Summary5 min read

Great New Courses – Online eLearning With The Best Coaches

Host: Eric Mega Download
Guest: George Ten
Episode: Hobby Arbitrage Method – Free Download + The Go/No-Go & Course Idea Miner
Date: March 23, 2026

Episode Overview

In this episode, Eric Mega Download spotlights the rise of AI-generated influencers and walks listeners through the process of creating highly realistic AI images using open-source tools. He covers the practical steps to set up your own virtual content creators, examining ethical implications and financial opportunities. The discussion is aimed at entrepreneurs, creators, and anyone curious about the business of digital influence.

Key Discussion Points & Insights

1. The Emergence of AI Influencers

Eric introduces Aytana, a viral Instagram model from Barcelona, who appears to be a fitness-loving, down-to-earth gamer but is entirely AI-generated.
The financial impact of such digital personas is noted:
- "She does have additional photos on her subscription tier, which brings in about ten grand per month." (00:17)
Broaches the reality—a clever agency is profiting handsomely by selling content generated by artificial personalities.

2. Commentary on the Social and Ethical Angle

Eric discusses the phenomenon’s darker side:
- "Content like this is rotting the brains of billions of men around the world, although they are doing a 50% off sale right now, so it does look like a pretty good value actually." (01:14)
Makes a pointed observation about the target audience of the show, emphasizing exploitation-of-systems over consumption:
- "Luckily 95% of this channel is comprised of high value alpha males, which means we don't need to consume content like that. Instead, we reverse engineer it so we can exploit it for financial gain." (01:29)

3. Tools for Generative AI Image Creation

Closed vs. Open Source:
- Closed source tools like Midjourney and Dall-E are referenced but noted for their cost and safety restrictions.
- Open source alternatives (e.g., Stable Diffusion XL) are preferred for flexibility and transparency.
Specialized Models:
- Explains the evolution of generative adversarial networks (GANs) (00:54), now capable of high-resolution photo-realistic images.
- Introduces the concept of “checkpoints”—fine-tuned models optimized for different content styles.

4. User Interfaces for AI Art

Discusses UIs like Stable Diffusion Web UI (powerful, can be overwhelming), Comfyu (drag-and-drop), and highlights his favorite: Fooocus
- "The thing I like about Fooocus is that in many ways it feels similar to Midjourney, but it's free and the UI is way more intuitive." (04:03)
Technical Note: Fooocus builds upon Gradio, an open-source project that uses Svelte for its frontend.

5. Hands-On: How to Build an AI Influencer

Setup:
- Instructions for installing Fooocus: clone the repo, create a Python virtual environment, install packages, then run the script to download models.
- "Once that's done, you run this python script, which will then automatically download the default models in the background." (03:25)
Creating Images:
- With a decent GPU, generation is fast (~45 seconds for two images).
- Advanced settings allow fine-tuning style, aspect ratio, and quantity. The style tab enables mixing genres from retro to anime.
Prompting for Realism:
- Eric recommends crafting specific prompts and including minor imperfections ("rough skin, no makeup, etc.") for authenticity (05:32).
Image Editing:
- Demonstrates the process of using a base image and applying "face swap" or merging multiple prompts for continuity.
- Correction tools for imperfections: InPaint and OutPaint.

6. Next Steps: Video Generation

Beyond Photos:
- Highlights recent advancements in text-to-video platforms: Pika Labs (closed source) and Stability AI’s Stable Diffusion Video (new and open).
- "I can only imagine what kind of depraved content you guys will use that for." (08:49)
- Signals rapid evolution and monetization opportunities in AI video content.

Notable Quotes and Memorable Moments

On the dissonance of digital content:
- "It's extremely sad and depressing that the agency behind this thing is making a six figure income, especially during the sacred month of no Nut November." (01:04)
On audience mindset:
- "We don't need to consume content like that. Instead we reverse engineer it so we can exploit it for financial gain." (01:32)
On open vs closed AI tools:
- "There are many tools out there that can help you become an AI PI MP... But these are paid closed source products that also contain a bunch of unwanted safety layers. Luckily there's a great open source ecosystem around generative AI." (01:54)
On building your first AI influencer:
- "Congratulations. You just built your own artificial influencer. You did it." (07:06)

Important Timestamps

00:17 – Aytana’s background and business model
00:54 – Generative adversarial networks & model evolution
01:29 – Commentary on exploiting vs. consuming such content
03:25 – Fooocus setup and technical details
04:03 – Why Fooocus is the preferred tool
05:32 – Prompt creation tips for realistic AI images
06:15 – Face-swapping and image blending for continuity
07:06 – Editing imperfections; building a full influencer
08:26 – Transition to text-to-video platforms and future opportunities

Tone and Style

The episode is irreverent, tech-savvy, and tinged with tongue-in-cheek commentary. Eric maintains a playful, somewhat cynical tone, mixing humor with practical instruction and entrepreneurial advice. While critical of some aspects of modern AI media culture, he focuses on how to harness these tools for financial gain, always speaking directly—sometimes bluntly—to his “alpha” audience.

