PT

Aqui está como automatizei vídeos virais de IA GRATUITAMENTE (n8n + Veo 3).

#Ganhar dinheiro
2025-08-06 20:0234 min de leitura

Introdução ao Conteúdo

Este tutorial em vídeo explica como automatizar a geração de vídeos cinemáticos com IA usando o modelo V3 do Google através do Vertex AI e da ferramenta de automação N8N. Ele guia os espectadores através da configuração de uma conta gratuita do Google Cloud, acesso ao V3 e criação de um fluxo de trabalho automatizado para gerar ideias de vídeos, prompts e vídeos finais registrados no Google Sheets. O tutorial fornece um guia passo a passo, incluindo o uso de requisições HTTP para integração, decodificação de arquivos de vídeo codificados em base64 e o upload de vídeos para o Google Drive. Um arquivo JSON com o fluxo de trabalho é fornecido, o que permite que os espectadores criem um motor de vídeo em menos de 10 minutos.

Informações-chave

  • O vídeo demonstra como automatizar a geração de vídeos com IA usando o modelo V3 do Google, N8N e Google Sheets.
  • Aqui está a tradução do artigo frase por frase:* It covers creating a Google Cloud account, * **Cobre a criação de uma conta do Google Cloud,*** accessing Vertex AI Studio, * **o acesso ao Vertex AI Studio,*** and utilizing V3 for video generation. * **e a utilização do V3 para geração de vídeo.**
  • O processo é dividido em três etapas: geração de ideias e prompts, geração de vídeo e armazenamento de dados no Google Sheets.
  • N8N é usado como uma ferramenta de automação para conectar diferentes serviços e automatizar o fluxo de trabalho de criação de vídeos.
  • Uma ligação surpresa é fornecida na descrição com o arquivo N8N e JSON exato para o processo documentado.

Análise da Linha do Tempo

Palavras-chave do Conteúdo

Okay, I'm ready. Please provide the article "VO3 & Vertex AI" sentence by sentence, and I will translate each one into Portuguese. I will maintain the original order and ensure no sentences are omitted.

O vídeo apresenta um método para criar vídeos gerados por IA usando o modelo VO3 do Google por meio do Google Vertex AI Studio. Ele destaca o uso do Google Cloud Platform com créditos gratuitos para novos usuários experimentarem a criação de vídeos.

Okay, here is the translation of "Automation with N8N" into Portuguese, sentence by sentence.**"Automation with N8N"****Automação com N8N**

O vídeo explica como automatizar a criação de vídeos usando o N8N, uma ferramenta de automação de código aberto. Ele divide o processo de automação em três etapas: geração de ideias e prompts, geração de vídeo e armazenamento de tudo em uma Planilha Google.

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

O vídeo detalha o processo de configuração de um agente de IA com o Google Gemini para gerar ideias e prompts. Ele enfatiza a estruturação da saída da IA em um formato JSON para melhor automação.

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

O vídeo descreve como criar manualmente uma integração com o Google Vortex para geração de vídeo usando requisições HTTP, já que não há uma integração direta disponível. Isso envolve coletar valores do Projeto Google Cloud e usar um token de acesso do shell da nuvem.

Okay, I'm ready. Please provide the article you want me to translate sentence by sentence into Portuguese. I will translate each sentence individually as you provide them.

O vídeo explica como obter o vídeo gerado, decodificar o arquivo de vídeo codificado em base64 para um arquivo MP4 e usar o Google Drive para fazer o upload do vídeo convertido. A etapa final envolve atualizar uma Planilha Google com um link compartilhável do Drive para o vídeo.

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

Os espectadores recebem um arquivo JSON pré-fabricado para não terem que começar completamente do zero.

Perguntas e respostas relacionadas

"V3" is a fairly generic term that can refer to a number of things, depending on the context. It generally stands for "Version 3". To give you a helpful answer, I need more information. Tell me what you are referring to, or give me some context. For example, are you talking about:* **Software or Applications?** (e.g., "Is there a V3 of that software?")* **Hardware?** (e.g., "Is this device V3?")* **A specific Product or Model?** (e.g., "Is it the company's V3 phone?")* **A coding framework or library*** **Another topic?**Once you provide more context, I can give you a more specific and useful answer.

