": "@typescript-eslint/parser",
+    "plugins": ["@typescript-eslint", "eslint-plugin-react-hooks"],
+    "root": true,
+    "settings": {
+      "import/resolver": {
+        "node": {
+          "paths": ["src"],
+          "extensions": [".js", ".jsx", ".ts", ".tsx"]
+        }
+      }
+    },
+    "rules": {
+      "react/jsx-filename-extension": [1, { "extensions": [".tsx", ".ts"] }]
+    }
+  }
+}

frontend/package.json

@@ -7,11 +7,13 @@
     "dev": "vite dev",
     "build": "tsc && vite build",
     "build-dev": "tsc && vite build -m development",
-    "preview": "vite preview"
+    "preview": "vite preview",
+    "postinstall": "patch-package"
   },
   "dependencies": {
     "@chakra-ui/icons": "^2.0.10",
     "@chakra-ui/react": "^2.3.1",
+    "@emotion/cache": "^11.10.5",
     "@emotion/react": "^11.10.4",
     "@emotion/styled": "^11.10.4",
     "@radix-ui/react-context-menu": "^2.0.1",
@@ -29,14 +31,18 @@
     "react-colorful": "^5.6.1",
     "react-dom": "^18.2.0",
     "react-dropzone": "^14.2.2",
-    "react-hotkeys-hook": "^3.4.7",
+    "react-hotkeys-hook": "4.0.2",
     "react-icons": "^4.4.0",
     "react-konva": "^18.2.3",
+    "react-konva-utils": "^0.3.0",
     "react-redux": "^8.0.2",
     "react-transition-group": "^4.4.5",
+    "react-zoom-pan-pinch": "^2.1.3",
+    "redux-deep-persist": "^1.0.6",
     "redux-persist": "^6.0.0",
     "socket.io": "^4.5.2",
     "socket.io-client": "^4.5.2",
+    "use-image": "^1.1.0",
     "uuid": "^9.0.0",
     "yarn": "^1.22.19"
   },
@@ -51,10 +57,13 @@
     "eslint": "^8.23.0",
     "eslint-plugin-prettier": "^4.2.1",
     "eslint-plugin-react-hooks": "^4.6.0",
+    "patch-package": "^6.5.0",
+    "postinstall-postinstall": "^2.1.0",
     "sass": "^1.55.0",
     "tsc-watch": "^5.0.3",
     "typescript": "^4.6.4",
     "vite": "^3.0.7",
-    "vite-plugin-eslint": "^1.8.1"
+    "vite-plugin-eslint": "^1.8.1",
+    "vite-tsconfig-paths": "^3.5.2"
   }
 }

frontend/patches/redux-deep-persist+1.0.6.patch

@@ -0,0 +1,24 @@
+diff --git a/node_modules/redux-deep-persist/lib/types.d.ts b/node_modules/redux-deep-persist/lib/types.d.ts
+index b67b8c2..7fc0fa1 100644
+--- a/node_modules/redux-deep-persist/lib/types.d.ts
++++ b/node_modules/redux-deep-persist/lib/types.d.ts
+@@ -35,6 +35,7 @@ export interface PersistConfig<S, RS = any, HSS = any, ESS = any> {
+     whitelist?: Array<string>;
+     transforms?: Array<Transform<HSS, ESS, S, RS>>;
+     throttle?: number;
++    debounce?: number;
+     migrate?: PersistMigrate;
+     stateReconciler?: false | StateReconciler<S>;
+     getStoredState?: (config: PersistConfig<S, RS, HSS, ESS>) => Promise<PersistedState>;
+diff --git a/node_modules/redux-deep-persist/src/types.ts b/node_modules/redux-deep-persist/src/types.ts
+index 398ac19..cbc5663 100644
+--- a/node_modules/redux-deep-persist/src/types.ts
++++ b/node_modules/redux-deep-persist/src/types.ts
+@@ -91,6 +91,7 @@ export interface PersistConfig<S, RS = any, HSS = any, ESS = any> {
+     whitelist?: Array<string>;
+     transforms?: Array<Transform<HSS, ESS, S, RS>>;
+     throttle?: number;
++    debounce?: number;
+     migrate?: PersistMigrate;
+     stateReconciler?: false | StateReconciler<S>;
+     /**

