Commit History
2 days ago
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Cards: point links at rfd4-proteina.org docs and the new wordmark
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Model card: support is merged into Diffusers, install from git until the next release
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Install Diffusers from git until the release carries RFD4-Proteina
Verified signatureRFD4-Proteina was merged into Diffusers upstream as huggingface/diffusers#15088 on 2026-10-20, so the pipeline no longer comes from a staging branch. It is not on PyPI yet, which the next Diffusers release fixes, so the quickstart installs from git and shows the plain pip line commented out beside it. Checked rather than assumed, in a clean 3.12 environment: the git install imports RFD4ProteinaPipeline, and nvidia/RFD4-Proteina-Diffusers loads through it with all four components and no newly-initialized warnings. accelerate is listed because the load fails without it: "`low_cpu_mem_usage` cannot be False when `keep_in_fp32_modules` is True".6e0e4bb -
Point links at the public RosettaCommons/RFD4-Proteina repository, pin the 2026-10-19 revision, update install paths
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Model card: explicit pipeline arguments, link the open Diffusers pull request
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Point the examples section at a reproduction path that exists
Verified signatureThe section told readers to run examples/run_examples.py from the prep repository. That script reads a flat <name>.cif from a local --inputs-dir, not this repository layout of examples/<name>/input.cif, and the prep repository ships seven of these nine inputs: the two antibody ones are excluded there. So the instruction could not reproduce the table it sat under. It now points at this repository own inputs through the Quickstart above, which already downloads examples/protein_binder/input.cif, and names run_hub_examples.py for the seven that prep does package, since that runner pins the model, prep and Diffusers revisions. The Quickstart required list also gains coords_nm. It is a named pipeline argument that partial diffusion and inverse folding read; leaving it in conditioning_features raises "partial and inverse generation require clean coords_nm". A full run ignores it, so the snippet behaves identically.4aa8963 -
Model card: examples are generated with these weights
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Model card: 2026-10-19 release, Diffusers branch
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Model card: two schedulers, recycle_depths in model_index.json
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Model card: pin the preparation package to a revision
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3 days ago
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Model card: parameter count, fine-tuning note
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Model card: new pipeline call signature, 180 trunk passes
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4 days ago
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Model card: the autoencoder component is registered as vae
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Update to the 2026-10-15 unified release (147-class, latent 32)
Verified signatureConverted from nvidia/RFD4-Proteina at 976e0c90 (weights_sha256 5f00cdcd...) with converter revision 0291146a. The sampler recipe is read from the RFD4 repository's own configs/generation/inference_base.yaml rather than a transcribed default, so the scheduler records tsr_matched_noise, t_lim_ode 0.95 and tsr_sigma 12.0. Requires the unreleased rfd4-unified-checkpoint branch and the matching prep package; the existing example outputs are from the previous release and will not reproduce.36e146b
7 days ago
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Publication layout: model card, provenance, examples, assets
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Publication layout: model card, provenance, examples, assets
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Publication layout: model card, provenance, examples, assets
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Publication layout: model card, provenance, examples, assets
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Publication layout: model card, provenance, examples, assets
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