Use DynamicCombo for cleaner node

Basically just so that single_speaker mode hides mask inputs and 2nd audio input
This commit is contained in:
kijai 2026-01-05 00:25:12 +02:00
parent c3e6609e20
commit 652b15702e

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@ -8,7 +8,7 @@ import comfy.latent_formats
import comfy.clip_vision
import json
import numpy as np
from typing import Tuple
from typing import Tuple, TypedDict
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
import logging
@ -1291,12 +1291,25 @@ class Wan22ImageToVideoLatent(io.ComfyNode):
from comfy.ldm.wan.model_multitalk import InfiniteTalkOuterSampleWrapper, MultiTalkCrossAttnPatch, MultiTalkGetAttnMapPatch, project_audio_features
class WanInfiniteTalkToVideo(io.ComfyNode):
class DCValues(TypedDict):
mode: str
audio_encoder_output_2: io.AudioEncoderOutput.Type
mask: io.Mask.Type
@classmethod
def define_schema(cls):
return io.Schema(
node_id="WanInfiniteTalkToVideo",
category="conditioning/video_models",
inputs=[
io.DynamicCombo.Input("mode", options=[
io.DynamicCombo.Option("single_speaker", []),
io.DynamicCombo.Option("two_speakers", [
io.AudioEncoderOutput.Input("audio_encoder_output_2", optional=True),
io.Mask.Input("mask_1", optional=True, tooltip="Mask for the first speaker, required if using two audio inputs."),
io.Mask.Input("mask_2", optional=True, tooltip="Mask for the second speaker, required if using two audio inputs."),
]),
]),
io.Model.Input("model"),
io.ModelPatch.Input("model_patch"),
io.Conditioning.Input("positive"),
@ -1308,9 +1321,6 @@ class WanInfiniteTalkToVideo(io.ComfyNode):
io.ClipVisionOutput.Input("clip_vision_output", optional=True),
io.Image.Input("start_image", optional=True),
io.AudioEncoderOutput.Input("audio_encoder_output_1"),
io.AudioEncoderOutput.Input("audio_encoder_output_2", optional=True),
io.Mask.Input("mask_1", optional=True, tooltip="Mask for the first speaker, required if using two audio inputs."),
io.Mask.Input("mask_2", optional=True, tooltip="Mask for the second speaker, required if using two audio inputs."),
io.Int.Input("motion_frame_count", default=9, min=1, max=33, step=1, tooltip="Number of previous frames to use as motion context."),
io.Float.Input("audio_scale", default=1.0, min=-10.0, max=10.0, step=0.01),
io.Image.Input("previous_frames", optional=True),
@ -1325,7 +1335,7 @@ class WanInfiniteTalkToVideo(io.ComfyNode):
)
@classmethod
def execute(cls, model, model_patch, positive, negative, vae, width, height, length, audio_encoder_output_1, motion_frame_count,
def execute(cls, mode: DCValues, model, model_patch, positive, negative, vae, width, height, length, audio_encoder_output_1, motion_frame_count,
start_image=None, previous_frames=None, audio_scale=None, clip_vision_output=None, audio_encoder_output_2=None, mask_1=None, mask_2=None) -> io.NodeOutput:
if previous_frames is not None and previous_frames.shape[0] < motion_frame_count: