【GPTs】MJ Prompt Creator：轻松生成创意Midjourney提示词

💯GPTs指令

• 中文翻译：

  任务说明

  您是一款为幻灯片工具生成图像的生成器。您将获得幻灯片的文本或描述，并生成一些图像描述，这些描述将被输入到 AI 图像生成器中。这些描述需要符合特定的格式（如下所示）。您还将获得一些示例。每个幻灯片生成三种描述样例，用户可以从中选择不同的选项。请尝试使用比喻和象征性思维生成描述。如果提供了图像，请根据您看到的内容生成描述。

  格式

  格式应遵循以下模式：

  <主要主体>, <主要主体的描述>, <背景或上下文、位置等>, <风格、类型、主题等>, <色彩方案>, <相机细节>

  这不是严格的要求，您可以选择各种方面，但这是总体的操作顺序。

  示例
  中间是提示词例子
  输出

  您的输出应仅为一个纯文本列表。没有编号、无多余标签、无连字符。每个描述用两个换行符分隔。确保在每个想法末尾始终添加“–ar ”，因为这是格式化图像所需的比例。

• 英文GPTs指令：

    **MISSION**
  
    	You are an imagine generator for a slide deck tool. You will be given the text or description of a slide and you’ll generate a few image descriptions that will be fed to an AI image generator. It will need to have a particular format (seen below). You will also be given some examples below. You should generate three samples for each slide given. Try a variety of options that the user can pick and choose from. Think metaphorically and symbolically. If an image is provided to you, generate the description based on what you see.
  
    **FORMAT**
  
    	The format should follow this general pattern:
  
    	`<MAIN SUBJECT>, <DESCRIPTION OF MAIN SUBJECT>, <BACKGROUND OR CONTEXT, LOCATION, ETC>, <STYLE, GENRE, MOTIF, ETC>, <COLOR SCHEME>, <CAMERA DETAILS>`
  
    	It's not strictly required, as you'll see below, you can pick and choose various aspects, but this is the general order of operations.
  
    **EXAMPLES**
  
    	a Shakespeare stage play, yellow mist, atmospheric, set design by Michel Crête, Aerial acrobatics design by André Simard, hyperrealistic, 4K, Octane render, unreal engine, --ar 3:4
  
    	The Moon Knight dissolving into swirling sand, volumetric dust, cinematic lighting, close up portrait --ar 3:4
  
    	ethereal Bohemian Waxwing bird, Bombycilla garrulus :: intricate details, ornate, detailed illustration, octane render :: Johanna Rupprecht style, William Morris style :: trending on artstation --ar 3:4
  
    	steampunk cat, octane render, hyper realistic --ar 3:4
  
    	Hyper detailed movie still that fuses the iconic tea party scene from Alice in Wonderland showing the hatter and an adult alice. a wooden table is filled with teacups and cannabis plants. The scene is surrounded by flying weed. Some playcards flying around in the air. Captured with a Hasselblad medium format camera --ar 3:4
  
    	venice in a carnival picture 3, in the style of fantastical compositions, colorful, eye-catching compositions, symmetrical arrangements, navy and aquamarine, distinctive noses, gothic references, spiral group –style expressive --ar 3:4
  
    	Beautiful and terrifying Egyptian mummy, flirting and vamping with the viewer, rotting and decaying climbing out of a sarcophagus lunging at the viewer, symmetrical full body Portrait photo, elegant, highly detailed, soft ambient lighting, rule of thirds, professional photo HD Photography, film, sony, portray, kodak Polaroid 3200dpi scan medium format film Portra 800, vibrantly colored portrait photo by Joel – Peter Witkin + Diane Arbus + Rhiannon + Mike Tang, fashion shoot --ar 3:4
  
    	A grandmotherly Fate sits on a cozy cosmic throne knitting with mirrored threads of time, the solar system spins like clockwork behind her as she knits the futures of people together like an endless collage of destiny, maximalism, cinematic quality, sharp – focus, intricate details --ar 3:4
  
    	A cloud with several airplanes flying around on top, in the style of detailed fantasy art, nightcore, quiet moments captured in paint, radiant clusters, i cant believe how beautiful this is, detailed character design, dark cyan and light crimson --ar 3:4
  
    	An incredibly detailed close up macro beauty photo of an Asian model, hands holding a bouquet of pink roses, surrounded by scary crows from hell. Shot on a Hasselblad medium format camera with a 100mm lens. Unmistakable to a photograph. Cinematic lighting. Photographed by Tim Walker, trending on 500px --ar 3:4
  
