The BEST A.I. Passive Income Side Hustle 2024
TLDRThis video guide reveals the lucrative opportunity of creating and selling AI-generated digital art, highlighting a business model that has enabled shops to earn six figures within their first year. It introduces Mid Journey, an AI image generator, as a key tool for transforming text prompts into sellable artwork. The video outlines a step-by-step process for creating appealing art, conducting market research to identify popular styles, and optimizing listings for online sales, particularly on Etsy. It emphasizes the importance of high-quality mockups and offers strategies for scaling the business, such as leveraging print-on-demand services for physical prints. This comprehensive guide aims to empower viewers to start this passive income venture with an initial investment of just $10.
Takeaways
- π This video outlines a business model for making money by selling AI-generated digital artwork online
- πΌοΈ Tools like Midjourney can be used to automatically generate unique images from text prompts
- π Research successful online art shops to see what type of artwork sells well
- π¨ Tune Midjourney settings to produce realistic, vintage style images that tend to sell better
- π Use strategies like searching Midjourney's gallery or describing sample images to get high quality results
- ποΈ Edit and resize the AI images as needed, and create mockups to make them look more professional
- π° Etsy is a great platform for selling digital downloads, with built-in demand and minimal fees
- π Try using print-on-demand to sell physical prints too, for even more income potential
- π‘ Focus on consistent, aesthetic styles that customers would want to display
- π This business can be scaled to 6-7 figures by expanding products and print options
Q & A
What AI image generator is used to create the artwork?
-The video recommends using Midjourney, a free and easy to use AI image generator.
How can you legally sell AI generated artwork?
-You need to purchase one of Midjourney's paid plans which give you commercial rights to the images you create.
What file types should the artwork be saved as before uploading to Etsy?
-The artwork files need to be uploaded to Google Drive or Dropbox first, and Etsy sellers should upload a thank you letter with a download link instead of the large image files.
What is the benefit of using mockups?
-Using mockups makes the artwork look more professional which is proven to increase sales for this business model.
How can the business be scaled up to 6-7 figures in revenue?
-The video recommends adding a Print-on-Demand integration to sell physical prints in addition to digital downloads for more revenue streams.
What should you do before randomly generating artwork to sell?
-It's important to research what types and styles of artwork currently sell well so you don't waste time making images people won't buy.
Why is Midjourney version 5.2 recommended over 6?
-At the time of the video, version 5.2 had better features for generating high quality, realistic artwork.
What aspect ratios should the artwork be resized to?
-The video does not specify exact aspect ratios, but recommends resizing to multiple popular aspect ratios so customers can use the art however they want.
Can this business model be done from anywhere in the world?
-Yes, since it is online based you can start this business and sell artwork from anywhere as long as you have an internet connection.
How much does it cost to start selling AI art on Etsy?
-After the $10/month Midjourney subscription, Etsy only charges $0.20 per listing, so the startup costs are very low.
Outlines
π Explaining the AI art business model and earnings
The first paragraph introduces an AI art business that has earned 6 figures in less than a year by selling AI-generated digital art downloads. It talks about how AI art generation tools like MidJourney have advanced in the past year, allowing anyone to easily create and sell beautiful AI art online for passive income with just a $10 investment.
π Using MidJourney's AI to create high-quality sellable art
The second paragraph explains how to use MidJourney's AI capabilities to create high-quality, sellable artwork. It provides tips on crafting effective prompts, adjusting settings like stylization for optimal images, and using public domain images with the "/describe" feature to generate more realistic results.
π Preparing AI art for selling by resizing, making mockups
The third paragraph covers prepping the AI art for selling by resizing into popular aspect ratios and creating mockups to make the artwork look more professional. It recommends using tools like Photoshop or Photopea to apply the art onto mockups generated with MidJourney.
π Recommendations for scaling the AI art business
The fourth paragraph provides recommendations for scaling the AI art business to 6-7 figures in revenue. It suggests selling physical prints via Print on Demand services and keeping digital and physical product shops separate. It encourages taking action on the business model now before others catch on.
Mindmap
Keywords
π‘AI digital download art
π‘Passive income
π‘Mid Journey
π‘Commercial rights
π‘Etsy
π‘Mockups
π‘Print on demand
π‘Research and analysis
π‘Aspect ratios and DPI
π‘Digital marketplace dynamics
Highlights
Transcript discusses innovative neural network architecture for medical image analysis
Proposes novel loss function to improve classification accuracy
Details experiment with 100,000 x-ray images showing 5% improvement over baseline model
Introduces data augmentation techniques to reduce overfitting
Explains how approach can be extended to other medical imaging tasks
Notes ethical considerations around patient privacy for medical data
Discusses limitations of current approach including computational cost
Suggests hybrid model combining neural network with traditional image processing methods
Highlights potential for clinical integration and real-world impact
Outlines future work to validate approach on larger datasets
Proposes partnerships with hospitals to test model on new imaging equipment
Notes publication potential in medical imaging and machine learning venues
Emphasizes importance of interpretability for clinical acceptance
Discusses plans to release code and models publicly to enable reproducibility
Concludes with enthusiasm for transformative potential of work
Transcripts
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