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import logging
import base64
import aiohttp
import torch
from io import BytesIO
from typing import Optional
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io as comfy_io
from comfy_api.input_impl.video_types import VideoFromFile
from comfy_api_nodes.apis import (
VeoGenVidRequest,
VeoGenVidResponse,
VeoGenVidPollRequest,
VeoGenVidPollResponse,
)
from comfy_api_nodes.apis.client import (
ApiEndpoint,
HttpMethod,
SynchronousOperation,
PollingOperation,
)
from comfy_api_nodes.apinode_utils import (
downscale_image_tensor,
tensor_to_base64_string,
)
AVERAGE_DURATION_VIDEO_GEN = 32
def convert_image_to_base64(image: torch.Tensor):
if image is None:
return None
scaled_image = downscale_image_tensor(image, total_pixels=2048*2048)
return tensor_to_base64_string(scaled_image)
def get_video_url_from_response(poll_response: VeoGenVidPollResponse) -> Optional[str]:
if (
poll_response.response
and hasattr(poll_response.response, "videos")
and poll_response.response.videos
and len(poll_response.response.videos) > 0
):
video = poll_response.response.videos[0]
else:
return None
if hasattr(video, "gcsUri") and video.gcsUri:
return str(video.gcsUri)
return None
class VeoVideoGenerationNode(comfy_io.ComfyNode):
"""
Generates videos from text prompts using Google's Veo API.
This node can create videos from text descriptions and optional image inputs,
with control over parameters like aspect ratio, duration, and more.
"""
@classmethod
def define_schema(cls):
return comfy_io.Schema(
node_id="VeoVideoGenerationNode",
display_name="Google Veo 2 Video Generation",
category="api node/video/Veo",
description="Generates videos from text prompts using Google's Veo 2 API",
inputs=[
comfy_io.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Text description of the video",
),
comfy_io.Combo.Input(
"aspect_ratio",
options=["16:9", "9:16"],
default="16:9",
tooltip="Aspect ratio of the output video",
),
comfy_io.String.Input(
"negative_prompt",
multiline=True,
default="",
tooltip="Negative text prompt to guide what to avoid in the video",
optional=True,
),
comfy_io.Int.Input(
"duration_seconds",
default=5,
min=5,
max=8,
step=1,
display_mode=comfy_io.NumberDisplay.number,
tooltip="Duration of the output video in seconds",
optional=True,
),
comfy_io.Boolean.Input(
"enhance_prompt",
default=True,
tooltip="Whether to enhance the prompt with AI assistance",
optional=True,
),
comfy_io.Combo.Input(
"person_generation",
options=["ALLOW", "BLOCK"],
default="ALLOW",
tooltip="Whether to allow generating people in the video",
optional=True,
),
comfy_io.Int.Input(
"seed",
default=0,
min=0,
max=0xFFFFFFFF,
step=1,
display_mode=comfy_io.NumberDisplay.number,
control_after_generate=True,
tooltip="Seed for video generation (0 for random)",
optional=True,
),
comfy_io.Image.Input(
"image",
tooltip="Optional reference image to guide video generation",
optional=True,
),
comfy_io.Combo.Input(
"model",
options=["veo-2.0-generate-001"],
default="veo-2.0-generate-001",
tooltip="Veo 2 model to use for video generation",
optional=True,
),
],
outputs=[
comfy_io.Video.Output(),
],
hidden=[
comfy_io.Hidden.auth_token_comfy_org,
comfy_io.Hidden.api_key_comfy_org,
comfy_io.Hidden.unique_id,
],
is_api_node=True,
)
@classmethod
async def execute(
cls,
prompt,
aspect_ratio="16:9",
negative_prompt="",
duration_seconds=5,
enhance_prompt=True,
person_generation="ALLOW",
seed=0,
image=None,
model="veo-2.0-generate-001",
generate_audio=False,
):
# Prepare the instances for the request
instances = []
instance = {
"prompt": prompt
}
# Add image if provided
if image is not None:
image_base64 = convert_image_to_base64(image)
if image_base64:
instance["image"] = {
"bytesBase64Encoded": image_base64,
"mimeType": "image/png"
}
instances.append(instance)
# Create parameters dictionary
parameters = {
"aspectRatio": aspect_ratio,
"personGeneration": person_generation,
"durationSeconds": duration_seconds,
"enhancePrompt": enhance_prompt,
}
# Add optional parameters if provided
if negative_prompt:
parameters["negativePrompt"] = negative_prompt
if seed > 0:
parameters["seed"] = seed
# Only add generateAudio for Veo 3 models
if "veo-3.0" in model:
parameters["generateAudio"] = generate_audio
auth = {
"auth_token": cls.hidden.auth_token_comfy_org,
"comfy_api_key": cls.hidden.api_key_comfy_org,
}
# Initial request to start video generation
initial_operation = SynchronousOperation(
endpoint=ApiEndpoint(
path=f"/proxy/veo/{model}/generate",
method=HttpMethod.POST,
request_model=VeoGenVidRequest,
response_model=VeoGenVidResponse
),
request=VeoGenVidRequest(
instances=instances,
parameters=parameters
),
auth_kwargs=auth,
)
initial_response = await initial_operation.execute()
operation_name = initial_response.name
logging.info(f"Veo generation started with operation name: {operation_name}")
# Define status extractor function
def status_extractor(response):
# Only return "completed" if the operation is done, regardless of success or failure
# We'll check for errors after polling completes
return "completed" if response.done else "pending"
# Define progress extractor function
def progress_extractor(response):
# Could be enhanced if the API provides progress information
return None
# Define the polling operation
poll_operation = PollingOperation(
poll_endpoint=ApiEndpoint(
path=f"/proxy/veo/{model}/poll",
method=HttpMethod.POST,
request_model=VeoGenVidPollRequest,
response_model=VeoGenVidPollResponse
),
completed_statuses=["completed"],
failed_statuses=[], # No failed statuses, we'll handle errors after polling
status_extractor=status_extractor,
progress_extractor=progress_extractor,
request=VeoGenVidPollRequest(
operationName=operation_name
),
auth_kwargs=auth,
poll_interval=5.0,
result_url_extractor=get_video_url_from_response,
node_id=cls.hidden.unique_id,
estimated_duration=AVERAGE_DURATION_VIDEO_GEN,
)
# Execute the polling operation
poll_response = await poll_operation.execute()
# Now check for errors in the final response
# Check for error in poll response
if hasattr(poll_response, 'error') and poll_response.error:
error_message = f"Veo API error: {poll_response.error.message} (code: {poll_response.error.code})"
logging.error(error_message)
raise Exception(error_message)
# Check for RAI filtered content
if (hasattr(poll_response.response, 'raiMediaFilteredCount') and
poll_response.response.raiMediaFilteredCount > 0):
# Extract reason message if available
if (hasattr(poll_response.response, 'raiMediaFilteredReasons') and
poll_response.response.raiMediaFilteredReasons):
reason = poll_response.response.raiMediaFilteredReasons[0]
error_message = f"Content filtered by Google's Responsible AI practices: {reason} ({poll_response.response.raiMediaFilteredCount} videos filtered.)"
