google/nano-banana-pro/text-to-image-developer

Seedance 1.5 Pro

YERLİ SES-GÖRSEL OLUŞTURMA

Ses ve Görüntü, Tek Çekimde Hepsi

ByteDance'in tek birleşik süreçten eş zamanlı olarak mükemmel senkronize ses ve video üreten devrim niteliğindeki yapay zeka modeli. 8'den fazla dilde milisaniye hassasiyetinde dudak senkronizasyonu ile gerçek yerli ses-görsel üretimi deneyimleyin.

Advanced Image Generation

• Multi-image fusion technology
• Character consistency across generations
• Style-preserving transformations
• High-resolution output up to 4K

Smart Editing Tools

• Text-based intelligent editing
• Object addition and removal
• Background replacement
• Style transfer and artistic effects

Prompt Examples & Templates

Explore curated prompt templates to unlock the full potential of Nano Banana AI. Click to copy any prompt and start creating immediately.

Transform to Figure

Photo to Character Figure

Transform any photo into a realistic character figure with packaging and display

PromptCopy

turn this photo into a character figure. Behind it, place a box with the character's image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible

Anime to Real

Anime to Cosplay

Transform anime illustrations into realistic cosplay photography

PromptCopy

Generate a highly detailed photo of a girl cosplaying this illustration, at Comiket. Exactly replicate the same pose, body posture, hand gestures, facial expression, and camera framing as in the original illustration. Keep the same angle, perspective, and composition, without any deviation

Photo to Action Figure

Person to Action Figure

Transform people from photos into collectible action figures with custom packaging

PromptCopy

Transform the the person in the photo into an action figure, styled after [CHARACTER_NAME] from [SOURCE / CONTEXT]. Next to the figure, display the accessories including [ITEM_1], [ITEM_2], and [ITEM_3]. On the top of the toy box, write "[BOX_LABEL_TOP]", and underneath it, "[BOX_LABEL_BOTTOM]". Place the box in a [BACKGROUND_SETTING] environment. Visualize this in a highly realistic way with attention to fine details.

Photo to Funko Pop

Person to Funko Pop Figure

Transform photos into Funko Pop style collectible figures with custom packaging

PromptCopy

Transform the person in the photo into the style of a Funko Pop figure packaging box, presented in an isometric perspective. Label the packaging with the title 'ZHOGUE'. Inside the box, showcase the figure based on the person in the photo, accompanied by their essential items (such as cosmetics, bags, or others). Next to the box, also display the actual figure itself outside of the packaging, rendered in a realistic and lifelike style.

Design to Reality

Product Design to Photorealistic Render

Transform product design sketches into photorealistic renders

PromptCopy

turn this illustration of a perfume into a realistic version, Frosted glass bottle with a marble cap

Face Reference Control

Transform to Q-Version Character

Create cartoon characters with face shape reference control

PromptCopy

Transform the person from image 1 into a Q-version character design based on the face shape from image 2

Architecture to Model

Building to 3D Architecture Model

Convert architectural photos into detailed physical models

PromptCopy

convert this photo into a architecture model. Behind the model, there should be a cardboard box with an image of the architecture from the photo on it. There should also be a computer, with the content on the computer screen showing the Blender modeling process of the figurine. In front of the cardboard box, place a cardstock and put the architecture model from the photo I provided on it. I hope the PVC material can be clearly presented. It would be even better if the background is indoors.

Examples curated from ZHO-ZHO-ZHO's Collection • 46+ creative use cases available

Technical Highlights

Performance

Lightning-Fast Generation

Optimized for speed with generation times under 2 seconds for most tasks, making it perfect for real-time applications and rapid prototyping workflows.

Quality

Exceptional Output Quality

Leveraging Google's advanced AI architecture to produce highly detailed, photorealistic images with accurate lighting, textures, and compositions.

Innovation

Novel View Synthesis

Revolutionary 2D-to-3D conversion capabilities enabling creation of multiple viewpoints from a single image, opening new possibilities for content creation.

Mükemmel Kullanım Alanları

📸

Product Photography

🎨

Digital Art Creation

✨

Photo Enhancement

📊

Marketing Visuals

👤

Character Design

👔

Virtual Try-On

📱

Social Media

🔄

Photo Restoration

Why Choose Nano Banana?

