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

name: Test invoke.py
on:
  push:
    branches:
      - 'main'
      - 'development'
      - 'fix-gh-actions-fork'
  pull_request:

jobs:
  matrix:
    strategy:
      matrix:
        stable-diffusion-model:
          - diffusers-1.4
        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}
    name: ${{ matrix.environment-yaml }} on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    env:
      CONDA_ENV_NAME: invokeai
      INVOKEAI_ROOT: '${{ github.workspace }}/invokeai'
      PYTHONUNBUFFERED: 1
      HAVE_SECRETS: ${{ secrets.HUGGINGFACE_TOKEN != '' }}
    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 Stable Diffusion Model
        id: cache-sd-model
        uses: actions/cache@v3
        env:
          cache-name: huggingface-${{ matrix.stable-diffusion-model }}
        with:
          path: ~/.cache/huggingface
          key: ${{ env.cache-name }}

      - 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: run configure_invokeai.py
        id: run-preload-models
        run: |
          if [ "${HAVE_SECRETS}" == true ] ; then
            mkdir -p ~/.huggingface
            echo -n '${{ secrets.HUGGINGFACE_TOKEN }}' > ~/.huggingface/token
          fi
          python scripts/configure_invokeai.py \
            --no-interactive --yes \
            --full-precision  # can't use fp16 weights without a GPU          

      - name: cat ~/.invokeai
        id: cat-invokeai
        run: cat ~/.invokeai

      - name: Run the tests
        id: run-tests
        env:
          # Set offline mode to make sure configure preloaded successfully.
          HF_HUB_OFFLINE: 1
          HF_DATASETS_OFFLINE: 1
          TRANSFORMERS_OFFLINE: 1
        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