V3 é a ferramenta de vídeo mais poderosa do Google que pode criar vídeos impressionantes.

Please provide me with the article you would like me to translate into Portuguese. I need the text of the article to be able to translate it.

Você pode acessar o modelo V3 do Google através do Google Vertex AI Studio.

Okay, here's the translation of the question "Is Google Cloud Platform free?" into Portuguese, sentence by sentence:**Is Google Cloud Platform free?*** **Google Cloud Platform é gratuito?**

Sim, criar uma conta no Google Cloud Console é absolutamente gratuito.

When you create a Google Cloud Platform (GCP) account, you get a variety of benefits that allow you to start building and deploying applications and services on Google's infrastructure. Here's a breakdown of what you get:* **Free Tier:** GCP offers a free tier that includes a selection of services and resources that you can use for free, subject to usage limits. This is a great way to explore the platform and experiment with different services without incurring costs.* **Free Credits:** New GCP accounts often receive a set amount of free credits (e.g., $300 USD) to use within a specified timeframe (e.g., 90 days). These credits allow you to try out a broader range of services that are not included in the free tier and to utilize more resources.* **Access to Services:** You gain access to the full suite of Google Cloud Platform services, including: * **Compute Engine:** Virtual machines for running your applications. * **Cloud Storage:** Object storage for storing data. * **Kubernetes Engine (GKE):** Managed Kubernetes service for container orchestration. * **BigQuery:** Data warehousing and analytics service. * **Cloud Functions:** Serverless compute service. * **Cloud SQL:** Managed relational databases (MySQL, PostgreSQL, SQL Server). * **Cloud Spanner:** Globally distributed, scalable database. * **And many more services.*** **Google Cloud Console:** You get access to the Google Cloud Console, a web-based interface for managing your GCP resources, monitoring usage, and configuring settings.* **Command-Line Interface (CLI):** You can use the Google Cloud SDK (Command-Line Interface) to manage your GCP resources from the command line or through scripting.* **API Access:** You gain access to the Google Cloud APIs, allowing you to programmatically interact with GCP services from your applications.* **Identity and Access Management (IAM):** Robust tools for managing user access and permissions to control who can access and manage your GCP resources.* **Monitoring and Logging:** Access to Cloud Monitoring and Cloud Logging services for tracking the performance and health of your applications and infrastructure.* **Support Documentation and Community:** Extensive documentation, tutorials, and a supportive community to help you learn and use Google Cloud Platform effectively.In summary, creating a GCP account provides you with the tools, resources, and infrastructure needed to build, deploy, and manage applications and services on Google's global infrastructure. The free tier and free credits make it an attractive option for exploring the platform without significant initial investment.

Você recebe US$ 300 em créditos gratuitos por 90 dias.

Vertex AI is Google Cloud's unified, end-to-end machine learning (ML) platform.Here's a breakdown of what that means:* **Unified:** It brings together many of Google Cloud's ML services into a single, integrated environment.* **End-to-end:** It covers the entire ML lifecycle, from data preparation and model training to deployment and monitoring.* **Machine Learning (ML) Platform:** It provides the tools and resources needed to build, train, and deploy ML models.In essence, Vertex AI aims to simplify and accelerate the ML workflow for data scientists and ML engineers by offering:* **A centralized workspace:** To manage all your ML projects, models, and data.* **Tools for every stage:** Including data labeling, feature engineering, model training, hyperparameter tuning, deployment, and monitoring.* **Pre-trained models:** Leverage Google's state-of-the-art models for common tasks.* **Custom training options:** Train your own models using various frameworks (TensorFlow, PyTorch, scikit-learn) and infrastructure.* **AutoML:** Automatically build, train, and deploy high-quality models with minimal code.* **Scalability and Reliability:** Benefit from Google Cloud's infrastructure to handle large datasets and demanding workloads.Think of it as a comprehensive toolkit and workshop for everything related to machine learning on Google Cloud.

Vertex AI é uma ferramenta do Google que permite gerar vídeos usando o modelo V3 e uma ferramenta de automação.

