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 image/yermandy/Dockerfile from deepsafe/deepsafe-services: direct link, hf CLI and curl.
- Browser
- Download file 1.77 kB
-
https://huggingface.co/deepsafe/deepsafe-services/resolve/main/image/yermandy/Dockerfile
- Command line
-
hf download hf://deepsafe/deepsafe-services/image/yermandy/Dockerfile
-
curl -L -o Dockerfile https://huggingface.co/deepsafe/deepsafe-services/resolve/main/image/yermandy/Dockerfile
1.77 kB
| FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04 | |
| ENV DEBIAN_FRONTEND=noninteractive | |
| ENV PYTHONUNBUFFERED=1 | |
| WORKDIR /app | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| python3 python3-pip \ | |
| git wget \ | |
| && rm -rf /var/lib/apt/lists/* | |
| RUN ln -sf /usr/bin/python3 /usr/bin/python | |
| # Install PyTorch with CUDA 12.1 (downgraded from 2.6.0 -- no cu121 wheels for 2.6+) | |
| RUN pip install --no-cache-dir \ | |
| torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 \ | |
| --index-url https://download.pytorch.org/whl/cu121 | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| RUN git clone https://github.com/yermandy/deepfake-detection.git model_code | |
| RUN mkdir -p model_code/weights && \ | |
| wget https://huggingface.co/yermandy/deepfake-detection/resolve/main/model.ckpt -O model_code/weights/model.ckpt | |
| ENV HF_HOME=/app/huggingface_cache | |
| ENV TRANSFORMERS_CACHE=/app/huggingface_cache | |
| ENV HF_HUB_CACHE=/app/huggingface_cache | |
| RUN mkdir -p $HF_HOME | |
| RUN pip install --no-cache-dir --upgrade transformers | |
| RUN python -c "from transformers import CLIPProcessor, CLIPModel; \ | |
| CLIPProcessor.from_pretrained('openai/clip-vit-base-patch16'); \ | |
| CLIPProcessor.from_pretrained('openai/clip-vit-base-patch32'); \ | |
| CLIPProcessor.from_pretrained('openai/clip-vit-large-patch14'); \ | |
| CLIPProcessor.from_pretrained('openai/clip-vit-large-patch14-336'); \ | |
| CLIPModel.from_pretrained('openai/clip-vit-large-patch14')" | |
| COPY app.py . | |
| ENV MODEL_PORT=5002 | |
| ENV MODEL_PATH=model_code/weights/model.ckpt | |
| ENV PRELOAD_MODEL="false" | |
| ENV MODEL_TIMEOUT="600" | |
| ENV PYTHONPATH=/app/model_code:/app/model_code/src:$PYTHONPATH | |
| EXPOSE ${MODEL_PORT} | |
| RUN adduser --disabled-password --gecos '' appuser | |
| USER appuser | |
| CMD ["python", "app.py"] | |