I run the RFdiffusion/examples/design_ppi_flexible_peptide_with_secondarystructure_specification.sh, and got a error:
USING MODEL CONFIG: self._conf[preprocess][predict_previous] = False
[2025-11-29 14:42:03,088][rfdiffusion.inference.model_runners][INFO] - Loading checkpoint.
[2025-11-29 14:42:03,190][rfdiffusion.diffusion][INFO] - Using cached IGSO3.
Successful diffuser init
[2025-11-29 14:42:03,199][main][INFO] - Making design example_outputs/design_ppi_flexible_peptide_with_secondarystructure/ppi_0
[2025-11-29 14:42:03,202][rfdiffusion.inference.model_runners][INFO] - Using contig: ['70-100/0 B165-178']
With this beta schedule (linear schedule, beta_0 = 0.04, beta_T = 0.28), alpha_bar_T = 0.00013696050154976547
WARNING: you're using a model trained on complexes and hotspot residues, without specifying hotspots. If you're doing monomer diffusion this is fine
Error executing job with overrides: ['inference.output_prefix=example_outputs/design_ppi_flexible_peptide_with_secondarystructure/ppi', 'inference.input_pdb=input_pdbs/tau_peptide.pdb', 'contigmap.contigs=[70-100/0 B165-178]', 'inference.num_designs=10', 'contigmap.inpaint_str=[B165-178]', 'scaffoldguided.scaffoldguided=True', 'contigmap.inpaint_str_helix=[B165-178]']
Traceback (most recent call last):
File "/data1/project/RFdiffusion/examples/../scripts/run_inference.py", line 96, in main
px0, x_t, seq_t, plddt = sampler.sample_step(
File "/data1/project/RFdiffusion/rfdiffusion/inference/model_runners.py", line 701, in sample_step
cyclic_reses=self.cyclic_reses)
AttributeError: 'ScaffoldedSampler' object has no attribute 'cyclic_reses'
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
I run the RFdiffusion/examples/design_ppi_flexible_peptide_with_secondarystructure_specification.sh, and got a error:
USING MODEL CONFIG: self._conf[preprocess][predict_previous] = False
[2025-11-29 14:42:03,088][rfdiffusion.inference.model_runners][INFO] - Loading checkpoint.
[2025-11-29 14:42:03,190][rfdiffusion.diffusion][INFO] - Using cached IGSO3.
Successful diffuser init
[2025-11-29 14:42:03,199][main][INFO] - Making design example_outputs/design_ppi_flexible_peptide_with_secondarystructure/ppi_0
[2025-11-29 14:42:03,202][rfdiffusion.inference.model_runners][INFO] - Using contig: ['70-100/0 B165-178']
With this beta schedule (linear schedule, beta_0 = 0.04, beta_T = 0.28), alpha_bar_T = 0.00013696050154976547
WARNING: you're using a model trained on complexes and hotspot residues, without specifying hotspots. If you're doing monomer diffusion this is fine
Error executing job with overrides: ['inference.output_prefix=example_outputs/design_ppi_flexible_peptide_with_secondarystructure/ppi', 'inference.input_pdb=input_pdbs/tau_peptide.pdb', 'contigmap.contigs=[70-100/0 B165-178]', 'inference.num_designs=10', 'contigmap.inpaint_str=[B165-178]', 'scaffoldguided.scaffoldguided=True', 'contigmap.inpaint_str_helix=[B165-178]']
Traceback (most recent call last):
File "/data1/project/RFdiffusion/examples/../scripts/run_inference.py", line 96, in main
px0, x_t, seq_t, plddt = sampler.sample_step(
File "/data1/project/RFdiffusion/rfdiffusion/inference/model_runners.py", line 701, in sample_step
cyclic_reses=self.cyclic_reses)
AttributeError: 'ScaffoldedSampler' object has no attribute 'cyclic_reses'
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.