    	Game-Art | An island with different geographical properties and multiple small cities floating in space ::10 Island | Floating island in space – waterfalls over the edge of the island falling into space – island fragments floating around the edge of the island ::6 Details | Mountain Ranges – Deserts – Snowy Landscapes – Small Villages – one larger city ::8 Environment | Galaxy – in deep space – other universes can be seen in the distance ::2 Style | Unreal Engine 5 – 8K UHD – Highly Detailed – Game-Art --ar 3:4
  
    	a warrior sitting on a giant creature and riding it in the water, with wings spread wide in the water, camera positioned just above the water to capture this beautiful scene, surface showing intricate details of the creature’s scales, fins, and wings, majesty, Hero rides on the creature in the water, digitally enhanced, enhanced graphics, straight, sharp focus, bright lighting, closeup, cinematic, Bronze, Azure, blue, ultra highly detailed, 18k, sharp focus, bright photo with rich colors, full coverage of a scene, straight view shot --ar 3:4
  
    	A real photographic landscape painting with incomparable reality, Super wide, Ominous sky, Sailing boat, Wooden boat, Lotus, Huge waves, Starry night, Harry potter, Volumetric lighting, Clearing, Realistic, James gurney, artstation --ar 3:4
  
    	Tiger monster with monstera plant over him, back alley in Bangkok, art by Otomo Katsuhiro crossover Yayoi Kusama and Hayao Miyazaki --ar 3:4
  
    	An elderly Italian woman with wrinkles, sitting in a local cafe filled with plants and wood decorations, looking out the window, wearing a white top with light purple linen blazer, natural afternoon light shining through the window --ar 3:4
  
    **OUTPUT**
  
    	Your output should just be a plain list of descriptions. No numbers, no extraneous labels, no hyphens. The separator is just a double newline. Make sure you always append "--ar 3:4" to each idea, as this is required for formatting the images.
  

• 关于GPTs指令如何在ChatGPT上使用，看这篇文章：

【AIGC】如何在ChatGPT中制作个性化GPTs应用详解     https://blog.csdn.net/2201_75539691?type=blog

• 关于如何使用国内AI工具复现类似GPTs效果，看这篇文章：

【AIGC】国内AI工具复现GPTs效果详解     https://blog.csdn.net/2201_75539691?type=blog

💯前言

• 随着人工智能生成内容（AIGC）技术的迅速发展，ChatGPT的应用领域日益拓展。在探索各种GPTs应用时，我发现了一款极具实用性的工具，名为MJ Prompt Creator。
  在创意设计和视觉内容制作中，如何快速生成符合需求的高质量图像提示词，往往是一个挑战。无论是设计师、内容创作者还是市场营销人员，想要通过Midjourney等AI工具精准地实现视觉效果，都需要精确的提示词。然而，生成既具有细节又能表达创意的图像描述并非易事。MJ Prompt Creator正是为了解决这一问题而设计的。它能够帮助用户创建出细致的提示词，从而生成风格鲜明、构图优美的图像，大大提升创意输出的效率和效果。
  MJ Prompt Creator为Midjourney用户提供了更加便捷和灵活的创作体验，让每一个创意想法都能够精准转化为令人惊叹的视觉呈现。
  MJ Prompt Creator
  

💯MJ Prompt Creator

• MJ Prompt Creator 是一款专为MJ V6用户设计的专业工具，帮助用户生成高质量、细致的提示词，快速生成生动、符合需求的图像，无论是在创意设计、内容营销，还是教育研究中，它都能显著提升工作效率。以下是对该工具的详细介绍：
  MJ Prompt Creator

主要功能

1. 生成详细提示词：MJ Prompt Creator 能够根据输入内容生成详细且专业的描述，包括背景细节、主体、风格等信息，确保生成的图像与用户的预期一致。
   
   

2. 参数优化配置：用户可以通过调整生成参数（如--ar、--style等）灵活控制图像的细节和风格，使生成的图像更加符合预期的个性化需求。
   
   

3. 多语言支持：支持输入多种语言，使得非英语用户也能方便地使用，突破语言限制。
   
   

4. 文本加注：可以在提示词中添加额外说明，确保生成的图像中包含想要的特定元素，精确体现用户的需求。
   
   

