AI 漫剧动态视频小组实战：镜头资产规范化与轻量批量生产交付实践（附 Python 源码 + 项目素材包）

AI视频生成组，做漫剧动态视频/
├── 01_剧本分镜资源/
│   ├── episode_scene.json        #结构化分镜配置表
│   ├── 完整剧本文档.docx
│   └── 字幕文稿.csv
├── 02_静态分镜帧/
│   ├── 001_scene.png
│   ├── 002_scene.png
│   └── reference_character/     #角色人设参考素材
├── 03_动态工程工作流/
│   ├── video_img2video_release.json #正式生产图生视频工作流
│   ├── model_dependency.txt         #模型、自定义节点依赖清单
│   └── 像塑漫剧工程/
├── 04_输出媒体资源/
│   ├── temp_dynamic_clips/        #临时动态片段，用于内部调试
│   ├── tts_audio/                 #配音音频文件
│   └── release_episode.mp4        #对外交付完整成片
├── 05_项目文档/
│   ├── 动态参数调优手册.md
│   └── 环境部署排坑说明.docx
└── _archive归档/                   #废弃镜头、旧版本工程统一存放，不直接删除

pip install requests selenium pyperclip openpyxl

import requests
import json
import os
import time
# =====================配置区 根据项目修改=====================
COMFYUI_API = "http://127.0.0.1:8188/prompt"
WORKFLOW_JSON = "./03_动态工程工作流/video_img2video_release.json"
INPUT_FRAME_DIR = "./02_静态分镜帧"
OUTPUT_CLIP_DIR = "./04_输出媒体资源/temp_dynamic_clips"
MOTION_BUCKET = 0.40  #动态幅度，对话镜头建议0.25‑0.45，动作镜头0.5‑0.65
# ============================================================
def load_workflow(file_path):
    with open(file_path, "r", encoding="utf‑8") as f:
        return json.load(f)
def modify_workflow(workflow_dict, img_filename, motion_value):
    """动态修改工作流：替换输入图片、调整动态幅度参数"""
    wf_copy = json.loads(json.dumps(workflow_dict))
    for node_id, node in wf_copy.items():
        if node["class_type"] == "LoadImage":
            node["inputs"]["image"] = img_filename
        if "AnimateDiff" in node["class_type"] or "VideoGen" in node["class_type"]:
            node["inputs"]["motion_bucket_id"] = motion_value
    return wf_copy
def submit_task(prompt_data):
    resp = requests.post(COMFYUI_API, json={"prompt": prompt_data})
    return resp.json()
if __name__ == "__main__":
    os.makedirs(OUTPUT_CLIP_DIR, exist_ok=True)
    base_wf = load_workflow(WORKFLOW_JSON)
    img_list = [f for f in os.listdir(INPUT_FRAME_DIR) if f.lower().endswith((".png",".jpg"))]
    img_list.sort()
    print(f"本次待处理分镜镜头总数：{len(img_list)}")
    for img_file in img_list:
        print(f"提交镜头任务：{img_file}")
        run_wf = modify_workflow(base_wf, img_file, MOTION_BUCKET)
        res = submit_task(run_wf)
        task_id = res.get("prompt_id")
        print(f"任务ID：{task_id}，已提交，请前往ComfyUI观察渲染进度\n")
        time.sleep(1.2)
    print("✅所有镜头任务提交完毕，请等待全部渲染完成。")

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from openpyxl import Workbook
import pyperclip
import time
import datetime
# =====================配置区=====================
FOLDER_NAME = "AI视频生成组，做漫剧动态视频"
PROJECT_VERSION = "Release‑V1正式工程版"
WEB_PAN_URL = "https://pan.quark.cn/"
OUTPUT_TXT = "./漫剧项目交付文案.txt"
OUTPUT_EXCEL = "./漫剧资产交付台账.xlsx"
WAIT_SECONDS = 15
# ================================================
def init_browser():
    chrome_opt = webdriver.ChromeOptions()
    chrome_opt.add_argument("--start‑maximized")
    # chrome_opt.add_argument(r"--user‑data‑dir=./chrome_profile") #取消注释开启持久登录，不用反复扫码
    driver = webdriver.Chrome(options=chrome_opt)
    return driver
def fetch_share_link(driver):
    wait = WebDriverWait(driver, WAIT_SECONDS)
    driver.get(WEB_PAN_URL)
    print("[提示]浏览器已打开，请完成网盘登录，登录完成脚本自动继续执行。")
    time.sleep(7)
    folder_elem = wait.until(
        EC.presence_of_element_located((By.XPATH, f'//div[contains(text(),"{FOLDER_NAME}")]'))
    )
    folder_elem.click()
    time.sleep(2)
    share_btn = wait.until(EC.presence_of_element_located((By.XPATH, '//span[text()="分享"]')))
    share_btn.click()
    time.sleep(2)
    copy_btn = wait.until(EC.presence_of_element_located((By.XPATH, '//button[contains(text(),"复制链接")]')))
    copy_btn.click()
    time.sleep(1)
    return pyperclip.paste()
def create_delivery_text(share_link):
    content = f"""【AI漫剧动态视频项目交付】版本：{PROJECT_VERSION}
我用夸克网盘给你分享了「{FOLDER_NAME}」，包含动态视频ComfyUI工作流、分镜素材、像塑漫剧工程、配音配置与调优文档。
复制整段内容，打开「夸克APP」即可获取。
链接：{share_link}
交付说明：本包为Release正式工程版本；运行工作流请参考model_dependency.txt准备模型与自定义节点；工程物料仅限授权合作方内部使用，请勿二次分发。"""
    return content
def save_delivery_record(text,link):
    with open(OUTPUT_TXT, "w", encoding="utf‑8") as f:
        f.write(text)
    workbook = Workbook()
    sheet = workbook.active
    sheet.title = "交付记录"
    sheet.append(["资产包名称","项目版本","分享链接","交付文案","交付时间"])
    sheet.append([
        FOLDER_NAME,
        PROJECT_VERSION,
        link,
        text,
        datetime.datetime.now().strftime("%Y‑%m‑%d %H:%M:%S")
    ])
    workbook.save(OUTPUT_EXCEL)
    print(f"\n✅交付文件已生成完成：\n交付文案：{OUTPUT_TXT}\n交付台账：{OUTPUT_EXCEL}")
if __name__ == "__main__":
    drv = init_browser()
    try:
        share_url = fetch_share_link(drv)
        final_text = create_delivery_text(share_url)
        print("\n====生成完成的交付文案====")
        print(final_text)
        save_delivery_record(final_text,share_url)
    except Exception as err:
        print(f"\n❌脚本执行异常：{str(err)}")
    finally:
        input("\n按下回车键关闭浏览器窗口")
        drv.quit()