| # inference.gin — generated by SCAPES training | |
| # Load this file with FlowInference(model_dir=...) to reconstruct models and run inference. | |
| # ─── Model architecture ─── | |
| model.d_model = 1024 | |
| model.nhead = 16 | |
| model.num_layers = 12 | |
| model.dim_feedforward = 2048 | |
| # ─── LocalEncoder architecture ─── | |
| local_encoder.hidden_dim = 256 | |
| local_encoder.time_entanglement = True | |
| local_encoder.temporal_compression = 1 | |
| # ─── Atom geometry (from dataprep) ─── | |
| atoms.frames = 48 | |
| atoms.hop_frames = 15 | |
| atoms.crossfade_frames = 3 | |
| dataset.memory_buffer_atoms = 1 | |
| dataset.context_seconds = 1.0 | |
| dataset.semantic_random_extension = True | |
| # ─── Inference defaults ─── | |
| inference.cfg_scale = 3.0 | |