Free tool · Runs in your browser · No sign-up
Gemini Image Fix Prompt Picker
Output came back blurry, plastic-skinned, or subtly wrong? Tick what you’re seeing and copy the combined fix block. Paste it after your prompt — or send it alone as a follow-up (“same image, but:”) to repair a result you otherwise like.
Why vocabulary fixes rendering problems
Nano Banana doesn’t expose sliders for sharpness or skin texture — the prompt is the control surface. Words like “sharp focus”, “visible pores”, or “no plastic texture” shift which visual style the model aims for, the same way lighting words shift mood. The blocks in this tool are the vocabulary that circulates in the community precisely because it keeps working, plus the phrasing we validated in our own image-quality prompt tests.
Two habits multiply the effect. First, fix blocks go after the scene description — describe what you want, then how it should be rendered. Second, blur specifically is often intermittent (documented by users on Google’s AI developer forum), so if one regeneration with the block doesn’t land, run it again before rewriting your whole prompt.
Building the scene from scratch instead? Start with the Nano Banana prompt generator — its Photo Edit mode already includes the preserve-the-subject guard. And if Gemini keeps returning square images when you asked for wide, that’s a different failure: use the aspect ratio canvas generator.
FAQ
Why do some Gemini images come out blurry even with the same prompt?
Blur is often intermittent — the same prompt can produce sharp and soft results across runs, which users have documented on Google’s AI developer forum. Adding explicit sharpness vocabulary (“upscale to 4K, sharp focus, fine texture detail”) biases the model toward crisp output, and regenerating once or twice with the fix block usually lands a sharp version.
What causes the plastic “AI look” on skin?
Image models tend to over-smooth skin unless told otherwise. Explicitly requesting natural texture — visible pores, film-like grain, no overly smooth skin — counteracts the default. It works because the model treats texture words as part of the target style rather than an afterthought.
Do negative instructions (“no plastic texture”) actually work in Gemini?
Gemini follows plain-language exclusions better than most image models because prompts are processed conversationally. Phrasing exclusions as short, concrete nouns (“no extra fingers, no warped background”) works better than long abstract sentences.
Should I put the fix block before or after my main prompt?
After. Describe the scene first, then append the fix block as final rendering instructions. In follow-up messages you can also send a fix block alone — “same image, but:” plus the block — to repair a result you otherwise like.
Is this tool free?
Free, no sign-up, runs entirely in your browser. Pick symptoms, copy the block, paste it into Gemini.