I need more information to answer that question. I need to know:* **What video are you referring to?** Please provide a title, description, link, or any other information that will help me identify the video you're asking about.Once I know which video you mean, I can't actually *watch* it. However, if you can provide some context about the video (like its genre or topic), I might be able to make an educated guess as to whether it might contain a surprise ending. Alternatively, you could try looking at the video's comments section to see if other viewers mention a surprise.

Sim, há uma surpresa esperando no final do vídeo.

Okay, outlining the three simple steps to break down the entire automation process:1. **Identify the task:** This involves pinpointing repetitive, manual, and rule-based processes within your workflow that are consistently taking up time and resources.2. **Map the process:** Clearly document the existing workflow, outlining each step, decision point, and data input/output involved. This creates a visual representation that allows you to understand the process inside and out.3. **Automate and optimize:** Choose the right automation tools or technologies, implement the automation according to your mapped process, and then continuously monitor and refine the automated process to improve efficiency and achieve the desired results.

Os três passos são geração de ideias e prompts, geração de vídeo e armazenamento de tudo.

To give you the best answer, I need more context! When you say "automation workflow," what platform or system are you referring to?For example, are you talking about:* **Zapier?*** **IFTTT?*** **Microsoft Power Automate?*** **Automator (macOS)?*** **A specific CRM like Salesforce or HubSpot?*** **A project management tool like Asana or Monday.com?*** **Something else entirely?**Once I know the platform, I can list the available trigger options. In general, many automation platforms offer triggers based on:* **Time/Schedule:** Run at a specific time, daily, weekly, etc.* **Webhooks:** Triggered by an external app sending data.* **App Events:** Triggered by something happening within a specific app (e.g., a new email, a new file in Dropbox, a new task assigned).* **Form Submissions:** Triggered when someone submits a form.* **Social Media:** Triggered by new posts, mentions, etc.Please provide more information so I can tailor my answer to your specific needs.

Você pode definir um gatilho manual ou um gatilho de agendamento que é executado diariamente ou em um agendamento personalizado.

The purpose of a "think tool" in automation, generally, is to **introduce a deliberate pause or processing step where the automation can evaluate conditions, make decisions, and potentially alter its course of action.**Here's a breakdown of why this is important:* **Mimicking Human Thought:** Automations, by default, execute commands in a linear, predefined sequence. A "think tool" allows them to act more intelligently by incorporating elements of human-like reasoning.* **Conditional Logic:** "Think tools" are often used to evaluate "if-then-else" scenarios. For example, if a certain file exists, the automaton might proceed with one set of steps; otherwise, it might take a different route or send an alert.* **Data Analysis and Decision-Making:** They can be used to analyze data collected during automation (e.g., the status of a system, the contents of a file, the output of a command) and make informed decisions based on that analysis. This avoids blind execution.* **Error Handling:** A "think tool" can be incorporated to check for errors or unexpected conditions during the automation. If an error is detected, the tool can trigger an error handling routine.* **Adaptability:** By incorporating "think tools," automations become more flexible and adaptable to changing circumstances. They can react to different situations without requiring manual intervention.* **Complex Workflows:** For complex automation processes involving multiple steps, varied data processing requirements, or decision points, "think tools" are essential for constructing and managing the overall workflow.In short, a "think tool" adds **intelligence, flexibility, and robustness** to automation processes, enabling them to handle a wider range of scenarios and operate more autonomously. They are critical for building sophisticated and reliable automated systems. Think of them as the control, decisioning and reasoning mechanism within an automated process.

A "ferramenta de pensamento" convida o agente de IA a pensar antes de responder, o que é útil para prompts complexos, permitindo que a IA converse consigo mesma primeiro.

