# 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