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FULLY Automated MidJourney & LumaLabs Faceless Videos
In this full video tutorial I show you how to completely automate FACELESS videos using MidJourney and the LumaLabs Dream Machine with Make, Airtable, GOAPI and JSON2Video. I build everything from scratch!! Here's a link to the JSONs used in the videos → https://bit.ly/4btJLDa Get the Airtable & Make.com templates → https://www.skool.com/no-code-architects
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New comment 1d ago
FULLY Automated MidJourney & LumaLabs Faceless Videos
🤦‍♂️ Build 100% Automated FACELESS Videos
In this video I show you how to completely automate FACELESS videos using Make, Leonardo AI, Airtable, ChatGPT, ElevenLabs, and JSON2Video. I build everything from scratch!! It's a FULL tutorial! Here's a link to some of the prompts and JSONs used in the videos → https://bit.ly/4bb3XcB
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New comment 2d ago
🤦‍♂️ Build 100% Automated FACELESS Videos
Image to Video Tool
What are some good AI tools that can transform images into Animated Videos? I want to take an image and convert that into a moving image and possibly make it more interactive. I'm sure there are some solid tools. Would love to automate this process too :D
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New comment 2d ago
The Multi-AI Approach: Why Settling for One Assistant Limits Your Potential
Since the inception of ChatGPT, I've been using the tool to research, generate content, strategize, and develop products for my company and our clients. Knowing it had a limited range of trained data, I felt that what I used didn't matter because it wasn't changing that often. We were good as long as it was within a year or so. However, as of late, my team and I have been working on other AI tools like Llama, Copilot, Gemini, Claude, and many others. Each one has its differences that impact certain aspects of tooling. For example, Copilot and ChatGPT do great at code-based language. Feed them a user story or requirements similar to one you would put into a Jira or Trello for a developer, and it will crank out usable code. About 80% usable. You'll still need to integrate and deploy it, but if you have any experience in the world of programming, you can get away with a lot. Gemini and ChatGPT do very well at research topics, but Gemini takes the cake when it can cite the sources for its results. It's been accurate at providing that detail, whereas ChatGPT tends to hallucinate a lot if it can't pinpoint the source. Then, there's Llama, which we used for a project that allowed us to create application tools as the source for a chatbot and other apps that relied on real-time responses that seemed conversational. Llama, however, can be replaced by Gemini to provide the same solution. Lastly, Claude is another beast in itself. The thing that makes Claude great is that it is very tuned to marketing and content creation. We've gotten almost human-like text and conversations with every marketing copy or social media script, title, description, and the like. This is why many marketers use Claude to write out their ads, social media copy, scripts for social videos, and more. I find myself increasingly using Claude due to the conversational side of its responses. But, for me, it isn't an all-or-nothing deal. I use ChatGPT to create code, Gemini for intense research, and Copilot within my Integrated Development Environment to help me with code completion when I'm programming.
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