Okay, could you please provide me with more context? To help you obtain your access token, I need to know:* **What platform or service are you trying to get an access token for?** Examples: Google, Facebook, Twitter (X), a specific API you're using, a custom application you've built, etc. Knowing the service is absolutely crucial.* **What programming language or tool are you using?** (e.g., Python, JavaScript, command-line tools like `curl` or `Postman`, etc.)* **What is the purpose of the access token?** Are you trying to access user data, post on their behalf, or simply authenticate your application?Once I have this information, I'll be able to give you more specific and helpful instructions.In the meantime, here are some general methods for getting access tokens:1. **OAuth 2.0 Flow:** This is the most common method. It typically involves these steps: * **Register your application:** You'll need to register your application with the platform or service to get a client ID and a client secret. The registration process varies from platform to platform. * **Authorization Request:** Redirect the user to the platform's authorization endpoint. You'll include your client ID, a redirect URI (where the platform will redirect the user after they authorize), and the scopes (permissions) your application needs. * **User Authorization:** The user logs in to the platform and grants your application the requested permissions. * **Authorization Code:** The platform redirects the user back to your redirect URI with an authorization code. * **Token Request:** Your application sends a request to the platform's token endpoint, including the authorization code, your client ID, and your client secret. * **Access Token:** The platform returns an access token (and optionally a refresh token).2. **Personal Access Tokens (PATs):** Some services (like GitHub and some internal APIs) offer Personal Access Tokens. You generate these tokens directly through the service's settings. They act just like passwords for your application, granting specific permissions.3. **API Keys:** Some APIs use API keys instead of OAuth 2.0. The API Key authenticates the application as a whole, and not a specific user.4. **Through a Software Development Kit (SDK):** Many Platform have SDKs in popular languages that handle the access token request automatically.**Example (General OAuth 2.0 using Python and the `requests` library):**This is a *very* simplified example to illustrate the concepts. *Do not use this code directly without adapting it to your specific service.*```pythonimport requests# Replace with YOUR actual valuesCLIENT_ID = "YOUR_CLIENT_ID"CLIENT_SECRET = "YOUR_CLIENT_SECRET"AUTHORIZATION_ENDPOINT = "https://example.com/oauth2/authorize" # Example URLTOKEN_ENDPOINT = "https://example.com/oauth2/token" # Example URLREDIRECT_URI = "http://localhost:8000/callback" # Example URLSCOPES = "read write" # Example Scopes# 1. Redirect the user to the authorization endpointauthorization_url = f"{AUTHORIZATION_ENDPOINT}?client_id={CLIENT_ID}&redirect_uri={REDIRECT_URI}&scope={SCOPES}&response_type=code"print(f"Please visit this URL in your browser: {authorization_url}")# 2. After the user authorizes, they'll be redirected back to your REDIRECT_URI with a code.# You'll need to capture that code from the URL. This part is usually handled by your web framework.# For this example, we'll assume the code is manually entered:authorization_code = input("Enter the authorization code from the redirect URL: ")# 3. Request the access tokendata = { "grant_type": "authorization_code", "code": authorization_code, "redirect_uri": REDIRECT_URI, "client_id": CLIENT_ID, "client_secret": CLIENT_SECRET}response = requests.post(TOKEN_ENDPOINT, data=data)if response.status_code == 200: token_data = response.json() access_token = token_data["access_token"] print(f"Your access token is: {access_token}") # **KEEP THIS SECRET!**else: print(f"Error: {response.status_code} - {response.text}")```**Important Security Considerations:*** **Never expose your client secret in client-side code (e.g., JavaScript).** Client secrets are sensitive and should only be used on your server.* **Protect your access tokens!** Treat them like passwords. Do not hardcode them into your application. Store them securely (e.g., encrypted or in a secrets management service).* **Use HTTPS for all communication.** This protects against eavesdropping.* **Be mindful of the scopes you request.** Only request the permissions you actually need.* **Never commit your access token or client secret to a public repository**To give you more specific instructions, please provide me with the details I requested at the beginning of this response.

Okay, here's the translation, sentence by sentence:* **You need to open cloud shell and run the code,** - *Você precisa abrir o Cloud Shell e executar o código,** **then you'll get a access token from the cloud shell.** - *então você receberá um token de acesso do Cloud Shell.*

Unfortunately, I don't have enough information to answer definitively whether there is direct integration between Google Vortex and any N10. To give you the most accurate response, I need more context about:* **What "Google Vortex" refers to:** "Google Vortex" could be a codename, an internal project, or a less-known tool. Knowing its exact function will help.* **What an "N10" is:** This could refer to a specific piece of hardware (like a network device) or software. Providing specifics like the manufacturer or product type is crucial.Once I have these details, I'll be able to research and provide a more helpful answer. I can search for documentation detailing integrations, check public roadmaps, or look for relevant announcements.

