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/fsd/weights/fre.pt from deepsafe/deepsafe-services: direct link, hf CLI and curl.
- Browser
- Download file 9.86 kB
-
https://huggingface.co/deepsafe/deepsafe-services/resolve/main/image/fsd/weights/fre.pt
- Command line
-
hf download hf://deepsafe/deepsafe-services/image/fsd/weights/fre.pt
-
curl -L -o fre.pt https://huggingface.co/deepsafe/deepsafe-services/resolve/main/image/fsd/weights/fre.pt
9.86 kB
- Xet hash:
- e146887c2b1c951118c88e2a8a83d093f5502eb1210140b7c9861e9c1e775449
- Size of remote file:
- 9.86 kB
- SHA256:
- d95b9c50837dbf7b660bbefa20cdaa5db5e59601a9d6544573c10e78e04906bb
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