AI Influencer

Use Case: AI INFLUENCER. Custom weights of subject, facial pose, environments, facial expressions, hairstyles, hair lengths, makeup, wardrobe can be customised. Below are some samples of our realistic & consistent Gen AI, done with Stable Diffusion Automatic1111.

AI Influencers in Social Media

AI influencers, commonly known as virtual influencers, are digitally crafted characters with unique personalities, interests, and an active presence on social media. Crafted through advanced technology using Generative AI, these entities engage with users online, mirroring human influencers. What sets AI influencers apart is their immunity to real-life constraints—no aging, fatigue, or personal issues affecting their online persona. This exceptional quality ensures a perpetually available and unwavering brand image, granting them an edge in maintaining consistency and reliability.

A Unique Niche

Presently occupying a niche space among influencers, AI influencers attract numerous brands for distinct reasons:

  1. Brands can experiment with innovative approaches to connect with their audience.
  2. AI influencers afford brands complete control over messaging and branding.
  3. In contrast to human counterparts, AI influencers carry a lower risk of entanglement in scandals or controversies. This reliability makes them a strategic choice for brand partnerships.

Influencer Marketing

While conclusive data on the comparative effectiveness of AI influencers versus traditional influencers is lacking, it’s evident that the synergy with the product remains the pivotal factor for a influencer marketing campaign.

Audiences, while appreciating the novelty of AI influencers, might perceive human influencers as more relatable for specific products. Nevertheless, AI influencers excel in portraying an innovative brand image, making them a valuable choice for brands aiming to position themselves at the forefront of contemporary trends.

Generative AI Tools

Stable Diffusion is a latent diffusion model, a kind of deep generative artificial neural network.

The development of Stable Diffusion was funded and shaped by the start-up company Stability AI. The technical license for the model was released by the CompVis group at Ludwig Maximilian University of Munich. Development was led by Patrick Esser of Runway and Robin Rombach of CompVis, who were among the researchers who had earlier invented the latent diffusion model architecture used by Stable Diffusion.

More detailed workflow explanation here.