RFdiffusion vs RFdiffusion2
RFdiffusion: Diffusion model for de novo protein backbone design and binder design. RFdiffusion2: Atom-level enzyme active-site scaffolding with diffusion, no sequence-position constraints.
Facts below come from each project's own website, repository and paper. We don't publish benchmark claims here; see the papers for evaluations. Shared tags: diffusion.
| Field | RFdiffusion | RFdiffusion2 |
|---|---|---|
| Task | Backbone generation, binder design, motif scaffolding | Enzyme active-site scaffolding |
| Modalities | Protein (binders, symmetric assemblies) | Enzyme from functional-group geometry |
| MSA required | — | — |
| Open weights | Yes | Yes |
| GPU need | — | — |
| License | BSD-3-Clause | BSD-3-Clause |
| Pricing | Open source | Open source |
| Released | 2022-12-10 | 2025-04-10 |
| Paper | Link | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 3,088 | 450 |
| Interface | Package, Docker, Colab | — |
License and commercial use
| Field | RFdiffusion | RFdiffusion2 |
|---|---|---|
| Code license | BSD-3-Clause | BSD-3-Clause |
| Weights license | — | — |
| Commercial use | Permissive (commercial OK) | Permissive (commercial OK) |
| Answer | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details | Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices. Details |
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