这套Wan2.2+像塑工作流，适合业余做个人内容创作，实现技术变现

import cv2
import os
import numpy as np
from tqdm import tqdm
# =====================配置区，按需修改=====================
RAW_COMIC = "./raw_comic/"           # 原始漫画分镜文件夹
OUT_PREP = "./prep_for_xiangsu/"    # 预处理后给像塑使用的图片
TARGET_W, TARGET_H = 720, 1280       # 竖屏9:16，像塑推荐分辨率
# =========================================================
os.makedirs(OUT_PREP, exist_ok=True)
def process_comic_image(img_path, save_path):
    img = cv2.imread(img_path)
    if img is None:
        print(f"跳过损坏文件: {img_path}")
        return False
    h, w = img.shape[:2]
    # 等比例缩放
    scale = min(TARGET_W / w, TARGET_H / h)
    nw, nh = int(w * scale), int(h * scale)
    img_resized = cv2.resize(img, (nw, nh), interpolation=cv2.INTER_AREA)
    # 黑色画布居中放置，防止主体贴边
    canvas = np.zeros((TARGET_H, TARGET_W, 3), dtype=np.uint8)
    offset_x = (TARGET_W - nw) // 2
    offset_y = (TARGET_H - nh) // 2
    canvas[offset_y:offset_y+nh, offset_x:offset_x+nw] = img_resized
    # 轻度降噪，保护漫画黑色轮廓线条
    canvas = cv2.fastNlMeansDenoisingColored(canvas, None, h=2, hColor=2, templateWindowSize=5, searchWindowSize=15)
    cv2.imwrite(save_path, canvas)
    return True
img_list = sorted([f for f in os.listdir(RAW_COMIC) if f.endswith(("png", "jpg", "jpeg"))])
for fname in tqdm(img_list, desc="漫画预处理（像塑素材）"):
    process_comic_image(os.path.join(RAW_COMIC, fname), os.path.join(OUT_PREP, fname))
print("✅ 漫画素材预处理完成，图片可直接导入像塑")

import cv2
import numpy as np
from tqdm import tqdm
# =====================像素特效参数=====================
INPUT_VIDEO_DIR = "./xiangsu_raw_clips/"
OUT_PIXEL_DIR = "./pixel_processed_clips/"
PIXEL_BLOCK = 5         # 像素块大小：数值越大颗粒感越强
COLOR_LEVEL = 14        # 色彩层级，数值越低画面越复古
# ======================================================
os.makedirs(OUT_PIXEL_DIR, exist_ok=True)
def pixel_comic_filter(frame, block_size=5, color_level=14):
    h, w = frame.shape[:2]
    # 像素下采样，最近邻插值实现方块像素效果
    small_img = cv2.resize(frame, (w // block_size, h // block_size), interpolation=cv2.INTER_LINEAR)
    pixel_img = cv2.resize(small_img, (w, h), interpolation=cv2.INTER_NEAREST)
    # 色彩量化，减少色阶
    quant_step = 256 / color_level
    quant_img = np.round(pixel_img / quant_step) * quant_step
    quant_img = quant_img.astype(np.uint8)
    # Canny边缘检测，强化漫画黑色描边
    gray = cv2.cvtColor(quant_img, cv2.COLOR_BGR2GRAY)
    edge = cv2.Canny(gray, threshold1=35, threshold2=130)
    quant_img[edge > 0] = (0, 0, 0)
    return quant_img
def render_video(input_path, output_path):
    cap = cv2.VideoCapture(input_path)
    fps = cap.get(cv2.CAP_PROP_FPS)
    w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
    fourcc = cv2.VideoWriter_fourcc(*"mp4v")
    writer = cv2.VideoWriter(output_path, fourcc, fps, (w, h))
    total_frame = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
    for _ in tqdm(range(total_frame), desc="像素特效渲染"):
        ret, frame = cap.read()
        if not ret:
            break
        out_frame = pixel_comic_filter(frame, PIXEL_BLOCK, COLOR_LEVEL)
        writer.write(out_frame)
    cap.release()
    writer.release()
video_files = sorted([v for v in os.listdir(INPUT_VIDEO_DIR) if v.endswith(".mp4")])
for video_name in video_files:
    render_video(os.path.join(INPUT_VIDEO_DIR, video_name), os.path.join(OUT_PIXEL_DIR, video_name))
print("✅ 所有像塑漫剧片段像素特效渲染完成")

import os
def concat_video_clips(input_folder, temp_merge_file):
    file_list = os.path.join(input_folder, "filelist.txt")
    with open(file_list, "w", encoding="utf-8") as f:
        for filename in sorted(os.listdir(input_folder)):
            if filename.endswith(".mp4"):
                f.write(f"file '{filename}'\n")
    cmd = f'ffmpeg -y -f concat -safe 0 -i "{file_list}" -c copy "{temp_merge_file}"'
    os.system(cmd)
def merge_voice_audio(vid_path, audio_path, vid_with_audio):
    cmd = f'ffmpeg -y -i "{vid_path}" -i "{audio_path}" -c:v copy -c:a aac "{vid_with_audio}"'
    os.system(cmd)
def add_srt_subtitle(vid_in, srt_file, final_output):
    cmd = f'ffmpeg -y -i "{vid_in}" -vf "subtitles={srt_file}" "{final_output}"'
    os.system(cmd)
# 流水线执行入口
concat_video_clips("./pixel_processed_clips/", "./temp_merged_video.mp4")
merge_voice_audio("./temp_merged_video.mp4", "./voice_narration.mp3", "./temp_with_audio.mp4")
add_srt_subtitle("./temp_with_audio.mp4", "./script.srt", "./xiangsu_pixel_comic_final.mp4")
print("🎉 漫剧成片全部制作完成！")