Recently, Google released a next-generation image generation and editing model called Nano Banana, which achieved a top-rated score of 1362. This release brings major improvements in character consistency, precise conversational editing, and the power to merge photos into entirely new creations. And I personally tried it out on Google AI Studio. So, let's explore what Nano Banana can do.
Core Features of Image Generation in Gemini
Before creating images, it’s useful to understand the upgraded features in Gemini. These enhancements can help you decide which creative scenarios to explore:
Consistent character design – Maintain a character’s or object’s look across multiple generations and edits.
Creative composition – Combine different elements, subjects, and artistic styles into one cohesive image.
Targeted edits – Adjust specific parts of an image with simple, natural language prompts.
Style and design transfer – Apply textures, styles, or visual themes from one concept to another.
Contextual reasoning – Leverage real-world logic to create complex scenes or anticipate the next step in a sequence.
Isometric modeling – Isolate a single object or building from an image and transform it into a clean isometric model.
6 Key Elements for Crafting Effective Prompts
Gemini can deliver solid results with just a short prompt but adding these elements helps you unlock more precision and creativity:
Subject – Specify the main focus of the image. (Example: a knight made of stained glass; a golden retriever wearing aviator goggles).
Composition – Describe how the scene is framed. (Example: overhead shot, panoramic view, close-up portrait, tilted angle).
Action – Clarify what’s taking place. (Example: drawing a sword, flying a paper airplane, leaping into a river).
Location – Anchor the scene in a setting. (Example: a neon-lit Tokyo alley, an underwater coral palace, a snowy mountain peak at dawn).
Style – Convey the artistic look. (Example: pixel art, oil painting, cyberpunk illustration, vintage Polaroid photo).
Editing instructions – For modifying an existing image, be precise. (Example: replace the sunset with a night sky, add a glowing lantern on the table).
Creative prompting techniques with examples
By applying different prompting strategies, you can generate outputs that range from photorealistic edits to highly imaginative scenes. The following techniques illustrate practical approaches, each demonstrated with an example.
Consistent Character Design
Maintain consistent appearance, proportions, and personality traits across multiple poses or scenes to keep characters recognizable.
Prompt
A medieval warrior clad in weathered steel armor, holding a broad sword, standing on a misty battlefield at dawn, with banners waving in the background. Cinematic lighting, highly detailed, realistic style.
Prompt for Editing
Then, show the same medieval warrior riding on the back of a towering, fire-breathing dragon with scales that shimmer like molten bronze, soaring high above a stormy sky lit by flashes of lightning.
Consistent Character Design.
The character’s appearance remains consistent, whether on the battlefield or riding a dragon.
Creative Composition
Arrange elements with balance, perspective, and visual flow while enhancing storytelling through dynamic character and environment placement.
Prompt 1
Generate a realistic image of an agent in a sleek suit.
Prompt 2
A picture of a subway station with tiled walls, glowing lights, and a train arriving.
Upload the generated images, then
Prompt for Editing
Show the agent standing in the subway.
Creative Composition.
The agent’s background shifted from a building lobby to a subway, and can be anything, as if the agent has journeyed around the world.
Targeted Edits
Precisely modify specific areas without affecting surroundings. Supports selective adjustments in texture, color, structure or additions while preserving overall composition.
Prompt
A delicious plate of pasta, topped with sauce, styled in a realistic food photography look.
Prompt for Editing
Add slices of golden grilled chicken on top of the pasta.
Targeted Edits.
The chicken slices were placed on top of the pasta, but not along the sides of the plate.
Style and Design Transfer
Apply artistic styles or design motifs from one source to another, harmonizing visuals or reimagining concepts with textures, colors, or brush techniques.
Prompt
A beautiful landscape with towering mountains reflecting on a crystal-clear lake, surrounded by lush greenery.
Prompt for Editing
Apply Black & White style to this image.
Style and Design Transfer.
The picture was converted from color to black and white while keeping the original structure intact.
Contextual Reasoning
Generate outputs accounting for surrounding elements, relationships, and situational logic. Ensures realistic interactions, spatial coherence, and storytelling consistency.
Prompt
A focused scientist does a chemistry experiment.
Prompt for Editing
Generate an image showing what would happen when the scientist mixed liquid into a beaker.
Contextual Reasoning.
Contextual reasoning anticipates outcomes within an image, such as predicting a chemical reaction when two liquids are mixed, suggesting effects like a burst or explosion.
Isometric Modeling
Create precise 3D representations from a fixed isometric perspective, maintaining correct scale, alignment, and spatial relationships while emphasizing clarity and depth in the scene.
Prompt
Design a 3D ancient Japanese temple surrounded by cherry blossoms, wooden textures, curved roofs, lanterns, mist, and soft ambient lighting.
Prompt for Editing
Make an isometric model of the temple only.
Isometric Modeling.
The temple was rendered separately and in an isometric view This is useful for architectural visualization and game assert.