Merge branch 'main' into source-installer-improvements

.dockerignore

@@ -1,25 +1,12 @@
-# use this file as a whitelist
 *
-!invokeai
+!backend
+!configs
+!environments-and-requirements
+!frontend
+!installer
 !ldm
-!pyproject.toml
-
-# ignore frontend/web but whitelist dist
-invokeai/frontend/web/
-!invokeai/frontend/web/dist/
-
-# ignore invokeai/assets but whitelist invokeai/assets/web
-invokeai/assets/
-!invokeai/assets/web/
-
-# Guard against pulling in any models that might exist in the directory tree
-**/*.pt*
-**/*.ckpt
-
-# Byte-compiled / optimized / DLL files
-**/__pycache__/
-**/*.py[cod]
-
-# Distribution / packaging
-**/*.egg-info/
-**/*.egg
+!main.py
+!scripts
+!server
+!static
+!setup.py

.git-blame-ignore-revs

@@ -1 +0,0 @@
-b3dccfaeb636599c02effc377cdd8a87d658256c

.gitattributes

@@ -1,4 +1,4 @@
 # Auto normalizes line endings on commit so devs don't need to change local settings.
-# Only affects text files and ignores other file types.
+# Only affects text files and ignores other file types. 
 # For more info see: https://www.aleksandrhovhannisyan.com/blog/crlf-vs-lf-normalizing-line-endings-in-git/
 * text=auto

.github/CODEOWNERS

@@ -1,34 +1,7 @@
-# continuous integration
-/.github/workflows/ @mauwii @lstein @blessedcoolant
-
-# documentation
-/docs/ @lstein @mauwii @tildebyte @blessedcoolant
-/mkdocs.yml @lstein @mauwii @blessedcoolant
-
-# nodes
-/invokeai/app/ @Kyle0654 @blessedcoolant
-
-# installation and configuration
-/pyproject.toml @mauwii @lstein @blessedcoolant
-/docker/ @mauwii @lstein @blessedcoolant
-/scripts/ @ebr @lstein
-/installer/ @lstein @ebr
-/invokeai/assets @lstein @ebr
-/invokeai/configs @lstein
-/invokeai/version @lstein @blessedcoolant
-
-# web ui
-/invokeai/frontend @blessedcoolant @psychedelicious @lstein
-/invokeai/backend @blessedcoolant @psychedelicious @lstein
-
-# generation, model management, postprocessing
-/invokeai/backend @keturn @damian0815 @lstein @blessedcoolant @jpphoto
-
-# front ends
-/invokeai/frontend/CLI @lstein
-/invokeai/frontend/install @lstein @ebr @mauwii 
-/invokeai/frontend/merge @lstein @blessedcoolant @hipsterusername
-/invokeai/frontend/training @lstein @blessedcoolant @hipsterusername
-/invokeai/frontend/web @psychedelicious @blessedcoolant
-
-
+ldm/invoke/pngwriter.py @CapableWeb
+ldm/invoke/server_legacy.py @CapableWeb
+scripts/legacy_api.py @CapableWeb
+tests/legacy_tests.sh @CapableWeb
+installer/ @tildebyte
+.github/workflows/ @mauwii
+docker_build/ @mauwii

.github/ISSUE_TEMPLATE/BUG_REPORT.yml

@@ -65,16 +65,6 @@ body:
       placeholder: 8GB
     validations:
       required: false
-      
-  - type: input
-    id: version-number
-    attributes:
-      label: What version did you experience this issue on?
-      description: |
-        Please share the version of Invoke AI that you experienced the issue on. If this is not the latest version, please update first to confirm the issue still exists. If you are testing main, please include the commit hash instead.
-      placeholder: X.X.X
-    validations:
-      required: true
 
   - type: textarea
     id: what-happened

.github/workflows/build-container.yml

@@ -1,114 +1,43 @@
+# Building the Image without pushing to confirm it is still buildable
+# confirum functionality would unfortunately need way more resources
 name: build container image
 on:
   push:
     branches:
       - 'main'
-      - 'update/ci/docker/*'
-      - 'update/docker/*'
-      - 'dev/ci/docker/*'
-      - 'dev/docker/*'
-    paths:
-      - 'pyproject.toml'
-      - '.dockerignore'
-      - 'invokeai/**'
-      - 'docker/Dockerfile'
-    tags:
-      - 'v*.*.*'
-  workflow_dispatch:
-
-permissions:
-  contents: write
-  packages: write
+      - 'development'
+      - 'update-dockerfile'
 
 jobs:
   docker:
-    if: github.event.pull_request.draft == false
     strategy:
       fail-fast: false
       matrix:
-        flavor:
-          - rocm
-          - cuda
-          - cpu
-        include:
-          - flavor: rocm
-            pip-extra-index-url: 'https://download.pytorch.org/whl/rocm5.2'
-          - flavor: cuda
-            pip-extra-index-url: ''
-          - flavor: cpu
-            pip-extra-index-url: 'https://download.pytorch.org/whl/cpu'
+        arch:
+          - x86_64
+          - aarch64
+        pip-requirements:
+          - requirements-lin-amd.txt
+          - requirements-lin-cuda.txt
     runs-on: ubuntu-latest
-    name: ${{ matrix.flavor }}
-    env:
-      PLATFORMS: 'linux/amd64,linux/arm64'
-      DOCKERFILE: 'docker/Dockerfile'
+    name: ${{ matrix.pip-requirements }} ${{ matrix.arch }}
     steps:
+      - name: prepare docker-tag
+        env:
+          repository: ${{ github.repository }}
+        run: echo "dockertag=${repository,,}" >> $GITHUB_ENV
       - name: Checkout
         uses: actions/checkout@v3
-
-      - name: Docker meta
-        id: meta
-        uses: docker/metadata-action@v4
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          images: |
-            ghcr.io/${{ github.repository }}
-            ${{ vars.DOCKERHUB_REPOSITORY }}
-          tags: |
-            type=ref,event=branch
-            type=ref,event=tag
-            type=pep440,pattern={{version}}
-            type=pep440,pattern={{major}}.{{minor}}
-            type=pep440,pattern={{major}}
-            type=sha,enable=true,prefix=sha-,format=short
-          flavor: |
-            latest=${{ matrix.flavor == 'cuda' && github.ref == 'refs/heads/main' }}
-            suffix=-${{ matrix.flavor }},onlatest=false
-
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v2
-
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v2
-        with:
-          platforms: ${{ env.PLATFORMS }}
-
-      - name: Login to GitHub Container Registry
-        if: github.event_name != 'pull_request'
-        uses: docker/login-action@v2
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Login to Docker Hub
-        if: github.event_name != 'pull_request' && vars.DOCKERHUB_REPOSITORY != ''
-        uses: docker/login-action@v2
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
       - name: Build container
-        id: docker_build
-        uses: docker/build-push-action@v4
+        uses: docker/build-push-action@v3
         with:
           context: .
-          file: ${{ env.DOCKERFILE }}
-          platforms: ${{ env.PLATFORMS }}
-          push: ${{ github.ref == 'refs/heads/main' || github.ref_type == 'tag' }}
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          build-args: PIP_EXTRA_INDEX_URL=${{ matrix.pip-extra-index-url }}
-          cache-from: |
-            type=gha,scope=${{ github.ref_name }}-${{ matrix.flavor }}
-            type=gha,scope=main-${{ matrix.flavor }}
-          cache-to: type=gha,mode=max,scope=${{ github.ref_name }}-${{ matrix.flavor }}
-
-      - name: Docker Hub Description
-        if: github.ref == 'refs/heads/main' || github.ref == 'refs/tags/*' && vars.DOCKERHUB_REPOSITORY != ''
-        uses: peter-evans/dockerhub-description@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-          repository: ${{ vars.DOCKERHUB_REPOSITORY }}
-          short-description: ${{ github.event.repository.description }}
+          file: docker-build/Dockerfile
+          platforms: Linux/${{ matrix.arch }}
+          push: false
+          tags: ${{ env.dockertag }}:${{ matrix.pip-requirements }}-${{ matrix.arch }}
+          build-args: pip_requirements=${{ matrix.pip-requirements }}

.github/workflows/clean-caches.yml

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

.github/workflows/close-inactive-issues.yml

@@ -1,27 +0,0 @@
-name: Close inactive issues
-on:
-  schedule:
-    - cron: "00 6 * * *"
-
-env:
-  DAYS_BEFORE_ISSUE_STALE: 14
-  DAYS_BEFORE_ISSUE_CLOSE: 28
-
-jobs:
-  close-issues:
-    runs-on: ubuntu-latest
-    permissions:
-      issues: write
-      pull-requests: write
-    steps:
-      - uses: actions/stale@v5
-        with:
-          days-before-issue-stale: ${{ env.DAYS_BEFORE_ISSUE_STALE }}
-          days-before-issue-close: ${{ env.DAYS_BEFORE_ISSUE_CLOSE }}
-          stale-issue-label: "Inactive Issue"
-          stale-issue-message: "There has been no activity in this issue for ${{ env.DAYS_BEFORE_ISSUE_STALE }} days. If this issue is still being experienced, please reply with an updated confirmation that the issue is still being experienced with the latest release."
-          close-issue-message: "Due to inactivity, this issue was automatically closed. If you are still experiencing the issue, please recreate the issue."
-          days-before-pr-stale: -1
-          days-before-pr-close: -1
-          repo-token: ${{ secrets.GITHUB_TOKEN }}
-          operations-per-run: 500

.github/workflows/lint-frontend.yml

@@ -1,37 +0,0 @@
-name: Lint frontend
-
-on:
-  pull_request:
-    paths:
-      - 'invokeai/frontend/web/**'
-    types:
-      - 'ready_for_review'
-      - 'opened'
-      - 'synchronize'
-  push:
-    branches:
-      - 'main'
-    paths:
-      - 'invokeai/frontend/web/**'
-  merge_group:
-  workflow_dispatch:
-
-defaults:
-  run:
-    working-directory: invokeai/frontend/web
-
-jobs:
-  lint-frontend:
-    if: github.event.pull_request.draft == false
-    runs-on: ubuntu-22.04
-    steps:
-      - name: Setup Node 18
-        uses: actions/setup-node@v3
-        with:
-          node-version: '18'
-      - uses: actions/checkout@v3
-      - run: 'yarn install --frozen-lockfile'
-      - run: 'yarn run lint:tsc'
-      - run: 'yarn run lint:madge'
-      - run: 'yarn run lint:eslint'
-      - run: 'yarn run lint:prettier'

