WARNING: THIS SITE IS A MIRROR OF GITHUB.COM / IT CANNOT LOGIN OR REGISTER ACCOUNTS / THE CONTENTS ARE PROVIDED AS-IS / THIS SITE ASSUMES NO RESPONSIBILITY FOR ANY DISPLAYED CONTENT OR LINKS / IF YOU FOUND SOMETHING MAY NOT GOOD FOR EVERYONE, CONTACT ADMIN AT ilovescratch@foxmail.com
Skip to content

feat(Kling-API-Nodes): add v2-5-turbo model to FirstLastFrame node #10938

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Kosinkadink merged 1 commit into from
Nov 28, 2025
Merged

feat(Kling-API-Nodes): add v2-5-turbo model to FirstLastFrame node #10938

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
60 changes: 26 additions & 34 deletions comfy_api_nodes/nodes_kling.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,6 @@
- [Compatibility Table](https://app.klingai.com/global/dev/document-api/apiReference/model/skillsMap)
"""

from __future__ import annotations
from typing import Optional, TypeVar
import math
import logging

Expand Down Expand Up @@ -66,9 +64,7 @@
poll_op,
)
from comfy_api.input_impl import VideoFromFile
from comfy_api.input.basic_types import AudioInput
from comfy_api.input.video_types import VideoInput
from comfy_api.latest import ComfyExtension, IO
from comfy_api.latest import ComfyExtension, IO, Input

KLING_API_VERSION = "v1"
PATH_TEXT_TO_VIDEO = f"/proxy/kling/{KLING_API_VERSION}/videos/text2video"
Expand All @@ -94,8 +90,6 @@
AVERAGE_DURATION_VIDEO_EFFECTS = 320
AVERAGE_DURATION_VIDEO_EXTEND = 320

R = TypeVar("R")


MODE_TEXT2VIDEO = {
"standard mode / 5s duration / kling-v1": ("std", "5", "kling-v1"),
Expand Down Expand Up @@ -130,6 +124,8 @@
"pro mode / 10s duration / kling-v1-6": ("pro", "10", "kling-v1-6"),
"pro mode / 5s duration / kling-v2-1": ("pro", "5", "kling-v2-1"),
"pro mode / 10s duration / kling-v2-1": ("pro", "10", "kling-v2-1"),
"pro mode / 5s duration / kling-v2-5-turbo": ("pro", "5", "kling-v2-5-turbo"),
"pro mode / 10s duration / kling-v2-5-turbo": ("pro", "10", "kling-v2-5-turbo"),
}
"""
Returns a mapping of mode strings to their corresponding (mode, duration, model_name) tuples.
Expand Down Expand Up @@ -296,7 +292,7 @@ def get_video_from_response(response) -> KlingVideoResult:
return video


def get_video_url_from_response(response) -> Optional[str]:
def get_video_url_from_response(response) -> str | None:
"""Returns the first video url from the Kling video generation task result.
Will not raise an error if the response is not valid.
"""
Expand All @@ -315,7 +311,7 @@ def get_images_from_response(response) -> list[KlingImageResult]:
return images


def get_images_urls_from_response(response) -> Optional[str]:
def get_images_urls_from_response(response) -> str | None:
"""Returns the list of image urls from the Kling image generation task result.
Will not raise an error if the response is not valid. If there is only one image, returns the url as a string. If there are multiple images, returns a list of urls.
"""
Expand Down Expand Up @@ -349,7 +345,7 @@ async def execute_text2video(
model_mode: str,
duration: str,
aspect_ratio: str,
camera_control: Optional[KlingCameraControl] = None,
camera_control: KlingCameraControl | None = None,
) -> IO.NodeOutput:
validate_prompts(prompt, negative_prompt, MAX_PROMPT_LENGTH_T2V)
task_creation_response = await sync_op(
Expand Down Expand Up @@ -394,8 +390,8 @@ async def execute_image2video(
model_mode: str,
aspect_ratio: str,
duration: str,
camera_control: Optional[KlingCameraControl] = None,
end_frame: Optional[torch.Tensor] = None,
camera_control: KlingCameraControl | None = None,
end_frame: torch.Tensor | None = None,
) -> IO.NodeOutput:
validate_prompts(prompt, negative_prompt, MAX_PROMPT_LENGTH_I2V)
validate_input_image(start_frame)
Expand Down Expand Up @@ -451,8 +447,8 @@ async def execute_video_effect(
model_name: str,
duration: KlingVideoGenDuration,
image_1: torch.Tensor,
image_2: Optional[torch.Tensor] = None,
model_mode: Optional[KlingVideoGenMode] = None,
image_2: torch.Tensor | None = None,
model_mode: KlingVideoGenMode | None = None,
) -> tuple[VideoFromFile, str, str]:
if dual_character:
request_input_field = KlingDualCharacterEffectInput(
Expand Down Expand Up @@ -499,13 +495,13 @@ async def execute_video_effect(

