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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

60 lines
1.7 KiB
Python

# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass, field
from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
@dataclass
class MOVASamplingParams(SamplingParams):
# Video parameters (MOVA defaults)
height: int = 352
width: int = 640
num_frames: int = 193
fps: int = 24
# Denoising stage
guidance_scale: float = 5.0
num_inference_steps: int = 50
sigma_shift: float = 5.0
visual_shift: float = 5.0
audio_shift: float = 5.0
adjust_frames: bool = False
negative_prompt: str = (
"色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,"
"整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,"
"画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,"
"静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走"
)
@dataclass
class MOVA_360P_SamplingParams(MOVASamplingParams):
# Video parameters (MOVA 360P)
height: int = 352
width: int = 640
# MOVA 360P supported resolutions
supported_resolutions: list[tuple[int, int]] = field(
default_factory=lambda: [
(352, 640),
(640, 352),
]
)
@dataclass
class MOVA_720P_SamplingParams(MOVASamplingParams):
# Video parameters (MOVA 720P)
height: int = 720
width: int = 1280
# MOVA 720P supported resolutions
supported_resolutions: list[tuple[int, int]] = field(
default_factory=lambda: [
(720, 1280),
(1280, 720),
]
)