ComfyUI/comfy_api_nodes/apis/__init__.py

# generated by datamodel-codegen:
#   filename:  filtered-openapi.yaml
#   timestamp: 2025-04-29T23:44:54+00:00

from __future__ import annotations

from datetime import datetime
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Union
from uuid import UUID

from pydantic import AnyUrl, BaseModel, Field, RootModel


class BFLFluxProGenerateRequest(BaseModel):
    guidance_scale: Optional[float] = Field(
        None, description='The guidance scale for generation.', ge=1.0, le=20.0
    )
    height: int = Field(
        ..., description='The height of the image to generate.', ge=64, le=2048
    )
    negative_prompt: Optional[str] = Field(
        None, description='The negative prompt for image generation.'
    )
    num_images: Optional[int] = Field(
        None, description='The number of images to generate.', ge=1, le=4
    )
    num_inference_steps: Optional[int] = Field(
        None, description='The number of inference steps.', ge=1, le=100
    )
    prompt: str = Field(..., description='The text prompt for image generation.')
    seed: Optional[int] = Field(None, description='The seed value for reproducibility.')
    width: int = Field(
        ..., description='The width of the image to generate.', ge=64, le=2048
    )


class BFLFluxProGenerateResponse(BaseModel):
    id: str = Field(..., description='The unique identifier for the generation task.')
    polling_url: str = Field(..., description='URL to poll for the generation result.')


class Customer(BaseModel):
    createdAt: Optional[datetime] = Field(
        None, description='The date and time the user was created'
    )
    email: Optional[str] = Field(None, description='The email address for this user')
    id: str = Field(..., description='The firebase UID of the user')
    name: Optional[str] = Field(None, description='The name for this user')
    updatedAt: Optional[datetime] = Field(
        None, description='The date and time the user was last updated'
    )


class CustomerStorageResourceResponse(BaseModel):
    download_url: Optional[str] = Field(
        None,
        description='The signed URL to use for downloading the file from the specified path',
    )
    existing_file: Optional[bool] = Field(
        None, description='Whether an existing file with the same hash was found'
    )
    expires_at: Optional[datetime] = Field(
        None, description='When the signed URL will expire'
    )
    upload_url: Optional[str] = Field(
        None,
        description='The signed URL to use for uploading the file to the specified path',
    )


class ErrorResponse(BaseModel):
    error: str
    message: str


class ImageRequest(BaseModel):
    aspect_ratio: Optional[str] = Field(
        None,
        description="Optional. The aspect ratio (e.g., 'ASPECT_16_9', 'ASPECT_1_1'). Cannot be used with resolution. Defaults to 'ASPECT_1_1' if unspecified.",
    )
    color_palette: Optional[Dict[str, Any]] = Field(
        None, description='Optional. Color palette object. Only for V_2, V_2_TURBO.'
    )
    magic_prompt_option: Optional[str] = Field(
        None, description="Optional. MagicPrompt usage ('AUTO', 'ON', 'OFF')."
    )
    model: str = Field(..., description="The model used (e.g., 'V_2', 'V_2A_TURBO')")
    negative_prompt: Optional[str] = Field(
        None,
        description='Optional. Description of what to exclude. Only for V_1, V_1_TURBO, V_2, V_2_TURBO.',
    )
    num_images: Optional[int] = Field(
        1,
        description='Optional. Number of images to generate (1-8). Defaults to 1.',
        ge=1,
        le=8,
    )
    prompt: str = Field(
        ..., description='Required. The prompt to use to generate the image.'
    )
    resolution: Optional[str] = Field(
        None,
        description="Optional. Resolution (e.g., 'RESOLUTION_1024_1024'). Only for model V_2. Cannot be used with aspect_ratio.",
    )
    seed: Optional[int] = Field(
        None,
        description='Optional. A number between 0 and 2147483647.',
        ge=0,
        le=2147483647,
    )
    style_type: Optional[str] = Field(
        None,
        description="Optional. Style type ('AUTO', 'GENERAL', 'REALISTIC', 'DESIGN', 'RENDER_3D', 'ANIME'). Only for models V_2 and above.",
    )


class IdeogramGenerateRequest(BaseModel):
    image_request: ImageRequest = Field(
        ..., description='The image generation request parameters.'
    )


class Datum(BaseModel):
    is_image_safe: Optional[bool] = Field(
        None, description='Indicates whether the image is considered safe.'
    )
    prompt: Optional[str] = Field(
        None, description='The prompt used to generate this image.'
    )
    resolution: Optional[str] = Field(
        None, description="The resolution of the generated image (e.g., '1024x1024')."
    )
    seed: Optional[int] = Field(
        None, description='The seed value used for this generation.'
    )
    style_type: Optional[str] = Field(
        None,
        description="The style type used for generation (e.g., 'REALISTIC', 'ANIME').",
    )
    url: Optional[str] = Field(None, description='URL to the generated image.')


class IdeogramGenerateResponse(BaseModel):
    created: Optional[datetime] = Field(
        None, description='Timestamp when the generation was created.'
    )
    data: Optional[List[Datum]] = Field(
        None, description='Array of generated image information.'
    )


class Duration(str, Enum):
    field_5 = '5'
    field_10 = '10'


class Mode(str, Enum):
    std = 'std'
    pro = 'pro'


class ModelName(str, Enum):
    kling_v1 = 'kling-v1'
    kling_v1_5 = 'kling-v1-5'
    kling_v1_6 = 'kling-v1-6'


class KlingDualCharacterEffectInput(BaseModel):
    duration: Duration = Field(
        ...,
        description='Video Length in seconds. Both 5 and 10-second videos are supported.',
    )
    images: List[str] = Field(
        ...,
        description='Reference Image Group. Must contain exactly 2 images. First image will be positioned on left side, second on right side of the composite. Each image follows the same requirements as single image effects.',
        max_length=2,
        min_length=2,
    )
    mode: Optional[Mode] = Field(
        'std',
        description='Video generation mode. std (Standard Mode) is cost-effective, pro (Professional Mode) generates videos with longer duration and higher quality.',
    )
    model_name: Optional[ModelName] = Field(
        'kling-v1',
        description='Model Name. Can be kling-v1, kling-v1-5, or kling-v1-6.',
    )


