Diwali photo editing tips: 10 Google Gemini Nano Banana AI prompts to edit your selfies and firework photos

Use prompt-based glow control
Tell it: “Enhance the glow from the diyas and fairy lights, and make the flame color warmer.” This lifts ambience without washing the rest of the frame.

Increase rangoli colors selectively
Use: “Increase the color vibrancy of the rangoli patterns while keeping the floor color natural.” This prevents surrounding surfaces from being recolored.

Create depth in indoor portraits
Prompt: “Apply a subtle bokeh effect to the background to make the family portrait stand out.” The AI isolates faces and softens only the background.

Repair noisy low-light frames
Say: “Reduce the noise in this low-light photo and sharpen the details of the faces.” This improves clarity without plastic skin artifacts.

Fix harsh festival contrast automatically
Command: “Auto-adjust the exposure and contrast to balance the bright lights and dark shadows.” This rescues both blown highlights and crushed blacks.

Refine festive clothing tones
Prompt: “Make the gold and red tones in the traditional outfits richer and more saturated.” Skin tones remain stable while outfits gain presence.

Enhance fireworks with restraint
Use: “Analyze the fireworks in this photo and add subtle light trails to the brightest points.” This enhances motion cues instead of fabricating fake bursts.

Remove firecracker haze
Say: “Remove the smoke haze from this firecracker photo and increase the overall clarity.” This clears mid-frame fog without making it look over-processed.

Generate a reusable warm festive look
Prompt: “Generate a ‘Festive Warmth’ filter and apply it at 50% intensity.” Use the same filter later to maintain a consistent visual theme across an album.

Brighten people without blowing out lights
Command: “Brighten the subjects’ faces without overexposing the diyas they are holding.” This keeps light sources intact while improving visibility of expressions.

Gemini Nano Banana AI turns Diwali and fireworks photo editing into simple language-based instructions, fixing glow, noise, haze, contrast and color consistently without manual sliders or advanced editing skills.