Instructions to use lsmpp/kontextrefiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lsmpp/kontextrefiner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lsmpp/kontextrefiner", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| name: Stale Bot | |
| on: | |
| schedule: | |
| - cron: "0 15 * * *" | |
| jobs: | |
| close_stale_issues: | |
| name: Close Stale Issues | |
| if: github.repository == 'huggingface/diffusers' | |
| runs-on: ubuntu-22.04 | |
| permissions: | |
| issues: write | |
| pull-requests: write | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Setup Python | |
| uses: actions/setup-python@v1 | |
| with: | |
| python-version: 3.8 | |
| - name: Install requirements | |
| run: | | |
| pip install PyGithub | |
| - name: Close stale issues | |
| run: | | |
| python utils/stale.py | |