Diffusers
Safetensors
English
RFD4ProteinaPipeline
biology
protein-design
biomolecular-design
structure-generation
flow-matching
annotated-cif
Instructions to use nvidia/RFD4-Proteina-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/RFD4-Proteina-Diffusers 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-Diffusers", 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: 791 Bytes
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"source_model": "nvidia/RFD4-Proteina",
"source_format_version": 1,
"source_bundle_revision": null,
"source_weights_sha256": "5b549dd61adb2f6c6b5cb95bda13f40f5e31556b4e6c755edc0ca6f011c68fb0",
"source_config_sha256": "154ea927ab8005b7eac2d047a792147fb4606ab4878e496aa8414b6b40dad368",
"weights": "EMA, float32; the fused query/key/value projections are split and a few modules renamed, every other tensor is unchanged",
"sampler_recipe": "thinking_medium",
"num_inference_steps": 60,
"residue_vocabulary_size": 147,
"token_type_vocabulary_size": 7,
"atom37_mask_sha256": "31670c6a6b5e89b97fcd0c09a24f074faa5460d9bc43deee6d59a9e1f22ef34e",
"path_length_search_cutoff": 64,
"converted_with": "diffusers 0.42.0.dev0, scripts/convert_rfd4_proteina_to_diffusers.py"
}
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