use new API client in Luma and Minimax nodes (#10528)
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120
comfy_api_nodes/apis/minimax_api.py
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120
comfy_api_nodes/apis/minimax_api.py
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from enum import Enum
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from typing import Optional
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from pydantic import BaseModel, Field
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class MinimaxBaseResponse(BaseModel):
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status_code: int = Field(
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...,
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description='Status code. 0 indicates success, other values indicate errors.',
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)
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status_msg: str = Field(
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..., description='Specific error details or success message.'
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)
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class File(BaseModel):
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bytes: Optional[int] = Field(None, description='File size in bytes')
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created_at: Optional[int] = Field(
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None, description='Unix timestamp when the file was created, in seconds'
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)
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download_url: Optional[str] = Field(
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None, description='The URL to download the video'
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)
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backup_download_url: Optional[str] = Field(
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None, description='The backup URL to download the video'
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)
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file_id: Optional[int] = Field(None, description='Unique identifier for the file')
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filename: Optional[str] = Field(None, description='The name of the file')
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purpose: Optional[str] = Field(None, description='The purpose of using the file')
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class MinimaxFileRetrieveResponse(BaseModel):
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base_resp: MinimaxBaseResponse
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file: File
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class MiniMaxModel(str, Enum):
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T2V_01_Director = 'T2V-01-Director'
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I2V_01_Director = 'I2V-01-Director'
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S2V_01 = 'S2V-01'
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I2V_01 = 'I2V-01'
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I2V_01_live = 'I2V-01-live'
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T2V_01 = 'T2V-01'
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Hailuo_02 = 'MiniMax-Hailuo-02'
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class Status6(str, Enum):
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Queueing = 'Queueing'
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Preparing = 'Preparing'
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Processing = 'Processing'
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Success = 'Success'
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Fail = 'Fail'
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class MinimaxTaskResultResponse(BaseModel):
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base_resp: MinimaxBaseResponse
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file_id: Optional[str] = Field(
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None,
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description='After the task status changes to Success, this field returns the file ID corresponding to the generated video.',
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)
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status: Status6 = Field(
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...,
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description="Task status: 'Queueing' (in queue), 'Preparing' (task is preparing), 'Processing' (generating), 'Success' (task completed successfully), or 'Fail' (task failed).",
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)
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task_id: str = Field(..., description='The task ID being queried.')
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class SubjectReferenceItem(BaseModel):
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image: Optional[str] = Field(
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None, description='URL or base64 encoding of the subject reference image.'
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)
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mask: Optional[str] = Field(
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None,
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description='URL or base64 encoding of the mask for the subject reference image.',
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)
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class MinimaxVideoGenerationRequest(BaseModel):
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callback_url: Optional[str] = Field(
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None,
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description='Optional. URL to receive real-time status updates about the video generation task.',
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)
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first_frame_image: Optional[str] = Field(
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None,
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description='URL or base64 encoding of the first frame image. Required when model is I2V-01, I2V-01-Director, or I2V-01-live.',
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)
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model: MiniMaxModel = Field(
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...,
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description='Required. ID of model. Options: T2V-01-Director, I2V-01-Director, S2V-01, I2V-01, I2V-01-live, T2V-01',
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)
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prompt: Optional[str] = Field(
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None,
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description='Description of the video. Should be less than 2000 characters. Supports camera movement instructions in [brackets].',
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max_length=2000,
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)
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prompt_optimizer: Optional[bool] = Field(
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True,
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description='If true (default), the model will automatically optimize the prompt. Set to false for more precise control.',
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)
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subject_reference: Optional[list[SubjectReferenceItem]] = Field(
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None,
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description='Only available when model is S2V-01. The model will generate a video based on the subject uploaded through this parameter.',
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)
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duration: Optional[int] = Field(
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None,
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description="The length of the output video in seconds."
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)
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resolution: Optional[str] = Field(
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None,
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description="The dimensions of the video display. 1080p corresponds to 1920 x 1080 pixels, 768p corresponds to 1366 x 768 pixels."
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)
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class MinimaxVideoGenerationResponse(BaseModel):
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base_resp: MinimaxBaseResponse
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task_id: str = Field(
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..., description='The task ID for the asynchronous video generation task.'
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)
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