Nano Banana Portrait Style Comparison: Realistic and Artistic Dual Tracks

Using the same human subject as an anchor, this demonstrates the differences in portrait performance of the Gemini nano-banana series under two prompt orientations: one side is the realistic route that emphasizes skin texture, ambient light, and lens language, while the other is the artistic route that emphasizes color blocks, brushstrokes, and light-color control. In terms of composition, a reference portrait asset is first used to fix the facial structure and styling baseline, and then the author's image input capability is used to pass this reference into the generation workflow, with the prompt responsible for style differentiation. The workflow uses both text-to-image and image-to-image entry points, making it easy for developers to observe the impact of prompt wording on results in the comparison. Applicable scenarios: establishing a style baseline for imagery, social content, and character design; serving as a prompt engineering comparison sample to evaluate the stability and consistency of the same subject under different style descriptions. The work is genuinely generated by the author's pipeline, and the input snapshot is the actual submitted parameters.