class KlingErrorResponse(BaseModel):
    code: int = Field(
        ...,
        description='- 1000: Authentication failed\n- 1001: Authorization is empty\n- 1002: Authorization is invalid\n- 1003: Authorization is not yet valid\n- 1004: Authorization has expired\n- 1100: Account exception\n- 1101: Account in arrears (postpaid scenario)\n- 1102: Resource pack depleted or expired (prepaid scenario)\n- 1103: Unauthorized access to requested resource\n- 1200: Invalid request parameters\n- 1201: Invalid parameters\n- 1202: Invalid request method\n- 1203: Requested resource does not exist\n- 1300: Trigger platform strategy\n- 1301: Trigger content security policy\n- 1302: API request too frequent\n- 1303: Concurrency/QPS exceeds limit\n- 1304: Trigger IP whitelist policy\n- 5000: Internal server error\n- 5001: Service temporarily unavailable\n- 5002: Server internal timeout\n',
    )
    message: str = Field(..., description='Human-readable error message')
    request_id: str = Field(
        ..., description='Request ID for tracking and troubleshooting'
    )


class AspectRatio(str, Enum):
    field_16_9 = '16:9'
    field_9_16 = '9:16'
    field_1_1 = '1:1'


class Config(BaseModel):
    horizontal: Optional[float] = Field(
        None,
        description="Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right.",
        ge=-10.0,
        le=10.0,
    )
    pan: Optional[float] = Field(
        None,
        description="Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation.",
        ge=-10.0,
        le=10.0,
    )
    roll: Optional[float] = Field(
        None,
        description="Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise.",
        ge=-10.0,
        le=10.0,
    )
    tilt: Optional[float] = Field(
        None,
        description="Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation.",
        ge=-10.0,
        le=10.0,
    )
    vertical: Optional[float] = Field(
        None,
        description="Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward.",
        ge=-10.0,
        le=10.0,
    )
    zoom: Optional[float] = Field(
        None,
        description="Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view.",
        ge=-10.0,
        le=10.0,
    )


class Type(str, Enum):
    simple = 'simple'
    down_back = 'down_back'
    forward_up = 'forward_up'
    right_turn_forward = 'right_turn_forward'
    left_turn_forward = 'left_turn_forward'


class CameraControl(BaseModel):
    config: Optional[Config] = None
    type: Optional[Type] = Field(
        None,
        description='Predefined camera movements type. simple: Customizable camera movement. down_back: Camera descends and moves backward. forward_up: Camera moves forward and tilts up. right_turn_forward: Rotate right and move forward. left_turn_forward: Rotate left and move forward.',
    )


class Trajectory(BaseModel):
    x: Optional[int] = Field(
        None,
        description='The horizontal coordinate of trajectory point. Based on bottom-left corner of image as origin (0,0).',
    )
    y: Optional[int] = Field(
        None,
        description='The vertical coordinate of trajectory point. Based on bottom-left corner of image as origin (0,0).',
    )


class DynamicMask(BaseModel):
    mask: Optional[AnyUrl] = Field(
        None,
        description='Dynamic Brush Application Area (Mask image created by users using the motion brush). The aspect ratio must match the input image.',
    )
    trajectories: Optional[List[Trajectory]] = None


class KlingImage2VideoRequest(BaseModel):
    aspect_ratio: Optional[AspectRatio] = '16:9'
    callback_url: Optional[AnyUrl] = Field(
        None,
        description='The callback notification address. Server will notify when the task status changes.',
    )
    camera_control: Optional[CameraControl] = None
    cfg_scale: Optional[float] = Field(
        0.5,
        description="Flexibility in video generation. The higher the value, the lower the model's degree of flexibility, and the stronger the relevance to the user's prompt.",
        ge=0.0,
        le=1.0,
    )
    duration: Optional[Duration] = Field('5', description='Video length in seconds')
    dynamic_masks: Optional[List[DynamicMask]] = Field(
        None,
        description='Dynamic Brush Configuration List (up to 6 groups). For 5-second videos, trajectory length must not exceed 77 coordinates.',
    )
    external_task_id: Optional[str] = Field(
        None,
        description='Customized Task ID. Must be unique within a single user account.',
    )
    image: Optional[str] = Field(
        None,
        description='Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix.',
    )
    image_tail: Optional[str] = Field(
        None,
        description='Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix.',
    )
    mode: Optional[Mode] = Field(
        'std',
        description='Video generation mode. std: Standard Mode, which is cost-effective. pro: Professional Mode, generates videos with longer duration but higher quality output.',
    )
    model_name: Optional[ModelName] = Field('kling-v1', description='Model Name')
    negative_prompt: Optional[str] = Field(
        None, description='Negative text prompt', max_length=2500
    )
    prompt: Optional[str] = Field(
        None, description='Positive text prompt', max_length=2500
    )
    static_mask: Optional[AnyUrl] = Field(
        None,
        description='Static Brush Application Area (Mask image created by users using the motion brush). The aspect ratio must match the input image.',
    )


class TaskInfo(BaseModel):
    external_task_id: Optional[str] = None


class Video(BaseModel):
    duration: Optional[str] = Field(None, description='Total video duration')
    id: Optional[str] = Field(None, description='Generated video ID')
    url: Optional[AnyUrl] = Field(None, description='URL for generated video')


class TaskResult(BaseModel):
    videos: Optional[List[Video]] = None


class TaskStatus(str, Enum):
    submitted = 'submitted'
    processing = 'processing'
    succeed = 'succeed'
    failed = 'failed'


class Data(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_info: Optional[TaskInfo] = None
    task_result: Optional[TaskResult] = None
    task_status: Optional[TaskStatus] = None
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingImage2VideoResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class AspectRatio1(str, Enum):
    field_16_9 = '16:9'
    field_9_16 = '9:16'
    field_1_1 = '1:1'
    field_4_3 = '4:3'
    field_3_4 = '3:4'
    field_3_2 = '3:2'
    field_2_3 = '2:3'
    field_21_9 = '21:9'


