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nvidia
/
RFD4-Proteina-prep

Diffusers
modular-diffusers
biology
protein-design
annotated-cif
Model card Files Files and versions
xet
Community
1

Instructions to use nvidia/RFD4-Proteina-prep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nvidia/RFD4-Proteina-prep with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nvidia/RFD4-Proteina-prep", 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
RFD4-Proteina-prep / src /rfd4_proteina_prep
697 kB
Ctrl+K
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  • 3 contributors
History: 6 commits
kdidi99's picture
kdidi99
Claude Opus 5
Take RFD4 5248e9a1, fix a stale vocabulary, require AtomWorks 3.0.4
82eed95 8 days ago
  • _cif
    Take RFD4 5248e9a1, fix a stale vocabulary, require AtomWorks 3.0.4 8 days ago
  • resources
    Take RFD4 5248e9a1, fix a stale vocabulary, require AtomWorks 3.0.4 8 days ago
  • __init__.py
    176 Bytes
    Add the annotated-CIF preparation and export package for the Diffusers RFD4-Proteina pipeline 12 days ago
  • processing.py
    6.69 kB
    Vendor the whole RFD4 datapipe instead of an inference-only fork 9 days ago