InvokeAI/.github/workflows/create-caches.yml

71 lines
2.6 KiB
YAML

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