Вот как я автоматизировал создание вирусных AI-видео БЕСПЛАТНО (n8n + Veo 3).

#Заработок
2025-08-06 20:0221 минут

Введение в содержание

Этот видеоурок объясняет, как автоматизировать создание кинематографических AI видео с использованием V3 модели Google через Vertex AI и инструмент автоматизации N8N. Он проводит зрителей через процесс настройки бесплатной учетной записи Google Cloud, получения доступа к V3 и создания автоматизированного рабочего процесса для генерации видеоидей, подсказок и финальных видео, которые регистрируются в Google Sheets. В учебнике представлено пошаговое руководство, включающее использование HTTP-запросов для интеграции, декодирование видеофайлов, закодированных в base64, и загрузку видео на Google Drive. Предоставляется JSON-файл с рабочим процессом, который позволяет зрителям создать видеодвижок менее чем за 10 минут.

Ключевая информация

  • Видео демонстрирует, как автоматизировать создание AI-видео с помощью V3 модели Google, N8N и Google Sheets.
  • Вот перевод статьи по предложениям:* It covers creating a Google Cloud account, accessing Vertex AI Studio, and utilizing V3 for video generation. * Он охватывает создание учетной записи Google Cloud, получение доступа к Vertex AI Studio и использование V3 для генерации видео.
  • Процесс разделен на три этапа: генерация идеи и запроса, генерация видео и сохранение данных в Google Sheets.
  • N8N используется в качестве инструмента автоматизации для подключения различных сервисов и автоматизации процесса создания видео.
  • В описании приведена неожиданная ссылка с точным файлом N8N и JSON для задокументированного процесса.

Анализ временной шкалы

Ключевые слова содержания

Okay, I'm ready. Please provide the article "VO3 & Vertex AI", sentence by sentence, and I will translate each sentence into Russian.

Вот видео, в котором представлен метод создания видео, сгенерированных искусственным интеллектом, с использованием модели VO3 от Google через Google Vertex AI Studio. В нем подчеркивается использование Google Cloud Platform с бесплатными кредитами для новых пользователей, чтобы экспериментировать с созданием видео.

Okay, I will translate the sentence "Automation with N8N" sentence by sentence.**Automation with N8N** -> **Автоматизация с помощью N8N.**

Вот как автоматизировать создание видео с помощью N8N, инструмента автоматизации с открытым исходным кодом. В видео процесс автоматизации разбит на три этапа: генерация идеи и подсказки, генерация видео и сохранение всего в Google Sheet.

Okay, I'm ready. Please provide the article you want me to translate sentence by sentence into Russian. I will translate each sentence as accurately as possible, without omitting anything. Just paste the text here.

Вот подробное описание процесса настройки AI-агента с Google Gemini для генерации идей и подсказок. Подчеркивается структурирование результатов работы AI в формате JSON для улучшения автоматизации.

Okay, I'm ready. Please provide the article you want me to translate sentence by sentence into Russian. I will translate each sentence as you give it to me.

Видео описывает, как вручную создать интеграцию с Google Vortex для генерации видео, используя HTTP-запросы, поскольку прямой интеграции не существует. Для этого необходимо собрать значения из Google Cloud Project и использовать токен доступа из облачной оболочки.

Конвертация и загрузка видеофайлов.

Вот перевод статьи по предложениям:* **The video explains how to fetch the generated video, decode the base64 encoded video file into an MP4 file, and use Google Drive to upload the converted video.** Видео объясняет, как получить сгенерированное видео, декодировать видеофайл в кодировке base64 в файл MP4 и использовать Google Drive для загрузки преобразованного видео.* **The final step involves updating a Google Sheet with a sharable drive link for the video.** Последний шаг включает в себя обновление Google Sheets ссылкой на диск общего доступа для видео.

Okay, please provide the article (or the link to it) that you want me to translate into Russian, sentence by sentence. Once you provide the text, I will translate it accordingly.

Зрителям предоставляется готовый JSON-файл, чтобы им не приходилось начинать полностью с нуля.

Связанные вопросы и ответы

"V3" is a general term that can refer to the third version of something. Without more context, it's impossible to say specifically what it means. Here are some possibilities:* **Software/APIs:** It can refer to the third major version of a piece of software, an API (Application Programming Interface), or a library. For example, "React v3" (hypothetical) refers to version 3 of the React library.* **Hardware:** The third iteration of hardware, such as a smartphone model, a specific piece of equipment, car engine design, etc.* **Protocols:** Like communication protocols or other types of standardized methods. * **Specific company products/services:** A shorthand specific to a particular company for the third release of a named product.* **General usage:** Simply the third version or iteration of anything within a specific discussion.To understand what "V3" means, you need to **provide more context**. What are you talking about? What topic are you researching or discussing?

