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
File size: 84,571 Bytes
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From scikit-image:
Copyright: 2009-2022 the scikit-image team
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skimage/morphology/watershed.py
skimage/segmentation/heap_general.pxi
skimage/segmentation/heap_watershed.pxi
skimage/segmentation/_watershed.py
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Copyright: 2003-2009 Massachusetts Institute of Technology
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2003 Lee Kamentsky
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Files: skimage/filters/thresholding.py
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Copyright: 2009-2015 Board of Regents of the University of
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and Max Planck Institute of Molecular Cell Biology and
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2009 Zachary Pincus
2009 Almar Klein
License: BSD-2-Clause
File: skimage/morphology/grayreconstruct.py
skimage/morphology/tests/test_reconstruction.py
Copyright: 2003-2009 Massachusetts Institute of Technology
2009-2011 Broad Institute
2003 Lee Kamentsky
License: BSD-3-Clause
File: skimage/morphology/_grayreconstruct.pyx
Copyright: 2003-2009 Massachusetts Institute of Technology
2009-2011 Broad Institute
2003 Lee Kamentsky
2022 Gregory Lee (added a 64-bit integer variant for large images)
License: BSD-3-Clause
File: skimage/segmentation/_expand_labels.py
Copyright: 2020 Broad Institute
2020 CellProfiler team
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File: skimage/exposure/_adapthist.py
Copyright: 1994 Karel Zuiderveld
License: BSD-3-Clause
Function: skimage/morphology/_skeletonize_cy.pyx:_skeletonize_loop
Copyright: 2003-2009 Massachusetts Institute of Technology
2009-2011 Broad Institute
2003 Lee Kamentsky
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Copyright: 2013 The IPython Development Team
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Function: skimage/_shared/version_requirements.py:is_installed
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License: MIT
File: skimage/feature/_fisher_vector.py
Copyright: 2014 2014 Dan Oneata
License: MIT
File: skimage/_vendored/numpy_lookfor.py
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License: BSD-2-Clause
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From opencv-python:
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From Imutils:
The MIT License (MIT)
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Permission is hereby granted, free of charge, to any person obtaining a copy
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From Pillow:
The Python Imaging Library (PIL) is
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From PyYAML:
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Copyright (c) 2006-2016 Kirill Simonov
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From scipy:
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All rights reserved.
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From scikit-learn:
BSD 3-Clause License
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From simplejson:
simplejson is dual-licensed software. It is available under the terms
of the MIT license, or the Academic Free License version 2.1. The full
text of each license agreement is included below. This code is also
licensed to the Python Software Foundation (PSF) under a Contributor
Agreement.
MIT License
===========
Copyright (c) 2006 Bob Ippolito
Permission is hereby granted, free of charge, to any person obtaining a copy of
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Academic Free License v. 2.1
============================
Copyright (c) 2006 Bob Ippolito. All rights reserved.
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From pandas:
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From shape_predictor_81_face_landmarks:
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From retinaface:
MIT License
Copyright (c) 2020 Vladimir Iglovikov
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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
Copyright (c) 2021 David Samuel
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From natsort:
Copyright (c) 2012-2023 Seth M. Morton
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