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/universal/weights/fc_weights.pth from deepsafe/deepsafe-services: direct link, hf CLI and curl.
- Browser
- Download file 4.08 kB
-
https://huggingface.co/deepsafe/deepsafe-services/resolve/main/image/universal/weights/fc_weights.pth
- Command line
-
hf download hf://deepsafe/deepsafe-services/image/universal/weights/fc_weights.pth
-
curl -L -o fc_weights.pth https://huggingface.co/deepsafe/deepsafe-services/resolve/main/image/universal/weights/fc_weights.pth
4.08 kB
- Xet hash:
- 8d4c41cbf4157056bffd33981a4bd0a336eeb2c870df92934ec323a5d273b219
- Size of remote file:
- 4.08 kB
- SHA256:
- 477100745713bcc957beb2b40859536859b6483fd6301b3b9293151b194c7847
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