Instructions to use StonyBrook-CVLab/BigCell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StonyBrook-CVLab/BigCell with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StonyBrook-CVLab/BigCell", 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
Add pipeline tag
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by nielsr HF Staff - opened
README.md
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license: cc-by-nc-nd-4.0
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library_name: diffusers
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tags:
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- histopathology
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- whole-slide-image
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- Academic and research use only: you may use these weights for non-commercial research purposes.
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- No commercial use, including product development or commercial services.
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- Generated images must not be used for clinical diagnosis.
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---
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library_name: diffusers
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license: cc-by-nc-nd-4.0
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pipeline_tag: image-to-image
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tags:
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- histopathology
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- whole-slide-image
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- Academic and research use only: you may use these weights for non-commercial research purposes.
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- No commercial use, including product development or commercial services.
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- Generated images must not be used for clinical diagnosis.
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