class ImageReference(str, Enum):
    subject = 'subject'
    face = 'face'


class ModelName2(str, Enum):
    kling_v1 = 'kling-v1'
    kling_v1_5 = 'kling-v1-5'


class KlingImageGenerationsRequest(BaseModel):
    aspect_ratio: Optional[AspectRatio1] = Field(
        '16:9', description='Aspect ratio of the generated images'
    )
    callback_url: Optional[AnyUrl] = Field(
        None, description='The callback notification address'
    )
    human_fidelity: Optional[float] = Field(
        0.45, description='Subject reference similarity', ge=0.0, le=1.0
    )
    image: Optional[str] = Field(
        None, description='Reference Image - Base64 encoded string or image URL'
    )
    image_fidelity: Optional[float] = Field(
        0.5, description='Reference intensity for user-uploaded images', ge=0.0, le=1.0
    )
    image_reference: Optional[ImageReference] = Field(
        None, description='Image reference type'
    )
    model_name: Optional[ModelName2] = Field('kling-v1', description='Model Name')
    n: Optional[int] = Field(1, description='Number of generated images', ge=1, le=9)
    negative_prompt: Optional[str] = Field(
        None, description='Negative text prompt', max_length=200
    )
    prompt: str = Field(..., description='Positive text prompt', max_length=500)


class Image(BaseModel):
    index: Optional[int] = Field(None, description='Image Number (0-9)')
    url: Optional[AnyUrl] = Field(None, description='URL for generated image')


class TaskResult1(BaseModel):
    images: Optional[List[Image]] = None


class Data1(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_result: Optional[TaskResult1] = None
    task_status: Optional[TaskStatus] = None
    task_status_msg: Optional[str] = Field(None, description='Task status information')
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingImageGenerationsResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data1] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class AudioType(str, Enum):
    file = 'file'
    url = 'url'


class Mode2(str, Enum):
    text2video = 'text2video'
    audio2video = 'audio2video'


class VoiceLanguage(str, Enum):
    zh = 'zh'
    en = 'en'


class Input(BaseModel):
    audio_file: Optional[str] = Field(
        None,
        description='Local Path of Audio File. Supported formats: .mp3/.wav/.m4a/.aac, maximum file size of 5MB. Base64 code.',
    )
    audio_type: Optional[AudioType] = Field(
        None,
        description='Method of Transmitting Audio Files for Lip-Sync. Required when mode is audio2video.',
    )
    audio_url: Optional[AnyUrl] = Field(
        None,
        description='Audio File Download URL. Supported formats: .mp3/.wav/.m4a/.aac, maximum file size of 5MB.',
    )
    mode: Mode2 = Field(
        ...,
        description='Video Generation Mode. text2video: Text-to-video generation mode; audio2video: Audio-to-video generation mode',
    )
    text: Optional[str] = Field(
        None,
        description='Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters.',
    )
    video_id: Optional[str] = Field(
        None,
        description='The ID of the video generated by Kling AI. Only supports 5-second and 10-second videos generated within the last 30 days.',
    )
    video_url: Optional[AnyUrl] = Field(
        None,
        description='Get link for uploaded video. Video files support .mp4/.mov, file size does not exceed 100MB, video length between 2-10s.',
    )
    voice_id: Optional[str] = Field(
        None,
        description='Voice ID. Required when mode is text2video. The system offers a variety of voice options to choose from.',
    )
    voice_language: Optional[VoiceLanguage] = Field(
        'zh', description='The voice language corresponds to the Voice ID.'
    )
    voice_speed: Optional[float] = Field(
        1,
        description='Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place.',
        ge=0.8,
        le=2.0,
    )


class KlingLipSyncRequest(BaseModel):
    callback_url: Optional[AnyUrl] = Field(
        None,
        description='The callback notification address. Server will notify when the task status changes.',
    )
    input: Input


class TaskResult2(BaseModel):
    videos: Optional[List[Video]] = None


class Data2(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_info: Optional[TaskInfo] = None
    task_result: Optional[TaskResult2] = None
    task_status: Optional[TaskStatus] = None
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingLipSyncResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data2] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class ResourcePackType(str, Enum):
    decreasing_total = 'decreasing_total'
    constant_period = 'constant_period'


class Status(str, Enum):
    toBeOnline = 'toBeOnline'
    online = 'online'
    expired = 'expired'
    runOut = 'runOut'


class ResourcePackSubscribeInfo(BaseModel):
    effective_time: Optional[int] = Field(
        None, description='Effective time, Unix timestamp in ms'
    )
    invalid_time: Optional[int] = Field(
        None, description='Expiration time, Unix timestamp in ms'
    )
    purchase_time: Optional[int] = Field(
        None, description='Purchase time, Unix timestamp in ms'
    )
    remaining_quantity: Optional[float] = Field(
        None, description='Remaining quantity (updated with a 12-hour delay)'
    )
    resource_pack_id: Optional[str] = Field(None, description='Resource package ID')
    resource_pack_name: Optional[str] = Field(None, description='Resource package name')
    resource_pack_type: Optional[ResourcePackType] = Field(
        None,
        description='Resource package type (decreasing_total=decreasing total, constant_period=constant periodicity)',
    )
    status: Optional[Status] = Field(None, description='Resource Package Status')
    total_quantity: Optional[float] = Field(None, description='Total quantity')


class Data3(BaseModel):
    code: Optional[int] = Field(None, description='Error code; 0 indicates success')
    msg: Optional[str] = Field(None, description='Error information')
    resource_pack_subscribe_infos: Optional[List[ResourcePackSubscribeInfo]] = Field(
        None, description='Resource package list'
    )


class KlingResourcePackageResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code; 0 indicates success')
    data: Optional[Data3] = None
    message: Optional[str] = Field(None, description='Error information')
    request_id: Optional[str] = Field(
        None,
        description='Request ID, generated by the system, used to track requests and troubleshoot problems',
    )


