mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
71 lines
2.6 KiB
YAML
71 lines
2.6 KiB
YAML
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name: Create Caches
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on:
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workflow_dispatch
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jobs:
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build:
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strategy:
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matrix:
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os: [ ubuntu-latest, macos-12 ]
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name: Create Caches on ${{ matrix.os }} conda
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runs-on: ${{ matrix.os }}
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steps:
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- name: Set platform variables
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id: vars
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run: |
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if [ "$RUNNER_OS" = "macOS" ]; then
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echo "::set-output name=ENV_FILE::environment-mac.yaml"
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echo "::set-output name=PYTHON_BIN::/usr/local/miniconda/envs/ldm/bin/python"
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elif [ "$RUNNER_OS" = "Linux" ]; then
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echo "::set-output name=ENV_FILE::environment.yaml"
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echo "::set-output name=PYTHON_BIN::/usr/share/miniconda/envs/ldm/bin/python"
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fi
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- name: Checkout sources
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uses: actions/checkout@v3
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- name: Use Cached Stable Diffusion v1.4 Model
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id: cache-sd-v1-4
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uses: actions/cache@v3
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env:
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cache-name: cache-sd-v1-4
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with:
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path: models/ldm/stable-diffusion-v1/model.ckpt
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key: ${{ env.cache-name }}
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restore-keys: |
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${{ env.cache-name }}
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- name: Download Stable Diffusion v1.4 Model
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if: ${{ steps.cache-sd-v1-4.outputs.cache-hit != 'true' }}
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run: |
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if [ ! -e models/ldm/stable-diffusion-v1 ]; then
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mkdir -p models/ldm/stable-diffusion-v1
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fi
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if [ ! -e models/ldm/stable-diffusion-v1/model.ckpt ]; then
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curl -o models/ldm/stable-diffusion-v1/model.ckpt ${{ secrets.SD_V1_4_URL }}
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fi
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- name: Use Cached Dependencies
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id: cache-conda-env-ldm
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uses: actions/cache@v3
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env:
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cache-name: cache-conda-env-ldm
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with:
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path: ~/.conda/envs/ldm
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key: ${{ env.cache-name }}
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restore-keys: |
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${{ env.cache-name }}-${{ runner.os }}-${{ hashFiles(steps.vars.outputs.ENV_FILE) }}
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- name: Install Dependencies
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if: ${{ steps.cache-conda-env-ldm.outputs.cache-hit != 'true' }}
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run: |
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conda env create -f ${{ steps.vars.outputs.ENV_FILE }}
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- name: Use Cached Huggingface and Torch models
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id: cache-huggingface-torch
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uses: actions/cache@v3
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env:
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cache-name: cache-huggingface-torch
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with:
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path: ~/.cache
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key: ${{ env.cache-name }}
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restore-keys: |
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${{ env.cache-name }}-${{ hashFiles('scripts/preload_models.py') }}
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- name: Download Huggingface and Torch models
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if: ${{ steps.cache-huggingface-torch.outputs.cache-hit != 'true' }}
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run: |
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${{ steps.vars.outputs.PYTHON_BIN }} scripts/preload_models.py
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