.github/workflows/mkdocs-material.yml

@@ -5,12 +5,8 @@ on:
       - 'main'
       - 'development'
 
-permissions:
-    contents: write
-
 jobs:
   mkdocs-material:
-    if: github.event.pull_request.draft == false
     runs-on: ubuntu-latest
     steps:
       - name: checkout sources

.github/workflows/pyflakes.yml

@@ -1,20 +0,0 @@
-on:
-  pull_request:
-  push:
-    branches:
-      - main
-      - development
-      - 'release-candidate-*'
-
-jobs:
-  pyflakes:
-    name: runner / pyflakes
-    if: github.event.pull_request.draft == false
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v2
-      - name: pyflakes
-        uses: reviewdog/action-pyflakes@v1
-        with:
-          github_token: ${{ secrets.GITHUB_TOKEN }}
-          reporter: github-pr-review

.github/workflows/pypi-release.yml

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

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

@@ -0,0 +1,135 @@
+name: Test invoke.py
+on:
+  push:
+    branches:
+      - 'main'
+      - 'development'
+      - 'fix-gh-actions-fork'
+  pull_request:
+    branches:
+      - 'main'
+      - 'development'
+
+jobs:
+  matrix:
+    strategy:
+      matrix:
+        stable-diffusion-model:
+          - 'stable-diffusion-1.5'
+        environment-yaml:
+          - environment-lin-amd.yml
+          - environment-lin-cuda.yml
+          - environment-mac.yml
+        include:
+          - environment-yaml: environment-lin-amd.yml
+            os: ubuntu-latest
+            default-shell: bash -l {0}
+          - environment-yaml: environment-lin-cuda.yml
+            os: ubuntu-latest
+            default-shell: bash -l {0}
+          - 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 }}
+    steps:
+      - name: Checkout sources
+        id: checkout-sources
+        uses: actions/checkout@v3
+
+      - name: create models.yaml from example
+        run: |
+          mkdir -p ${{ env.INVOKEAI_ROOT }}/configs
+          cp configs/models.yaml.example ${{ env.INVOKEAI_ROOT }}/configs/models.yaml
+
+      - name: create environment.yml
+        run: cp "environments-and-requirements/${{ matrix.environment-yaml }}" environment.yml
+
+      - name: Use cached conda packages
+        id: use-cached-conda-packages
+        uses: actions/cache@v3
+        with:
+          path: ~/conda_pkgs_dir
+          key: conda-pkgs-${{ runner.os }}-${{ runner.arch }}-${{ hashFiles(matrix.environment-yaml) }}
+
+      - name: Activate Conda Env
+        id: activate-conda-env
+        uses: conda-incubator/setup-miniconda@v2
+        with:
+          activate-environment: ${{ env.CONDA_ENV_NAME }}
+          environment-file: environment.yml
+          miniconda-version: latest
+
+      - name: set test prompt to main branch validation
+        if: ${{ github.ref == 'refs/heads/main' }}
+        run: echo "TEST_PROMPTS=tests/preflight_prompts.txt" >> $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" >> $GITHUB_ENV
+
+      - name: Use Cached Stable Diffusion Model
+        id: cache-sd-model
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-${{ 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: |
+          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 \
+            --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
+        run: |
+          mkdir -p outputs/img-samples
+          conda env export --name ${{ env.CONDA_ENV_NAME }} > outputs/img-samples/environment-${{ runner.os }}-${{ runner.arch }}.yml
+
+      - name: Archive results
+        id: archive-results
+        uses: actions/upload-artifact@v3
+        with:
+          name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
+          path: ${{ env.INVOKEAI_ROOT }}/outputs

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

@@ -1,66 +0,0 @@
-name: Test invoke.py pip
-on:
-  pull_request:
-    paths:
-      - '**'
-      - '!pyproject.toml'
-      - '!invokeai/**'
-      - 'invokeai/frontend/web/**'
-  merge_group:
-  workflow_dispatch:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  matrix:
-    if: github.event.pull_request.draft == false
-    strategy:
-      matrix:
-        python-version:
-          # - '3.9'
-          - '3.10'
-        pytorch:
-          # - linux-cuda-11_6
-          - linux-cuda-11_7
-          - linux-rocm-5_2
-          - linux-cpu
-          - macos-default
-          - windows-cpu
-          # - windows-cuda-11_6
-          # - windows-cuda-11_7
-        include:
-          # - pytorch: linux-cuda-11_6
-          #   os: ubuntu-22.04
-          #   extra-index-url: 'https://download.pytorch.org/whl/cu116'
-          #   github-env: $GITHUB_ENV
-          - pytorch: linux-cuda-11_7
-            os: ubuntu-22.04
-            github-env: $GITHUB_ENV
-          - pytorch: linux-rocm-5_2
-            os: ubuntu-22.04
-            extra-index-url: 'https://download.pytorch.org/whl/rocm5.2'
-            github-env: $GITHUB_ENV
-          - pytorch: linux-cpu
-            os: ubuntu-22.04
-            extra-index-url: 'https://download.pytorch.org/whl/cpu'
-            github-env: $GITHUB_ENV
-          - pytorch: macos-default
-            os: macOS-12
-            github-env: $GITHUB_ENV
-          - pytorch: windows-cpu
-            os: windows-2022
-            github-env: $env:GITHUB_ENV
-          # - pytorch: windows-cuda-11_6
-          #   os: windows-2022
-          #   extra-index-url: 'https://download.pytorch.org/whl/cu116'
-          #   github-env: $env:GITHUB_ENV
-          # - pytorch: windows-cuda-11_7
-          #   os: windows-2022
-          #   extra-index-url: 'https://download.pytorch.org/whl/cu117'
-          #   github-env: $env:GITHUB_ENV
-    name: ${{ matrix.pytorch }} on ${{ matrix.python-version }}
-    runs-on: ${{ matrix.os }}
-    steps:
-      - run: 'echo "No build required"'

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

@@ -3,142 +3,126 @@ on:
   push:
     branches:
       - 'main'
-    paths:
-      - 'pyproject.toml'
-      - 'invokeai/**'
-      - '!invokeai/frontend/web/**'
+      - 'development'
   pull_request:
-    paths:
-      - 'pyproject.toml'
-      - 'invokeai/**'
-      - '!invokeai/frontend/web/**'
-    types:
-      - 'ready_for_review'
-      - 'opened'
-      - 'synchronize'
-  merge_group:
-  workflow_dispatch:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
+    branches:
+      - 'main'
+      - 'development'
 
 jobs:
   matrix:
-    if: github.event.pull_request.draft == false
     strategy:
       matrix:
+        stable-diffusion-model:
+          - stable-diffusion-1.5
+        requirements-file:
+          - requirements-lin-cuda.txt
+          - requirements-lin-amd.txt
+          - requirements-mac-mps-cpu.txt
         python-version:
           # - '3.9'
           - '3.10'
-        pytorch:
-          # - linux-cuda-11_6
-          - linux-cuda-11_7
-          - linux-rocm-5_2
-          - linux-cpu
-          - macos-default
-          - windows-cpu
-          # - windows-cuda-11_6
-          # - windows-cuda-11_7
         include:
-          # - pytorch: linux-cuda-11_6
-          #   os: ubuntu-22.04
-          #   extra-index-url: 'https://download.pytorch.org/whl/cu116'
-          #   github-env: $GITHUB_ENV
-          - pytorch: linux-cuda-11_7
-            os: ubuntu-22.04
-            github-env: $GITHUB_ENV
-          - pytorch: linux-rocm-5_2
-            os: ubuntu-22.04
-            extra-index-url: 'https://download.pytorch.org/whl/rocm5.2'
-            github-env: $GITHUB_ENV
-          - pytorch: linux-cpu
-            os: ubuntu-22.04
-            extra-index-url: 'https://download.pytorch.org/whl/cpu'
-            github-env: $GITHUB_ENV
-          - pytorch: macos-default
+          - 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
-            github-env: $GITHUB_ENV
-          - pytorch: windows-cpu
-            os: windows-2022
-            github-env: $env:GITHUB_ENV
-          # - pytorch: windows-cuda-11_6
-          #   os: windows-2022
-          #   extra-index-url: 'https://download.pytorch.org/whl/cu116'
-          #   github-env: $env:GITHUB_ENV
-          # - pytorch: windows-cuda-11_7
-          #   os: windows-2022
-          #   extra-index-url: 'https://download.pytorch.org/whl/cu117'
-          #   github-env: $env:GITHUB_ENV
-    name: ${{ matrix.pytorch }} on ${{ matrix.python-version }}
+            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: ${{ matrix.default-shell }}
     env:
-      PIP_USE_PEP517: '1'
+      INVOKEAI_ROOT: '${{ 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" >> ${{ matrix.github-env }}
+        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' }}
-        run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }}
+        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: pyproject.toml
+          cache: 'pip'
+          cache-dependency-path: ${{ matrix.requirements-file }}
 
-      - name: install invokeai
+      # - 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:
-          PIP_EXTRA_INDEX_URL: ${{ matrix.extra-index-url }}
-        run: >
-          pip3 install
-          --editable=".[test]"
+          cache-name: cache-${{ matrix.stable-diffusion-model }}
+        with:
+          path: ${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}
+          key: ${{ env.cache-name }}
 
-      - name: run pytest
-        id: run-pytest
-        run: pytest
+      - name: Download ${{ matrix.stable-diffusion-model }}
+        id: download-stable-diffusion-model
+        if: ${{ steps.cache-sd-model.outputs.cache-hit != 'true' }}
+        run: |
+          mkdir -p "${{ env.INVOKEAI_ROOT }}/${{ matrix.stable-diffusion-model-dl-path }}"
+          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: set INVOKEAI_OUTDIR
-        run: >
-          python -c
-          "import os;from invokeai.backend.globals import Globals;OUTDIR=os.path.join(Globals.root,str('outputs'));print(f'INVOKEAI_OUTDIR={OUTDIR}')"
-          >> ${{ matrix.github-env }}
-
-      - name: run invokeai-configure
+      - name: run configure_invokeai.py
         id: run-preload-models
-        env:
-          HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }}
-        run: >
-          invokeai-configure
-          --yes
-          --default_only
-          --full-precision
-        # can't use fp16 weights without a GPU
+        run: |
+          ${{ env.pythonLocation }}/bin/python scripts/configure_invokeai.py --no-interactive --yes
 
