#!/usr/bin/env python3
"""短剧《雨夜撞上陆总后》第二季 第十八集 - 场景图生成"""
import json, urllib.request, time
COMFYUI_URL = "http://127.0.0.1:8188"
BEST_MODEL = "SDXL 1.0\\9527DetailRealistic_v30.safetensors"
NEGATIVE_PROMPT = "(worst quality, low quality:1.4), deformed, distorted, disfigured, bad anatomy, bad proportions, ugly, noisy, blurry, low contrast, watermark, text, signature, cartoon, anime, 3d, painting, drawing, illustration, western features, blue eyes, blonde hair, extra fingers, malformed hands, missing limbs, floating limbs, disconnected limbs, nsfw, nude, naked"
SCENES = [
    {"id": "01", "name": "清晨做饭", "seed": 20001, "width": 1216, "height": 832, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), handsome chinese man cooking in modern kitchen, holding spatula, morning light, apron, focused expression, photorealistic, 8k, medium shot", "output_prefix": "Drama_EP18_01_Morning_Cooking_"},
    {"id": "02", "name": "查食谱", "seed": 20002, "width": 832, "height": 1216, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), handsome chinese man looking at phone recipe in kitchen, concentrated expression, modern kitchen background, soft lighting, photorealistic, 8k, close-up", "output_prefix": "Drama_EP18_02_Recipe_Phone_"},
    {"id": "03", "name": "取消会议", "seed": 20003, "width": 1216, "height": 832, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), handsome chinese man in office, talking to secretary, serious expression, luxury office interior, business attire, photorealistic, 8k, medium shot", "output_prefix": "Drama_EP18_03_Cancel_Meeting_"},
    {"id": "04", "name": "满桌菜肴", "seed": 20004, "width": 1216, "height": 832, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), dining table full of chinese dishes, fish, pork ribs, beef, vegetables, pregnant woman sitting, home dining room, warm lighting, photorealistic, 8k, wide shot", "output_prefix": "Drama_EP18_04_Full_Table_"},
    {"id": "05", "name": "夹菜喂食", "seed": 20005, "width": 1216, "height": 832, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), man feeding woman at dining table, chopsticks with fish, woman smiling, warm home atmosphere, photorealistic, 8k, medium shot", "output_prefix": "Drama_EP18_05_Feeding_Wife_"},
    {"id": "06", "name": "客厅聊天", "seed": 20006, "width": 1216, "height": 832, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), couple sitting on sofa, holding hands, pregnant woman resting on man's shoulder, living room, afternoon light, photorealistic, 8k, medium shot", "output_prefix": "Drama_EP18_06_Living_Room_Talk_"},
    {"id": "07", "name": "记笔记", "seed": 20007, "width": 832, "height": 1216, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), handsome chinese man writing in notebook, focused expression, bedroom setting, soft lighting, photorealistic, 8k, close-up", "output_prefix": "Drama_EP18_07_Taking_Notes_"},
    {"id": "08", "name": "卧室夜话", "seed": 20008, "width": 1216, "height": 832, "prompt": "(masterpiece, best quality, ultra-detailed:1.3), couple in bedroom at night, man sitting on bed touching woman's pregnant belly, intimate moment, soft moonlight, photorealistic, 8k, medium shot", "output_prefix": "Drama_EP18_08_Bedroom_Night_"}
]
def submit_prompt(scene):
    prompt_data = {"prompt": {"3": {"class_type": "KSampler", "inputs": {"cfg": 7.0, "denoise": 1, "latent_image": ["5", 0], "model": ["4", 0], "negative": ["7", 0], "positive": ["6", 0], "sampler_name": "dpmpp_2m", "scheduler": "karras", "seed": scene["seed"], "steps": 30}}, "4": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": BEST_MODEL}}, "5": {"class_type": "EmptyLatentImage", "inputs": {"batch_size": 1, "height": scene["height"], "width": scene["width"]}}, "6": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["4", 1], "text": scene["prompt"]}}, "7": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["4", 1], "text": NEGATIVE_PROMPT}}, "8": {"class_type": "VAEDecode", "inputs": {"samples": ["3", 0], "vae": ["4", 2]}}, "9": {"class_type": "SaveImage", "inputs": {"filename_prefix": scene["output_prefix"], "images": ["8", 0]}}}}
    try:
        req = urllib.request.Request(f'{COMFYUI_URL}/prompt', data=json.dumps(prompt_data).encode('utf-8'), headers={'Content-Type': 'application/json'}, method='POST')
        with urllib.request.urlopen(req, timeout=10) as response:
            result = json.loads(response.read().decode('utf-8'))
            return True, result.get('prompt_id', 'unknown')
    except Exception as e:
        return False, str(e)
def main():
    print("=" * 70); print("🎬 短剧《雨夜撞上陆总后》第二季 第十八集 - 场景图生成"); print("=" * 70)
    print(f"\n📦 使用模型：{BEST_MODEL}"); print(f"📊 场景数量：{len(SCENES)} 个"); print("=" * 70)
    print("\n📡 检查 ComfyUI 连接...")
    try:
        req = urllib.request.Request(f'{COMFYUI_URL}/queue', method='GET')
        with urllib.request.urlopen(req, timeout=5) as response:
            queue = json.loads(response.read().decode('utf-8'))
            print(f"✅ ComfyUI 连接成功"); print(f"   当前队列：{len(queue.get('queue_running', []))} 运行中，{len(queue.get('queue_pending', []))} 等待中")
    except Exception as e:
        print(f"❌ 无法连接 ComfyUI: {e}"); return
    print("\n" + "=" * 70); print("🚀 开始提交生成任务..."); print("=" * 70)
    success_count = 0
    for i, scene in enumerate(SCENES, 1):
        print(f"\n[{i}/{len(SCENES)}] {scene['name']}"); success, result = submit_prompt(scene)
        if success: print(f"   ✅ 提交成功 (Prompt ID: {result})"); success_count += 1
        else: print(f"   ❌ 提交失败：{result}"); time.sleep(0.5)
    print("\n" + "=" * 70); print("📊 生成结果"); print("=" * 70); print(f"✅ 成功：{success_count}/{len(SCENES)}")
    if success_count > 0: print(f"\n💾 图片将保存到：ComfyUI/output/\n   文件名前缀：Drama_EP18_XX_场景名_\n\n🌐 查看进度：http://127.0.0.1:8188")
    print("\n" + "=" * 70); print("\n📋 场景清单:"); print("-" * 70)
    for scene in SCENES: print(f"  {scene['id']}. {scene['name']} - {scene['output_prefix']}")
    print("-" * 70)
if __name__ == "__main__":
    main()