class Duration2(str, Enum):
    field_5 = '5'


class ModelName3(str, Enum):
    kling_v1_6 = 'kling-v1-6'


class KlingSingleImageEffectInput(BaseModel):
    duration: Duration2 = Field(
        ..., description='Video Length in seconds. Only 5-second videos are supported.'
    )
    image: str = Field(
        ...,
        description='Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1.',
    )
    model_name: ModelName3 = Field(
        ...,
        description='Model Name. Only kling-v1-6 is supported for single image effects.',
    )


class AspectRatio2(str, Enum):
    field_16_9 = '16:9'
    field_9_16 = '9:16'
    field_1_1 = '1:1'


class Config1(BaseModel):
    horizontal: Optional[float] = Field(None, ge=-10.0, le=10.0)
    pan: Optional[float] = Field(None, ge=-10.0, le=10.0)
    roll: Optional[float] = Field(None, ge=-10.0, le=10.0)
    tilt: Optional[float] = Field(None, ge=-10.0, le=10.0)
    vertical: Optional[float] = Field(None, ge=-10.0, le=10.0)
    zoom: Optional[float] = Field(None, ge=-10.0, le=10.0)


class CameraControl1(BaseModel):
    config: Optional[Config1] = None
    type: Optional[Type] = Field(None, description='Predefined camera movements type')


class Duration3(str, Enum):
    field_5 = '5'
    field_10 = '10'


class Mode3(str, Enum):
    std = 'std'
    pro = 'pro'


class ModelName4(str, Enum):
    kling_v1 = 'kling-v1'
    kling_v1_6 = 'kling-v1-6'


class KlingText2VideoRequest(BaseModel):
    aspect_ratio: Optional[AspectRatio2] = '16:9'
    callback_url: Optional[AnyUrl] = Field(
        None, description='The callback notification address'
    )
    camera_control: Optional[CameraControl1] = None
    cfg_scale: Optional[float] = Field(
        0.5, description='Flexibility in video generation', ge=0.0, le=1.0
    )
    duration: Optional[Duration3] = '5'
    external_task_id: Optional[str] = Field(None, description='Customized Task ID')
    mode: Optional[Mode3] = Field('std', description='Video generation mode')
    model_name: Optional[ModelName4] = Field('kling-v1', description='Model Name')
    negative_prompt: Optional[str] = Field(
        None, description='Negative text prompt', max_length=2500
    )
    prompt: Optional[str] = Field(
        None, description='Positive text prompt', max_length=2500
    )


class TaskResult3(BaseModel):
    videos: Optional[List[Video]] = None


class Data4(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_info: Optional[TaskInfo] = None
    task_result: Optional[TaskResult3] = None
    task_status: Optional[TaskStatus] = None
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingText2VideoResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data4] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class KlingVideoEffectsInput(
    RootModel[Union[KlingSingleImageEffectInput, KlingDualCharacterEffectInput]]
):
    root: Union[KlingSingleImageEffectInput, KlingDualCharacterEffectInput]


class EffectScene(str, Enum):
    bloombloom = 'bloombloom'
    dizzydizzy = 'dizzydizzy'
    fuzzyfuzzy = 'fuzzyfuzzy'
    squish = 'squish'
    expansion = 'expansion'
    hug = 'hug'
    kiss = 'kiss'
    heart_gesture = 'heart_gesture'


class KlingVideoEffectsRequest(BaseModel):
    callback_url: Optional[AnyUrl] = Field(
        None,
        description='The callback notification address for the result of this task.',
    )
    effect_scene: EffectScene = Field(
        ...,
        description='Scene Name. Single Image Effects (bloombloom, dizzydizzy, fuzzyfuzzy, squish, expansion) or Dual-character Effects (hug, kiss, heart_gesture).',
    )
    external_task_id: Optional[str] = Field(
        None,
        description='Customized Task ID. Must be unique within a single user account.',
    )
    input: Optional[KlingVideoEffectsInput] = None


class TaskResult4(BaseModel):
    videos: Optional[List[Video]] = None


class Data5(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_info: Optional[TaskInfo] = None
    task_result: Optional[TaskResult4] = None
    task_status: Optional[TaskStatus] = None
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingVideoEffectsResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data5] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class KlingVideoExtendRequest(BaseModel):
    callback_url: Optional[AnyUrl] = Field(
        None,
        description='The callback notification address. Server will notify when the task status changes.',
    )
    cfg_scale: Optional[float] = Field(
        0.5,
        description="Flexibility in video generation. The higher the value, the lower the model's flexibility and the stronger the relevance to the user's prompt.",
        ge=0.0,
        le=1.0,
    )
    negative_prompt: Optional[str] = Field(
        None,
        description='Negative text prompt for elements to avoid in the extended video',
        max_length=2500,
    )
    prompt: Optional[str] = Field(
        None,
        description='Positive text prompt for guiding the video extension',
        max_length=2500,
    )
    video_id: Optional[str] = Field(
        None,
        description='The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension.',
    )


class TaskResult5(BaseModel):
    videos: Optional[List[Video]] = None


class Data6(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_info: Optional[TaskInfo] = None
    task_result: Optional[TaskResult5] = None
    task_status: Optional[TaskStatus] = None
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingVideoExtendResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data6] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class ModelName5(str, Enum):
    kolors_virtual_try_on_v1 = 'kolors-virtual-try-on-v1'
    kolors_virtual_try_on_v1_5 = 'kolors-virtual-try-on-v1-5'


class KlingVirtualTryOnRequest(BaseModel):
    callback_url: Optional[AnyUrl] = Field(
        None, description='The callback notification address'
    )
    cloth_image: Optional[str] = Field(
        None,
        description='Reference clothing image - Base64 encoded string or image URL',
    )
    human_image: str = Field(
        ..., description='Reference human image - Base64 encoded string or image URL'
    )
    model_name: Optional[ModelName5] = Field(
        'kolors-virtual-try-on-v1', description='Model Name'
    )


