面向连载内容的 AI 漫剧工程化实现：ComfyUI 工作流、帧校验与时序优化完整方案

import torch
import cv2
from insightface.app import FaceAnalysis
face_engine = FaceAnalysis(providers=["CUDAExecutionProvider"])
face_engine.prepare(ctx_id=0, det_size=(640, 640))
def get_face_embedding(img_bgr):
    face_list = face_engine.get(img_bgr)
    if len(face_list) == 0:
        return None
    return torch.tensor(face_list[0].embedding)
def check_character_same(ref_img_path, gen_img_path, threshold=0.84):
    """
    ref_img_path：三视图参考图路径
    gen_img_path：当前生成分镜图片
    return True 人设正常；False 人物偏移，建议重绘
    """
    ref_img = cv2.imread(ref_img_path)
    gen_img = cv2.imread(gen_img_path)
    ref_emb = get_face_embedding(ref_img)
    gen_emb = get_face_embedding(gen_img)
    if ref_emb is None or gen_emb is None:
        return False
    sim_score = torch.cosine_similarity(ref_emb, gen_emb, dim=0).item()
    return sim_score >= threshold
if __name__ == "__main__":
    import os
    ref = "./AI‑Tools/character_resource/girl_three_view.png"
    frame_dir = "./raw_comic_frames/"
    for filename in os.listdir(frame_dir):
        if filename.endswith(".png"):
            ok = check_character_same(ref, os.path.join(frame_dir, filename))
            if not ok:
                print(f"[警告] {filename} 人物特征偏移，建议重新生成")

import cv2
import numpy as np
def comic_temporal_color_correct(prev_frame: np.ndarray, curr_frame: np.ndarray) -> np.ndarray:
    prev_float = prev_frame.astype(np.float32)
    curr_float = curr_frame.astype(np.float32)
    mean_prev = np.mean(prev_float)
    mean_curr = np.mean(curr_float)
    eps = 1e-6
    ratio = np.clip(mean_prev / (mean_curr + eps), 0.7, 1.3)
    curr_fixed = curr_float * ratio
    curr_fixed = np.clip(curr_fixed, 0, 255).astype(np.uint8)
    return curr_fixed
def batch_process_frames(input_folder, output_folder):
    import os
    os.makedirs(output_folder, exist_ok=True)
    frame_files = sorted([f for f in os.listdir(input_folder) if f.endswith(".png")])
    prev = None
    for name in frame_files:
        img = cv2.imread(os.path.join(input_folder, name))
        if prev is not None:
            img = comic_temporal_color_correct(prev, img)
        cv2.imwrite(os.path.join(output_folder, name), img)
        prev = img.copy()
if __name__ == "__main__":
    batch_process_frames("./raw_frames", "./stable_out_frames")

from realesrgan import RealESRGANer
def comic_anime_upscale(input_image):
    up = RealESRGANer(
        scale=2,
        model_path="./AI‑Tools/Video_Super_Resolution/anime_x2.pth",
        tile=320,
        tile_pad=12
    )
    output, _ = up.enhance(input_image, outscale=2)
    return output

@echo off
ffmpeg -i raw_input.mp4 ^
-vf fps=60,unsharp=1.2:1.2:0.2,scale=1080:1920 ^
-c:v libx265 -crf 19 -preset medium ^
-c:a aac -b:a 128k ^
-y comic_final_output.mp4
echo AI漫剧成片导出完成
pause

{
  "class_type":"IPAdapterFaceID",
  "inputs":{
    "weight":0.82,
    "clip_vision":"clip_vision_anime",
    "reference_image":"character_three_view.png",
    "noise_offset":0.1
  }
}

masterpiece,best quality,2d chinese comic,clean sharp line art,flat solid color,consistent character face,subtle dialogue movement,soft ambient lighting,vertical 9:16,no jitter

blurry,lowres,deformed limbs,extra fingers,color flicker,frame shaking,ugly face,uneven line art