Takeaways

Realistic AI personas can be built quickly with open-source tools and thoughtful prompts.
The business of artificial influencers is lucrative—and accessible to anyone with technical know-how.
Ethical and social questions abound, but for the entrepreneurial, it’s about leveraging the system.
Rapid development in AI video generations will soon offer even broader media exploits.

For listeners: If you’re interested in the practicalities of AI-powered influencer creation—or in riding the next wave of digital entrepreneurship—this episode is packed with actionable details, sardonic humor, and a blueprint for getting started.

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[00:00]
A
Allow me to introduce you to Aytana. She's an Instagram model from Barcelona who's been going viral, but she's also just like totally chill and down to earth. She's into fitness and video games. And yeah, if you're wondering, she does have additional photos on her subscription tier, which brings in about ten grand per month. Before you sign up though, there's one thing I need to disclose and it really shouldn't matter unless you're some kind of bigot technophobic nazi. But she's not a biological female. She is a woman, but entirely artificial. It is November 29, 2023 and you're watching the code report. By the end of this video you'll know how to build your own army of AI influencers entirely for free using open source generative image models like Stable Diffusion XL and checkpoints like Juggernaut that can produce highly realistic images. The first generative adversarial networks appeared about 10 years ago and at first could only produce tiny images that you could barely make out. But now anyone can produce high resolution realistic images good enough to trick sad lonely men into buying the NSFW content. It's extremely sad and depressing that the agency behind this thing is making a six figure income, especially during the sacred month of no Nut November. Content like this is rotting the brains of billions of men around the world, although they are doing a 50% off sale right now, so it does look like a pretty good value actually. Luckily 95% of this channel is comprised of high value alpha males, which means we don't need to consume content like that. Instead we reverse engineer it so we can exploit it for financial gain. There are many tools out there that can help you become an AIPI MP like you might be familiar with Midjourney and Dall E from OpenAI, but these are paid closed source products that also contain a bunch of unwanted safety layers. Luckily there's a great open source ecosystem around generative AI. The most well known base model is Stable Diffusion XL which was released in late July 2023. Gigantic models this take an absurd amount of computing power, but luckily it's possible to fine tune them by creating what's called a checkpoint using some additional specialized training data. Now you don't have to worry about this part because people have already created a bunch of different checkpoints which you can find on websites like Civitai, some of which are highly optimized for photorealism. Now the next part of the puzzle is finding a UI where we can actually work with these models without having to write any code. The most well known option is the Stable Diffusion web ui. It's an incredibly powerful tool, but might be a little overwhelming for a beginner. There's just a lot of different buttons to push. Another cool option is comfyu, which has a drag and drop editor that works kind of like Blender or Unreal Engine. But the one I'm using in this video is Fooocus or Fooocus, and I'll explain why I like it in just a minute. You'll notice all these AI UIs look very similar, and that's because they're based on another open source project called Gradio. And an interesting side note is that Gradio builds the front end with svelte. Pretty cool, but let's get started. Check out the install instructions, but basically all you do is clone the repo, create a virtual environment for Python and install the packages. Once that's done, you run this Python script, which will then automatically download the default models in the background. These files are multiple gigabytes large, so it may take a while. The base model is Juggernaut xl, which is based on Stable Diffusion and works pretty well for realistic images. You now have the power at your fingertips to print out any image you can imagine. The thing I like about Fooocus is that in many ways it feels similar to Midjourney, but it's free and the UI is way more intuitive. I'm running it with a modest Nvidia 3070 and it usually takes about 45 seconds to generate two quality images. What's really cool though, is that if you click on the Advanced tab, you'll get options for performance, aspect ratio and the number of images. But there's also a tab for style, and we can mix and match these different styles to get far different results, like this retro video game style or maybe an anime style. But in order to generate our AI influencer, I'm going to go with the default settings along with focus Photograph Create a prompt that's highly specific and add some imperfections like rough skin, no makeup, et cetera to make it more realistic. And now our influencer is born. Now let's go ahead and save this as our base image. Then create a new prompt and check the box for input image. Drop the base image here to blend multiple images and text together. Now click on the Advanced box below the image to fine tune the way the image is blended. In this case we'll go with face swap and then write a text prompt of doing yoga at the beach, giving us that perfect shot for the gram. But most importantly, we have pretty good continuity between the faces and the hands. Almost look totally realistic. But when you have imperfections, you can go back to the image prompt, but this time go to InPaint or OutPaint and then paint across the parts that are messed up, tell it what you want to fix, then it will regenerate those parts of the image. Congratulations. You just built your own artificial influencer. You did it. But photos are only the beginning. Yesterday, Pika Labs released an insane video demoing their text to video platform. It's closed source, but luckily stability. The AI just introduced stable diffusion video last week and I can only imagine what kind of depraved content you guys will use that for. This has been the code report. Thanks for watching and I will see you in the next one.