How to Automate INCREDIBLE Midjourney Images
TLDRThis video tutorial demonstrates how to automate the creation of stunning mid-journey images tailored for social media, using AI and various APIs. The process involves fetching breaking news, converting it into text, crafting viral social media posts, and generating high-quality images with Mid Journey. The result is a fully automated workflow that outputs to Google Docs, showcasing the seamless integration of AI in content creation and the potential for personalized, engaging social media content.
Takeaways
- 🌟 The video presents a method to automate the creation of high-quality images using mid-journey AI technology for social media posts.
- 🔧 The process involves setting up an automation that triggers on breaking news, creating customized viral content for social media, and compiling the results in a Google Doc.
- 📰 An RSS feed is used to pull the latest articles, which are then converted from HTML to text for further processing.
- 🔗 The text is optimized for virality on LinkedIn using a trained AI model, which generates hashtags and an engaging post format.
- 🖼️ A mid-journey assistant takes the optimized text and creates a corresponding image, leveraging the capabilities of the mid-journey API.
- 🔄 The image is then upscaled to enhance its quality, ensuring it meets the high standards suitable for professional use.
- 📝 The final output, including the optimized post and the AI-generated image, is saved to a Google Doc for easy access and review.
- 🛠️ The tutorial provides a step-by-step guide to set up the automation, including obtaining necessary APIs and using no-code automation platforms.
- 🔑 The video mentions the use of a Discord community for accessing the mid-journey API and other resources needed for the automation.
- 💡 The automation is described as a game-changer for content creation, offering a streamlined way to produce engaging and visually appealing social media posts.
- 👨🏫 The presenter, Jack, emphasizes the practicality of the automation, stating that it works with real-time data and can be adapted to various topics and styles.
Q & A
What is the main topic of the video?
-The video is about automating the creation of incredible images from mid-journey using AI and various APIs to generate viral social media content.
What does the video claim this automation can do for social media platforms?
-The video claims that the automation can create highly viral, customized output for any social media platform, enhancing the content with high-quality images from mid-journey.
Who is the presenter of the video?
-The presenter of the video is Jack, who focuses on showcasing the latest AI automations that work effectively.
What is the role of the 'mid-journey assistant' in the automation process?
-The 'mid-journey assistant' acts like a mini employee, creating images based on the text provided, which is then used to generate prompts for mid-journey image creation.
How does the automation process handle breaking news or new articles?
-The automation uses an RSS feed to pull the latest articles. It then converts the HTML content of the articles into text, which is used to create viral social media posts and mid-journey images.
What is the purpose of the 'user api.ai' in the context of this video?
-The 'user api.ai' is used to connect to the mid-journey API, as mid-journey does not have an active API yet. It helps in the automation process by handling the image creation tasks.
What is the significance of the Discord server in setting up the automation?
-The Discord server is used to invite the mid-journey bot into a private channel, which is essential for the automation to function properly and to interact with the mid-journey API.
What does the video suggest as the most complicated part of setting up the automation?
-The most complicated part of setting up the automation, as suggested in the video, is getting the mid-journey API set up and connected through 'user api.ai'.
How can one access the additional resources and support for setting up the automation?
-Additional resources and support can be accessed through the provided links in the video description, as well as through the school community where Jack provides teachings and blueprints.
What is the final output of the automation process?
-The final output of the automation process is a LinkedIn post and a high-quality mid-journey image that can be viewed and checked in a Google Doc.
What additional features can be added to the automation in the future?
-Additional features that can be added in the future include filters, tables, and approval processes, making the automation more versatile and efficient for various use cases.
Outlines
🚀 Automating Viral Image Creation with Mid Journey AI
The speaker introduces a method to automate the creation of high-quality images using Mid Journey AI, tailored for social media platforms. The process involves converting news articles into text, optimizing them for virality on LinkedIn, and then using the text to generate images with Mid Journey. The automation also includes a feature to send the final output to a Google Doc for review. The speaker emphasizes the ease of use and the high quality of the images, which surpasses other AI tools like DALL-E.
