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
Split the scheduler per modality, move recycle_depths to the pipeline config, rename feature-embedding keys
5db5138 verified Download vae/diffusion_pytorch_model.safetensors from nvidia/RFD4-Proteina-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.03 GB
-
https://huggingface.co/nvidia/RFD4-Proteina-Diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://nvidia/RFD4-Proteina-Diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/nvidia/RFD4-Proteina-Diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
1.03 GB
- Xet hash:
- cab21543aa84a62c905bc6366a7178106218a6c60683e67f8d535902c67ea36f
- Size of remote file:
- 1.03 GB
- SHA256:
- 9964734a208f3d6fc41526bff84f07a79c7465e1b44fa16f336ab716a28cca2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.