V3 - это самый мощный видеоинструмент Google, способный создавать умопомрачительные видео.

To give you the best answer, I need to know what "V3" refers to. Please provide more context. For example, are you talking about:* **A specific software program or library?** (e.g., "How do I access the V3 API of [software name]?")* **A website or online service?** (e.g., "How do I access V3 of the [website name] platform?")* **A version of a hardware device?** (e.g., "How do I access the settings on my [device name] V3?")* **Something else entirely?**The more information you give me, the more specific and helpful my answer can be.

Вы можете получить доступ к модели V3 от Google через Google Vertex AI Studio.

The Google Cloud Platform (GCP) offers both a free tier and a free trial.

Да, создание аккаунта в Google Cloud Console абсолютно бесплатно.

When you create a Google Cloud Platform (GCP) account, you get the following:* **Free Tier:** A certain amount of GCP resources are offered free of charge within specific usage limits during the free tier period, which lasts for 90 days. It includes monetary credit in addition to "always-free" services.* **Free Trial Credit:** GCP typically provides a free trial credit (e.g., $300 USD) to new users. You can use this credit to explore and experiment with GCP services before your credit runs out or the trial period ends.* **Access to GCP Services:** You gain access to the wide range of cloud computing services that GCP offers, including: * **Compute Engine:** Virtual machine instances. * **Cloud Storage:** Object storage. * **Kubernetes Engine (GKE):** Container orchestration. * **BigQuery:** Data warehousing and analytics. * **Cloud Functions:** Serverless compute. * And many more services for databases, networking, AI/ML, and more.* **Google Cloud Console Access:** You get access to the Google Cloud Console, a web-based interface where you can manage your GCP resources, configure services, monitor usage, and access documentation.* **Project Management:** You can create and manage projects. Projects are used to organize and isolate your GCP resources.* **Identity and Access Management (IAM):** You can manage user access and permissions to your GCP resources using IAM. This allows you to control who can access and modify your data and services.* **Support:** Access to Google Cloud support resources, including documentation, forums, and paid support plans (depending on your needs).* **Billing Account:** A billing account is created to manage your GCP costs. You'll need to link a payment method to the billing account. You will only be charged if you explicitly upgrade to a paid account and your usage exceeds the free tier limits.In summary, you get a playground to learn and experiment with cloud computing, access to powerful tools and services, and a framework for managing your cloud resources through project management, IAM, and billing controls.

Вы получаете бесплатных кредитов на сумму 300 долларов США на 90 дней.

Okay, here's a breakdown of what Vertex AI is, in a way that's (hopefully) easy to understand:**In short:** Vertex AI is Google Cloud's unified platform for machine learning (ML). Think of it as a one-stop-shop for building, deploying, and managing your AI models.**In more detail:*** **Unified Platform:** Before Vertex AI, Google Cloud had various separate services for different parts of the ML lifecycle. Vertex AI brings all of these capabilities together into a single, integrated environment. This includes tools for: * **Data Preparation:** Getting your data ready for training. * **Model Training:** Building your ML models (using AutoML, custom code, or pre-trained models). * **Model Deployment:** Putting your models into production so they can be used to make predictions. * **Model Management:** Monitoring model performance, retraining models, and managing different versions.* **Simplified ML Lifecycle:** One of Vertex AI's main goals is to make the whole ML development process easier and faster. By integrating all the tools in one place, it reduces the complexity of moving between different services.* **For Different Skill Levels:** Vertex AI caters to a variety of users, from those who want to use AutoML (which requires little to no coding) to experienced ML engineers who want to build custom models using their own code and frameworks (like TensorFlow, PyTorch, and scikit-learn).* **Key Features and Benefits:** * **AutoML:** Train high-quality models with minimal code or ML expertise. It automatically handles things like feature engineering and model selection. * **Custom Training:** Use your own code and frameworks to build highly customized models. * **Pre-trained Models:** Leverage Google's powerful pre-trained models for tasks like image recognition, natural language processing, and translation. * **Feature Store:** A central repository for storing and managing features (the inputs used by your models). This helps ensure consistency and reusability. * **Experiment Tracking:** Keep track of different model training runs and compare their performance. * **Model Monitoring:** Monitor your deployed models for issues like data drift (changes in the input data) or prediction accuracy degradation. * **Explainable AI:** Understand why your models are making certain predictions. (This is important for building trust and identifying biases.)* **Why is it useful?** * **Faster Development:** Get models into production more quickly. * **Improved Model Performance:** Access to powerful training infrastructure and tools for optimizing model performance. * **Lower Costs:** Optimize resource usage and reduce operational overhead. * **Better Governance:** Easier to manage and monitor your ML models.**In essence, Vertex AI is Google Cloud's attempt to democratize AI, making it more accessible to a wider range of businesses and individuals by providing a comprehensive and user-friendly platform for machine learning.**

Vertex AI - это инструмент Google, который позволяет вам создавать видеоролики, используя модель V3 и инструмент автоматизации.

