Model card: explicit pipeline arguments, link the open Diffusers pull request

README.md

@@ -31,9 +31,9 @@ This repository is the [Diffusers](https://github.com/huggingface/diffusers) rel
 >
 > These weights are the **2026-10-19 release**: a 147-class residue vocabulary and a 32-dimensional
 > latent, produced by a LoRA fine-tune of the pretrained base that is merged into these weights.
-> Support for them is not in a released Diffusers version yet. It lives on branch
-> `add-rfd4-proteina-torch` of `huggingface/diffusers-new-model-addition-RFD4-Proteina`
-> (pull request 4). An older Diffusers will fail to load this repository rather than sample it
+> Support for them is not in a released Diffusers version yet. It is in the open pull request
+> [huggingface/diffusers#15088](https://github.com/huggingface/diffusers/pull/15088)
+> (branch `add-rfd4-proteina-torch` of `kierandidi/diffusers`). An older Diffusers will fail to load this repository rather than sample it
 > incorrectly.
 >
 > You also need the matching [`nvidia/RFD4-Proteina-prep`](https://huggingface.co/nvidia/RFD4-Proteina-prep),
@@ -73,9 +73,16 @@ features, atoms = prepare_cif(input_cif, seed=42, device=pipe.device)
 
 required = ["padding_mask", "is_in_context_conditioning", "supports_local_latent", "token_type",
             "atom37_mask", "coords_nm"]
-inputs = {name: features[name] for name in required}
 conditioning = {name: value for name, value in features.items() if name not in required}
-output = pipe(**inputs, conditioning_features=conditioning, generator=torch.Generator("cuda:0").manual_seed(42))
+output = pipe(
+    padding_mask=features["padding_mask"],
+    is_in_context_conditioning=features["is_in_context_conditioning"],
+    supports_local_latent=features["supports_local_latent"],
+    token_type=features["token_type"],
+    atom37_mask=features["atom37_mask"],
+    conditioning_features=conditioning,
+    generator=torch.Generator("cuda:0").manual_seed(42),
+)
 write_cif(output, features, atoms, "design.cif")
 ```