class Image1(BaseModel):
    index: Optional[int] = Field(None, description='Image Number')
    url: Optional[AnyUrl] = Field(None, description='URL for generated image')


class TaskResult6(BaseModel):
    images: Optional[List[Image1]] = None


class Data7(BaseModel):
    created_at: Optional[int] = Field(None, description='Task creation time')
    task_id: Optional[str] = Field(None, description='Task ID')
    task_result: Optional[TaskResult6] = None
    task_status: Optional[TaskStatus] = None
    task_status_msg: Optional[str] = Field(None, description='Task status information')
    updated_at: Optional[int] = Field(None, description='Task update time')


class KlingVirtualTryOnResponse(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    data: Optional[Data7] = None
    message: Optional[str] = Field(None, description='Error message')
    request_id: Optional[str] = Field(None, description='Request ID')


class LumaAspectRatio(str, Enum):
    field_1_1 = '1:1'
    field_16_9 = '16:9'
    field_9_16 = '9:16'
    field_4_3 = '4:3'
    field_3_4 = '3:4'
    field_21_9 = '21:9'
    field_9_21 = '9:21'


class LumaAssets(BaseModel):
    image: Optional[AnyUrl] = Field(None, description='The URL of the image')
    progress_video: Optional[AnyUrl] = Field(
        None, description='The URL of the progress video'
    )
    video: Optional[AnyUrl] = Field(None, description='The URL of the video')


class GenerationType(str, Enum):
    add_audio = 'add_audio'


class LumaAudioGenerationRequest(BaseModel):
    callback_url: Optional[AnyUrl] = Field(
        None, description='The callback URL for the audio'
    )
    generation_type: Optional[GenerationType] = 'add_audio'
    negative_prompt: Optional[str] = Field(
        None, description='The negative prompt of the audio'
    )
    prompt: Optional[str] = Field(None, description='The prompt of the audio')


class LumaError(BaseModel):
    detail: Optional[str] = Field(None, description='The error message')


class Type2(str, Enum):
    generation = 'generation'


class LumaGenerationReference(BaseModel):
    id: UUID = Field(..., description='The ID of the generation')
    type: Literal['generation']


class GenerationType1(str, Enum):
    video = 'video'


class LumaGenerationType(str, Enum):
    video = 'video'
    image = 'image'


class GenerationType2(str, Enum):
    image = 'image'


class LumaImageIdentity(BaseModel):
    images: Optional[List[AnyUrl]] = Field(
        None, description='The URLs of the image identity'
    )


class LumaImageModel(str, Enum):
    photon_1 = 'photon-1'
    photon_flash_1 = 'photon-flash-1'


class LumaImageRef(BaseModel):
    url: Optional[AnyUrl] = Field(None, description='The URL of the image reference')
    weight: Optional[float] = Field(
        None, description='The weight of the image reference'
    )


class Type3(str, Enum):
    image = 'image'


class LumaImageReference(BaseModel):
    type: Literal['image']
    url: AnyUrl = Field(..., description='The URL of the image')


class LumaKeyframe(RootModel[Union[LumaGenerationReference, LumaImageReference]]):
    root: Union[LumaGenerationReference, LumaImageReference] = Field(
        ...,
        description='A keyframe can be either a Generation reference, an Image, or a Video',
        discriminator='type',
    )


class LumaKeyframes(BaseModel):
    frame0: Optional[LumaKeyframe] = None
    frame1: Optional[LumaKeyframe] = None


class LumaModifyImageRef(BaseModel):
    url: Optional[AnyUrl] = Field(None, description='The URL of the image reference')
    weight: Optional[float] = Field(
        None, description='The weight of the modify image reference'
    )


class LumaState(str, Enum):
    queued = 'queued'
    dreaming = 'dreaming'
    completed = 'completed'
    failed = 'failed'


class GenerationType3(str, Enum):
    upscale_video = 'upscale_video'


class LumaVideoModel(str, Enum):
    ray_2 = 'ray-2'
    ray_2_flash = 'ray-2-flash'


class LumaVideoModelOutputDuration1(str, Enum):
    field_5s = '5s'
    field_9s = '9s'


class LumaVideoModelOutputDuration(
    RootModel[Union[LumaVideoModelOutputDuration1, str]]
):
    root: Union[LumaVideoModelOutputDuration1, str]


class LumaVideoModelOutputResolution1(str, Enum):
    field_540p = '540p'
    field_720p = '720p'
    field_1080p = '1080p'
    field_4k = '4k'


class LumaVideoModelOutputResolution(
    RootModel[Union[LumaVideoModelOutputResolution1, str]]
):
    root: Union[LumaVideoModelOutputResolution1, str]


class MinimaxBaseResponse(BaseModel):
    status_code: int = Field(
        ...,
        description='Status code. 0 indicates success, other values indicate errors.',
    )
    status_msg: str = Field(
        ..., description='Specific error details or success message.'
    )


class File(BaseModel):
    bytes: Optional[int] = Field(None, description='File size in bytes')
    created_at: Optional[int] = Field(
        None, description='Unix timestamp when the file was created, in seconds'
    )
    download_url: Optional[str] = Field(
        None, description='The URL to download the video'
    )
    file_id: Optional[int] = Field(None, description='Unique identifier for the file')
    filename: Optional[str] = Field(None, description='The name of the file')
    purpose: Optional[str] = Field(None, description='The purpose of using the file')


class MinimaxFileRetrieveResponse(BaseModel):
    base_resp: MinimaxBaseResponse
    file: File


class Status1(str, Enum):
    Queueing = 'Queueing'
    Preparing = 'Preparing'
    Processing = 'Processing'
    Success = 'Success'
    Fail = 'Fail'


class MinimaxTaskResultResponse(BaseModel):
    base_resp: MinimaxBaseResponse
    file_id: Optional[str] = Field(
        None,
        description='After the task status changes to Success, this field returns the file ID corresponding to the generated video.',
    )
    status: Status1 = Field(
        ...,
        description="Task status: 'Queueing' (in queue), 'Preparing' (task is preparing), 'Processing' (generating), 'Success' (task completed successfully), or 'Fail' (task failed).",
    )
    task_id: str = Field(..., description='The task ID being queried.')


