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"""Public SCoPE inference defaults matching the released 32k checkpoint."""
from __future__ import annotations
from dataclasses import dataclass
SCOPE_MODEL_ID = "TencentARC/SCoPE"
@dataclass(frozen=True)
class InferenceConfig:
height: int = 480
width: int = 832
num_frames: int = 81
fps: int = 16
num_inference_steps: int = 40
sigma_shift: float = 5.0
cfg_scale: float = 3.5
switch_dit_boundary: float = 0.9
seed: int = 42
@dataclass(frozen=True)
class ArchitectureConfig:
plucker_init: str = "zero"
plucker_init_scale: float = 0.01
plucker_mlp_hidden: int = 64
plucker_scale: float = 1.0
gate_init_bias: float = -2.0
scale_gate_hidden: int = 0
use_camera_residual: bool = False
normalize_moment: bool = False