-      - name: run invokeai
-        id: run-invokeai
-        env:
-          # Set offline mode to make sure configure preloaded successfully.
-          HF_HUB_OFFLINE: 1
-          HF_DATASETS_OFFLINE: 1
-          TRANSFORMERS_OFFLINE: 1
-        run: >
-          invokeai
-          --no-patchmatch
-          --no-nsfw_checker
-          --from_file ${{ env.TEST_PROMPTS }}
-          --outdir ${{ env.INVOKEAI_OUTDIR }}/${{ matrix.python-version }}/${{ matrix.pytorch }}
+      - name: 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
-          path: ${{ env.INVOKEAI_OUTDIR }}
+          name: results_${{ matrix.requirements-file }}_${{ matrix.python-version }}
+          path: ${{ env.INVOKEAI_ROOT }}/outputs

.gitignore

@@ -1,6 +1,4 @@
 # ignore default image save location and model symbolic link
-.idea/
-embeddings/
 outputs/
 models/ldm/stable-diffusion-v1/model.ckpt
 **/restoration/codeformer/weights
@@ -8,7 +6,6 @@ models/ldm/stable-diffusion-v1/model.ckpt
 # ignore user models config
 configs/models.user.yaml
 config/models.user.yml
-invokeai.init
 
 # ignore the Anaconda/Miniconda installer used while building Docker image
 anaconda.sh
@@ -63,20 +60,16 @@ pip-delete-this-directory.txt
 htmlcov/
 .tox/
 .nox/
-.coveragerc
 .coverage
 .coverage.*
 .cache
 nosetests.xml
 coverage.xml
-cov.xml
 *.cover
 *.py,cover
 .hypothesis/
 .pytest_cache/
-.pytest.ini
 cover/
-junit/
 
 # Translations
 *.mo
@@ -200,7 +193,7 @@ checkpoints
 .DS_Store
 
 # Let the frontend manage its own gitignore
-!invokeai/frontend/web/*
+!frontend/*
 
 # Scratch folder
 .scratch/
@@ -215,6 +208,11 @@ gfpgan/
 # config file (will be created by installer)
 configs/models.yaml
 
+# weights (will be created by installer)
+models/ldm/stable-diffusion-v1/*.ckpt
+models/clipseg
+models/gfpgan
+
 # ignore initfile
 .invokeai
 
@@ -224,8 +222,15 @@ environment.yml
 requirements.txt
 
 # source installer files
-installer/*zip
-installer/install.bat
-installer/install.sh
-installer/update.bat
-installer/update.sh
+source_installer/*zip
+source_installer/invokeAI
+install.bat
+install.sh
+update.bat
+update.sh
+
+# this may be present if the user created a venv
+invokeai
+
+# no longer stored in source directory
+models

InvokeAI_Statement_of_Values.md

@@ -1,4 +1,4 @@
-<img src="docs/assets/invoke_ai_banner.png" align="center">
+<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
@@ -81,4 +81,5 @@ 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**, **keturn**, and **ebr** (Eugene Brodsky). 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.
+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

@@ -1,19 +1,23 @@
 <div align="center">
 
-![project logo](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/invoke_ai_banner.png)
-
 # InvokeAI: A Stable Diffusion Toolkit
 
+_Formerly known as lstein/stable-diffusion_
+
+![project logo](docs/assets/logo.png)
+
 [![discord badge]][discord link]
 
 [![latest release badge]][latest release link] [![github stars badge]][github stars link] [![github forks badge]][github forks link]
 
-[![CI checks on main badge]][CI checks on main link] [![latest commit to main badge]][latest commit to main link]
+[![CI checks on main badge]][CI checks on main link] [![CI checks on dev badge]][CI checks on dev link] [![latest commit to dev badge]][latest commit to dev link]
 
-[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link] [![translation status badge]][translation status link]
+[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link]
 
+[CI checks on dev badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/development?label=CI%20status%20on%20dev&cache=900&icon=github
+[CI checks on dev link]: https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Adevelopment
 [CI checks on main badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/main?label=CI%20status%20on%20main&cache=900&icon=github
-[CI checks on main link]:https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Amain
+[CI checks on main link]: https://github.com/invoke-ai/InvokeAI/actions/workflows/test-invoke-conda.yml
 [discord badge]: https://flat.badgen.net/discord/members/ZmtBAhwWhy?icon=discord
 [discord link]: https://discord.gg/ZmtBAhwWhy
 [github forks badge]: https://flat.badgen.net/github/forks/invoke-ai/InvokeAI?icon=github
@@ -24,246 +28,159 @@
 [github open prs link]: https://github.com/invoke-ai/InvokeAI/pulls?q=is%3Apr+is%3Aopen
 [github stars badge]: https://flat.badgen.net/github/stars/invoke-ai/InvokeAI?icon=github
 [github stars link]: https://github.com/invoke-ai/InvokeAI/stargazers
-[latest commit to main badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/main?icon=github&color=yellow&label=last%20dev%20commit&cache=900
-[latest commit to main link]: https://github.com/invoke-ai/InvokeAI/commits/main
+[latest commit to dev badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
+[latest commit to dev link]: https://github.com/invoke-ai/InvokeAI/commits/development
 [latest release badge]: https://flat.badgen.net/github/release/invoke-ai/InvokeAI/development?icon=github
 [latest release link]: https://github.com/invoke-ai/InvokeAI/releases
-[translation status badge]: https://hosted.weblate.org/widgets/invokeai/-/svg-badge.svg
-[translation status link]: https://hosted.weblate.org/engage/invokeai/
-
 </div>
 
-InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.
+This is a fork of
+[CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion),
+the open source text-to-image generator. It provides a streamlined
+process with various new features and options to aid the image
+generation process. It runs on Windows, Mac and Linux machines, with
+GPU cards with as little as 4 GB of RAM. It provides both a polished
+Web interface (see below), and an easy-to-use command-line interface.
 
-**Quick links**: [[How to Install](https://invoke-ai.github.io/InvokeAI/#installation)] [<a href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a href="https://invoke-ai.github.io/InvokeAI/">Documentation and Tutorials</a>] [<a href="https://github.com/invoke-ai/InvokeAI/">Code and Downloads</a>] [<a href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>] [<a href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion, Ideas & Q&A</a>]
+**Quick links**: [<a href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a href="https://invoke-ai.github.io/InvokeAI/">Documentation and Tutorials</a>] [<a href="https://github.com/invoke-ai/InvokeAI/">Code and Downloads</a>] [<a href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>] [<a href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion, Ideas & Q&A</a>]
 
-_Note: InvokeAI is rapidly evolving. Please use the
+<div align="center"><img src="docs/assets/invoke-web-server-1.png" width=640></div>
+
+
+_Note: This fork is rapidly evolving. Please use the
 [Issues](https://github.com/invoke-ai/InvokeAI/issues) tab to report bugs and make feature
-requests. Be sure to use the provided templates. They will help us diagnose issues faster._
-
-<div align="center">
-
-![canvas preview](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/canvas_preview.png)
-
-</div>
+requests. Be sure to use the provided templates. They will help aid diagnose issues faster._
 
 ## Table of Contents
 
-1. [Quick Start](#getting-started-with-invokeai)
-2. [Installation](#detailed-installation-instructions)
-3. [Hardware Requirements](#hardware-requirements)
-4. [Features](#features)
-5. [Latest Changes](#latest-changes)
-6. [Troubleshooting](#troubleshooting)
-7. [Contributing](#contributing)
-8. [Contributors](#contributors)
-9. [Support](#support)
-10. [Further Reading](#further-reading)
+1. [Installation](#installation)
+2. [Hardware Requirements](#hardware-requirements)
+3. [Features](#features)
+4. [Latest Changes](#latest-changes)
+5. [Troubleshooting](#troubleshooting)
+6. [Contributing](#contributing)
+7. [Contributors](#contributors)
+8. [Support](#support)
+9. [Further Reading](#further-reading)
 
-## Getting Started with InvokeAI
-
-For full installation and upgrade instructions, please see:
-[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
-
-### Automatic Installer (suggested for 1st time users)
-
-1. Go to the bottom of the [Latest Release Page](https://github.com/invoke-ai/InvokeAI/releases/latest)
-
-2. Download the .zip file for your OS (Windows/macOS/Linux).
-
-3. Unzip the file.
-
-4. If you are on Windows, double-click on the `install.bat` script. On
-macOS, open a Terminal window, drag the file `install.sh` from Finder
-into the Terminal, and press return. On Linux, run `install.sh`.
-
-5. You'll be asked to confirm the location of the folder in which
-to install InvokeAI and its image generation model files. Pick a
-location with at least 15 GB of free memory. More if you plan on
-installing lots of models.
-
-6. Wait while the installer does its thing. After installing the software,
-the installer will launch a script that lets you configure InvokeAI and
-select a set of starting image generaiton models.
-
-7. Find the folder that InvokeAI was installed into (it is not the
-same as the unpacked zip file directory!) The default location of this
-folder (if you didn't change it in step 5) is `~/invokeai` on
-Linux/Mac systems, and `C:\Users\YourName\invokeai` on Windows. This directory will contain launcher scripts named `invoke.sh` and `invoke.bat`.
-
-8. On Windows systems, double-click on the `invoke.bat` file. On
-macOS, open a Terminal window, drag `invoke.sh` from the folder into
-the Terminal, and press return. On Linux, run `invoke.sh`
-
-9. Press 2 to open the "browser-based UI", press enter/return, wait a
-minute or two for Stable Diffusion to start up, then open your browser
-and go to http://localhost:9090.
-
-10. Type `banana sushi` in the box on the top left and click `Invoke`
-
-### Command-Line Installation (for users familiar with Terminals)
-
-You must have Python 3.9 or 3.10 installed on your machine. Earlier or later versions are
-not supported.
-
-1. Open a command-line window on your machine. The PowerShell is recommended for Windows.
-2. Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:
-
-    ```terminal
-    mkdir invokeai
-    ````
-
-3. Create a virtual environment named `.venv` inside this directory and activate it:
-
-    ```terminal
-    cd invokeai
-    python -m venv .venv --prompt InvokeAI
-    ```
-
-4. Activate the virtual environment (do it every time you run InvokeAI)
-
-    _For Linux/Mac users:_
-
-    ```sh
-    source .venv/bin/activate
-    ```
-
-    _For Windows users:_
-
-    ```ps
-    .venv\Scripts\activate
-    ```
-
-5. Install the InvokeAI module and its dependencies. Choose the command suited for your platform & GPU.
-
-    _For Windows/Linux with an NVIDIA GPU:_
-
-    ```terminal
-    pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
-    ```
-
-    _For Linux with an AMD GPU:_
-
-    ```sh
-    pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.4.2
-    ```
-
-    _For Macintoshes, either Intel or M1/M2:_
-
-    ```sh
-    pip install InvokeAI --use-pep517
-    ```
-
-6. Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
-
-    ```terminal
-    invokeai-configure
-    ```
-
-7. Launch the web server (do it every time you run InvokeAI):
-
-    ```terminal
-    invokeai --web
-    ```
-
-8. Point your browser to http://localhost:9090 to bring up the web interface.
-9. Type `banana sushi` in the box on the top left and click `Invoke`.
-
-Be sure to activate the virtual environment each time before re-launching InvokeAI,
-using `source .venv/bin/activate` or `.venv\Scripts\activate`.
-
-### Detailed Installation Instructions
+### Installation
 
