ES

Okay, here's the translation of that title sentence by sentence: * **How To Use Google VEO 3 JSON Prompting To Create $100k AI Ads** - "Cómo usar el prompting JSON de Google VEO 3 para crear anuncios de IA de 100.000 dólares."

#Ganar dinero
2025-08-06 19:5134 minuto de lectura

Introducción al contenido

Aquí tienes la traducción del artículo, oración por oración:* **This video explains how to create viral ads using a new prompting format called JSON prompting.** Este video explica cómo crear anuncios virales usando un nuevo formato de "prompting" llamado "JSON prompting".* **It showcases examples like the VO3 Tree AI ads and demonstrates how to create visually stunning unboxing videos and professional advertisements with different brands and characters.** Muestra ejemplos como los anuncios de VO3 Tree AI y demuestra cómo crear videos de unboxing visualmente impresionantes y anuncios profesionales con diferentes marcas y personajes.* **The video provides the prompts needed and explains the use of platforms like Open Art and Google Flow for generating these videos.** El video proporciona los "prompts" necesarios y explica el uso de plataformas como Open Art y Google Flow para generar estos videos.* **It also offers a custom chatbot link for creating JSON FO3 prompts, encourages creative experimentation, and suggests further exploration into AI-animated stories.** También ofrece un enlace a un chatbot personalizado para crear "prompts" JSON FO3, fomenta la experimentación creativa y sugiere una mayor exploración de historias animadas por IA.

Información Clave

  • La instrucción JSON es una forma de estructurar las indicaciones de vídeo, lo que puede conducir a resultados impresionantes.
  • Puedes crear varios tipos de videos con él, incluyendo videos de desempaquetado, anuncios y contenido basado en personajes.
  • El video proporciona acceso a un bot personalizado que genera instrucciones JSON y muestra ejemplos de videos generados por IA, como anuncios de Starbucks y anuncios de perfumes, para demostrar el poder de las instrucciones JSON.
  • También sugiere usar Open Art o Google Flow para crear los videos. Hay enlaces y una descripción para un boletín informativo para ayudar a las personas a obtener acceso a indicaciones y contenido.

Análisis de la línea de tiempo

Palabras clave del contenido

Here's the translation of "VO3 Tree AI ads & JSON Prompting" sentence by sentence:* **VO3 Tree AI ads** - Anuncios de VO3 Tree AI* **& JSON Prompting** - & Generación de prompts JSON

Claro, aquí tienes la traducción del artículo frase por frase:* Viral VO3 Tree AI ads are created using JSON prompting, a new format that allows for creating impressive content. * Los anuncios virales de VO3 Tree AI se crean utilizando 'JSON prompting', un nuevo formato que permite la creación de contenido impresionante.* The video will show how to use this format and provide prompts to get started. * El video mostrará cómo usar este formato y proporcionará ejemplos para empezar.

Okay, here's the translation of "IKEA Unboxing Videos" sentence by sentence:* **IKEA Unboxing Videos** - **Vídeos de Unboxing de IKEA**

Inspirado en videos de desempaquetado de IKEA, este método no se limita a IKEA y puede aplicarse a diferentes marcas, estilos e incluso personajes. El video te guiará para que los hagas tú mismo, proporcionando indicaciones y ejemplos creativos.

Here is a translation of "JSON Prompting Explained" into Spanish, sentence by sentence:**Original:** JSON Prompting Explained**Translation:** Explicación del Prompting JSON.

Aquí tienes la traducción del artículo, frase por frase:JSON prompting is a way to structure your video and gives the AI a specific format.**La instrucción JSON es una forma de estructurar tu video y le da a la IA un formato específico.**The videos show examples of how to create a Starbucks ad, perfume ad, Apple ad, Ferrari ad using JSON prompting.**Los videos muestran ejemplos de cómo crear un anuncio de Starbucks, un anuncio de perfume, un anuncio de Apple, un anuncio de Ferrari utilizando la instrucción JSON.**A custom "Chip Bolt" tool is mentioned for generating JSON prompts, available via a link in the description.**Se menciona una herramienta personalizada "Chip Bolt" para generar instrucciones JSON, disponible a través de un enlace en la descripción.**

Here's the translation of "Open Art Platform & Text to Video Generation" sentence by sentence:* **Open Art Platform:** Plataforma de Arte Abierta.* **& Text to Video Generation:** & Generación de Texto a Video.

