mirror of
https://github.com/comfyanonymous/ComfyUI.git
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ac26065e61
* chore(api-nodes): remove non-used; extract model to separate files * chore(api-nodes): remove non-needed prefix in filenames
128 lines
3.6 KiB
Python
128 lines
3.6 KiB
Python
from enum import Enum
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from typing import Optional, List, Union
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from datetime import datetime
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from pydantic import BaseModel, Field, RootModel
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class RunwayAspectRatioEnum(str, Enum):
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field_1280_720 = '1280:720'
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field_720_1280 = '720:1280'
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field_1104_832 = '1104:832'
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field_832_1104 = '832:1104'
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field_960_960 = '960:960'
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field_1584_672 = '1584:672'
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field_1280_768 = '1280:768'
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field_768_1280 = '768:1280'
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class Position(str, Enum):
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first = 'first'
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last = 'last'
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class RunwayPromptImageDetailedObject(BaseModel):
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position: Position = Field(
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...,
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description="The position of the image in the output video. 'last' is currently supported for gen3a_turbo only.",
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)
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uri: str = Field(
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..., description='A HTTPS URL or data URI containing an encoded image.'
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)
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class RunwayPromptImageObject(
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RootModel[Union[str, List[RunwayPromptImageDetailedObject]]]
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):
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root: Union[str, List[RunwayPromptImageDetailedObject]] = Field(
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...,
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description='Image(s) to use for the video generation. Can be a single URI or an array of image objects with positions.',
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)
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class RunwayModelEnum(str, Enum):
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gen4_turbo = 'gen4_turbo'
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gen3a_turbo = 'gen3a_turbo'
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class RunwayDurationEnum(int, Enum):
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integer_5 = 5
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integer_10 = 10
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class RunwayImageToVideoRequest(BaseModel):
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duration: RunwayDurationEnum
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model: RunwayModelEnum
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promptImage: RunwayPromptImageObject
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promptText: Optional[str] = Field(
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None, description='Text prompt for the generation', max_length=1000
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)
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ratio: RunwayAspectRatioEnum
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seed: int = Field(
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..., description='Random seed for generation', ge=0, le=4294967295
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)
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class RunwayImageToVideoResponse(BaseModel):
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id: Optional[str] = Field(None, description='Task ID')
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class RunwayTaskStatusEnum(str, Enum):
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SUCCEEDED = 'SUCCEEDED'
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RUNNING = 'RUNNING'
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FAILED = 'FAILED'
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PENDING = 'PENDING'
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CANCELLED = 'CANCELLED'
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THROTTLED = 'THROTTLED'
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class RunwayTaskStatusResponse(BaseModel):
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createdAt: datetime = Field(..., description='Task creation timestamp')
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id: str = Field(..., description='Task ID')
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output: Optional[List[str]] = Field(None, description='Array of output video URLs')
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progress: Optional[float] = Field(
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None,
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description='Float value between 0 and 1 representing the progress of the task. Only available if status is RUNNING.',
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ge=0.0,
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le=1.0,
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)
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status: RunwayTaskStatusEnum
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class Model4(str, Enum):
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gen4_image = 'gen4_image'
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class ReferenceImage(BaseModel):
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uri: Optional[str] = Field(
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None, description='A HTTPS URL or data URI containing an encoded image'
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)
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class RunwayTextToImageAspectRatioEnum(str, Enum):
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field_1920_1080 = '1920:1080'
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field_1080_1920 = '1080:1920'
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field_1024_1024 = '1024:1024'
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field_1360_768 = '1360:768'
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field_1080_1080 = '1080:1080'
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field_1168_880 = '1168:880'
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field_1440_1080 = '1440:1080'
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field_1080_1440 = '1080:1440'
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field_1808_768 = '1808:768'
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field_2112_912 = '2112:912'
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class RunwayTextToImageRequest(BaseModel):
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model: Model4 = Field(..., description='Model to use for generation')
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promptText: str = Field(
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..., description='Text prompt for the image generation', max_length=1000
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)
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ratio: RunwayTextToImageAspectRatioEnum
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referenceImages: Optional[List[ReferenceImage]] = Field(
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None, description='Array of reference images to guide the generation'
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)
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class RunwayTextToImageResponse(BaseModel):
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id: Optional[str] = Field(None, description='Task ID')
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