Instructions to use deepsafe/deepsafe-services with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepsafe/deepsafe-services with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepsafe/deepsafe-services", 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
Download ensemble-core/Dockerfile from deepsafe/deepsafe-services: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/deepsafe/deepsafe-services/resolve/main/ensemble-core/Dockerfile
- Command line
-
hf download hf://deepsafe/deepsafe-services/ensemble-core/Dockerfile
-
curl -L -o Dockerfile https://huggingface.co/deepsafe/deepsafe-services/resolve/main/ensemble-core/Dockerfile
279 Bytes
| FROM python:3.9-slim | |
| WORKDIR /app | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| COPY main.py . | |
| # Drop root privileges | |
| RUN adduser --disabled-password --gecos '' appuser | |
| USER appuser | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8003"] | |