async def execute_lipsync(
cls: type[IO.ComfyNode],
video: VideoInput,
audio: Optional[AudioInput] = None,
voice_language: Optional[str] = None,
model_mode: Optional[str] = None,
text: Optional[str] = None,
voice_speed: Optional[float] = None,
voice_id: Optional[str] = None,
video: Input.Video,
audio: Input.Audio | None = None,
voice_language: str | None = None,
model_mode: str | None = None,
text: str | None = None,
voice_speed: float | None = None,
voice_id: str | None = None,
) -> IO.NodeOutput:
if text:
validate_string(text, field_name="Text", max_length=MAX_PROMPT_LENGTH_LIP_SYNC)
Expand Down Expand Up @@ -787,7 +783,7 @@ async def execute(
negative_prompt: str,
cfg_scale: float,
aspect_ratio: str,
camera_control: Optional[KlingCameraControl] = None,
camera_control: KlingCameraControl | None = None,
) -> IO.NodeOutput:
return await execute_text2video(
cls,
Expand Down Expand Up @@ -854,8 +850,8 @@ async def execute(
mode: str,
aspect_ratio: str,
duration: str,
camera_control: Optional[KlingCameraControl] = None,
end_frame: Optional[torch.Tensor] = None,
camera_control: KlingCameraControl | None = None,
end_frame: torch.Tensor | None = None,
) -> IO.NodeOutput:
return await execute_image2video(
cls,
Expand Down Expand Up @@ -965,15 +961,11 @@ def define_schema(cls) -> IO.Schema:
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
IO.String.Input("negative_prompt", multiline=True, tooltip="Negative text prompt"),
IO.Float.Input("cfg_scale", default=0.5, min=0.0, max=1.0),
IO.Combo.Input(
"aspect_ratio",
options=[i.value for i in KlingVideoGenAspectRatio],
default="16:9",
),
IO.Combo.Input("aspect_ratio", options=["16:9", "9:16", "1:1"]),
IO.Combo.Input(
"mode",
options=modes,
default=modes[2],
default=modes[8],
tooltip="The configuration to use for the video generation following the format: mode / duration / model_name.",
),
],
Expand Down Expand Up @@ -1254,8 +1246,8 @@ def define_schema(cls) -> IO.Schema:
@classmethod
async def execute(
cls,
video: VideoInput,
audio: AudioInput,
video: Input.Video,
audio: Input.Audio,
voice_language: str,
) -> IO.NodeOutput:
return await execute_lipsync(
Expand Down Expand Up @@ -1314,7 +1306,7 @@ def define_schema(cls) -> IO.Schema:
@classmethod
async def execute(
cls,
video: VideoInput,
video: Input.Video,
text: str,
voice: str,
voice_speed: float,
Expand Down Expand Up @@ -1471,7 +1463,7 @@ async def execute(
human_fidelity: float,
n: int,
aspect_ratio: KlingImageGenAspectRatio,
image: Optional[torch.Tensor] = None,
image: torch.Tensor | None = None,
) -> IO.NodeOutput:
validate_string(prompt, field_name="prompt", min_length=1, max_length=MAX_PROMPT_LENGTH_IMAGE_GEN)
validate_string(negative_prompt, field_name="negative_prompt", max_length=MAX_PROMPT_LENGTH_IMAGE_GEN)
Expand Down
Loading