class Model(str, Enum):
    T2V_01_Director = 'T2V-01-Director'
    I2V_01_Director = 'I2V-01-Director'
    S2V_01 = 'S2V-01'
    I2V_01 = 'I2V-01'
    I2V_01_live = 'I2V-01-live'
    T2V_01 = 'T2V-01'


class SubjectReferenceItem(BaseModel):
    image: Optional[str] = Field(
        None, description='URL or base64 encoding of the subject reference image.'
    )
    mask: Optional[str] = Field(
        None,
        description='URL or base64 encoding of the mask for the subject reference image.',
    )


class MinimaxVideoGenerationRequest(BaseModel):
    callback_url: Optional[str] = Field(
        None,
        description='Optional. URL to receive real-time status updates about the video generation task.',
    )
    first_frame_image: Optional[str] = Field(
        None,
        description='URL or base64 encoding of the first frame image. Required when model is I2V-01, I2V-01-Director, or I2V-01-live.',
    )
    model: Model = Field(
        ...,
        description='Required. ID of model. Options: T2V-01-Director, I2V-01-Director, S2V-01, I2V-01, I2V-01-live, T2V-01',
    )
    prompt: Optional[str] = Field(
        None,
        description='Description of the video. Should be less than 2000 characters. Supports camera movement instructions in [brackets].',
        max_length=2000,
    )
    prompt_optimizer: Optional[bool] = Field(
        True,
        description='If true (default), the model will automatically optimize the prompt. Set to false for more precise control.',
    )
    subject_reference: Optional[List[SubjectReferenceItem]] = Field(
        None,
        description='Only available when model is S2V-01. The model will generate a video based on the subject uploaded through this parameter.',
    )


class MinimaxVideoGenerationResponse(BaseModel):
    base_resp: MinimaxBaseResponse
    task_id: str = Field(
        ..., description='The task ID for the asynchronous video generation task.'
    )


class Moderation(str, Enum):
    low = 'low'
    auto = 'auto'


class OutputFormat(str, Enum):
    png = 'png'
    webp = 'webp'
    jpeg = 'jpeg'


class OpenAIImageEditRequest(BaseModel):
    background: Optional[str] = Field(
        None, description='Background transparency', examples=['opaque']
    )
    model: str = Field(
        ..., description='The model to use for image editing', examples=['gpt-image-1']
    )
    moderation: Optional[Moderation] = Field(
        None, description='Content moderation setting', examples=['auto']
    )
    n: Optional[int] = Field(
        None, description='The number of images to generate', examples=[1]
    )
    output_compression: Optional[int] = Field(
        None, description='Compression level for JPEG or WebP (0-100)', examples=[100]
    )
    output_format: Optional[OutputFormat] = Field(
        None, description='Format of the output image', examples=['png']
    )
    prompt: str = Field(
        ...,
        description='A text description of the desired edit',
        examples=['Give the rocketship rainbow coloring'],
    )
    quality: Optional[str] = Field(
        None, description='The quality of the edited image', examples=['low']
    )
    size: Optional[str] = Field(
        None, description='Size of the output image', examples=['1024x1024']
    )
    user: Optional[str] = Field(
        None,
        description='A unique identifier for end-user monitoring',
        examples=['user-1234'],
    )


class Background(str, Enum):
    transparent = 'transparent'
    opaque = 'opaque'


class Quality(str, Enum):
    low = 'low'
    medium = 'medium'
    high = 'high'
    standard = 'standard'
    hd = 'hd'


class ResponseFormat(str, Enum):
    url = 'url'
    b64_json = 'b64_json'


class Style(str, Enum):
    vivid = 'vivid'
    natural = 'natural'


class OpenAIImageGenerationRequest(BaseModel):
    background: Optional[Background] = Field(
        None, description='Background transparency', examples=['opaque']
    )
    model: Optional[str] = Field(
        None, description='The model to use for image generation', examples=['dall-e-3']
    )
    moderation: Optional[Moderation] = Field(
        None, description='Content moderation setting', examples=['auto']
    )
    n: Optional[int] = Field(
        None,
        description='The number of images to generate (1-10). Only 1 supported for dall-e-3.',
        examples=[1],
    )
    output_compression: Optional[int] = Field(
        None, description='Compression level for JPEG or WebP (0-100)', examples=[100]
    )
    output_format: Optional[OutputFormat] = Field(
        None, description='Format of the output image', examples=['png']
    )
    prompt: str = Field(
        ...,
        description='A text description of the desired image',
        examples=['Draw a rocket in front of a blackhole in deep space'],
    )
    quality: Optional[Quality] = Field(
        None, description='The quality of the generated image', examples=['high']
    )
    response_format: Optional[ResponseFormat] = Field(
        None, description='Response format of image data', examples=['b64_json']
    )
    size: Optional[str] = Field(
        None,
        description='Size of the image (e.g., 1024x1024, 1536x1024, auto)',
        examples=['1024x1536'],
    )
    style: Optional[Style] = Field(
        None, description='Style of the image (only for dall-e-3)', examples=['vivid']
    )
    user: Optional[str] = Field(
        None,
        description='A unique identifier for end-user monitoring',
        examples=['user-1234'],
    )


class Datum1(BaseModel):
    b64_json: Optional[str] = Field(None, description='Base64 encoded image data')
    revised_prompt: Optional[str] = Field(None, description='Revised prompt')
    url: Optional[str] = Field(None, description='URL of the image')


class InputTokensDetails(BaseModel):
    image_tokens: Optional[int] = None
    text_tokens: Optional[int] = None


class Usage(BaseModel):
    input_tokens: Optional[int] = None
    input_tokens_details: Optional[InputTokensDetails] = None
    output_tokens: Optional[int] = None
    total_tokens: Optional[int] = None


class OpenAIImageGenerationResponse(BaseModel):
    data: Optional[List[Datum1]] = None
    usage: Optional[Usage] = None