Aquí tienes la traducción del artículo, frase por frase:* Open Art platform is used to access Google V3 for generating videos with text prompts, -> La plataforma Open Art se utiliza para acceder a Google V3 para generar videos con indicaciones de texto.* using the VO3 Tree model with 1080p resolution in fast mode. -> Utilizando el modelo VO3 Tree con resolución de 1080p en modo rápido.* It offers access to multiple AI video generators, making it easier than managing multiple subscriptions. -> Ofrece acceso a múltiples generadores de video con IA, lo que lo hace más fácil que administrar múltiples suscripciones.* Prompts for labuba room transformations are used as an example, -> Las indicaciones para las transformaciones de habitaciones labuba se utilizan como ejemplo.* noting custom prompts to generate a JSON FO3 prompt of a box opening room transformation in Tom and Jerry style. -> Señalando indicaciones personalizadas para generar una indicación JSON FO3 de una transformación de habitación con apertura de cajas al estilo Tom y Jerry.

Okay, I'm ready. Paste the article you want me to translate, sentence by sentence. I will provide the Spanish translation after each sentence.

Aquí tienes la traducción del artículo, frase por frase:* A custom bot is available via a link in the video description for generating JSON prompts. -> Un bot personalizado está disponible a través de un enlace en la descripción del video para generar *prompts* JSON.* Users can ask the bot to create prompts, such as a box opening room transformation in Tom and Jerry style, which the bot will generate in the correct format. -> Los usuarios pueden pedirle al bot que cree *prompts*, tales como una transformación de una habitación abriendo una caja al estilo de Tom y Jerry, que el bot generará en el formato correcto.* Users can adjust the prompt to their liking after it's generated by the bot. -> Los usuarios pueden ajustar el *prompt* a su gusto después de que sea generado por el bot.

Here's the translation of "Creative AI Examples" sentence by sentence:* **Creative AI Examples** - **Ejemplos de IA Creativa**

Aquí está la traducción del artículo frase por frase:* **Examples include a Pikachu-themed Pokeball bedroom and a Louis Vuitton luxury brand theme.** Ejemplos incluyen una habitación Pokeball con temática de Pikachu y una temática de marca de lujo Louis Vuitton.* **It suggests using the format for professional advertisements and demonstrates generating prompts for Samsung or Apple product launches.** Sugiere usar el formato para anuncios profesionales y demuestra cómo generar indicaciones para lanzamientos de productos de Samsung o Apple.* **A Ferrari advertisement is shown as another example.** Un anuncio de Ferrari se muestra como otro ejemplo.

Okay, I understand. Please provide the Starbucks commercial article or text you want me to translate into Spanish, sentence by sentence. I'm ready when you are!

Aquí se presenta un comercial de Starbucks generado por IA como un ejemplo, sugiriendo que podría reemplazar un comercial de \$100,000. Se muestra un anuncio de perfume, animando a los espectadores a intentar crear anuncios similares con las indicaciones proporcionadas. Las indicaciones y un registro para el boletín informativo están disponibles en la descripción.