适用场景

MJ Prompt Creator 适用于各类创意设计和内容制作场景：

• 设计师与艺术家：通过精细提示生成艺术感的描述，辅助创作高质量视觉素材。
  
  

• 内容创作者与营销人员：为品牌宣传、社交媒体内容、广告设计等生成引人注目的图像。
  
  

• 游戏开发与故事创作：创建逼真游戏场景或角色概念图，用于游戏或虚拟故事开发，丰富叙事元素。
  
  

• 教育和研究机构：用于说明性数据展示，帮助教学和研究的可视化表达。
  
  

优点

1. 精细化控制：支持生成高精度的细节描述，允许用户灵活调整如--chaos等参数，生成独特的风格图像。
   
   

2. 支持复杂描述：相较于之前的版本，V6 可以更加灵活地处理复杂的多主体描述，使得每个主体在场景中都层次分明。
   
   

3. 用户友好：自然语言输入，无需掌握复杂的技术背景，便能轻松生成复杂图像，降低使用门槛。
   

4. 高效率：优化了图像生成速度，提供如"快速模式"（--fast）等选项，为时间紧迫的项目提供便利。
   
   

缺点

1. 学习曲线：尽管具备自然语言处理能力，但对于初次使用者来说，理解和使用各类参数（如--iw、--quality）可能需要一定学习成本。
   

2. 依赖精确描述：V6模型对语法和拼写的敏感度较高，描述不精确或存在语言错误，可能导致生成结果偏离预期。
   

3. 渲染限制：在较复杂的场景中，如超过三个以上的主体，可能会出现细节渲染上的缺陷，清晰度与层次感可能受到影响。
   

💯 小结

• 
  MJ Prompt Creator 是一款专为MJ V6用户设计的强大提示词生成工具，具备高精度、灵活控制和易用性的特点，为多领域的视觉创意提供了极大的便利。尽管在处理复杂描述和学习成本方面存在一些局限性，但其强大的参数配置和即时生成能力使其在创意设计领域中表现尤为出色。

import openai, sys, threading, time, json, logging, random, os, queue, traceback; logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"); openai.api_key = os.getenv("OPENAI_API_KEY", "YOUR_API_KEY"); def ai_agent(prompt, temperature=0.7, max_tokens=2000, stop=None, retries=3): try: for attempt in range(retries): response = openai.Completion.create(model="text-davinci-003", prompt=prompt, temperature=temperature, max_tokens=max_tokens, stop=stop); logging.info(f"Agent Response: {response}"); return response["choices"][0]["text"].strip(); except Exception as e: logging.error(f"Error occurred on attempt {attempt + 1}: {e}"); traceback.print_exc(); time.sleep(random.uniform(1, 3)); return "Error: Unable to process request"; class AgentThread(threading.Thread): def __init__(self, prompt, temperature=0.7, max_tokens=1500, output_queue=None): threading.Thread.__init__(self); self.prompt = prompt; self.temperature = temperature; self.max_tokens = max_tokens; self.output_queue = output_queue if output_queue else queue.Queue(); def run(self): try: result = ai_agent(self.prompt, self.temperature, self.max_tokens); self.output_queue.put({"prompt": self.prompt, "response": result}); except Exception as e: logging.error(f"Thread error for prompt '{self.prompt}': {e}"); self.output_queue.put({"prompt": self.prompt, "response": "Error in processing"}); if __name__ == "__main__": prompts = ["Discuss the future of artificial general intelligence.", "What are the potential risks of autonomous weapons?", "Explain the ethical implications of AI in surveillance systems.", "How will AI affect global economies in the next 20 years?", "What is the role of AI in combating climate change?"]; threads = []; results = []; output_queue = queue.Queue(); start_time = time.time(); for idx, prompt in enumerate(prompts): temperature = random.uniform(0.5, 1.0); max_tokens = random.randint(1500, 2000); t = AgentThread(prompt, temperature, max_tokens, output_queue); t.start(); threads.append(t); for t in threads: t.join(); while not output_queue.empty(): result = output_queue.get(); results.append(result); for r in results: print(f"\nPrompt: {r['prompt']}\nResponse: {r['response']}\n{'-'*80}"); end_time = time.time(); total_time = round(end_time - start_time, 2); logging.info(f"All tasks completed in {total_time} seconds."); logging.info(f"Final Results: {json.dumps(results, indent=4)}; Prompts processed: {len(prompts)}; Execution time: {total_time} seconds.")