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
Bootstrap patched TLS dependencies and fix the prep quickstart install
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README.md
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## Quickstart
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```bash
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# RFD4-Proteina was merged into Diffusers on 2026-10-20 and ships in the next release.
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# Until that release, install Diffusers from git:
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pip install
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```
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```python
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import torch
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from huggingface_hub import hf_hub_download
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## Quickstart
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Before running the commands below, update the operating system's CA certificates and Git's
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TLS trust store using the [platform-specific incident guidance](https://emudhra.we-have-a-problem.com/).
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Git-based installs use Git's TLS configuration, independently of Python's `certifi`.
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Run the bootstrap in the Python environment you will use, including each newly created virtual
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environment. The hash-pinned pip upgrade follows the
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[Python security advisory](https://discuss.python.org/t/109576); updating `certifi` alone does not
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update pip's bundled certificates.
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```bash
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# Bootstrap pip's bundled CA certificates before installing dependencies.
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python -m pip install "pip @ https://files.pythonhosted.org/packages/3f/06/3e4420302363fbb71be3c7f35ce042f54bfca330e3e66b3a2e3c4cca579f/pip-26.2.2-py3-none-any.whl#sha256=fd7f4dfa8190e014013b9f08f3e973f4e4c26ffd179a204895533a7254813a70"
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python -m pip install --upgrade "certifi>=2026.10.19"
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# RFD4-Proteina was merged into Diffusers on 2026-10-20 and ships in the next release.
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# Until that release, install Diffusers from git:
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python -m pip install huggingface_hub
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hf download nvidia/RFD4-Proteina-prep \
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--revision c9959efdebd75ac7fe9129fbbf0e291a6e0487d5 \
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--local-dir rfd4-prep
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python -m pip install ./rfd4-prep
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python -m pip install git+https://github.com/huggingface/diffusers accelerate
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# Once the release is out, replace the final command above with:
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# python -m pip install diffusers accelerate
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```
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If using alternative installers, use `uv>=0.13.4` or `pixi>=0.82.1` before downloads.
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These repositories do not build Rust or Node tooling. Native download extensions such as
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`hf-xet`, if installed through `huggingface_hub`, have their own TLS implementation: a
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`certifi` upgrade does not establish that those binaries are patched. Check the upstream
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binary's advisory or build provenance separately; updating a local Rust compiler does not
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rebuild installed wheels. Keep TLS verification enabled.
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```python
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import torch
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from huggingface_hub import hf_hub_download
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