Preguntas y respuestas relacionadas

VO3 Tree AI ads are a type of online advertisement that leverage artificial intelligence (AI) to deliver personalized and targeted advertising experiences. Here's a breakdown of what that means:* **VO3 Tree:** This likely refers to a specific company or technology platform that specializes in AI-powered advertising solutions. The "tree" part might allude to a branching decision process or a hierarchical data structure used in their AI algorithms. Without knowing the exact company, it's difficult to be more precise about their specific approach.* **AI-Powered:** Means that the ads are not generic; instead, they use AI algorithms to analyze various factors, such as user behavior, browsing history, demographics, interests, and contextual information, to determine which ads are most relevant and likely to resonate with a particular individual.* **Personalized:** Because of the AI analysis, the ads are tailored to the specific user. This can involve customizing the ad content, creative elements (like images or videos), or even the time and placement of the ad.* **Targeted:** The ads are shown to specific groups of people who are most likely to be interested in the product or service being advertised. AI helps identify and reach these target audiences more effectively than traditional advertising methods.**In summary, VO3 Tree AI ads are a form of sophisticated digital advertising that uses AI to understand individual users and serve them highly relevant and personalized ads, increasing the chances of engagement and conversion.**

Los anuncios de VO3 Tree AI son anuncios creados usando un nuevo formato de "prompting" llamado "JSON prompting" y se están volviendo virales.

JSON prompting is a technique used in the context of large language models (LLMs) designed to guide the model to generate output in JSON (JavaScript Object Notation) format. It essentially means crafting your prompts in a way that encourages the LLM to respond with a structured JSON object instead of free-form text.Here's a breakdown of what it involves and why it's useful:**Key Components:*** **Clear Instructions:** The prompt explicitly tells the LLM that it should format its output as a JSON object. This is the most crucial part.* **Schema Definition (Optional but Highly Recommended):** Providing a schema definition (either in natural language or a formal schema language like JSON Schema) significantly improves the consistency and predictability of the generated JSON. The schema specifies the expected fields, data types, and relationships within the JSON object.* **Examples (Optional):** Including examples of the desired JSON output format can further guide the LLM and make it more likely to produce accurate results.* **Contextual Information:** The prompt should also provide the necessary context and information that the LLM needs to populate the JSON object with relevant data. This includes the specific task or information required.**Why use JSON prompting?*** **Structured Data:** JSON provides a structured way to represent data, making it much easier to parse and use programmatically. Instead of having to parse potentially ambiguous natural language, you get well-defined fields and types.* **Automation:** JSON output is ideal for automation because it can be directly integrated into applications. Code can easily read and process the JSON data without needing to use complex natural language processing techniques.* **Reliability:** By specifying the expected format, you can improve the reliability and consistency of the LLM's output. This reduces the need for error handling and validation.* **Integration with Applications:** JSON is a widely supported data format, allowing seamless integration with various applications, databases, and APIs.* **Faciltates complex reasoning chains:** Enforcing a structured and well-defined format with JSON can help the LLM to focus on the core task instead of the output style.**Example:**Let's say you want the LLM to create a list of books with title, author, and publication year:**Without JSON Prompting (Less Effective):**`Write a list of books. For each book, include the title, author, and publication year.`This prompt might work, but it can easily lead to inconsistent formatting and ambiguities.**With JSON Prompting (More Effective):**```Generate a JSON array of books. Each book should have the following properties:* `title`: The title of the book (string).* `author`: The author of the book (string).* `year`: The publication year (number).Example:[ { "title": "The Lord of the Rings", "author": "J.R.R. Tolkien", "year": 1954 }]Now generate 3 more examples.```**Benefits of the improved prompt:*** **Explicit JSON Requirement:** Clearly states that the output must be a JSON array.* **Schema Definition:** Defines the fields and their data types.* **Example:** Provides an example of the desired format.**In summary, JSON prompting is a powerful technique for getting LLMs to generate structured data that is easy to parse, reliable, and suitable for programmatic use. By providing clear instructions, schema definitions, and examples, you can significantly improve the accuracy and consistency of the generated JSON output.**

La instrucción JSON es un método para estructurar tus prompts de video de manera que Google V3 pueda interpretarlos correctamente.