 This fork is supported across Linux, Windows and Macintosh. Linux
 users can use either an Nvidia-based card (with CUDA support) or an
 AMD card (using the ROCm driver). For full installation and upgrade
 instructions, please see:
-[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALL_SOURCE/)
+[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
 
-## Hardware Requirements
+### Hardware Requirements
 
-InvokeAI is supported across Linux, Windows and macOS. Linux
-users can use either an Nvidia-based card (with CUDA support) or an
-AMD card (using the ROCm driver).
+#### System
 
-### System
-
-You will need one of the following:
+You wil need one of the following:
 
 - An NVIDIA-based graphics card with 4 GB or more VRAM memory.
 - An Apple computer with an M1 chip.
-- An AMD-based graphics card with 4GB or more VRAM memory. (Linux only)
 
-We do not recommend the GTX 1650 or 1660 series video cards. They are
-unable to run in half-precision mode and do not have sufficient VRAM
-to render 512x512 images.
-
-### Memory
+#### Memory
 
 - At least 12 GB Main Memory RAM.
 
-### Disk
+#### Disk
 
 - At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.
 
-## Features
+**Note**
 
-Feature documentation can be reviewed by navigating to [the InvokeAI Documentation page](https://invoke-ai.github.io/InvokeAI/features/)
+If you have a Nvidia 10xx series card (e.g. the 1080ti), please
+run the dream script in full-precision mode as shown below.
 
-### *Web Server & UI*
+Similarly, specify full-precision mode on Apple M1 hardware.
 
-InvokeAI offers a locally hosted Web Server & React Frontend, with an industry leading user experience. The Web-based UI allows for simple and intuitive workflows, and is responsive for use on mobile devices and tablets accessing the web server.
+Precision is auto configured based on the device. If however you encounter
+errors like 'expected type Float but found Half' or 'not implemented for Half'
+you can try starting `invoke.py` with the `--precision=float32` flag:
 
-### *Unified Canvas*
+```bash
+(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32
+```
 
-The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.
+### Features
 
-### *Advanced Prompt Syntax*
+#### Major Features
 
-InvokeAI's advanced prompt syntax allows for token weighting, cross-attention control, and prompt blending, allowing for fine-tuned tweaking of your invocations and exploration of the latent space.
+- [Web Server](https://invoke-ai.github.io/InvokeAI/features/WEB/)
+- [Interactive Command Line Interface](https://invoke-ai.github.io/InvokeAI/features/CLI/)
+- [Image To Image](https://invoke-ai.github.io/InvokeAI/features/IMG2IMG/)
+- [Inpainting Support](https://invoke-ai.github.io/InvokeAI/features/INPAINTING/)
+- [Outpainting Support](https://invoke-ai.github.io/InvokeAI/features/OUTPAINTING/)
+- [Upscaling, face-restoration and outpainting](https://invoke-ai.github.io/InvokeAI/features/POSTPROCESS/)
+- [Reading Prompts From File](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#reading-prompts-from-a-file)
+- [Prompt Blending](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#prompt-blending)
+- [Thresholding and Perlin Noise Initialization Options](https://invoke-ai.github.io/InvokeAI/features/OTHER/#thresholding-and-perlin-noise-initialization-options)
+- [Negative/Unconditioned Prompts](https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#negative-and-unconditioned-prompts)
+- [Variations](https://invoke-ai.github.io/InvokeAI/features/VARIATIONS/)
+- [Personalizing Text-to-Image Generation](https://invoke-ai.github.io/InvokeAI/features/TEXTUAL_INVERSION/)
+- [Simplified API for text to image generation](https://invoke-ai.github.io/InvokeAI/features/OTHER/#simplified-api)
 
-### *Command Line Interface*
+#### Other Features
 
-For users utilizing a terminal-based environment, or who want to take advantage of CLI features, InvokeAI offers an extensive and actively supported command-line interface that provides the full suite of generation functionality available in the tool.
-
-### Other features
-
-- *Support for both ckpt and diffusers models*
-- *SD 2.0, 2.1 support*
-- *Noise Control & Tresholding*
-- *Popular Sampler Support*
-- *Upscaling & Face Restoration Tools*
-- *Embedding Manager & Support*
-- *Model Manager & Support*
-
-### Coming Soon
-
-- *Node-Based Architecture & UI*
-- And more...
+- [Google Colab](https://invoke-ai.github.io/InvokeAI/features/OTHER/#google-colab)
+- [Seamless Tiling](https://invoke-ai.github.io/InvokeAI/features/OTHER/#seamless-tiling)
+- [Shortcut: Reusing Seeds](https://invoke-ai.github.io/InvokeAI/features/OTHER/#shortcuts-reusing-seeds)
+- [Preload Models](https://invoke-ai.github.io/InvokeAI/features/OTHER/#preload-models)
 
 ### Latest Changes
 
-For our latest changes, view our [Release
-Notes](https://github.com/invoke-ai/InvokeAI/releases) and the
-[CHANGELOG](docs/CHANGELOG.md).
+- v2.0.1 (13 October 2022)
+  - fix noisy images at high step count when using k* samplers
+  - dream.py script now calls invoke.py module directly rather than
+    via a new python process (which could break the environment)
 
-## Troubleshooting
+- v2.0.0 (9 October 2022)
+
+  - `dream.py` script renamed `invoke.py`. A `dream.py` script wrapper remains
+    for backward compatibility.
+  - Completely new WebGUI - launch with `python3 scripts/invoke.py --web`
+  - Support for <a href="https://invoke-ai.github.io/InvokeAI/features/INPAINTING/">inpainting</a> and <a href="https://invoke-ai.github.io/InvokeAI/features/OUTPAINTING/">outpainting</a>
+  - img2img runs on all k* samplers
+  - Support for <a href="https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#negative-and-unconditioned-prompts">negative prompts</a>
+  - Support for CodeFormer face reconstruction
+  - Support for Textual Inversion on Macintoshes
+  - Support in both WebGUI and CLI for <a href="https://invoke-ai.github.io/InvokeAI/features/POSTPROCESS/">post-processing of previously-generated images</a>
+    using facial reconstruction, ESRGAN upscaling, outcropping (similar to DALL-E infinite canvas),
+    and "embiggen" upscaling. See the `!fix` command.
+  - New `--hires` option on `invoke>` line allows <a href="https://invoke-ai.github.io/InvokeAI/features/CLI/#txt2img">larger images to be created without duplicating elements</a>, at the cost of some performance.
+  - New `--perlin` and `--threshold` options allow you to add and control variation
+    during image generation (see <a href="https://github.com/invoke-ai/InvokeAI/blob/main/docs/features/OTHER.md#thresholding-and-perlin-noise-initialization-options">Thresholding and Perlin Noise Initialization</a>
+  - Extensive metadata now written into PNG files, allowing reliable regeneration of images
+    and tweaking of previous settings.
+  - Command-line completion in `invoke.py` now works on Windows, Linux and Mac platforms.
+  - Improved <a href="https://invoke-ai.github.io/InvokeAI/features/CLI/">command-line completion behavior</a>.
+    New commands added:
+    - List command-line history with `!history`
+    - Search command-line history with `!search`
+    - Clear history with `!clear`
+  - Deprecated `--full_precision` / `-F`. Simply omit it and `invoke.py` will auto
+    configure. To switch away from auto use the new flag like `--precision=float32`.
+
+For older changelogs, please visit the **[CHANGELOG](https://invoke-ai.github.io/InvokeAI/CHANGELOG#v114-11-september-2022)**.
+
+### Troubleshooting
 
 Please check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation
 problems and other issues.
 
-## Contributing
+# Contributing
 
 Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
-cleanup, testing, or code reviews, is very much encouraged to do so.
-
-To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.
-
-If you'd like to help with translation, please see our [translation guide](docs/other/TRANSLATION.md).
+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. 
 
 If you are unfamiliar with how
 to contribute to GitHub projects, here is a
-[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the "main" branch**.
+[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress, 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
@@ -277,11 +194,15 @@ This fork is a combined effort of various people from across the world.
 [Check out the list of all these amazing people](https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/). We thank them for
 their time, hard work and effort.
 
-Thanks to [Weblate](https://weblate.org/) for generously providing translation services to this project.
-
 ### Support
 
-For support, please use this repository's GitHub Issues tracking service, or join the Discord.
+For support, please use this repository's GitHub Issues tracking service. Feel free to send me an
+email if you use and like the script.
 
-Original portions of the software are Copyright (c) 2023 by respective contributors.
+Original portions of the software are Copyright (c) 2020
+[Lincoln D. Stein](https://github.com/lstein)
 
+### Further Reading
+
+Please see the original README for more information on this software and underlying algorithm,
+located in the file [README-CompViz.md](https://invoke-ai.github.io/InvokeAI/other/README-CompViz/).

Stable_Diffusion_v1_Model_Card.md

@@ -21,7 +21,7 @@ This model card focuses on the model associated with the Stable Diffusion model,
 
 # Uses
 
-## Direct Use
+## Direct Use 
 The model is intended for research purposes only. Possible research areas and
 tasks include
 
@@ -68,11 +68,11 @@ Using the model to generate content that is cruel to individuals is a misuse of
   considerations.
 
