16d • General Discussion 💬
The Real Reason Your AI Portraits Look Fake (No One Talks About This)
Most bad AI portraits don’t come from the model.
They come from vague prompts.
After generating a lot of images using newer tools like Image GPT-2 and Google Nano Banana Pro, one thing became very clear, the difference between an average image and a really good one is usually just how you describe it.
There’s actually some data around this too. In a lot of prompt testing communities, people have seen that just making prompts more specific can improve results by almost 40–50%, without changing any settings.
1. Start with real detail
Instead of writing something like “beautiful woman smiling,” try describing what you actually want to see.
“slight smile, eyes looking at the camera”
That one small change already gives the model direction.
Then layer in realism:
- natural skin texture
- visible pores
- small imperfections
This is what removes that overly smooth, plastic look.
2. Control the lighting (this matters more than you think)
Lighting alone can completely change the result.
Pick one clear style:
- soft diffused lighting → clean, natural
- window light from the side → adds depth
- dramatic side lighting → more cinematic
Mixing multiple lighting styles usually confuses the model, and that’s when things start looking off.
3. Push it toward photography
AI tends to lean a bit “illustration-like” unless you guide it.
Adding small cues helps a lot:
- photorealistic
- shallow depth of field
- film grain
- DSLR / mirrorless camera
People have noticed that adding camera-related terms can make outputs feel way more consistent and real.
4. Use negative prompts
This is something most people skip.
But telling the model what you don’t want helps clean up a lot of issues:
- deformed eyes or pupils
- cartoon / anime / CGI look
- duplicate faces
- weird distortions
Even simple negative prompts can reduce visible errors quite a bit.
5. Be specific with textures
This is where realism actually comes from.
Instead of generic words:
- Skin → pores, fine texture, slight variation
- Fabric → visible weave, textile detail
- Metal → subtle reflections, brushed finish
- Wood → natural grain, imperfections
The more specific you are, the less “flat” the image feels.
Small details that make a big difference
These seem minor, but they change a lot:
- eye direction → looking at camera vs looking away
- age → 25-year-old vs 40-year-old
- framing → close-up portrait vs full body
These little inputs shape the entire output.
Simple workflow
Don’t overthink it.
Generate a few variations → pick the best one → refine it step by step.
Most people keep starting over. But better results usually come from improving one good image, not generating 50 random ones.
If your images feel inconsistent, it’s usually not the model.
It’s just missing structure in the prompt.
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The Real Reason Your AI Portraits Look Fake (No One Talks About This)
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