🚀

No Setup Required

Start creating immediately without complex configurations or installations

🎯

Precision Control

Fine-tune every aspect of your creation with intuitive text commands

🔄

Consistent Results

Maintain character and style consistency across multiple generations

Teknik Özellikler

Model Architecture:Google AI Studio Powered

Processing Speed:< 2 seconds average generation time

Resolution Support:Up to 4096x4096 pixels

Format Support:PNG, JPEG, WebP output formats

Multi-modal Input:Text, Image, and Combined prompts

API Integration:RESTful API with comprehensive documentation

Yerli Ses-Görsel Üretimi Deneyimleyin

Seedance 1.5 Pro'nun çığır açan teknolojisi ile video içerik oluşturmayı devrimleştiren dünya çapındaki film yapımcılarına, reklamverenlere ve içerik üreticilerine katılın.

✨Free Credits to Start

⚡Instant Access

🌐Works Everywhere

Nano Banana Pro : A state-of-the-art, multimodal reasoning and image generation model by Google DeepMind

Model Card Overview

Introduction

Nano Banana Pro, officially designated as Gemini 3 Pro Image, represents the next generation in Google's series of highly-capable, natively multimodal models. It is designed for professional asset production, integrating the advanced reasoning capabilities of the Gemini 3 Pro foundation model with a sophisticated image generation engine. The primary goal of Nano Banana Pro is to provide users with studio-quality precision and control, enabling the creation of complex, high-fidelity visuals from textual and image-based prompts. Its core contribution lies in its ability to understand and execute intricate instructions, maintain character and scene consistency, and render legible text directly within generated images, setting a new standard for professional creative workflows.

Key Features & Innovations

Nano Banana Pro introduces several technical breakthroughs that distinguish it from prior models:

• Superior Text Rendering: The model excels at generating images that contain clear, accurate, and stylistically coherent text, making it ideal for creating posters, diagrams, and marketing materials.
• Advanced Creative Controls: Users can exercise fine-grained control over image outputs, including camera angles, lighting transformations (e.g., day to night), color grading, depth of field, and localized editing.
• High-Fidelity Consistency: It can maintain the consistency of up to 14 input images and blend up to 5 distinct characters seamlessly into complex compositions, ensuring visual coherence across a series of generated images.
• Deep Real-World Knowledge: Built on Gemini 3 Pro, the model leverages a vast understanding of the world to generate contextually rich and factually grounded visuals, from detailed infographics to historically accurate scenes.
• Multilingual Capabilities: The model can accurately render and translate text across multiple languages within an image, facilitating the localization of visual content.
• Complex Composition from Multiple Inputs: Nano Banana Pro can synthesize elements from multiple source images and text prompts to create a single, cohesive scene, enabling complex creative concepts.

Model Architecture & Technical Details

Nano Banana Pro's architecture is fundamentally based on the Gemini 3 Pro model. While specific architectural details are not fully disclosed, the following technical information is available:

• Foundation Model: Gemini 3 Pro
• Inputs: The model accepts text strings and images as input, with a large context window of up to 1 million tokens.
• Outputs: It generates high-resolution images (up to 4K) with a 64K token output capacity for handling complex generation tasks.
• Training Infrastructure:
  • Hardware: The model was trained on Google's custom-designed Tensor Processing Units (TPUs), which are optimized for large-scale machine learning computations and high-bandwidth memory access.
  • Software: The training process utilized JAX and ML Pathways, Google's high-performance frameworks for machine learning research.
• Knowledge Cutoff: The model's internal knowledge base has a cutoff date of January 2025.

Intended Use & Applications

Nano Banana Pro is intended for professional and creative applications that require a high degree of precision, control, and visual fidelity. It is well-suited for a variety of downstream tasks and application scenarios:

• Professional Content Creation: Generating production-ready assets for marketing campaigns, advertising, and branding.
• Design and Prototyping: Creating detailed product mockups, storyboards for film and animation, and architectural visualizations.
• Informational Graphics: Designing complex and accurate infographics, educational diagrams, and data visualizations.
• Artistic and Creative Expression: Enabling artists and designers to explore novel visual styles and create complex, multi-element compositions.

Performance

Nano Banana Pro's performance has been evaluated through extensive human evaluations and benchmarked against other leading image generation models. The results, measured in Elo scores, demonstrate its strong capabilities across a wide range of tasks.

A technical report also notes a performance dichotomy: while the model produces subjectively superior visual quality by hallucinating plausible details, it can lag behind specialist models in traditional quantitative metrics due to the stochastic nature of generative models.

Existing Capabilities (Elo Score Comparison)

New Capabilities (Elo Score Comparison)