I launched an AI Influencer Generator inside AiTurnOut
I just launched a new tool on AiTurnOut: AI Influencer Generator.
The idea is simple: instead of hiring a model, setting up a shoot, or spending hours writing image prompts, users can generate realistic virtual influencer images by choosing things like style, outfit, scene, appearance, ethnicity look, and pose.
I built it because a lot of small brands, creators, and marketers want visual content, but proper shoots are expensive and generic stock images do not feel personal anymore.
This is still an early version, so I’m testing what matters most: realism, consistent faces, better scene control, and making the output look less “AI generated.”
Tool link:
https://www.aiturnout.com/tools/ai-influencer-generator
Would love feedback from other indie hackers, especially on positioning, pricing, and what features would make this more useful for creators or ecommerce brands.
Interesting idea. One thing I'd be paying close attention to is the gap between "this looks realistic" and "this looks like someone I'd actually use in my marketing". Looking through the page, it seems like you're already thinking about realism and scene control, which makes sense. I'd also be curious how you're approaching consistency and commercial usability. A lot of AI image tools can generate attractive images, but brands usually need the same face across campaigns, products, seasons, and ad creatives.
From a positioning perspective, I wonder if leaning more into specific outcomes (product photos, social content, ad creatives, influencer-style UGC, etc.) might resonate more than "AI Influencer Generator" alone.
Happy to share more thoughts as you test messaging and conversion. I spend a lot of time looking at how offers and landing pages turn interest into signups, so it's an interesting space to watch.
One thing I'd be careful with:
The interesting question may not be whether the images look realistic enough.
It may be what specific outcome users are actually hiring the influencer for.
Those sound similar, but they can lead to very different positioning decisions.