frontend/patches/redux-persist+6.0.0.patch

@@ -0,0 +1,116 @@
+diff --git a/node_modules/redux-persist/es/createPersistoid.js b/node_modules/redux-persist/es/createPersistoid.js
+index 8b43b9a..184faab 100644
+--- a/node_modules/redux-persist/es/createPersistoid.js
++++ b/node_modules/redux-persist/es/createPersistoid.js
+@@ -6,6 +6,7 @@ export default function createPersistoid(config) {
+   var whitelist = config.whitelist || null;
+   var transforms = config.transforms || [];
+   var throttle = config.throttle || 0;
++  var debounce = config.debounce || 0;
+   var storageKey = "".concat(config.keyPrefix !== undefined ? config.keyPrefix : KEY_PREFIX).concat(config.key);
+   var storage = config.storage;
+   var serialize;
+@@ -28,30 +29,37 @@ export default function createPersistoid(config) {
+   var timeIterator = null;
+   var writePromise = null;
+ 
+-  var update = function update(state) {
+-    // add any changed keys to the queue
+-    Object.keys(state).forEach(function (key) {
+-      if (!passWhitelistBlacklist(key)) return; // is keyspace ignored? noop
++  // Timer for debounced `update()`
++  let timer = 0;
+ 
+-      if (lastState[key] === state[key]) return; // value unchanged? noop
++  function update(state) {
++    // Debounce the update
++    clearTimeout(timer);
++    timer = setTimeout(() => {
++      // add any changed keys to the queue
++      Object.keys(state).forEach(function (key) {
++        if (!passWhitelistBlacklist(key)) return; // is keyspace ignored? noop
+ 
+-      if (keysToProcess.indexOf(key) !== -1) return; // is key already queued? noop
++        if (lastState[key] === state[key]) return; // value unchanged? noop
+ 
+-      keysToProcess.push(key); // add key to queue
+-    }); //if any key is missing in the new state which was present in the lastState,
+-    //add it for processing too
++        if (keysToProcess.indexOf(key) !== -1) return; // is key already queued? noop
+ 
+-    Object.keys(lastState).forEach(function (key) {
+-      if (state[key] === undefined && passWhitelistBlacklist(key) && keysToProcess.indexOf(key) === -1 && lastState[key] !== undefined) {
+-        keysToProcess.push(key);
+-      }
+-    }); // start the time iterator if not running (read: throttle)
++        keysToProcess.push(key); // add key to queue
++      }); //if any key is missing in the new state which was present in the lastState,
++      //add it for processing too
+ 
+-    if (timeIterator === null) {
+-      timeIterator = setInterval(processNextKey, throttle);
+-    }
++      Object.keys(lastState).forEach(function (key) {
++        if (state[key] === undefined && passWhitelistBlacklist(key) && keysToProcess.indexOf(key) === -1 && lastState[key] !== undefined) {
++          keysToProcess.push(key);
++        }
++      }); // start the time iterator if not running (read: throttle)
++
++      if (timeIterator === null) {
++        timeIterator = setInterval(processNextKey, throttle);
++      }
+ 
+-    lastState = state;
++      lastState = state;
++    }, debounce)
+   };
+ 
+   function processNextKey() {
+diff --git a/node_modules/redux-persist/es/types.js.flow b/node_modules/redux-persist/es/types.js.flow
+index c50d3cd..39d8be2 100644
+--- a/node_modules/redux-persist/es/types.js.flow
++++ b/node_modules/redux-persist/es/types.js.flow
+@@ -19,6 +19,7 @@ export type PersistConfig = {
+   whitelist?: Array<string>,
+   transforms?: Array<Transform>,
+   throttle?: number,
++  debounce?: number,
+   migrate?: (PersistedState, number) => Promise<PersistedState>,
+   stateReconciler?: false | Function,
+   getStoredState?: PersistConfig => Promise<PersistedState>, // used for migrations
+diff --git a/node_modules/redux-persist/lib/types.js.flow b/node_modules/redux-persist/lib/types.js.flow
+index c50d3cd..39d8be2 100644
+--- a/node_modules/redux-persist/lib/types.js.flow
++++ b/node_modules/redux-persist/lib/types.js.flow
+@@ -19,6 +19,7 @@ export type PersistConfig = {
+   whitelist?: Array<string>,
+   transforms?: Array<Transform>,
+   throttle?: number,
++  debounce?: number,
+   migrate?: (PersistedState, number) => Promise<PersistedState>,
+   stateReconciler?: false | Function,
+   getStoredState?: PersistConfig => Promise<PersistedState>, // used for migrations
+diff --git a/node_modules/redux-persist/src/types.js b/node_modules/redux-persist/src/types.js
+index c50d3cd..39d8be2 100644
+--- a/node_modules/redux-persist/src/types.js
++++ b/node_modules/redux-persist/src/types.js
+@@ -19,6 +19,7 @@ export type PersistConfig = {
+   whitelist?: Array<string>,
+   transforms?: Array<Transform>,
+   throttle?: number,
++  debounce?: number,
+   migrate?: (PersistedState, number) => Promise<PersistedState>,
+   stateReconciler?: false | Function,
+   getStoredState?: PersistConfig => Promise<PersistedState>, // used for migrations
+diff --git a/node_modules/redux-persist/types/types.d.ts b/node_modules/redux-persist/types/types.d.ts
+index b3733bc..2a1696c 100644
+--- a/node_modules/redux-persist/types/types.d.ts
++++ b/node_modules/redux-persist/types/types.d.ts
+@@ -35,6 +35,7 @@ declare module "redux-persist/es/types" {
+     whitelist?: Array<string>;
+     transforms?: Array<Transform<HSS, ESS, S, RS>>;
+     throttle?: number;
++    debounce?: number;
+     migrate?: PersistMigrate;
+     stateReconciler?: false | StateReconciler<S>;
+     /**

frontend/src/app/App.scss

@@ -1,5 +1,9 @@
 @use '../styles/Mixins/' as *;
 