I'm sorry, I do not have access to the contents of videos, so I cannot answer your question about whether there is a surprise at the end of this video.

Да, в конце видео вас ждет сюрприз.

Okay, here are three simple steps to break down the entire automation process:1. **Identify and Define:** Clearly pinpoint the specific task or process you want to automate. Define the inputs, steps, and desired outputs of that process with as much detail as possible.2. **Plan and Design:** Outline the automation workflow. Determine the tools, technologies, or software you will use to automate each step. Consider how data will flow and how potential errors or exceptions will be handled.3. **Build, Test, and Deploy:** Develop the automation solution according to your plan. Thoroughly test it with various scenarios to ensure it's working correctly. Finally, deploy the automation into your production environment and monitor its performance.

Три этапа включают в себя генерацию идеи и запроса, генерацию видео и хранение всего.

To give you the most accurate answer, I need to know **which automation workflow** you're asking about. Different platforms and tools have different trigger options.Please tell me:* **What platform or software are you using?** (e.g., Zapier, IFTTT, Make (formerly Integromat), ActiveCampaign, HubSpot, Google Apps Script, a specific CRM or project management tool, etc.)* **What kind of automation are you trying to build?** (e.g., connect apps, manage email marketing, control smart home devices, etc.)Once I have that information, I can tell you the specific trigger options available.For example:* **Zapier:** Has triggers for almost any action in thousands of apps (new email, new lead in CRM, new file upload, etc.).* **IFTTT:** Offers triggers for services like Gmail, Twitter, smart home devices, and weather conditions.* **HubSpot Workflows:** Can be triggered by form submissions, changes to contact properties, deal stage changes, etc.* **Make (Integromat):** Supports a vast range of triggers from polling for new data to instant webhooks.Looking forward to helping you once I have specifics!

Вы можете установить ручной триггер или триггер по расписанию, который запускается ежедневно или по пользовательскому расписанию.

Please provide me with the article you would like me to translate. Once you provide the text, I will translate it sentence by sentence into Russian.

Инструмент "подумать" предлагает AI-агенту подумать перед ответом, что полезно для сложных запросов, позволяя AI сначала поговорить с самим собой.

Please provide the article you want me to translate into Russian. Once you provide the text, I will translate it for you sentence by sentence, without omitting any sentences.

Вам нужно открыть Cloud Shell и запустить код, затем вы получите токен доступа из Cloud Shell.

Unfortunately, there is no widely known or publicly documented direct integration between "Google Vortex" and "N10".Here's why:* **Google Vortex Likely Refers to TPUs:** "Google Vortex" is not an official product name that Google uses. It's more likely a codename or internal term that may refer to Google's Tensor Processing Units (TPUs). TPUs are specialized hardware accelerators designed for machine learning workloads.* **N10 Ambiguity:** "N10" could refer to several different products (e.g., a phone model, a semiconductor manufacturing process, etc.). Without more context, it's difficult to determine the specific N10 you're asking about.* **TPU Integration:** TPUs are typically accessed through Google Cloud services like: * Google Colaboratory * Google Cloud TPUs * TensorFlow Research Cloud * Vertex AI* **General Hardware Acceleration:** Some N10 products may have hardware acceleration capabilities (like GPUs or other custom processing units) that can be used with machine learning frameworks like TensorFlow or PyTorch. However, this wouldn't be a direct "integration" with TPUs. Instead, you'd be using them as separate hardware accelerators.**In summary:** It's unlikely that there's a direct, officially supported integration called "Google Vortex" with any product labeled "N10". The term "Google Vortex" likely points to TPU usage, and integration with TPUs is generally done via the Google Cloud ecosystem. You would need to provide much more specific details about the "N10" product you have in mind.

К сожалению, прямой интеграции между Google Vortex и каким-либо N10 нет, вам придется создавать ее вручную с помощью HTTP-запроса.

Please provide me with the article you want me to translate. I need the text of the article to be able to translate it sentence by sentence into Russian. Once you give me the article, I will translate it for you.

Видео закодировано в формате Base64, вам нужно декодировать видео, чтобы преобразовать его в ampp4 файл.

Yes, n8n workflows can be exported and imported as JSON files. This JSON file contains all the information about the nodes, their configurations, connections, and other settings that define the workflow.

Хорошо, да, есть другое время, и JSON-файл был привязан для всего рабочего процесса в описании этого видео.

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