 ### Bias
-While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
-Stable Diffusion v1 was trained on subsets of [LAION-2B(en)](https://laion.ai/blog/laion-5b/),
-which consists of images that are primarily limited to English descriptions.
-Texts and images from communities and cultures that use other languages are likely to be insufficiently accounted for.
-This affects the overall output of the model, as white and western cultures are often set as the default. Further, the
+While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases. 
+Stable Diffusion v1 was trained on subsets of [LAION-2B(en)](https://laion.ai/blog/laion-5b/), 
+which consists of images that are primarily limited to English descriptions. 
+Texts and images from communities and cultures that use other languages are likely to be insufficiently accounted for. 
+This affects the overall output of the model, as white and western cultures are often set as the default. Further, the 
 ability of the model to generate content with non-English prompts is significantly worse than with English-language prompts.
 
 
@@ -84,7 +84,7 @@ The model developers used the following dataset for training the model:
 - LAION-2B (en) and subsets thereof (see next section)
 
 **Training Procedure**
-Stable Diffusion v1 is a latent diffusion model which combines an autoencoder with a diffusion model that is trained in the latent space of the autoencoder. During training,
+Stable Diffusion v1 is a latent diffusion model which combines an autoencoder with a diffusion model that is trained in the latent space of the autoencoder. During training, 
 
 - Images are encoded through an encoder, which turns images into latent representations. The autoencoder uses a relative downsampling factor of 8 and maps images of shape H x W x 3 to latents of shape H/f x W/f x 4
 - Text prompts are encoded through a ViT-L/14 text-encoder.
@@ -108,12 +108,12 @@ filtered to images with an original size `>= 512x512`, estimated aesthetics scor
 - **Batch:** 32 x 8 x 2 x 4 = 2048
 - **Learning rate:** warmup to 0.0001 for 10,000 steps and then kept constant
 
-## Evaluation Results
+## Evaluation Results 
 Evaluations with different classifier-free guidance scales (1.5, 2.0, 3.0, 4.0,
 5.0, 6.0, 7.0, 8.0) and 50 PLMS sampling
 steps show the relative improvements of the checkpoints:
 
-![pareto](assets/v1-variants-scores.jpg)
+![pareto](assets/v1-variants-scores.jpg) 
 
 Evaluated using 50 PLMS steps and 10000 random prompts from the COCO2017 validation set, evaluated at 512x512 resolution.  Not optimized for FID scores.
 ## Environmental Impact

backend/modules/create_cmd_parser.py

@@ -1,7 +1,6 @@
 import argparse
 import os
-
-from ...args import PRECISION_CHOICES
+from ldm.invoke.args import PRECISION_CHOICES
 
 
 def create_cmd_parser():
@@ -47,10 +46,10 @@ def create_cmd_parser():
         default="auto",
     )
     parser.add_argument(
-        "--free_gpu_mem",
-        dest="free_gpu_mem",
-        action="store_true",
-        help="Force free gpu memory before final decoding",
+        '--free_gpu_mem',
+        dest='free_gpu_mem',
+        action='store_true',
+        help='Force free gpu memory before final decoding',
     )
 
     return parser

backend/modules/get_canvas_generation_mode.py

@@ -1,8 +1,6 @@
-from typing import Literal, Union
-
 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:
@@ -45,7 +43,7 @@ def get_canvas_generation_mode(
         )
 
     """
-    Mask images are white in areas where no change should be made, black where changes
+    Mask images are white in areas where no change should be made, black where changes 
     should be made.
     """
 
@@ -87,7 +85,9 @@ def main():
 
     print(
         "IMAGE WITH TRANSPARENCY, NO MASK, expect outpainting, got ",
-        get_canvas_generation_mode(init_img_partial_transparency, init_mask_no_mask),
+        get_canvas_generation_mode(
+            init_img_partial_transparency, init_mask_no_mask
+        ),
     )
 
     print(
@@ -102,7 +102,9 @@ def main():
 
     print(
         "IMAGE WITH TRANSPARENCY, WITH MASK, expect outpainting, got ",
-        get_canvas_generation_mode(init_img_partial_transparency, init_mask_has_mask),
+        get_canvas_generation_mode(
+            init_img_partial_transparency, init_mask_has_mask
+        ),
     )
 
     print(

backend/modules/parameters.py

@@ -1,7 +1,6 @@
+from backend.modules.parse_seed_weights import parse_seed_weights
 import argparse
 
-from .parse_seed_weights import parse_seed_weights
-
 SAMPLER_CHOICES = [
     "ddim",
     "k_dpm_2_a",
@@ -13,8 +12,6 @@ SAMPLER_CHOICES = [
     "k_heun",
     "k_lms",
     "plms",
-    # diffusers:
-    "pndm",
 ]
 
 

binary_installer/create_installers.sh

@@ -0,0 +1,30 @@
+#!/usr/bin/env bash
+
+set -euo pipefail
+IFS=$'\n\t'
+
+echo "Be certain that you're in the 'installer' directory before continuing."
+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.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
+
+# make the installer zip for windows
+rm -rf InvokeAI
+mkdir -p InvokeAI
+cp install.bat.in InvokeAI/install.bat
+cp readme.txt InvokeAI
+cp WinLongPathsEnabled.reg InvokeAI
+
+zip -r InvokeAI-windows.zip InvokeAI
+
+rm -rf InvokeAI
+
+echo "The installer zips are ready for distribution."

binary_installer/install.bat.in

@@ -10,21 +10,21 @@
 
 @rem This enables a user to install this project without manually installing git or Python
 
-@rem change to the script's directory
-PUSHD "%~dp0"
-
 set "no_cache_dir=--no-cache-dir"
 if "%1" == "use-cache" (
     set "no_cache_dir="
 )
 
 echo ***** Installing InvokeAI.. *****
+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
 set MICROMAMBA_DOWNLOAD_URL=https://github.com/cmdr2/stable-diffusion-ui/releases/download/v1.1/micromamba.exe
 set RELEASE_URL=https://github.com/invoke-ai/InvokeAI
-set RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
+#set RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
+# RELEASE_SOURCEBALL=/archive/refs/heads/test-installer.tar.gz
+RELEASE_SOURCEBALL=/archive/refs/heads/development.tar.gz
 set PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
 set PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-x86_64-pc-windows-msvc-shared-install_only.tar.gz
 
@@ -147,7 +147,7 @@ echo ***** Installed invoke launcher script ******
 rd /s /q binary_installer installer_files
 
 @rem preload the models
-call .venv\Scripts\python ldm\invoke\config\invokeai_configure.py
+call .venv\Scripts\python scripts\configure_invokeai.py
 set err_msg=----- model download clone failed -----
 if %errorlevel% neq 0 goto err_exit
 deactivate

binary_installer/install.sh.in

@@ -214,7 +214,7 @@ _err_exit $? _err_msg
 echo -e "\n***** Installed InvokeAI *****\n"
 
 cp binary_installer/invoke.sh.in ./invoke.sh
-chmod a+rx ./invoke.sh
+chmod a+x ./invoke.sh
 echo -e "\n***** Installed invoke launcher script ******\n"
 
 # more cleanup
@@ -229,7 +229,7 @@ deactivate
 echo -e "\n***** Finished downloading models *****\n"
 
 echo "All done! Run the command"
-echo "  $scriptdir/invoke.sh"
+echo "  \"$scriptdir/invoke.sh\""
 echo "to start InvokeAI."
 read -p "Press any key to exit..."
 exit

binary_installer/invoke.bat.in

@@ -1,6 +1,5 @@
 @echo off
 
-PUSHD "%~dp0"
 call .venv\Scripts\activate.bat
 
 echo Do you want to generate images using the
@@ -11,10 +10,10 @@ 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 %*
+    .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 %*
+    .venv\Scripts\python scripts\invoke.py --web
 ) else if /i "%choice%" == "3" (
     echo Developer Console
     echo Python command is:

binary_installer/invoke.sh.in

@@ -4,11 +4,6 @@ set -eu
 
 . .venv/bin/activate
 
-# set required env var for torch on mac MPS
- if [ "$(uname -s)" == "Darwin" ]; then
-     export PYTORCH_ENABLE_MPS_FALLBACK=1
- fi
-
 echo "Do you want to generate images using the"
 echo "1. command-line"
 echo "2. browser-based UI"
@@ -20,11 +15,11 @@ read choice
 case $choice in
     1)
         printf "\nStarting the InvokeAI command-line..\n";
-        .venv/bin/python scripts/invoke.py $*;
+        .venv/bin/python scripts/invoke.py;
     ;;
     2)
         printf "\nStarting the InvokeAI browser-based UI..\n";
-        .venv/bin/python scripts/invoke.py --web $*;
+        .venv/bin/python scripts/invoke.py --web;
     ;;
     3)
         printf "\nDeveloper Console:\n";