There isn't a single "recommended" platform for using JSON prompting for AI video generation, as the best choice depends heavily on your specific needs, technical expertise, budget, and desired level of control. However, here's a breakdown of popular options, categorized by their approach, with considerations for JSON prompting:**1. Cloud-Based Platforms (No-Code/Low-Code):*** **RunwayML:** Runway ML is a popular online platform that empowers creatives with AI tools for generating and manipulating media, including video. While not *explicitly* designed for JSON prompting in the same way as programmatic APIs, it allows for a decent degree of control over video generation through text prompts and style guides. Often, you define parameters *within* the RunwayML interface and then trigger those with variations of prompts. You could potentially indirectly use JSON by storing prompt variations and parameters in a JSON file and then using them to batch-generate videos through the interface. It's known for its user-friendly interface and pre-trained models.* **Synthesia:** Focuses on AI avatars and text-to-video with a strong emphasis on enterprise use cases. It allows you to create explainer videos with AI actors based on text scripts. While not directly JSON based, their API could integrate with JSON-formatted workflows for managing content and scripting.* **Pictory:** Another platform specializing in converting blog posts and scripts into videos. Similar to Synthesia, it's less about direct JSON manipulation but offers API access for automation, which could involve JSON-formatted data transfers to trigger video creation based on pre-defined templates and content.* **Simplified:** An all-in-one platform for design and content creation including video generation, using AI. May offer structured interfaces for defining video parameters but likely not direct JSON input.* **VEED.IO:** An online video editing and creation platform that probably offers some AI video tools, but unlikely using JSON format input.**Considerations for Cloud Platforms:*** **Pros:** Easy to use, requires no coding, and often has pre-trained models. Great for rapid prototyping and fast results. Lower technical barrier to entry.* **Cons:** Less control over the underlying AI models, limited customization, may have subscription fees, and data privacy concerns depending on the platform's policies. Direct JSON prompting functionality is rare; you'll often be working through the platform's UI or API, which might abstract away the JSON handling.**2. AI Model APIs (Programmatic):*** **Stable Diffusion (Via API Wrappers):** Stable Diffusion is a powerful open-source text-to-image model. While *primarily* for image generation, you can chain image sequences together to create videos. Many API wrappers expose parameters as JSON objects, making it a natural fit. Examples include: * **Replicate:** A platform simplifying the deployment and use of AI models, including Stable Diffusion. You send JSON requests to the Replicate API to generate images or videos. This is a great option if you want more control than a hosted platform but don't want to manage the infrastructure yourself. * **RunDiffusion/ThinkDiffusion:** These services provide cloud-based Stable Diffusion instances with user interfaces and APIs. Typically, you'll interact with them using JSON payloads to define prompts, parameters (steps, guidance scale, seed), and output settings.* **DALL-E 2 (OpenAI):** While DALL-E 2 is primarily for generating images, advancements in video generation techniques, particularly combining multiple images, make it relevant. It offers an API with JSON-based requests.* **Gen-2 by RunwayML (Via API):** While mentioned Runway in the first section, they also have an API for their Gen-2 model, which allows more programmatic control.**Considerations for AI Model APIs:*** **Pros:** Maximum control over the AI model and its parameters. High degree of customization. Can integrate into custom workflows.* **Cons:** Requires coding skills. You need to handle API authentication, error handling, and dealing with rate limits. You're responsible for managing your own infrastructure or relying on a service like Replicate/RunDiffusion, which adds cost. Steepest learning curve.**3. Self-Hosted Stable Diffusion (Advanced):*** **Local Installation of Stable Diffusion:** The most technically demanding option. You download and install Stable Diffusion (or similar models) on your own computer (ideally with a powerful GPU). You then use Python scripts and libraries (like `diffusers`) to interact with the model. JSON is commonly used to manage parameters and configuration in this context. This setup often requires significant technical knowledge.**Considerations for Self-Hosted Stable Diffusion:*** **Pros:** Complete control over everything. No external dependencies (after setup). No API costs or rate limits. Maximum privacy.* **Cons:** Significant technical expertise required (Python, machine learning, command line). High hardware requirements (powerful GPU). Steepest learning curve. You're responsible for all maintenance and troubleshooting.**Why JSON Prompting is Valuable:*** **Structured Data:** JSON provides a structured way to define prompts and parameters, making it easier to automate and manage complex video generation tasks.* **Reproducibility:** Using JSON files to store prompt configurations ensures that you can easily reproduce the same video or variations of it.* **Version Control:** You can use version control systems (like Git) to track changes to your prompts over time.* **Automation:** JSON is ideal for scripting and automating video generation workflows.* **Parameter Tuning:** Experiment with different settings (seed values, CFG scale, sampling methods) in a structured way.**How to Choose the Right Platform:**1. **Technical Skills:** If you're a developer, APIs and self-hosting are viable options. If you're not, cloud-based platforms are a better starting point.2. **Budget:** Cloud platforms usually have subscription fees or pay-per-use pricing. Self-hosting requires upfront investment in hardware. APIs have usage-based costs.3. **Control:** How much control do you need over the AI model and its parameters? APIs and self-hosting offer the most control.4. **Speed:** Some platforms are faster than others. Cloud platforms are often optimized for speed.5. **Specific Requirements:** Do you need specific features like character animation, lip-syncing, or scene transitions? Some platforms specialize in certain types of video generation.**In summary:*** **For beginners or those prioritizing ease of use:** Start with cloud-based platforms and explore their APIs.* **For developers who want more control:** Use AI model APIs (Replicate, RunDiffusion with Stable Diffusion, OpenAI).* **For advanced users with strong technical skills:** Set up Stable Diffusion locally.Remember to research the specific features and pricing of each platform before making a decision. Experiment with different options to find the one that best suits your needs.