+svg {
+  fill: var(--svg-color);
+}
+
 .App {
   display: grid;
   width: 100vw;

frontend/src/app/App.tsx

@@ -1,89 +1,19 @@
-import { useEffect } from 'react';
-import ProgressBar from '../features/system/ProgressBar';
-import SiteHeader from '../features/system/SiteHeader';
-import Console from '../features/system/Console';
-import { useAppDispatch } from './store';
-import { requestSystemConfig } from './socketio/actions';
+import ProgressBar from 'features/system/components/ProgressBar';
+import SiteHeader from 'features/system/components/SiteHeader';
+import Console from 'features/system/components/Console';
 import { keepGUIAlive } from './utils';
-import InvokeTabs from '../features/tabs/InvokeTabs';
-import ImageUploader from '../common/components/ImageUploader';
-import { RootState, useAppSelector } from '../app/store';
+import InvokeTabs from 'features/tabs/components/InvokeTabs';
+import ImageUploader from 'common/components/ImageUploader';
 
-import FloatingGalleryButton from '../features/tabs/FloatingGalleryButton';
-import FloatingOptionsPanelButtons from '../features/tabs/FloatingOptionsPanelButtons';
-import { createSelector } from '@reduxjs/toolkit';
-import { GalleryState } from '../features/gallery/gallerySlice';
-import { OptionsState } from '../features/options/optionsSlice';
-import { activeTabNameSelector } from '../features/options/optionsSelectors';
-import { SystemState } from '../features/system/systemSlice';
-import _ from 'lodash';
-import { Model } from './invokeai';
+import useToastWatcher from 'features/system/hooks/useToastWatcher';
+
+import FloatingOptionsPanelButtons from 'features/tabs/components/FloatingOptionsPanelButtons';
+import FloatingGalleryButton from 'features/tabs/components/FloatingGalleryButton';
 
 keepGUIAlive();
 
-const appSelector = createSelector(
-  [
-    (state: RootState) => state.gallery,
-    (state: RootState) => state.options,
-    (state: RootState) => state.system,
-    activeTabNameSelector,
-  ],
-  (
-    gallery: GalleryState,
-    options: OptionsState,
-    system: SystemState,
-    activeTabName
-  ) => {
-    const { shouldShowGallery, shouldHoldGalleryOpen, shouldPinGallery } =
-      gallery;
-    const {
-      shouldShowOptionsPanel,
-      shouldHoldOptionsPanelOpen,
-      shouldPinOptionsPanel,
-    } = options;
-
-    const modelStatusText = _.reduce(
-      system.model_list,
-      (acc: string, cur: Model, key: string) => {
-        if (cur.status === 'active') acc = key;
-        return acc;
-      },
-      ''
-    );
-
-    const shouldShowGalleryButton = !(
-      shouldShowGallery ||
-      (shouldHoldGalleryOpen && !shouldPinGallery)
-    );
-
-    const shouldShowOptionsPanelButton =
-      !(
-        shouldShowOptionsPanel ||
-        (shouldHoldOptionsPanelOpen && !shouldPinOptionsPanel)
-      ) && ['txt2img', 'img2img', 'inpainting'].includes(activeTabName);
-
-    return {
-      modelStatusText,
-      shouldShowGalleryButton,
-      shouldShowOptionsPanelButton,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: _.isEqual,
-    },
-  }
-);
-
 const App = () => {
-  const dispatch = useAppDispatch();
-
-  const { shouldShowGalleryButton, shouldShowOptionsPanelButton } =
-    useAppSelector(appSelector);
-
-  useEffect(() => {
-    dispatch(requestSystemConfig());
-  }, [dispatch]);
+  useToastWatcher();
 
   return (
     <div className="App">
@@ -96,9 +26,9 @@ const App = () => {
         <div className="app-console">
           <Console />
         </div>
-        {shouldShowGalleryButton && <FloatingGalleryButton />}
-        {shouldShowOptionsPanelButton && <FloatingOptionsPanelButtons />}
       </ImageUploader>
+      <FloatingOptionsPanelButtons />
+      <FloatingGalleryButton />
     </div>
   );
 };