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api_nodes: add MinimaxHailuoVideoNode node (#9262)
This commit is contained in:
13
comfy_api_nodes/apis/__init__.py
generated
13
comfy_api_nodes/apis/__init__.py
generated
@@ -1623,13 +1623,14 @@ class MinimaxTaskResultResponse(BaseModel):
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task_id: str = Field(..., description='The task ID being queried.')
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class Model(str, Enum):
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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 SubjectReferenceItem(BaseModel):
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@@ -1651,7 +1652,7 @@ class MinimaxVideoGenerationRequest(BaseModel):
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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: Model = Field(
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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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@@ -1668,6 +1669,14 @@ class MinimaxVideoGenerationRequest(BaseModel):
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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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@@ -1,3 +1,4 @@
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from inspect import cleandoc
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from typing import Union
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import logging
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import torch
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@@ -10,7 +11,7 @@ from comfy_api_nodes.apis import (
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MinimaxFileRetrieveResponse,
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MinimaxTaskResultResponse,
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SubjectReferenceItem,
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Model
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MiniMaxModel
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)
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from comfy_api_nodes.apis.client import (
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ApiEndpoint,
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@@ -84,7 +85,6 @@ class MinimaxTextToVideoNode:
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FUNCTION = "generate_video"
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CATEGORY = "api node/video/MiniMax"
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API_NODE = True
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OUTPUT_NODE = True
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async def generate_video(
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self,
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@@ -121,7 +121,7 @@ class MinimaxTextToVideoNode:
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response_model=MinimaxVideoGenerationResponse,
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),
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request=MinimaxVideoGenerationRequest(
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model=Model(model),
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model=MiniMaxModel(model),
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prompt=prompt_text,
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callback_url=None,
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first_frame_image=image_url,
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@@ -251,7 +251,6 @@ class MinimaxImageToVideoNode(MinimaxTextToVideoNode):
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FUNCTION = "generate_video"
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CATEGORY = "api node/video/MiniMax"
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API_NODE = True
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OUTPUT_NODE = True
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class MinimaxSubjectToVideoNode(MinimaxTextToVideoNode):
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@@ -313,7 +312,181 @@ class MinimaxSubjectToVideoNode(MinimaxTextToVideoNode):
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FUNCTION = "generate_video"
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CATEGORY = "api node/video/MiniMax"
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API_NODE = True
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OUTPUT_NODE = True
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class MinimaxHailuoVideoNode:
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"""Generates videos from prompt, with optional start frame using the new MiniMax Hailuo-02 model."""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"prompt_text": (
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"STRING",
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{
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"multiline": True,
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"default": "",
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"tooltip": "Text prompt to guide the video generation.",
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},
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),
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},
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"optional": {
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"seed": (
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IO.INT,
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{
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"default": 0,
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"min": 0,
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"max": 0xFFFFFFFFFFFFFFFF,
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"control_after_generate": True,
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"tooltip": "The random seed used for creating the noise.",
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},
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),
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"first_frame_image": (
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IO.IMAGE,
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{
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"tooltip": "Optional image to use as the first frame to generate a video."
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},
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),
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"prompt_optimizer": (
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IO.BOOLEAN,
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{
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"tooltip": "Optimize prompt to improve generation quality when needed.",
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"default": True,
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},
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),
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"duration": (
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IO.COMBO,
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{
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"tooltip": "The length of the output video in seconds.",
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"default": 6,
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"options": [6, 10],
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},
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),
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"resolution": (
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IO.COMBO,
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{
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"tooltip": "The dimensions of the video display. "
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"1080p corresponds to 1920 x 1080 pixels, 768p corresponds to 1366 x 768 pixels.",
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"default": "768P",
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"options": ["768P", "1080P"],
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},
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),
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},
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"hidden": {
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"auth_token": "AUTH_TOKEN_COMFY_ORG",
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"comfy_api_key": "API_KEY_COMFY_ORG",
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"unique_id": "UNIQUE_ID",
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},
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}
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RETURN_TYPES = ("VIDEO",)
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DESCRIPTION = cleandoc(__doc__ or "")
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FUNCTION = "generate_video"
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CATEGORY = "api node/video/MiniMax"
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API_NODE = True
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async def generate_video(
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self,
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prompt_text,
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seed=0,
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first_frame_image: torch.Tensor=None, # used for ImageToVideo
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prompt_optimizer=True,
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duration=6,
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resolution="768P",
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model="MiniMax-Hailuo-02",
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unique_id: Union[str, None]=None,
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**kwargs,
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):
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if first_frame_image is None:
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validate_string(prompt_text, field_name="prompt_text")
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if model == "MiniMax-Hailuo-02" and resolution.upper() == "1080P" and duration != 6:
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raise Exception(
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"When model is MiniMax-Hailuo-02 and resolution is 1080P, duration is limited to 6 seconds."
