Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use frknayk/dreambooth_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frknayk/dreambooth_training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("frknayk/dreambooth_training", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusers/.github/workflows/stale.yml from frknayk/dreambooth_training: direct link, hf CLI and curl.
- Browser
- Download file 548 Bytes
-
https://huggingface.co/frknayk/dreambooth_training/resolve/main/diffusers/.github/workflows/stale.yml
- Command line
-
hf download hf://frknayk/dreambooth_training/diffusers/.github/workflows/stale.yml
-
curl -L -o stale.yml https://huggingface.co/frknayk/dreambooth_training/resolve/main/diffusers/.github/workflows/stale.yml
548 Bytes
| name: Stale Bot | |
| on: | |
| schedule: | |
| - cron: "0 15 * * *" | |
| jobs: | |
| close_stale_issues: | |
| name: Close Stale Issues | |
| if: github.repository == 'huggingface/diffusers' | |
| runs-on: ubuntu-latest | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Setup Python | |
| uses: actions/setup-python@v1 | |
| with: | |
| python-version: 3.7 | |
| - name: Install requirements | |
| run: | | |
| pip install PyGithub | |
| - name: Close stale issues | |
| run: | | |
| python utils/stale.py | |