102 lines
2.3 KiB
Python
102 lines
2.3 KiB
Python
from typing import List, Optional
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from pydantic import BaseModel, Field
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class GenerateMultiViewModel(BaseModel):
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tasks_id: str
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image_url: str
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class GenerateImageFlux2KleinModel(BaseModel):
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bucket_name: str = Field(..., description="OSS桶名，不传则为None")
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object_name: str = Field(..., description="OSS对象名（文件路径），不传则为None")
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# input_image_paths: Optional[List[str]] = Field(default=[], description="输入图片路径列表")
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width: Optional[int] = Field(default=1024, description="图片宽度，默认512像素")
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height: Optional[int] = Field(default=1024, description="图片高度，默认512像素")
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prompt: Optional[str] = Field(default="", description="文本提示词，用于模型推理等场景")
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steps: Optional[int] = Field(default=4, description="推理步数，控制模型生成过程的迭代次数")
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guidance: Optional[float] = Field(default=4.0, description="引导系数，调节提示词对生成结果的影响程度")
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class GenerateImageModel(BaseModel):
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tasks_id: str
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prompt: str
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image_url: str
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mode: str
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category: str
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gender: str
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version: str
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class GenerateSingleLogoImageModel(BaseModel):
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tasks_id: str
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prompt: str
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seed: str
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class GenerateProductImageModel(BaseModel):
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tasks_id: str
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prompt: str
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image_url: str
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image_strength: float
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product_type: str
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class GenerateRelightImageModel(BaseModel):
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tasks_id: str
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prompt: str
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image_url: str
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direction: str
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product_type: str
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"""
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batch generate image
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"""
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# product任务子项
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class ProductItemModel(BaseModel):
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tasks_id: str
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image_strength: float
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prompt: str
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image_url: str
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product_type: str
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# product批处理 集合
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class BatchGenerateProductImageModel(BaseModel):
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batch_tasks_id: str
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user_id: str
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batch_data_list: List[ProductItemModel]
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# relight任务子项
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class RelightItemModel(BaseModel):
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tasks_id: str
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prompt: str
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image_url: str
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direction: str
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product_type: str
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# relight批处理集合
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class BatchGenerateRelightImageModel(BaseModel):
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batch_tasks_id: str
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user_id: str
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batch_data_list: List[RelightItemModel]
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"""
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agent tool generate image
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"""
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class AgentTollGenerateImageModel(BaseModel):
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prompt: str
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category: str
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gender: str
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version: str
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size: int
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