class AspectRatio3(RootModel[float]):
    root: float = Field(
        ...,
        description='Aspect ratio (width / height)',
        ge=0.4,
        le=2.5,
        title='Aspectratio',
    )


class IngredientsMode(str, Enum):
    creative = 'creative'
    precise = 'precise'

bytes_aliased = bytes

class PikaBodyGenerate22C2vGenerate22PikascenesPost(BaseModel):
    aspectRatio: Optional[AspectRatio3] = Field(
        None, description='Aspect ratio (width / height)', title='Aspectratio'
    )
    duration: Optional[int] = Field(5, title='Duration')
    images: List[bytes_aliased] = Field(
        ..., description='Array of images to process', title='Images'
    )
    ingredientsMode: IngredientsMode = Field(..., title='Ingredientsmode')
    negativePrompt: Optional[str] = Field(None, title='Negativeprompt')
    promptText: Optional[str] = Field(None, title='Prompttext')
    resolution: Optional[str] = Field('1080p', title='Resolution')
    seed: Optional[int] = Field(None, title='Seed')


class PikaBodyGenerate22I2vGenerate22I2vPost(BaseModel):
    duration: Optional[int] = Field(5, title='Duration')
    image: bytes_aliased = Field(..., title='Image')
    negativePrompt: Optional[str] = Field(None, title='Negativeprompt')
    promptText: Optional[str] = Field(None, title='Prompttext')
    resolution: Optional[str] = Field('1080p', title='Resolution')
    seed: Optional[int] = Field(None, title='Seed')


class PikaBodyGenerate22KeyframeGenerate22PikaframesPost(BaseModel):
    duration: Optional[int] = Field(5, title='Duration')
    keyFrames: List[bytes_aliased] = Field(
        ..., description='Array of keyframe images', title='Keyframes'
    )
    negativePrompt: Optional[str] = Field(None, title='Negativeprompt')
    promptText: str = Field(..., title='Prompttext')
    resolution: Optional[str] = Field('1080p', title='Resolution')
    seed: Optional[int] = Field(None, title='Seed')


class PikaBodyGenerate22T2vGenerate22T2vPost(BaseModel):
    aspectRatio: Optional[AspectRatio3] = Field(
        None, description='Aspect ratio (width / height)', title='Aspectratio'
    )
    duration: Optional[int] = Field(5, title='Duration')
    negativePrompt: Optional[str] = Field(None, title='Negativeprompt')
    promptText: str = Field(..., title='Prompttext')
    resolution: Optional[str] = Field('1080p', title='Resolution')
    seed: Optional[int] = Field(None, title='Seed')


class PikaGenerateResponse(BaseModel):
    video_id: str = Field(..., title='Video Id')


class PikaValidationError(BaseModel):
    loc: List[Union[str, int]] = Field(..., title='Location')
    msg: str = Field(..., title='Message')
    type: str = Field(..., title='Error Type')


class PikaVideoResponse(BaseModel):
    id: str = Field(..., title='Id')
    progress: int = Field(..., title='Progress')
    status: str = Field(..., title='Status')
    url: str = Field(..., title='Url')


class RecraftImageGenerationRequest(BaseModel):
    model: str = Field(
        ..., description='The model to use for generation (e.g., "recraftv3")'
    )
    n: int = Field(..., description='The number of images to generate', ge=1, le=4)
    prompt: str = Field(
        ..., description='The text prompt describing the image to generate'
    )
    size: str = Field(
        ..., description='The size of the generated image (e.g., "1024x1024")'
    )
    style: Optional[str] = Field(
        None,
        description='The style to apply to the generated image (e.g., "digital_illustration")',
    )


class Datum2(BaseModel):
    image_id: Optional[str] = Field(
        None, description='Unique identifier for the generated image'
    )
    url: Optional[str] = Field(None, description='URL to access the generated image')


class RecraftImageGenerationResponse(BaseModel):
    created: int = Field(
        ..., description='Unix timestamp when the generation was created'
    )
    credits: int = Field(..., description='Number of credits used for the generation')
    data: List[Datum2] = Field(..., description='Array of generated image information')


class RunwayAspectRatioEnum(str, Enum):
    field_1280_720 = '1280:720'
    field_720_1280 = '720:1280'
    field_1104_832 = '1104:832'
    field_832_1104 = '832:1104'
    field_960_960 = '960:960'
    field_1584_672 = '1584:672'
    field_1280_768 = '1280:768'
    field_768_1280 = '768:1280'


class RunwayDurationEnum(int, Enum):
    integer_5 = 5
    integer_10 = 10


class RunwayImageToVideoResponse(BaseModel):
    id: Optional[str] = Field(None, description='Task ID')


class RunwayModelEnum(str, Enum):
    gen4_turbo = 'gen4_turbo'
    gen3a_turbo = 'gen3a_turbo'


class Position(str, Enum):
    first = 'first'
    last = 'last'


class RunwayPromptImageDetailedObject(BaseModel):
    position: Position = Field(
        ...,
        description="The position of the image in the output video. 'last' is currently supported for gen3a_turbo only.",
    )
    uri: str = Field(
        ..., description='A HTTPS URL or data URI containing an encoded image.'
    )


class RunwayPromptImageObject(
    RootModel[Union[AnyUrl, List[RunwayPromptImageDetailedObject]]]
):
    root: Union[AnyUrl, List[RunwayPromptImageDetailedObject]] = Field(
        ...,
        description='Image(s) to use for the video generation. Can be a single URI or an array of image objects with positions.',
    )


class RunwayTaskStatusEnum(str, Enum):
    SUCCEEDED = 'SUCCEEDED'
    RUNNING = 'RUNNING'
    FAILED = 'FAILED'
    PENDING = 'PENDING'
    CANCELLED = 'CANCELLED'
    THROTTLED = 'THROTTLED'


class RunwayTaskStatusResponse(BaseModel):
    createdAt: Optional[datetime] = Field(None, description='Task creation timestamp')
    id: Optional[str] = Field(None, description='Task ID')
    output: Optional[List[str]] = Field(None, description='Array of output video URLs')
    status: Optional[RunwayTaskStatusEnum] = None


