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AI image models are getting better at faces.
But skin texture is still where realism either holds… or breaks.
For this test, we compared ChatGPT Image 2, Nano Banana 2 in 2k and 4k, and Nano Banana Pro again in 2k and 4k using the same prompt focused on extreme close-up phone selfie realism:
Freckles
Pores
Fine facial hair
Slight redness
Under-eye shadows
Dry natural lips
Imperfect crop
Phone distortion
Natural daylight
No beauty filter
No polished skincare-ad finish
The goal was not to create a perfect face.
The goal was to see which model could preserve believable human texture without drifting into plastic skin, fake pores, or overly polished beauty retouching.
A few things stood out:
Nano Banana 2 gave us strong natural texture and visible imperfection, especially in the 4K outputs
Nano Banana Pro handled detail and skin variation with more refinement, while still keeping the image believable
ChatGPT Image 2 delivered a softer, more editorial interpretation, but the texture realism depends heavily on prompt pressure and output style
Resolution matters, but model behavior matters more
4K does not automatically mean more realistic skin if the model over-cleans the face
The best outputs were the ones that understood imperfection as part of realism
This is exactly where AI imagery is becoming useful for brand teams, beauty founders, creative directors, and content studios:
Not just making beautiful visuals.
Making believable visuals.
For skincare, beauty, wellness, UGC-style ads, creator campaigns, and product storytelling, skin texture is not a small detail. It is the trust signal.
If the skin looks too perfect, the audience knows.
If the texture feels human, the image lands differently.
We are now testing these models across real commercial use cases, not just aesthetic demos:
UGC-style creative
Beauty and skincare campaign visuals
Founder-led content
Product education assets
Paid social variations
Before-and-after style visual concepts
High-volume creative testing
The bigger question for brands is no longer:
Can AI make a face?
It is:
Can AI make a face that your customer actually believes?
That’s the difference we’re studying here.
If your team is exploring AI-generated visuals for beauty, skincare, wellness, or creator-style campaigns, this is the layer worth paying attention to: texture, trust, and taste.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Clean, sharp, and really well executed 🔥 This feels like it belongs in a top-tier portfolio. Love the attention to detail here, excited to see what you create next
SKIN1004 Product Photography & AI Visual Assets for E-commerce
Created a series of high-converting product visuals for SKIN1004 skincare products. Developed multiple creative concepts tailored for e-commerce listings, social media campaigns, advertising creatives, and marketplace product cards.
The project included clean product photography, ingredient-focused compositions, premium beauty aesthetics, lifestyle scenes, and attention-grabbing visual concepts designed to highlight product benefits and increase customer engagement.
By using AI-powered workflows, the brand received a diverse library of marketing assets without the cost and time required for traditional photoshoots.
Skills & Deliverables
Product Visualization
AI Product Photography
Beauty Product Marketing
E-commerce Design
Advertising Creatives
Product Image Retouching
Creative Direction
Social Media Content
Product Listing Images
Commercial Visual Design
Love the commercial mindset behind this project.
Many people use AI to create images. Fewer people think about how those images fit different stages of the customer journey and marketing funnel.
Did any of the concepts surprise you in terms of performance or audience appeal?
To the AI creatives:
I remember when AI became a sensation a few years ago. Everyone was amazed by the realistic quality and the infinite possibilities for creation. It was new, exciting, fun—but also intimidating.
Fast-forward to today. Even though its popularity has grown and the technology has improved significantly, I've realized that many people who are not experienced with these tools have developed certain expectations about them.
AI = Fast = High Quality = Cheap
No.
Yes, tools like Nano Banana, Kling, and Seedance can produce impressive results, but don't forget that behind those results is a person sitting at a computer, iterating over and over and over again until they find that "perfect" final image.
I've had bad experiences with clients who think that just because I'm using AI, I should charge less.
"You use AI. You can do it in 20 minutes. Why are you charging so much?"
Well, what about the credits? What about post-production in Photoshop and Lightroom when needed? What about the constant back-and-forth to match branding guidelines and client feedback?
Those minutes and hours count too—not just the speed of Higgsfield, Kling, or ComfyUI.
And what about our hardware? Our storage drives? Our electricity costs? Our subscriptions?
Know your value.
Just because you're using AI doesn't mean you're an emotionless robot working nonstop, generating endless iterations for cheap dollars.
Take your time. Trust your process. Don't fall for the "it's instant and effortless" narrative that many content creators promote—or that some clients expect.
Plan your work. Define your goals. Sometimes a single image can take hours to get right.
If a client thinks that because something is generated quickly it should automatically be cheap, the answer is still:
No.
Know your value. Have a detailed understanding of how much you spend on credits, software, hardware, post-production, and revisions.
Clients are paying for results, experience, taste, creative direction, problem-solving, and the countless hours you've invested in mastering these tools—not just for the seconds it takes an AI model to render an image.
Peace.
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