21 lines
1.5 KiB
Python
21 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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from dataclasses import dataclass
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from fastvideo.configs.sample.wan import Wan2_2_I2V_A14B_SamplingParam
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@dataclass
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class LingBotWorld_SamplingParam(Wan2_2_I2V_A14B_SamplingParam):
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guidance_scale: float = 5.0 # high_noise
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guidance_scale_2: float = 5.0 # low_noise
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num_inference_steps: int = 70
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boundary_ratio: float | None = 0.947
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negative_prompt: str | None = ("画面突变，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，"
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"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，"
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"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，"
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"镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，"
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"PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，"
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"皮肤，肢体，面部特征，汽车，电线")
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fps: int = 16
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# NOTE(will): default boundary timestep is tracked by PipelineConfig, but
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# can be overridden during sampling
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