class Veo2GenVidPollRequest(BaseModel):
    operationName: str = Field(
        ...,
        description='Full operation name (from predict response)',
        examples=[
            'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/OPERATION_ID'
        ],
    )


class Error(BaseModel):
    code: Optional[int] = Field(None, description='Error code')
    message: Optional[str] = Field(None, description='Error message')


class Video5(BaseModel):
    bytesBase64Encoded: Optional[str] = Field(
        None, description='Base64-encoded video content'
    )
    gcsUri: Optional[str] = Field(None, description='Cloud Storage URI of the video')
    mimeType: Optional[str] = Field(None, description='Video MIME type')


class Response(BaseModel):
    field_type: Optional[str] = Field(
        None,
        alias='@type',
        examples=[
            'type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse'
        ],
    )
    raiMediaFilteredCount: Optional[int] = Field(
        None, description='Count of media filtered by responsible AI policies'
    )
    raiMediaFilteredReasons: Optional[List[str]] = Field(
        None, description='Reasons why media was filtered by responsible AI policies'
    )
    videos: Optional[List[Video5]] = None


class Veo2GenVidPollResponse(BaseModel):
    done: Optional[bool] = None
    error: Optional[Error] = Field(
        None, description='Error details if operation failed'
    )
    name: Optional[str] = None
    response: Optional[Response] = Field(
        None, description='The actual prediction response if done is true'
    )


class Image2(BaseModel):
    bytesBase64Encoded: str
    gcsUri: Optional[str] = None
    mimeType: Optional[str] = None


class Image3(BaseModel):
    bytesBase64Encoded: Optional[str] = None
    gcsUri: str
    mimeType: Optional[str] = None


class Instance(BaseModel):
    image: Optional[Union[Image2, Image3]] = Field(
        None, description='Optional image to guide video generation'
    )
    prompt: str = Field(..., description='Text description of the video')


class PersonGeneration(str, Enum):
    ALLOW = 'ALLOW'
    BLOCK = 'BLOCK'


class Parameters(BaseModel):
    aspectRatio: Optional[str] = Field(None, examples=['16:9'])
    durationSeconds: Optional[int] = None
    enhancePrompt: Optional[bool] = None
    negativePrompt: Optional[str] = None
    personGeneration: Optional[PersonGeneration] = None
    sampleCount: Optional[int] = None
    seed: Optional[int] = None
    storageUri: Optional[str] = Field(
        None, description='Optional Cloud Storage URI to upload the video'
    )


class Veo2GenVidRequest(BaseModel):
    instances: Optional[List[Instance]] = None
    parameters: Optional[Parameters] = None


class Veo2GenVidResponse(BaseModel):
    name: str = Field(
        ...,
        description='Operation resource name',
        examples=[
            'projects/PROJECT_ID/locations/us-central1/publishers/google/models/MODEL_ID/operations/a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8'
        ],
    )


class LumaGenerationRequest(BaseModel):
    aspect_ratio: LumaAspectRatio
    callback_url: Optional[AnyUrl] = Field(
        None,
        description='The callback URL of the generation, a POST request with Generation object will be sent to the callback URL when the generation is dreaming, completed, or failed',
    )
    duration: LumaVideoModelOutputDuration
    generation_type: Optional[GenerationType1] = 'video'
    keyframes: Optional[LumaKeyframes] = None
    loop: Optional[bool] = Field(None, description='Whether to loop the video')
    model: LumaVideoModel
    prompt: str = Field(..., description='The prompt of the generation')
    resolution: LumaVideoModelOutputResolution


class CharacterRef(BaseModel):
    identity0: Optional[LumaImageIdentity] = None


class LumaImageGenerationRequest(BaseModel):
    aspect_ratio: Optional[LumaAspectRatio] = '16:9'
    callback_url: Optional[AnyUrl] = Field(
        None, description='The callback URL for the generation'
    )
    character_ref: Optional[CharacterRef] = None
    generation_type: Optional[GenerationType2] = 'image'
    image_ref: Optional[List[LumaImageRef]] = None
    model: Optional[LumaImageModel] = 'photon-1'
    modify_image_ref: Optional[LumaModifyImageRef] = None
    prompt: Optional[str] = Field(None, description='The prompt of the generation')
    style_ref: Optional[List[LumaImageRef]] = None


class LumaUpscaleVideoGenerationRequest(BaseModel):
    callback_url: Optional[AnyUrl] = Field(
        None, description='The callback URL for the upscale'
    )
    generation_type: Optional[GenerationType3] = 'upscale_video'
    resolution: Optional[LumaVideoModelOutputResolution] = None


class PikaHTTPValidationError(BaseModel):
    detail: Optional[List[PikaValidationError]] = Field(None, title='Detail')


class RunwayImageToVideoRequest(BaseModel):
    duration: RunwayDurationEnum
    model: RunwayModelEnum
    promptImage: RunwayPromptImageObject
    promptText: Optional[str] = Field(
        None, description='Text prompt for the generation', max_length=1000
    )
    ratio: RunwayAspectRatioEnum
    seed: int = Field(
        ..., description='Random seed for generation', ge=0, le=4294967295
    )


class LumaGeneration(BaseModel):
    assets: Optional[LumaAssets] = None
    created_at: Optional[datetime] = Field(
        None, description='The date and time when the generation was created'
    )
    failure_reason: Optional[str] = Field(
        None, description='The reason for the state of the generation'
    )
    generation_type: Optional[LumaGenerationType] = None
    id: Optional[UUID] = Field(None, description='The ID of the generation')
    model: Optional[str] = Field(None, description='The model used for the generation')
    request: Optional[
        Union[
            LumaGenerationRequest,
            LumaImageGenerationRequest,
            LumaUpscaleVideoGenerationRequest,
            LumaAudioGenerationRequest,
        ]
    ] = Field(None, description='The request of the generation')
    state: Optional[LumaState] = None