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

@@ -4,7 +4,7 @@
 #
 #    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 \
@@ -987,6 +987,7 @@ numpy==1.23.4 \
     #   pandas
     #   pyarrow
     #   pydeck
+    #   pypatchmatch
     #   pytorch-lightning
     #   pywavelets
     #   qudida
@@ -1159,6 +1160,7 @@ pillow==9.3.0 \
     #   imageio
     #   k-diffusion
     #   matplotlib
+    #   pypatchmatch
     #   realesrgan
     #   scikit-image
     #   streamlit
@@ -1294,6 +1296,9 @@ 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
@@ -1826,27 +1831,27 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.12.0 ; platform_system == "Darwin" \
-    --hash=sha256:0399746f83b4541bcb5b219a18dbe8cade760aba1c660d2748a38c6dc338ebc7 \
-    --hash=sha256:0986685f2ec8b7c4d3593e8cfe96be85d462943f1a8f54112fc48d4d9fbbe903 \
-    --hash=sha256:13c7cca6b2ea3704d775444f02af53c5f072d145247e17b8cd7813ac57869f03 \
-    --hash=sha256:201abf43a99bb4980cc827dd4b38ac28f35e4dddac7832718be3d5479cafd2c1 \
-    --hash=sha256:2143d5fe192fd908b70b494349de5b1ac02854a8a902bd5f47d13d85b410e430 \
-    --hash=sha256:2568f011dddeb5990d8698cc375d237f14568ffa8489854e3b94113b4b6b7c8b \
-    --hash=sha256:3322d33a06e440d715bb214334bd41314c94632d9a2f07d22006bf21da3a2be4 \
-    --hash=sha256:349ea3ba0c0e789e0507876c023181f13b35307aebc2e771efd0e045b8e03e84 \
-    --hash=sha256:44a3804e9bb189574f5d02ccc2dc6e32e26a81b3e095463b7067b786048c6072 \
-    --hash=sha256:5ed69d5af232c5c3287d44cef998880dadcc9721cd020e9ae02f42e56b79c2e4 \
-    --hash=sha256:60d06ee2abfa85f10582d205404d52889d69bcbb71f7e211cfc37e3957ac19ca \
-    --hash=sha256:63341f96840a223f277e498d2737b39da30d9f57c7a1ef88857b920096317739 \
-    --hash=sha256:72207b8733523388c49d43ffcc4416d1d8cd64c40f7826332e714605ace9b1d2 \
-    --hash=sha256:7ddb167827170c4e3ff6a27157414a00b9fef93dea175da04caf92a0619b7aee \
-    --hash=sha256:844f1db41173b53fe40c44b3e04fcca23a6ce00ac328b7099f2800e611766845 \
-    --hash=sha256:a1325c9c28823af497cbf443369bddac9ac59f67f1e600f8ab9b754958e55b76 \
-    --hash=sha256:abbdc5483359b9495dc76e3bd7911ccd2ddc57706c117f8316832e31590af871 \
-    --hash=sha256:c0313438bc36448ffd209f5fb4e5f325b3af158cdf61c8829b8ddaf128c57816 \
-    --hash=sha256:e3e8348edca3e3cee5a67a2b452b85c57712efe1cc3ffdb87c128b3dde54534e \
-    --hash=sha256:fb47291596677570246d723ee6abbcbac07eeba89d8f83de31e3954f21f44879
+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
@@ -1877,26 +1882,26 @@ torchmetrics==0.10.2 \
     --hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
     --hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
     # via pytorch-lightning
-torchvision==0.13.0 ; platform_system == "Darwin" \
-    --hash=sha256:01e9e7b2e7724e66561e8d98f900985d80191e977c5c0b3f33ed31800ba0210c \
-    --hash=sha256:0e28740bd5695076f7c449af650fc474d6566722d446461c2ceebf9c9599b37f \
-    --hash=sha256:1b703701f0b99f307ad925b1abda2b3d5bdbf30643ff02102b6aeeb8840ae278 \
-    --hash=sha256:1e2049f1207631d42d743205f663f1d2235796565be3f18b0339d479626faf30 \
-    --hash=sha256:253eb0c67bf88cef4a79ec69058c3e94f9fde28b9e3699ad1afc0b3ed50f8075 \
-    --hash=sha256:42d95ab197d090efc5669fec02fbc603d05c859e50ca2c60180d1a113aa9b3e2 \
-    --hash=sha256:5c31e9b3004142dbfdf32adc4cf2d4fd709b820833e9786f839ae3a91ff65ef0 \
-    --hash=sha256:61d5093a50b7923a4e5bf9e0271001c29e01abec2348b7dd93370a0a9d15836c \
-    --hash=sha256:667cac55afb13cda7d362466e7eba3119e529b210e55507d231bead09aca5e1f \
-    --hash=sha256:6c4c35428c758adc485ff8f239b5ed68c1b6c26efa261a52e431cab0f7f22aec \
-    --hash=sha256:83a4d9d50787d1e886c94486b63b15978391f6cf1892fce6a93132c09b14e128 \
-    --hash=sha256:a20662c11dc14fd4eff102ceb946a7ee80b9f98303bb52435cc903f2c4c1fe10 \
-    --hash=sha256:acb72a40e5dc0cd454d28514dbdd589a5057afd9bb5c785b87a54718b999bfa1 \
-    --hash=sha256:ad458146aca15f652f9b0c227bebd5403602c7341f15f68f20ec119fa8e8f4a5 \
-    --hash=sha256:ada295dbfe55017b02acfab960a997387f5addbadd28ee5e575e24f692992ce4 \
-    --hash=sha256:b620a43df4131ad09f5761c415a016a9ea95aaf8ec8c91d030fb59bad591094a \
-    --hash=sha256:b7a2c9aebc7ef265777fe7e82577364288d98cf6b8cf0a63bb2621df78a7af1a \
-    --hash=sha256:c2278a189663087bb8e65915062aa7a25b8f8e5a3cfaa5879fe277e23e4bbf40 \
-    --hash=sha256:df16abf31e7a5fce8db1f781bf1e4f20c8bc730c7c3f657e946cc5820c04e465
+torchvision==0.13.1 ; platform_system == "Darwin" \
+    --hash=sha256:0298bae3b09ac361866088434008d82b99d6458fe8888c8df90720ef4b347d44 \
+    --hash=sha256:08f592ea61836ebeceb5c97f4d7a813b9d7dc651bbf7ce4401563ccfae6a21fc \
+    --hash=sha256:099874088df104d54d8008f2a28539ca0117b512daed8bf3c2bbfa2b7ccb187a \
+    --hash=sha256:0e77706cc90462653620e336bb90daf03d7bf1b88c3a9a3037df8d111823a56e \
+    --hash=sha256:19286a733c69dcbd417b86793df807bd227db5786ed787c17297741a9b0d0fc7 \
+    --hash=sha256:3567fb3def829229ec217c1e38f08c5128ff7fb65854cac17ebac358ff7aa309 \
+    --hash=sha256:4d8bf321c4380854ef04613935fdd415dce29d1088a7ff99e06e113f0efe9203 \
+    --hash=sha256:5e631241bee3661de64f83616656224af2e3512eb2580da7c08e08b8c965a8ac \
+    --hash=sha256:7552e80fa222252b8b217a951c85e172a710ea4cad0ae0c06fbb67addece7871 \
+    --hash=sha256:7cb789ceefe6dcd0dc8eeda37bfc45efb7cf34770eac9533861d51ca508eb5b3 \
+    --hash=sha256:83e9e2457f23110fd53b0177e1bc621518d6ea2108f570e853b768ce36b7c679 \
+    --hash=sha256:87c137f343197769a51333076e66bfcd576301d2cd8614b06657187c71b06c4f \
+    --hash=sha256:899eec0b9f3b99b96d6f85b9aa58c002db41c672437677b553015b9135b3be7e \
+    --hash=sha256:8e4d02e4d8a203e0c09c10dfb478214c224d080d31efc0dbf36d9c4051f7f3c6 \
+    --hash=sha256:b167934a5943242da7b1e59318f911d2d253feeca0d13ad5d832b58eed943401 \
+    --hash=sha256:c5ed609c8bc88c575226400b2232e0309094477c82af38952e0373edef0003fd \
+    --hash=sha256:e9a563894f9fa40692e24d1aa58c3ef040450017cfed3598ff9637f404f3fe3b \
+    --hash=sha256:ef5fe3ec1848123cd0ec74c07658192b3147dcd38e507308c790d5943e87b88c \
+    --hash=sha256:f230a1a40ed70d51e463ce43df243ec520902f8725de2502e485efc5eea9d864
     # via
     #   -r installer/requirements.in
     #   basicsr

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

@@ -1,10 +1,9 @@
 #
-# This file is autogenerated by pip-compile with Python 3.9
-# by the following command:
+# This file is autogenerated by pip-compile with python 3.9
+# To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=binary_installer/py3.10-linux-x86_64-cuda-reqs.txt binary_installer/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/torch_stable.html
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
 
@@ -18,7 +17,7 @@ accelerate==0.14.0 \
     --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
     --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
     # via
-    #   -r binary_installer/requirements.in
+    #   -r installer/requirements.in
     #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
@@ -120,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -151,10 +150,6 @@ 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
@@ -188,11 +183,11 @@ click==8.1.3 \
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
     # via
-    #   -r binary_installer/requirements.in
+    #   -r installer/requirements.in
     #   clipseg
 clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
     --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 commonmark==0.9.1 \
     --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
     --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
@@ -279,7 +274,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -299,7 +294,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -325,15 +320,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -417,11 +412,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r binary_installer/requirements.in
-gfpgan @ https://github.com/invoke-ai/GFPGAN/archive/c796277a1cf77954e5fc0b288d7062d162894248.zip ; platform_system == "Linux" or platform_system == "Darwin" \
-    --hash=sha256:4155907b8b7db3686324554df7007eedd245cdf8656c21da9d9a3f44bef2fcaa
+    # via -r installer/requirements.in
+gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
+    --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r binary_installer/requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -582,7 +577,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -615,9 +610,9 @@ jsonschema==4.17.0 \
     # via
     #   altair
     #   jsonmerge
-k-diffusion @ https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip \
-    --hash=sha256:8eac5cdc08736e6d61908a1b2948f2b2f62691b01dc1aab978bddb3451af0d66
-    # via -r binary_installer/requirements.in
+k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
+    --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -1010,7 +1005,6 @@ numpy==1.23.4 \
     #   tifffile
     #   torch-fidelity
     #   torchmetrics
-    #   torchsde
     #   torchvision
     #   transformers
 oauthlib==3.2.2 \
@@ -1097,7 +1091,7 @@ pathtools==0.1.2 \
 picklescan==0.0.5 \
     --hash=sha256:368cf1b9a075bc1b6460ad82b694f260532b836c82f99d13846cd36e1bbe7f9a \
     --hash=sha256:57153eca04d5df5009f2cdd595aef261b8a6f27e03046a1c84f672aa6869c592
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 pillow==9.3.0 \
     --hash=sha256:03150abd92771742d4a8cd6f2fa6246d847dcd2e332a18d0c15cc75bf6703040 \
     --hash=sha256:073adb2ae23431d3b9bcbcff3fe698b62ed47211d0716b067385538a1b0f28b8 \
@@ -1306,11 +1300,11 @@ pyparsing==3.0.9 \
     #   packaging
 pypatchmatch @ https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip \
     --hash=sha256:4ad6ec95379e7d122d494ff76633cc7cf9b71330d5efda147fceba81e3dc6cd2
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1447,7 +1441,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1662,7 +1656,6 @@ scipy==1.9.3 \
     #   scikit-learn
     #   torch-fidelity
     #   torchdiffeq
-    #   torchsde
 semver==2.13.0 \
     --hash=sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4 \
     --hash=sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f
@@ -1670,7 +1663,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1761,11 +1754,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1790,7 +1783,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1850,7 +1843,7 @@ torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows"
     --hash=sha256:aa43d7b54b86f723f17c5c44df1078c59a6149fc4d42fbef08aafab9d61451c9 \
     --hash=sha256:f772be831447dd01ebd26cbedf619e668d1b269d69bf6b4ff46b1378362bff26
     # via
-    #   -r binary_installer/requirements.in
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1866,12 +1859,11 @@ torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows"
     #   torch-fidelity
     #   torchdiffeq
     #   torchmetrics
-    #   torchsde
     #   torchvision
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r binary_installer/requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1880,10 +1872,6 @@ torchmetrics==0.10.2 \
     --hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
     --hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
     # via pytorch-lightning
-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 \
@@ -1894,7 +1882,7 @@ torchvision==0.13.0+cu116 ; platform_system == "Linux" or platform_system == "Wi
     --hash=sha256:cb6bf0117b8f4b601baeae54e8a6bb5c4942b054835ba997f438ddcb7adcfb90 \
     --hash=sha256:d1a3c124645e3460b3e50b54eb89a2575a5036bfa618f15dc4f5d635c716069d
     # via
-    #   -r binary_installer/requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1933,13 +1921,10 @@ 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 binary_installer/requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e

