Nano Banana Pro vs GPT Image 1

Head-to-head across 1 challenge

Nano Banana Pro

100.0%

win rate

Ties

0.0%

GPT Image 1

0.0%

win rate

100.0% 0.0% ties 0.0%

Challenge Results

Outfit Transfer Challenge

Editing
Edit instruction

“Use Image 1 as the base person. Dress them in the exact elaborate outfit from Image 2 (including all layers, accessories, jewelry, and shoes). Carefully adapt the clothing to the body shape and pose in Image 1 while maintaining realistic fabric behavior, correct proportions, and perfect lighting/shadow matching. Keep the person’s exact face, hair, and background completely unchanged.”

Source
Nano Banana Pro
GPT Image 1
100% wins 0% ties 0% wins

AI Judge Analysis

Nano Banana Pro

  • + Excellent source preservation, maintaining the exact face, skin patterns, and sand on the face from Image 1.
  • + Accurately replicates the complex plaid pattern and texture of the scarf from Image 2.
  • + Maintains the original background elements and lighting consistently.
  • The gold watch on the left wrist is slightly distorted.

GPT Image 1

  • + Successfully identifies the clothing elements including the pea coat, scarf, and watch.
  • + Good lighting integration on the fabric.
  • Failed to preserve the subject's identity, significantly changing the facial structure and skin patterns.
  • Modified the background significantly, removing details like the debris on the sand.
  • The scarf pattern is simplified compared to the source image.

Verdict: Nano Banana Pro followed the instructions perfectly, preserving the unique physical characteristics of the man in Image 1 while accurately transferring the complex clothing from Image 2. GPT Image 1 failed as an editing model, largely regenerating a new person and scene that only vaguely resembles the source image.

Nano Banana Pro

Gemini 3 Pro with image generation capabilities. Combines advanced reasoning with the ability to generate and edit images.

GPT Image 1

OpenAI's previous image generation model that accepts both text and image inputs and produces image outputs