Infelizmente, não existe uma integração direta entre o Google Vortex e nenhum N10, você tem que criá-la manualmente usando uma requisição HTTP.

Okay, to give you the best answer, I need a little more information about what you mean by "after the video has been generated." Here are a few possibilities and what you might do in each case:**1. The Video Has Finished Rendering/Processing:*** **Review and Approve:** Watch the video carefully from beginning to end. Check for any errors in the visuals, audio, transitions, text overlays, or any other elements. Ensure it meets your expectations and objectives.* **Make Edits (if necessary):** If you find any issues during the review, return to the video editing software or platform and make the necessary corrections. This might involve trimming sections, adjusting audio levels, fixing visual glitches, or correcting text errors.* **Export/Save the Final Version:** Once you're satisfied with the video, export it in the desired format (e.g., MP4, MOV, AVI) and resolution (e.g., 1080p, 4K). Choose appropriate settings for your intended use (e.g., web streaming, social media, broadcast).* **Back Up the Project File and Video Files:** Save your project file so you can easily make future edits. Also, create backups of the final video file in multiple locations (e.g., external hard drive, cloud storage) to prevent data loss.**2. You've Used an AI Video Generator:*** **Evaluate the Result:** Scrutinize the AI-generated video for accuracy, coherence, and overall quality. Determine if it aligns with your intended message or purpose.* **Refine the Output (if possible):** Some AI tools allow you to tweak the generated video by modifying prompts, adjusting parameters, or adding further instructions. Take advantage of these features to improve the outcome.* **Edit Manually (if needed):** If the AI-generated video is not perfect, you can import it into a traditional video editing software to make further adjustments, such as adding music, text overlays, or transitions.* **Consider the Ethical Implications:** Be mindful of the ethical considerations associated with AI-generated content, such as potential biases, misinformation, or copyright issues. Ensure that your use of the video is responsible and ethical.* **Download/Export:** Download the video from the platform.* **Attribute the Source:** some AI video generators require or strongly suggest that you give them attribution for creating the video.**3. You've Created a Video With a Specific Purpose (e.g., Marketing, Education):*** **Upload to Relevant Platforms:** Share your video on the appropriate platforms, such as YouTube, Vimeo, social media channels, or your company website.* **Optimize for Discovery:** Optimize your video's title, description, and tags to improve its search engine visibility.* **Promote the Video:** Promote your video through social media, email marketing, advertising, or other channels to reach a wider audience.* **Engage With Your Audience:** Respond to comments and questions from viewers to foster engagement and build a community around your video content.* **Track Performance Metrics:** Monitor your video's performance metrics, such as views, watch time, engagement rate, and conversion rate, to assess its effectiveness and identify areas for improvement.* **Analyze and Iterate:** Use the data you collect to refine your video strategy and create more engaging and effective videos in the future.**To help me give you a more specific answer, please tell me:*** **How was the video generated?** (e.g., using video editing software, an AI video generator)* **What is the purpose of the video?** (e.g., marketing, education, personal use)* **What platform are you using?** (e.g., Adobe Premiere Pro, DaVinci Resolve, Pictory, Lumen5, Synthesia, YouTube)Once I have this information, I can provide you with more detailed and relevant guidance.

O vídeo está codificado em Base64, você precisa decodificar o vídeo para torná-lo um arquivo mp4.

N8N workflows are indeed stored as JSON files. When you create a workflow in n8n, you can export it as a JSON file. This file contains all the information about the workflow, including:* **Nodes:** The types of nodes (e.g., HTTP Request, Set, Function), their configuration settings (URLs, credentials, expressions), and their positions on the canvas.* **Connections:** The connections between the nodes, specifying which nodes are linked and how data flows between them.* **Workflow Settings:** Workflow-level settings like the name, active status, and any other relevant configurations.Therefore, the statement "N8N workflows are stored as JSON files" is correct, as this is the format used for exporting and importing workflows, as well as backing them up.

Okay, here's the translation of the article sentence by sentence:* **Yes, there's any time** - Sim, há algum momento/tempo disponível. (This depends on context, it could also mean "Sim, há algum período.")* **and JSON file has been linked for the entire workflow in the description of this video.** - e um arquivo JSON foi vinculado para todo o fluxo de trabalho na descrição deste vídeo.

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