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

@@ -4,7 +4,6 @@
 #
 #    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
 
@@ -151,10 +150,6 @@ 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
@@ -619,8 +614,8 @@ jsonschema==4.17.0 \
     # via
     #   altair
     #   jsonmerge
-k-diffusion @ https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip \
-    --hash=sha256:8eac5cdc08736e6d61908a1b2948f2b2f62691b01dc1aab978bddb3451af0d66
+k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
+    --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
     # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
@@ -1014,7 +1009,6 @@ numpy==1.23.4 \
     #   tifffile
     #   torch-fidelity
     #   torchmetrics
-    #   torchsde
     #   torchvision
     #   transformers
 oauthlib==3.2.2 \
@@ -1666,7 +1660,6 @@ scipy==1.9.3 \
     #   scikit-learn
     #   torch-fidelity
     #   torchdiffeq
-    #   torchsde
 semver==2.13.0 \
     --hash=sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4 \
     --hash=sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f
@@ -1870,7 +1863,6 @@ torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows"
     #   torch-fidelity
     #   torchdiffeq
     #   torchmetrics
-    #   torchsde
     #   torchvision
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
@@ -1884,10 +1876,6 @@ torchmetrics==0.10.2 \
     --hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
     --hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
     # via pytorch-lightning
-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 \
@@ -1937,9 +1925,6 @@ 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

binary_installer/requirements.in

@@ -1,15 +1,13 @@
 --prefer-binary
 --extra-index-url https://download.pytorch.org/whl/torch_stable.html
---extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https://download.pytorch.org
-accelerate~=0.15
+accelerate~=0.14
 albumentations
-diffusers[torch]~=0.11
-einops
+diffusers
 eventlet
 flask_cors
 flask_socketio
-flaskwebgui==1.0.3
+flaskwebgui
 getpass_asterisk
 imageio-ffmpeg
 pyreadline3
@@ -27,7 +25,6 @@ transformers
 picklescan
 https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip
 https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip
-https://github.com/invoke-ai/GFPGAN/archive/3f5d2397361199bc4a91c08bb7d80f04d7805615.zip ; platform_system=='Windows'
-https://github.com/invoke-ai/GFPGAN/archive/c796277a1cf77954e5fc0b288d7062d162894248.zip ; platform_system=='Linux' or platform_system=='Darwin'
-https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip
+https://github.com/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

@@ -5,25 +5,6 @@
 # model requires a model config file, a weights file,
 # and the width and height of the images it
 # was trained on.
-diffusers-1.4:
-  description: 🤗🧨 Stable Diffusion v1.4
-  format: diffusers
-  repo_id: CompVis/stable-diffusion-v1-4
-diffusers-1.5:
-  description: 🤗🧨 Stable Diffusion v1.5
-  format: diffusers
-  repo_id: runwayml/stable-diffusion-v1-5
-  default: true
-diffusers-1.5+mse:
-  description: 🤗🧨 Stable Diffusion v1.5 + MSE-finetuned VAE
-  format: diffusers
-  repo_id: runwayml/stable-diffusion-v1-5
-  vae:
-    repo_id: stabilityai/sd-vae-ft-mse
-diffusers-inpainting-1.5:
-  description: 🤗🧨 inpainting for Stable Diffusion v1.5
-  format: diffusers
-  repo_id: runwayml/stable-diffusion-inpainting
 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
@@ -31,6 +12,7 @@ stable-diffusion-1.5:
   width: 512
   height: 512
   vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
+  default: true
 stable-diffusion-1.4:
   description: Stable Diffusion inference model version 1.4
   config: configs/stable-diffusion/v1-inference.yaml
@@ -43,5 +25,3 @@ inpainting-1.5:
   config: configs/stable-diffusion/v1-inpainting-inference.yaml
   vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
   description: RunwayML SD 1.5 model optimized for inpainting
-  width: 512
-  height: 512

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-finetune.yaml

@@ -1,6 +1,6 @@
 model:
   base_learning_rate: 5.0e-03
-  target: invokeai.backend.stable_diffusion.diffusion.ddpm.LatentDiffusion
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
   params:
     linear_start: 0.00085
     linear_end: 0.0120
@@ -19,7 +19,7 @@ model:
     embedding_reg_weight: 0.0
 
     personalization_config:
-      target: invokeai.backend.stable_diffusion.embedding_manager.EmbeddingManager
+      target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
         initializer_words: ["sculpture"]
@@ -28,7 +28,7 @@ model:
         progressive_words: False
 
     unet_config:
-      target: invokeai.backend.stable_diffusion.diffusionmodules.openaimodel.UNetModel
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
       params:
         image_size: 32 # unused
         in_channels: 4
@@ -45,7 +45,7 @@ model:
         legacy: False
 
     first_stage_config:
-      target: invokeai.backend.stable_diffusion.autoencoder.AutoencoderKL
+      target: ldm.models.autoencoder.AutoencoderKL
       params:
         embed_dim: 4
         monitor: val/rec_loss
@@ -68,7 +68,7 @@ model:
           target: torch.nn.Identity
 
     cond_stage_config:
-      target: invokeai.backend.stable_diffusion.encoders.modules.FrozenCLIPEmbedder
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
 
 data:
   target: main.DataModuleFromConfig
@@ -77,14 +77,14 @@ data:
     num_workers: 2
     wrap: false
     train:
-      target: invokeai.backend.stable_diffusion.data.personalized.PersonalizedBase
+      target: ldm.data.personalized.PersonalizedBase
       params:
         size: 512
         set: train
         per_image_tokens: false
         repeats: 100
     validation:
-      target: invokeai.backend.stable_diffusion.data.personalized.PersonalizedBase
+      target: ldm.data.personalized.PersonalizedBase
       params:
         size: 512
         set: val
@@ -107,4 +107,4 @@ lightning:
     benchmark: True
     max_steps: 4000000
 #    max_steps: 4000
-
+    

configs/stable-diffusion/v1-finetune_style.yaml

@@ -1,6 +1,6 @@
 model:
   base_learning_rate: 5.0e-03
-  target: invokeai.backend.models.diffusion.ddpm.LatentDiffusion
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
   params:
     linear_start: 0.00085
     linear_end: 0.0120
@@ -19,7 +19,7 @@ model:
     embedding_reg_weight: 0.0
 
     personalization_config:
-      target: invokeai.backend.stable_diffusion.embedding_manager.EmbeddingManager
+      target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
         initializer_words: ["painting"]
@@ -27,7 +27,7 @@ model:
         num_vectors_per_token: 1
 
     unet_config:
-      target: invokeai.backend.stable_diffusion.diffusionmodules.openaimodel.UNetModel
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
       params:
         image_size: 32 # unused
         in_channels: 4
@@ -44,7 +44,7 @@ model:
         legacy: False
 
     first_stage_config:
-      target: invokeai.backend.stable_diffusion.autoencoder.AutoencoderKL
+      target: ldm.models.autoencoder.AutoencoderKL
       params:
         embed_dim: 4
         monitor: val/rec_loss
@@ -67,7 +67,7 @@ model:
           target: torch.nn.Identity
 
     cond_stage_config:
-      target: invokeai.backend.stable_diffusion.encoders.modules.FrozenCLIPEmbedder
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
 
 data:
   target: main.DataModuleFromConfig
@@ -76,14 +76,14 @@ data:
     num_workers: 16
     wrap: false
     train:
-      target: invokeai.backend.stable_diffusion.data.personalized_style.PersonalizedBase
+      target: ldm.data.personalized_style.PersonalizedBase
       params:
         size: 512
         set: train
         per_image_tokens: false
         repeats: 100
     validation:
-      target: invokeai.backend.stable_diffusion.data.personalized_style.PersonalizedBase
+      target: ldm.data.personalized_style.PersonalizedBase
       params:
         size: 512
         set: val

configs/stable-diffusion/v1-inference.yaml

@@ -1,6 +1,6 @@
 model:
   base_learning_rate: 1.0e-04
-  target: invokeai.backend.models.diffusion.ddpm.LatentDiffusion
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
   params:
     linear_start: 0.00085
     linear_end: 0.0120
@@ -18,7 +18,7 @@ model:
     use_ema: False
 
     scheduler_config: # 10000 warmup steps
-      target: invokeai.backend.stable_diffusion.lr_scheduler.LambdaLinearScheduler
+      target: ldm.lr_scheduler.LambdaLinearScheduler
       params:
         warm_up_steps: [ 10000 ]
         cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
@@ -27,16 +27,16 @@ model:
         f_min: [ 1. ]
 
     personalization_config:
-      target: invokeai.backend.stable_diffusion.embedding_manager.EmbeddingManager
+      target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
         initializer_words: ['sculpture']
         per_image_tokens: false
-        num_vectors_per_token: 1
+        num_vectors_per_token: 8
         progressive_words: False
 
     unet_config:
-      target: invokeai.backend.stable_diffusion.diffusionmodules.openaimodel.UNetModel
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
       params:
         image_size: 32 # unused
         in_channels: 4
@@ -53,7 +53,7 @@ model:
         legacy: False
 
     first_stage_config:
-      target: invokeai.backend.stable_diffusion.autoencoder.AutoencoderKL
+      target: ldm.models.autoencoder.AutoencoderKL
       params:
         embed_dim: 4
         monitor: val/rec_loss
@@ -76,4 +76,4 @@ model:
           target: torch.nn.Identity
 
     cond_stage_config:
-      target: invokeai.backend.stable_diffusion.encoders.modules.WeightedFrozenCLIPEmbedder
+      target: ldm.modules.encoders.modules.WeightedFrozenCLIPEmbedder