Aquí tienes la traducción del artículo, oración por oración:* Open Art and Google Flow are the recommended platform for using JSON prompting and AI Video generation. -> Open Art y Google Flow son las plataformas recomendadas para usar indicaciones JSON y la generación de video con IA.* Open Art gives easy access to the AI video generators with multiple different subscriptions. -> Open Art ofrece un acceso fácil a los generadores de video con IA con múltiples suscripciones diferentes.

To give you the best recommendation for video generation, I need a little more information. Tell me about:* **What type of video do you want to produce?** (e.g., Explainer video, advertisement, short film, music video, social media clip, animated story, product demo)* **What's the topic or subject of the video?*** **How long should the video be?*** **What's your budget?** (This helps determine if you need a free/low-cost solution or can afford paid tools.)* **What skill level do you have?** (Beginner, intermediate, or experienced with video editing/creation tools?)* **Do you have any specific tools or platforms you'd like to use?*** **Do you have any existing assets available?** (e.g. Scripts, images, videos, audio)* **What is the desired style of the video?** (e.g., realistic, cartoonish, minimalist, abstract)* **Do you need AI video generation or is any form of generated video appropriate?*** **Do you have any examples of videos that you like?**Once I have a better understanding of your goals, I can provide more tailored suggestions. For example, depending on the answers, I might recommend options like:* **AI Text-to-Video Generators:** Useful for turning text prompts into simple videos.* **Animation Software:** Good for creating animated videos with characters and stories.* **Screen Recording Software:** Ideal for creating tutorials or demos.* **Video Editing Software:** Best for assembling footage, adding effects, and polishing your video.* **Stop Motion Animation:** A creative option for bringing physical objects to life.* **Live Action Filming:** Requires a camera, actors, and a shooting location.Looking forward to hearing more so I can help.

Okay, I'm ready. Please provide the article "Text to Video and Google V3" and I will translate it sentence by sentence into Spanish, without omissions.

