app.py

import gradio as gr
import os
import random
import sys
from typing import Sequence, Mapping, Any, Union
import torch
import spaces

def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
    """Returns the value at the given index of a sequence or mapping.

    If the object is a sequence (like list or string), returns the value at the given index.
    If the object is a mapping (like a dictionary), returns the value at the index-th key.

    Some return a dictionary, in these cases, we look for the "results" key

    Args:
        obj (Union[Sequence, Mapping]): The object to retrieve the value from.
        index (int): The index of the value to retrieve.

    Returns:
        Any: The value at the given index.

    Raises:
        IndexError: If the index is out of bounds for the object and the object is not a mapping.
    """
    try:
        return obj[index]
    except KeyError:
        return obj["result"][index]


def find_path(name: str, path: str = None) -> str:
    """
    Recursively looks at parent folders starting from the given path until it finds the given name.
    Returns the path as a Path object if found, or None otherwise.
    """
    # If no path is given, use the current working directory
    if path is None:
        path = os.getcwd()

    # Check if the current directory contains the name
    if name in os.listdir(path):
        path_name = os.path.join(path, name)
        print(f"{name} found: {path_name}")
        return path_name

    # Get the parent directory
    parent_directory = os.path.dirname(path)

    # If the parent directory is the same as the current directory, we've reached the root and stop the search
    if parent_directory == path:
        return None

    # Recursively call the function with the parent directory
    return find_path(name, parent_directory)


def add_comfyui_directory_to_sys_path() -> None:
    """
    Add 'ComfyUI' to the sys.path
    """
    comfyui_path = find_path("ComfyUI")
    if comfyui_path is not None and os.path.isdir(comfyui_path):
        sys.path.append(comfyui_path)
        print(f"'{comfyui_path}' added to sys.path")


def add_extra_model_paths() -> None:
    """
    Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path.
    """
    try:
        from main import load_extra_path_config
    except ImportError:
        print(
            "Could not import load_extra_path_config from main.py. Looking in utils.extra_config instead."
        )
        from utils.extra_config import load_extra_path_config

    extra_model_paths = find_path("extra_model_paths.yaml")

    if extra_model_paths is not None:
        load_extra_path_config(extra_model_paths)
    else:
        print("Could not find the extra_model_paths config file.")


add_comfyui_directory_to_sys_path()
add_extra_model_paths()


def import_custom_nodes() -> None:
    """Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS

    This function sets up a new asyncio event loop, initializes the PromptServer,
    creates a PromptQueue, and initializes the custom nodes.
    """
    import asyncio
    import execution
    from nodes import init_extra_nodes
    import server

    # Creating a new event loop and setting it as the default loop
    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)

    # Creating an instance of PromptServer with the loop
    server_instance = server.PromptServer(loop)
    execution.PromptQueue(server_instance)

    # Initializing custom nodes
    init_extra_nodes()


from nodes import NODE_CLASS_MAPPINGS


#@spaces.GPU(duration=15)
def generate_image(video, audio):
    import_custom_nodes()
    with torch.inference_mode():
        loadaudio = NODE_CLASS_MAPPINGS["LoadAudio"]()
        loadaudio_37 = loadaudio.load(audio=audio)

        vhs_loadvideo = NODE_CLASS_MAPPINGS["VHS_LoadVideo"]()
        vhs_loadvideo_40 = vhs_loadvideo.load_video(
            video=video,
            force_rate=25,
            custom_width=0,
            custom_height=768,
            frame_load_cap=0,
            skip_first_frames=0,
            select_every_nth=1,
            format="AnimateDiff",
        )

        videolengthadjuster = NODE_CLASS_MAPPINGS["VideoLengthAdjuster"]()
        latentsyncnode = NODE_CLASS_MAPPINGS["LatentSyncNode"]()
        vhs_videocombine = NODE_CLASS_MAPPINGS["VHS_VideoCombine"]()

        for q in range(1):
            videolengthadjuster_55 = videolengthadjuster.adjust(
                mode="pingpong",
                fps=25,
                silent_padding_sec=0.5,
                images=get_value_at_index(vhs_loadvideo_40, 0),
                audio=get_value_at_index(loadaudio_37, 0),
            )

            latentsyncnode_54 = latentsyncnode.inference(
                seed=random.randint(1, 2**64),
                lips_expression=1.5,
                inference_steps=20,
                images=get_value_at_index(videolengthadjuster_55, 0),
                audio=get_value_at_index(videolengthadjuster_55, 1),
            )

            vhs_videocombine_41 = vhs_videocombine.combine_video(
                frame_rate=25,
                loop_count=0,
                filename_prefix="latentsync",
                format="video/h264-mp4",
                pix_fmt="yuv420p",
                crf=19,
                save_metadata=True,
                trim_to_audio=False,
                pingpong=False,
                save_output=True,
                images=get_value_at_index(latentsyncnode_54, 0),
                audio=get_value_at_index(latentsyncnode_54, 1),
            )


if __name__ == "__main__":
    # Comment out the main() call in the exported Python code

    # Start your Gradio app
    with gr.Blocks() as app:
        # Add a title
        gr.Markdown("# SD prompt")

        with gr.Row():
            with gr.Column():
                # Add an input
                with gr.Row():
                    with gr.Group():
                        source_video = gr.Video(label="Source video")
                    with gr.Group():
                        source_audio = gr.Audio(label="Microphone", type="filepath")

                # The generate button
                generate_btn = gr.Button("Generate")

            with gr.Column():
                # The output image
                output_video = gr.Video(label="Generated Image")

            # When clicking the button, it will trigger the `generate_image` function, with the respective inputs
            # and the output an image
            generate_btn.click(
                fn=generate_image,
                inputs=[source_video, source_audio],
                outputs=[output_video]
            )
        app.launch(share=True)