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

@@ -1,6 +1,6 @@
 model:
   base_learning_rate: 7.5e-05
-  target: invokeai.backend.models.diffusion.ddpm.LatentInpaintDiffusion
+  target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion
   params:
     linear_start: 0.00085
     linear_end: 0.0120
@@ -18,7 +18,7 @@ model:
     finetune_keys: null
 
     scheduler_config: # 10000 warmup steps
-      target: invokeai.backend.stable_diffusion.lr_scheduler.LambdaLinearScheduler
+      target: ldm.lr_scheduler.LambdaLinearScheduler
       params:
         warm_up_steps: [ 2500 ] # NOTE for resuming. use 10000 if starting from scratch
         cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
@@ -27,7 +27,7 @@ model:
         f_min: [ 1. ]
 
     personalization_config:
-      target: invokeai.backend.stable_diffusion.embedding_manager.EmbeddingManager
+      target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
         initializer_words: ['sculpture']
@@ -36,7 +36,7 @@ model:
         progressive_words: False
 
     unet_config:
-      target: invokeai.backend.stable_diffusion.diffusionmodules.openaimodel.UNetModel
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
       params:
         image_size: 32 # unused
         in_channels: 9  # 4 data + 4 downscaled image + 1 mask
@@ -53,7 +53,7 @@ model:
         legacy: False
 
     first_stage_config:
-      target: invokeai.backend.stable_diffusion.autoencoder.AutoencoderKL
+      target: ldm.models.autoencoder.AutoencoderKL
       params:
         embed_dim: 4
         monitor: val/rec_loss
@@ -76,4 +76,4 @@ model:
           target: torch.nn.Identity
 
     cond_stage_config:
-      target: invokeai.backend.stable_diffusion.encoders.modules.WeightedFrozenCLIPEmbedder
+      target: ldm.modules.encoders.modules.WeightedFrozenCLIPEmbedder

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

@@ -1,6 +1,6 @@
 model:
   base_learning_rate: 5.0e-03
-  target: invokeai.backend.models.diffusion.ddpm.LatentDiffusion
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
   params:
     linear_start: 0.00085
     linear_end: 0.0120
@@ -19,7 +19,7 @@ model:
     embedding_reg_weight: 0.0
 
     personalization_config:
-      target: invokeai.backend.stable_diffusion.embedding_manager.EmbeddingManager
+      target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
         initializer_words: ['sculpture']
@@ -28,7 +28,7 @@ model:
         progressive_words: False
 
     unet_config:
-      target: invokeai.backend.stable_diffusion.diffusionmodules.openaimodel.UNetModel
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
       params:
         image_size: 32 # unused
         in_channels: 4
@@ -45,7 +45,7 @@ model:
         legacy: False
 
     first_stage_config:
-      target: invokeai.backend.stable_diffusion.autoencoder.AutoencoderKL
+      target: ldm.models.autoencoder.AutoencoderKL
       params:
         embed_dim: 4
         monitor: val/rec_loss
@@ -68,7 +68,7 @@ model:
           target: torch.nn.Identity
 
     cond_stage_config:
-      target: invokeai.backend.stable_diffusion.encoders.modules.FrozenCLIPEmbedder
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
 
 data:
   target: main.DataModuleFromConfig
@@ -77,14 +77,14 @@ data:
     num_workers: 2
     wrap: false
     train:
-      target: invokeai.backend.stable_diffusion.data.personalized.PersonalizedBase
+      target: ldm.data.personalized.PersonalizedBase
       params:
         size: 512
         set: train
         per_image_tokens: false
         repeats: 100
     validation:
-      target: invokeai.backend.stable_diffusion.data.personalized.PersonalizedBase
+      target: ldm.data.personalized.PersonalizedBase
       params:
         size: 512
         set: val
@@ -107,4 +107,4 @@ lightning:
     benchmark: False
     max_steps: 6200
 #    max_steps: 4000
-
+    

coverage/.gitignore

@@ -1,4 +0,0 @@
-# Ignore everything in this directory
-*
-# Except this file
-!.gitignore

docker-build/Dockerfile

@@ -0,0 +1,34 @@
+FROM ubuntu:22.10
+
+# use bash
+SHELL [ "/bin/bash", "-c" ]
+
+# Install necesarry packages
+RUN apt-get update \
+  && apt-get install -y \
+    --no-install-recommends \
+    build-essential \
+    gcc \
+    git \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    pip \
+    python3 \
+    python3-dev \
+  && apt-get clean \
+  && rm -rf /var/lib/apt/lists/*
+
+# set workdir and copy sources
+WORKDIR /invokeai
+ARG PIP_REQUIREMENTS=requirements-lin-cuda.txt
+COPY . ./environments-and-requirements/${PIP_REQUIREMENTS} ./
+
+# install requirements and link outputs folder
+RUN pip install \
+  --no-cache-dir \
+  -r ${PIP_REQUIREMENTS}
+
+# 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

@@ -0,0 +1,49 @@
+#!/usr/bin/env bash
+set -e
+
+# 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`
+
+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 "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_tag:\t\t ${invokeai_tag}\n"
+
+if [[ -n "$(docker volume ls -f name="${volumename}" -q)" ]]; then
+  echo "Volume already exists"
+  echo
+else
+  echo -n "createing docker volume "
+  docker volume create "${volumename}"
+fi
+
+# Build Container
+docker build \
+  --platform="${platform}" \
+  --tag="${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/env.sh

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+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}}
+
+export project_name
+export volumename
+export arch
+export platform
+export invokeai_tag

docker-build/run.sh

@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+set -e
+
+source ./docker-build/env.sh || echo "please run from repository root" || exit 1
+
+docker run \
+  --interactive \
+  --tty \
+  --rm \
+  --platform="$platform" \
+  --name="$project_name" \
+  --hostname="$project_name" \
+  --mount="source=$volumename,target=/data" \
+  --publish=9090:9090 \
+  "$invokeai_tag" ${1:+$@}

docker/Dockerfile

@@ -1,107 +0,0 @@
-# syntax=docker/dockerfile:1
-
-ARG PYTHON_VERSION=3.9
-##################
-##  base image  ##
-##################
-FROM --platform=${TARGETPLATFORM} python:${PYTHON_VERSION}-slim AS python-base
-
-LABEL org.opencontainers.image.authors="mauwii@outlook.de"
-
-# Prepare apt for buildkit cache
-RUN rm -f /etc/apt/apt.conf.d/docker-clean \
-  && echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' >/etc/apt/apt.conf.d/keep-cache
-
-# Install dependencies
-RUN \
-  --mount=type=cache,target=/var/cache/apt,sharing=locked \
-  --mount=type=cache,target=/var/lib/apt,sharing=locked \
-  apt-get update \
-  && apt-get install -y \
-    --no-install-recommends \
-    libgl1-mesa-glx=20.3.* \
-    libglib2.0-0=2.66.* \
-    libopencv-dev=4.5.*
-
-# Set working directory and env
-ARG APPDIR=/usr/src
-ARG APPNAME=InvokeAI
-WORKDIR ${APPDIR}
-ENV PATH ${APPDIR}/${APPNAME}/bin:$PATH
-# Keeps Python from generating .pyc files in the container
-ENV PYTHONDONTWRITEBYTECODE 1
-# Turns off buffering for easier container logging
-ENV PYTHONUNBUFFERED 1
-# Don't fall back to legacy build system
-ENV PIP_USE_PEP517=1
-
-#######################
-##  build pyproject  ##
-#######################
-FROM python-base AS pyproject-builder
-
-# Install build dependencies
-RUN \
-  --mount=type=cache,target=/var/cache/apt,sharing=locked \
-  --mount=type=cache,target=/var/lib/apt,sharing=locked \
-  apt-get update \
-  && apt-get install -y \
-    --no-install-recommends \
-    build-essential=12.9 \
-    gcc=4:10.2.* \
-    python3-dev=3.9.*
-
-# Prepare pip for buildkit cache
-ARG PIP_CACHE_DIR=/var/cache/buildkit/pip
-ENV PIP_CACHE_DIR ${PIP_CACHE_DIR}
-RUN mkdir -p ${PIP_CACHE_DIR}
-
-# Create virtual environment
-RUN --mount=type=cache,target=${PIP_CACHE_DIR} \
-  python3 -m venv "${APPNAME}" \
-  --upgrade-deps
-
-# Install requirements
-COPY --link pyproject.toml .
-COPY --link invokeai/version/invokeai_version.py invokeai/version/__init__.py invokeai/version/
-ARG PIP_EXTRA_INDEX_URL
-ENV PIP_EXTRA_INDEX_URL ${PIP_EXTRA_INDEX_URL}
-RUN --mount=type=cache,target=${PIP_CACHE_DIR} \
-  "${APPNAME}"/bin/pip install .
-
-# Install pyproject.toml
-COPY --link . .
-RUN --mount=type=cache,target=${PIP_CACHE_DIR} \
-  "${APPNAME}/bin/pip" install .
-
-# Build patchmatch
-RUN python3 -c "from patchmatch import patch_match"
-
-#####################
-##  runtime image  ##
-#####################
-FROM python-base AS runtime
-
-# Create a new user
-ARG UNAME=appuser
-RUN useradd \
-  --no-log-init \
-  -m \
-  -U \
-  "${UNAME}"
-
-# Create volume directory
-ARG VOLUME_DIR=/data
-RUN mkdir -p "${VOLUME_DIR}" \
-  && chown -hR "${UNAME}:${UNAME}" "${VOLUME_DIR}"
-
-# Setup runtime environment
-USER ${UNAME}:${UNAME}
-COPY --chown=${UNAME}:${UNAME} --from=pyproject-builder ${APPDIR}/${APPNAME} ${APPNAME}
-ENV INVOKEAI_ROOT ${VOLUME_DIR}
-ENV TRANSFORMERS_CACHE ${VOLUME_DIR}/.cache
-ENV INVOKE_MODEL_RECONFIGURE "--yes --default_only"
-EXPOSE 9090
-ENTRYPOINT [ "invokeai" ]
-CMD [ "--web", "--host", "0.0.0.0", "--port", "9090" ]
-VOLUME [ "${VOLUME_DIR}" ]