AI influencers are getting filthy rich... let's build one
Fireship
4 min, 25 sec
The video provides a detailed guide on how to create a realistic AI influencer using open-source generative image models and discusses the ethical and societal implications.
Summary
- Introduces an AI Instagram model named Itana, hinting at the capabilities of current AI technologies in creating realistic images.
- Explains the evolution of Generative Adversarial Networks over the past decade, leading to high-resolution, realistic images.
- Describes the financial success of AI influencers and the impact on society, particularly during No Nut November.
- Provides a step-by-step tutorial on creating an AI influencer using open-source tools like Stable Diffusion XL and checkpoints like Juggernaut.
- Discusses various UI options for working with generative models and demonstrates the creation of an influencer image using the FOCUS UI.
Chapter 1
Introducing Itana, an AI Instagram model, and discussing her popularity and earnings.
- Itana is an Instagram model from Barcelona, known for her down-to-earth demeanor and interests in fitness and video games.
- She earns about $10,000 per month from a subscription tier with additional photos.
- Reveals that Itana is not a biological female but an artificial creation.
Chapter 2
Explaining the advancement of generative image models over the last decade.
- Generative Adversarial Networks have significantly evolved to produce high-resolution, realistic images.
- These developments allow for the creation of images that can deceive viewers, touching on the ethical implications.
Chapter 3
Discussing the financial success of AI influencers and their impact on society.
- The agency behind Itana makes a six-figure income, highlighting the potential for profit in the AI influencer space.
- Addresses the negative societal impact, particularly on men, and ironically notes a discount sale.
Chapter 4
Guiding viewers on how to create their own AI influencer using open-source tools.
- Introduces Stable Diffusion XL and checkpoints like Juggernaut for realistic image generation.
- Describes the open-source ecosystem for generative AI and where to find optimized checkpoints.
Chapter 5
Exploring different user interface options for working with generative models without coding.
- Describes various UI options like Stable Diffusion Web UI, Comfy UI, and FOCUS for interacting with generative models.
- Emphasizes FOCUS for its intuitive user interface and similarity to paid products like Mid-Journey.
Chapter 6
Providing instructions on installing and using the FOCUS UI to generate AI images.
- Details the installation process for FOCUS, including setting up a Python virtual environment.
- Demonstrates generating a base image and creating variations using the face swap feature for realistic results.
Chapter 7
Instructing how to refine and expand upon the AI influencer's image portfolio.
- Guides on adding imperfections to increase realism and generating context-specific images.
- Shows how to use the in-painting feature to correct imperfections in the generated images.
Chapter 8
Discussing the future of AI-generated video content and the tools available.
- Mentions the release of text-to-video platforms and introduces Stable Diffusion Video as an open-source alternative.
- Contemplates the potential uses of such technology, including the creation of video content for AI influencers.
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