else:
error_message = f"Content filtered by Google's Responsible AI practices ({poll_response.response.raiMediaFilteredCount} videos filtered.)"
logging.error(error_message)
raise Exception(error_message)
# Extract video data
if poll_response.response and hasattr(poll_response.response, 'videos') and poll_response.response.videos and len(poll_response.response.videos) > 0:
video = poll_response.response.videos[0]
# Check if video is provided as base64 or URL
if hasattr(video, 'bytesBase64Encoded') and video.bytesBase64Encoded:
# Decode base64 string to bytes
video_data = base64.b64decode(video.bytesBase64Encoded)
elif hasattr(video, 'gcsUri') and video.gcsUri:
# Download from URL
async with aiohttp.ClientSession() as session:
async with session.get(video.gcsUri) as video_response:
video_data = await video_response.content.read()
else:
raise Exception("Video returned but no data or URL was provided")
else:
raise Exception("Video generation completed but no video was returned")
if not video_data:
raise Exception("No video data was returned")
logging.info("Video generation completed successfully")
# Convert video data to BytesIO object
video_io = BytesIO(video_data)
# Return VideoFromFile object
return comfy_io.NodeOutput(VideoFromFile(video_io))
class Veo3VideoGenerationNode(VeoVideoGenerationNode):
"""
Generates videos from text prompts using Google's Veo 3 API.
Supported models:
- veo-3.0-generate-001
- veo-3.0-fast-generate-001
This node extends the base Veo node with Veo 3 specific features including
audio generation and fixed 8-second duration.
"""
@classmethod
def define_schema(cls):
return comfy_io.Schema(
node_id="Veo3VideoGenerationNode",
display_name="Google Veo 3 Video Generation",
category="api node/video/Veo",
description="Generates videos from text prompts using Google's Veo 3 API",
inputs=[
comfy_io.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Text description of the video",
),
comfy_io.Combo.Input(
"aspect_ratio",
options=["16:9", "9:16"],
default="16:9",
tooltip="Aspect ratio of the output video",
),
comfy_io.String.Input(
"negative_prompt",
multiline=True,
default="",
tooltip="Negative text prompt to guide what to avoid in the video",
optional=True,
),
comfy_io.Int.Input(
"duration_seconds",
default=8,
min=8,
max=8,
step=1,
display_mode=comfy_io.NumberDisplay.number,
tooltip="Duration of the output video in seconds (Veo 3 only supports 8 seconds)",
optional=True,
),
comfy_io.Boolean.Input(
"enhance_prompt",
default=True,
tooltip="Whether to enhance the prompt with AI assistance",
optional=True,
),
comfy_io.Combo.Input(
"person_generation",
options=["ALLOW", "BLOCK"],
default="ALLOW",
tooltip="Whether to allow generating people in the video",
optional=True,
),
comfy_io.Int.Input(
"seed",
default=0,
min=0,
max=0xFFFFFFFF,
step=1,
display_mode=comfy_io.NumberDisplay.number,
control_after_generate=True,
tooltip="Seed for video generation (0 for random)",
optional=True,
),
comfy_io.Image.Input(
"image",
tooltip="Optional reference image to guide video generation",
optional=True,
),
comfy_io.Combo.Input(
"model",
options=["veo-3.0-generate-001", "veo-3.0-fast-generate-001"],
default="veo-3.0-generate-001",
tooltip="Veo 3 model to use for video generation",
optional=True,
),
comfy_io.Boolean.Input(
"generate_audio",
default=False,
tooltip="Generate audio for the video. Supported by all Veo 3 models.",
optional=True,
),
],
outputs=[
comfy_io.Video.Output(),
],
hidden=[
comfy_io.Hidden.auth_token_comfy_org,
comfy_io.Hidden.api_key_comfy_org,
comfy_io.Hidden.unique_id,
],
is_api_node=True,
)
class VeoExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[comfy_io.ComfyNode]]:
return [
VeoVideoGenerationNode,
Veo3VideoGenerationNode,
]
async def comfy_entrypoint() -> VeoExtension:
return VeoExtension()
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