You can find premade JSON prompts in a variety of places, depending on your needs and the context in which you're using them. Here's a breakdown of resources:**1. Prompt Engineering Platforms & Hubs:*** **Hugging Face Hub:** With the rise of large language models (LLMs), the Hugging Face Hub is becoming a central repository for prompts (including JSON-formatted prompts), model checkpoints, and datasets. Search for "prompts" and filter by "JSON" or tags related to specific tasks (e.g., "translation," "summarization," "classification"). Pay attention to the licenses and usage guidelines.* **PromptBase:** Websites like PromptBase offer marketplaces for prompts tested and optimized for specific AI models (like Midjourney, Stable Diffusion, ChatGPT, etc.). Search specifically for JSON prompts or those designed for structured output. These are often *paid*, but the prompts are more likely to be of higher quality and specifically tailored to a model's behavior.* **AI Prompt Subreddits (e.g., r/ChatGPTPro, r/PromptEngineering):** Reddit communities dedicated to AI and prompt engineering often share prompts, including examples of JSON-formatted prompts. Search within the subreddit for relevant keywords. The quality can vary, but you might find useful ideas and examples. Remember to critically evaluate prompts -- not everything on Reddit is good advice.**2. Open Source Projects & Repositories on GitHub:*** **Search GitHub:** Use GitHub's search functionality with keywords like "JSON prompt," "structured prompt," "LLM prompt," "data extraction prompt," along with the name of the language model you're using (e.g., "ChatGPT JSON prompt"). Look for repositories that contain example prompts or scripts that generate prompts in JSON format. Example searches that can be made: * `"JSON prompt" ChatGPT` * `"JSON schema prompt" OpenAI` * `"structured prompt" langchain`* **Consider Framework Repositories (LangChain, LlamaIndex, etc.):** Frameworks like LangChain and LlamaIndex often offer utilities and examples for crafting structured prompts, which might involve JSON output formats. Check their documentation and example notebooks for inspiration.**3. API Documentation & Tutorials:*** **LLM API Providers (OpenAI, Cohere, AI21 Labs, Google Cloud AI, AWS AI):** The API documentation for the LLMs you're using often includes examples of how to format prompts to request structured output. These examples frequently demonstrate how to use JSON to specify the desired structure. Review the API reference for parameters like `response_format` or any related settings.* **Online Tutorials and Blog Posts:** Search for tutorials that demonstrate how to use LLMs to generate JSON data. These tutorials often provide example prompts that you can adapt for your own purposes.**4. Community Forums & Q&A Sites:*** **Stack Overflow:** Search Stack Overflow for questions related to generating JSON with LLMs. You might find code snippets and example prompts in the answers.* **Other AI/ML Forums:** Platforms like the OpenAI Community or other AI/ML-specific forums often host discussions about prompt engineering, including how to generate structured output.**5. Research Papers & Publications:*** **Academic Databases (Google Scholar, arXiv):** While less common, some research papers focusing on structured output generation from LLMs might include examples of effective prompts. Search for keywords like "structured output generation," "information extraction with LLMs," or "JSON generation from text."**Tips for Finding and Using Premade JSON Prompts:*** **Be Specific:** Use precise search terms that describe the task you're trying to accomplish. For example, instead of "JSON prompt," try "JSON prompt for entity extraction" or "JSON prompt for product summary."* **Consider the LLM:** Prompts that work well for one LLM might not work as well for another. Tailor your search to the specific model you're using.* **Adapt and Experiment:** Don't expect a premade prompt to work perfectly out of the box. You'll likely need to adapt it to your specific requirements and experiment with different variations to optimize its performance.* **Understand the Prompt Engineering Principles:** Learn the best practices for prompt engineering to better evaluate and modify existing prompts. Key principles include clarity, specificity, using delimiters (e.g. `###`), providing examples (few-shot prompting), and guiding the model's output.* **Validate the JSON:** Always validate the generated JSON using a JSON validator to ensure that it's properly formatted and can be parsed by your application. Tools like `jq` are very helpful for this. You can also specify a JSON schema for the expected output.* **Security Considerations:** If you're using prompts from untrusted sources, be cautious about potential security risks. Malicious prompts could cause the LLM to generate harmful or unexpected output. Sanitize your inputs and outputs to mitigate these risks.By exploring these resources and keeping these tips in mind, you'll be well-equipped to find and use premade JSON prompts effectively. Remember that prompt engineering is an iterative process, so be prepared to experiment and refine your prompts to achieve the desired results.

El enlace para el bot personalizado/Indicaciones JSON está en la descripción.

Más recomendaciones de videos

Compartir a: