You copied a trending prompt, uploaded your best selfie — and got a stranger’s face on a plastic body in front of a melted background. This guide explains how to fix bad AI photos by diagnosing exactly why your prompts aren’t working, with correction lines you can paste straight into Google Gemini or ChatGPT. Keep our AI photo prompt guide open alongside — the fixes here build on its six-element structure.
Why AI Photos Go Wrong: The 5 Root Causes
Nearly every bad result traces back to one of five causes. Find yours in this table, then apply the matching fix below.
| Symptom | Root Cause | Fast Fix |
|---|---|---|
| Face doesn’t look like you | No identity instruction | Add an identity lock line first |
| Plastic, airbrushed skin | Beauty bias in the model | Request natural texture explicitly |
| Ignored details (outfit, background) | Prompt too long or contradictory | Trim to 40-80 words, one instruction per element |
| Warped hands, jewellery, text | Known model weak spots | Simplify poses, regenerate, ask for corrections |
| Flat, boring lighting | No light direction given | Describe one light source with direction |
Fix 1: Lock Your Identity Properly
The single biggest cause of unrecognisable faces is a missing or weak identity line. “Make it look like me” is not enough. Use this exact opener:
Identity lock: “Using my uploaded photo as the exact reference, keep my facial features, face shape, skin tone, hairline and expression 100% identical. Do not beautify, slim or restructure my face in any way.”
If the face still drifts: “The face in your last image does not match my photo. Regenerate the same scene but copy my face exactly from the uploaded reference — same eyes, same nose, same jawline.”
Fix 2: Kill the Plastic Skin Effect
Models are trained to flatter, so they smooth skin into vinyl. Counter it directly:
Texture restore: “Render natural skin with visible pores and fine texture, no beauty filter, no airbrushing, realistic subsurface tones, small natural imperfections kept.”
For harsh results: “Keep skin natural but softly lit — realistic texture without emphasising blemishes, like professional portrait retouching, not a filter.”
Fix 3: Stop the Model Ignoring Your Details
When your saree colour, background or props vanish, the prompt is usually overloaded or self-contradictory. Three rules: keep it 40-80 words, give each element one clear instruction, and put the most important detail early. When something is non-negotiable, flag it:
Priority flag: “Most important: the saree must be exactly deep emerald green Banarasi silk with a gold border. Every other detail is secondary to this.”
Contradiction check: “Before generating, follow only these instructions and ignore any conflicting defaults: [your 3 key details].”
Fix 4: Handle Hands, Jewellery and Text
Fingers, earrings and written text remain the weakest areas of image models. Work around them:
Hand simplifier: “Keep hands relaxed at my sides / in pockets, fingers naturally together, no complex gestures, anatomically correct hands.”
Jewellery control: “Only the jewellery I describe: simple gold jhumkas. No extra rings, necklaces or nose pins. Render earrings symmetrically.”
Text ban: “Do not add any text, watermarks, logos or lettering anywhere in the image.”
Fix 5: Rescue Flat Lighting
If your portrait looks like a passport photo, you never told the model where light comes from. Add one sentence:
Dimension builder: “Light the scene with one large soft key light from the upper left, gentle shadow on the right side of my face, slight rim light from behind separating me from the background.”
Mood option: “Golden hour sunlight from behind at 45 degrees, warm rim on hair and shoulders, soft bounce fill on the face, shallow depth of field.”
The 3-Round Iteration Method
Round 1: Generate With a Full Prompt
Use a complete six-element prompt from our pillar guide or a themed set like the saree collection. Never judge a single output — generate two or three.
Round 2: Correct, Don’t Restart
Stay in the same chat and change one thing: “same image, but softer light” or “same scene, fix the hands”. Context carries over in both Gemini and ChatGPT.
Round 3: Upscale the Winner
When one result is 90% right, ask for a final pass: “regenerate this exact image at maximum detail and sharpness, no composition changes”.
FAQ: Fixing Bad AI Photos
Is my source photo the problem?
Often, yes. Blurry, filtered, dimly lit or extreme-angle selfies give the model nothing to anchor to. Use a sharp, front-facing photo in even daylight.
How many regenerations are normal?
Two to four for a strong result. If ten attempts fail, the prompt structure is broken — rebuild it from the six elements instead of rerolling.
Do these fixes work in every app?
The wording works in any tool that accepts a photo plus a text prompt, including Gemini and ChatGPT. Before uploading to a new app, check our privacy guide to see what happens to your photos.