🔧 Setting Up the Automation with Necessary Tools and APIs
The paragraph outlines the tools and APIs required to set up the automation, including a no-code automation platform, an RSS feed for news triggers, access to OpenAI's chat GPT API, Google Docs, and a user API to connect with Mid Journey. The speaker provides a step-by-step guide on how to connect Discord with Mid Journey, retrieve necessary authorization codes, and use them in the automation process. The focus is on making the complex setup as simple as possible for the user.
🌐 Navigating the Automation Interface and Gathering Data
The speaker guides the audience through the process of using the automation interface, from accessing Discord channels to obtaining user IDs and authorization codes. The explanation includes how to interact with the Mid Journey bot, retrieve account information, and capture necessary data for the automation. The paragraph highlights the importance of capturing specific codes and information that will be used to connect the various components of the automation.
🔗 Connecting RSS Feeds and Configuring Automation Triggers
This section details the process of setting up an RSS feed as a trigger for the automation. The speaker demonstrates how to create an account on an RSS service, select a news topic, and configure the feed to retrieve articles. The automation is then set to run at specified intervals, fetching the latest articles and preparing them for further processing in the automation workflow.
📝 Transforming Articles into Social Media Posts and Images
The paragraph explains how to convert the retrieved article's HTML content into plain text and then use it to create an optimized social media post for LinkedIn. It involves using an assistant on the platform.open AI to generate a viral post based on the article's text. The post is then used to create a prompt for Mid Journey to generate an image that complements the post's content.
🖼️ Creating a Mid Journey Prompt for Image Generation
The speaker provides a detailed explanation of creating a Mid Journey prompt, which involves analyzing the text data to identify key elements such as the subject, action, setting, and additional details. These elements are then used to fill in a predefined prompt template that includes aspects like image style, realism, and specific technical requirements. The prompt is designed to guide Mid Journey in creating an image that matches the social media post's theme.
🔍 Refining the Automation with Upscaling and Google Docs Integration
This section covers the final steps of the automation process, which include upscaling the generated Mid Journey images to improve their quality and integrating the final output with Google Docs. The speaker discusses the use of a webhook to receive the image once it's generated by Mid Journey and then inserting the image into a Google Doc for easy access and review.
🌿 Testing the Automation with a Climate Change Topic
The speaker concludes the tutorial by testing the automation with a new topic, 'climate change in South Africa,' to demonstrate its versatility. The automation is run through its paces, from fetching the latest article on the topic to generating a LinkedIn post and a Mid Journey image, and finally, inserting the image into a Google Doc. The successful test shows the automation's capability to handle different subjects and create content dynamically.
🎉 Completion and Community Support for Automation
The final paragraph celebrates the completion of the automation setup and offers additional support through community sessions. The speaker invites users to join live co-building sessions and get help from a Make engineer if they encounter difficulties. The paragraph also encourages users to share their intended use for the automation and thanks them for following along with the tutorial.
Mindmap
Keywords
💡Automate
💡Mid-journey Images
💡Viral Customized Output
💡Google Doc
💡API
💡RSS
💡LinkedIn Agent
💡Upscale Image
💡Discord
💡Custom Mid-Journey Characters
💡Webhook
Highlights
The video demonstrates automating the creation of incredible mid-journey images using AI.
It showcases an example of automation generating highly viral, customized social media outputs.
The process includes sending outputs to Google Docs for quality review.
The video promises game-changing automation for creating high-quality images rivaling those of Mid Journey.
The automation blueprints and additional teachings are available in the school community.
The video provides a step-by-step guide to setting up the automation, including accessing the necessary APIs.
The importance of having a Mid Journey API setup is emphasized for the automation.
The tutorial covers how to use RSS feeds to trigger the automation based on the latest articles.
The process involves converting HTML web page content to text for further use in automation.
The video explains how to create a LinkedIn post optimized with hashtags using an AI assistant.
It details the creation of a Mid Journey prompt to generate images from the LinkedIn post.
The automation includes an upscaler to refine the generated Mid Journey images.
The final step is to insert the upscaled image into a Google Doc for documentation.
The video highlights the potential of the automation for various social media platforms.
It discusses the cost implications of running the automation and the necessity of a Mid Journey subscription.
The video concludes by encouraging viewers to share their intended uses for the automation in the comments.