ComfyUI 图生图实战落地：SD 底层资产标准化、批量推理与协作交付实践（附 Python 源码 + 工作流素材包）

ComfyUI绘图工作流，SD底层绘图，图生图，出画面/
├── 01_工作流JSON/
│   ├── Img2Img_Base_V02.json          #基础图生图工作流
│   ├── Img2Img_CN_Line_V01.json      #线稿约束图生图
│   └── Release_Production_V1.json    #对外交付正式版工作流
├── 02_模型依赖清单/
│   ├── model_dependency.csv          #模型名称、哈希、下载来源
│   └── custom_nodes_require.txt      #第三方自定义节点列表
├── 03_参考与样例图片/
│   ├── input_reference/              #输入原始参考素材
│   └── output_sample/                #工作流输出效果样例
├── 04_批量输出产物/
│   ├── temp_output/                   #测试生成临时图片
│   └── release_output/               #正式交付成品图片
├── 05_项目文档/
│   ├── 参数调优说明.md
│   └── 环境部署排坑指南.docx
└── _archive归档/                      #废弃工作流、旧版本素材归档存放，不直接删除

pip install requests selenium pyperclip openpyxl

import requests
import json
import os
import time
# =====================配置区 根据项目实际修改=====================
COMFYUI_API_URL = "http://127.0.0.1:8188/prompt"
WORKFLOW_JSON_PATH = "./01_工作流JSON/Img2Img_Base_V02.json"
INPUT_REFERENCE_FOLDER = "./03_参考与样例图片/input_reference"
OUTPUT_FOLDER = "./04_批量输出产物/temp_output"
POSITIVE_PROMPT = "masterpiece,best quality,精细五官，细腻皮肤，电影光影，8k，高清细节"
NEGATIVE_PROMPT = "模糊，畸形肢体，水印，文字，低分辨率，扭曲，噪点"
DENOISE_STRENGTH = 0.62   #图生图降噪强度，0-1，数值越高改动越大；角色重绘建议0.4‑0.7
# ================================================================
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_name,pos_prompt,neg_prompt,denoise):
    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_name
        if node["class_type"] == "CLIPTextEncode" and "positive" in node["_meta"]["title"].lower():
            node["inputs"]["text"] = pos_prompt
        if node["class_type"] == "CLIPTextEncode" and "negative" in node["_meta"]["title"].lower():
            node["inputs"]["text"] = neg_prompt
        if node["class_type"] == "KSampler":
            node["inputs"]["denoise"] = denoise
    return wf_copy
def submit_comfy_task(prompt_data):
    resp = requests.post(COMFYUI_API_URL,json={"prompt":prompt_data})
    return resp.json()
if __name__ == "__main__":
    os.makedirs(OUTPUT_FOLDER,exist_ok=True)
    base_workflow = load_workflow(WORKFLOW_JSON_PATH)
    img_list = [f for f in os.listdir(INPUT_REFERENCE_FOLDER) if f.lower().endswith((".png",".jpg",".jpeg"))]
    img_list.sort()
    print(f"待处理参考图片总数量：{len(img_list)}")
    for image_file in img_list:
        print(f"提交任务，参考图：{image_file}")
        run_workflow = modify_workflow(base_workflow,image_file,POSITIVE_PROMPT,NEGATIVE_PROMPT,DENOISE_STRENGTH)
        result = submit_comfy_task(run_workflow)
        task_id = result.get("prompt_id")
        print(f"任务ID:{task_id}，已提交，请在ComfyUI查看生成进度\n")
        time.sleep(1)
    print("✅全部图片任务提交完毕，请等待全部推理完成。")

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 = "ComfyUI绘图工作流，SD底层绘图，图生图，出画面"
WORKFLOW_VERSION = "Release‑V1正式版"
WEB_PAN_URL = "https://pan.quark.cn/"
OUTPUT_TXT = "./工作流交付文案.txt"
OUTPUT_EXCEL = "./绘图资产交付台账.xlsx"
WAIT_SECONDS = 15
# ================================================
def init_chrome():
    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
    driver = webdriver.Chrome(options=chrome_opt)
    return driver
def get_share_link(driver):
    wait = WebDriverWait(driver,WAIT_SECONDS)
    driver.get(WEB_PAN_URL)
    print("[系统提示]浏览器已打开，请完成网盘登录，登录完成脚本继续执行。")
    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 build_delivery_text(link):
    content = f"""【ComfyUI绘图资产交付】版本：{WORKFLOW_VERSION}
我用夸克网盘给你分享了「{FOLDER_NAME}」，内含SD图生图工作流JSON、模型依赖清单、参考样图、部署调优文档。
点击链接或复制整段内容，打开「夸克APP」即可获取。
链接：{link}
交付说明：本包为Release正式版本；导入前请对照model_dependency.csv准备模型权重与自定义节点；工作流仅限授权合作方内部使用。"""
    return content
def save_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","工作流版本","分享链接","交付文案","交付时间"])
    sheet.append([
        FOLDER_NAME,
        WORKFLOW_VERSION,
        link,
        text,
        datetime.datetime.now().strftime("%Y‑%m‑%d %H:%M:%S")
    ])
    workbook.save(OUTPUT_EXCEL)
    print(f"\n✅交付文件生成完成：\n交付文案：{OUTPUT_TXT}\n交付台账：{OUTPUT_EXCEL}")
if __name__ == "__main__":
    browser = init_chrome()
    try:
        share_url = get_share_link(browser)
        delivery_text = build_delivery_text(share_url)
        print("\n====生成交付文案====")
        print(delivery_text)
        save_record(delivery_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")
        browser.quit()