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)
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# upload image, if passed in
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image_url = None
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if first_frame_image is not None:
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image_url = (await upload_images_to_comfyapi(first_frame_image, max_images=1, auth_kwargs=kwargs))[0]
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video_generate_operation = SynchronousOperation(
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endpoint=ApiEndpoint(
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path="/proxy/minimax/video_generation",
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method=HttpMethod.POST,
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request_model=MinimaxVideoGenerationRequest,
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response_model=MinimaxVideoGenerationResponse,
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),
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request=MinimaxVideoGenerationRequest(
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model=MiniMaxModel(model),
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prompt=prompt_text,
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callback_url=None,
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first_frame_image=image_url,
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prompt_optimizer=prompt_optimizer,
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duration=duration,
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resolution=resolution,
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),
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auth_kwargs=kwargs,
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)
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response = await video_generate_operation.execute()
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task_id = response.task_id
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if not task_id:
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raise Exception(f"MiniMax generation failed: {response.base_resp}")
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average_duration = 120 if resolution == "768P" else 240
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video_generate_operation = PollingOperation(
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poll_endpoint=ApiEndpoint(
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path="/proxy/minimax/query/video_generation",
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method=HttpMethod.GET,
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request_model=EmptyRequest,
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response_model=MinimaxTaskResultResponse,
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query_params={"task_id": task_id},
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),
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completed_statuses=["Success"],
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failed_statuses=["Fail"],
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status_extractor=lambda x: x.status.value,
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estimated_duration=average_duration,
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node_id=unique_id,
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auth_kwargs=kwargs,
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)
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task_result = await video_generate_operation.execute()
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file_id = task_result.file_id
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if file_id is None:
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raise Exception("Request was not successful. Missing file ID.")
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file_retrieve_operation = SynchronousOperation(
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endpoint=ApiEndpoint(
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path="/proxy/minimax/files/retrieve",
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method=HttpMethod.GET,
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request_model=EmptyRequest,
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response_model=MinimaxFileRetrieveResponse,
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query_params={"file_id": int(file_id)},
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),
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request=EmptyRequest(),
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auth_kwargs=kwargs,
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)
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file_result = await file_retrieve_operation.execute()
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file_url = file_result.file.download_url
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if file_url is None:
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raise Exception(
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f"No video was found in the response. Full response: {file_result.model_dump()}"
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)
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logging.info(f"Generated video URL: {file_url}")
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if unique_id:
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if hasattr(file_result.file, "backup_download_url"):
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message = f"Result URL: {file_url}\nBackup URL: {file_result.file.backup_download_url}"
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else:
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message = f"Result URL: {file_url}"
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PromptServer.instance.send_progress_text(message, unique_id)
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video_io = await download_url_to_bytesio(file_url)
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if video_io is None:
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error_msg = f"Failed to download video from {file_url}"
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logging.error(error_msg)
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raise Exception(error_msg)
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return (VideoFromFile(video_io),)
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# A dictionary that contains all nodes you want to export with their names
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@@ -322,6 +495,7 @@ NODE_CLASS_MAPPINGS = {
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"MinimaxTextToVideoNode": MinimaxTextToVideoNode,
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"MinimaxImageToVideoNode": MinimaxImageToVideoNode,
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# "MinimaxSubjectToVideoNode": MinimaxSubjectToVideoNode,
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"MinimaxHailuoVideoNode": MinimaxHailuoVideoNode,
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}
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# A dictionary that contains the friendly/humanly readable titles for the nodes
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@@ -329,4 +503,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"MinimaxTextToVideoNode": "MiniMax Text to Video",
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"MinimaxImageToVideoNode": "MiniMax Image to Video",
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"MinimaxSubjectToVideoNode": "MiniMax Subject to Video",
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"MinimaxHailuoVideoNode": "MiniMax Hailuo Video",
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}
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