Instructions to use elvis92/pets_rank_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elvis92/pets_rank_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("elvis92/pets_rank_2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusers/.github/workflows/pr_test_peft_backend.yml from elvis92/pets_rank_2: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/.github/workflows/pr_test_peft_backend.yml
- Command line
-
hf download hf://elvis92/pets_rank_2/diffusers/.github/workflows/pr_test_peft_backend.yml
-
curl -L -o pr_test_peft_backend.yml https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/.github/workflows/pr_test_peft_backend.yml
1.69 kB
| name: Fast tests for PRs - PEFT backend | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| env: | |
| DIFFUSERS_IS_CI: yes | |
| OMP_NUM_THREADS: 4 | |
| MKL_NUM_THREADS: 4 | |
| PYTEST_TIMEOUT: 60 | |
| jobs: | |
| run_fast_tests: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| lib-versions: ["main", "latest"] | |
| name: LoRA - ${{ matrix.lib-versions }} | |
| runs-on: docker-cpu | |
| container: | |
| image: diffusers/diffusers-pytorch-cpu | |
| options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ | |
| defaults: | |
| run: | |
| shell: bash | |
| steps: | |
| - name: Checkout diffusers | |
| uses: actions/checkout@v3 | |
| with: | |
| fetch-depth: 2 | |
| - name: Install dependencies | |
| run: | | |
| apt-get update && apt-get install libsndfile1-dev libgl1 -y | |
| python -m pip install -e .[quality,test] | |
| if [ "${{ matrix.lib-versions }}" == "main" ]; then | |
| python -m pip install -U git+https://github.com/huggingface/peft.git | |
| python -m pip install -U git+https://github.com/huggingface/transformers.git | |
| python -m pip install -U git+https://github.com/huggingface/accelerate.git | |
| else | |
| python -m pip install -U peft transformers accelerate | |
| fi | |
| - name: Environment | |
| run: | | |
| python utils/print_env.py | |
| - name: Run fast PyTorch LoRA CPU tests with PEFT backend | |
| run: | | |
| python -m pytest -n 2 --max-worker-restart=0 --dist=loadfile \ | |
| -s -v \ | |
| --make-reports=tests_${{ matrix.config.report }} \ | |
| tests/lora/test_lora_layers_peft.py | |