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 video/fake-stormer/model_code/Third_Party_License_Notice from deepsafe/deepsafe-services: direct link, hf CLI and curl.
- Browser
- Download file 84.6 kB
-
https://huggingface.co/deepsafe/deepsafe-services/resolve/3680c22ed9fca1657ae7b4c5c4f89042446aa503/video/fake-stormer/model_code/Third_Party_License_Notice
- Command line
-
hf download hf://deepsafe/deepsafe-services@3680c22ed9fca1657ae7b4c5c4f89042446aa503/video/fake-stormer/model_code/Third_Party_License_Notice
-
curl -L -o Third_Party_License_Notice https://huggingface.co/deepsafe/deepsafe-services/resolve/3680c22ed9fca1657ae7b4c5c4f89042446aa503/video/fake-stormer/model_code/Third_Party_License_Notice
84.6 kB
| FakeSTormer is © 2024 - 2025 University of Luxembourg | |
| Developed by: Dat Nguyen at CVI2/SnT | |
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| From scipy: | |
| Copyright (c) 2001-2002 Enthought, Inc. 2003-2024, SciPy Developers. | |
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| =========== | |
| Copyright (c) 2006 Bob Ippolito | |
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| Academic Free License v. 2.1 | |
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| From pandas: | |
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| From retinaface: | |
| MIT License | |
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| From EfficientNet-PyTorch: | |
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| From albumentations: | |
| MIT License | |
| Copyright (c) 2017 Buslaev Alexander, Alexander Parinov, Vladimir Iglovikov | |
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| From SAM: | |
| MIT License | |
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| From natsort: | |
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