google/nano-banana-2

What Nano Banana 2 Does

Nano Banana 2 is a fast text-to-image model for high-volume visual generation, creative prompting, and rapid stylistic experimentation. It is designed for quick iteration on stylized, conceptual, and batch image outputs.

Key Features

• Generates images from a required text prompt.
• Optimized for fast creative and high-volume workflows.
• Supports 14 aspect ratios, including square, portrait, landscape, ultra-wide, and extreme formats.
• Supports output sizes from 512 to 4K.
• Uses Modellix’s asynchronous task workflow for production API integration.

How to Use Nano Banana 2

1. Write a clear prompt describing the image subject, composition, style, lighting, and mood.
2. Submit a POST request to /google/nano-banana-2.
3. Optionally set aspectRatio, such as 1:1, 9:16, 16:9, or 21:9.
4. Optionally set imageSize, such as 512, 1K, 2K, or 4K.
5. Poll the returned task URL until the generated image is ready.

Best Use Cases

• Rapid creative exploration and concept ideation.
• Batch generation of stylized images.
• Social media visuals, thumbnails, posters, and lightweight marketing assets.
• Fast art direction testing before moving to higher-fidelity models.
• Creative variations where speed matters more than strict photorealism.

Tips for Better Results

• Use structured prompts with subject, action, setting, composition, and style.
• Choose the aspect ratio before generating so the composition matches the final channel.
• Start with lower output sizes for prompt iteration, then move to 2K or 4K.
• Use Imagen 4 series instead when strict high-end photorealism is required.
• Keep prompts specific and visual; avoid vague instructions such as “make it beautiful.”

Parameters

Pricing

Unit: $/img

Related Models

• google/nano-banana: [Core Function] Nano Banana is the original fast creative image model. [Strengths] Very fast creative generation. [Best For] Quick sketches and ideas. [Limitations] Superseded by Nano Banana 2 for general speed tasks. [Routing] Default to Nano Banana 2 unless specifically requested.
• google/nano-banana-pro: [Core Function] Nano Banana Pro (Gemini 3 Pro Image) is a high-capability creative image model. [Strengths] It balances the creative flexibility and speed of the Nano series with higher fidelity output. [Best For] Highly recommended for: high-quality stylized art and complex creative compositions. [Limitations] Do NOT use for absolute photorealism (use Imagen 4). [Routing] Use this model for high-quality, creative, non-photorealistic requests.
• google/nano-banana-2-edit: [Core Function] Nano Banana 2 Edit is a high-speed image editing model. [Strengths] It rapidly modifies existing images or extracts image frames from videos based on text prompts. [Best For] Highly recommended for: rapid style transfer, quick image modifications, and fast creative edits. [Limitations] Do NOT use this model for meticulous photorealistic retouching. [Routing] Use this model by default for fast, creative image editing tasks.
• google/nano-banana-edit: [Core Function] Nano Banana Edit is the original fast image editing model. [Strengths] Fast basic edits. [Limitations] Superseded by Nano Banana 2 Edit. [Routing] Default to Nano Banana 2 Edit unless specifically requested.
• google/nano-banana-pro-edit: [Core Function] Nano Banana Pro Edit is a high-capability creative image editing model. [Strengths] It provides high-quality creative edits, background replacements, and style transformations. [Best For] Highly recommended for: detailed creative modifications and complex style transfers. [Limitations] Do NOT use for strict photorealistic restoration. [Routing] Use this model for detailed, high-quality creative edits.
• google/nano-banana-2-lite: [Core Function] Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is the lightweight, cost-efficient text-to-image model of the Nano Banana 2 family. [Strengths] It generates images even faster and more cheaply than Nano Banana 2, well suited to high-volume creative and stylized output at lower cost. [Best For] Highly recommended for: high-volume batch generation, quick drafts and thumbnails, and cost-sensitive creative iteration. [Limitations] Do NOT use this model when you need maximum detail, high-end photorealism, or the richest quality; use Nano Banana 2, Nano Banana Pro, or the Imagen 4 series instead. [Routing] Choose the Lite variant when cost and throughput matter more than peak quality; step up to Nano Banana 2 for richer results.
• google/nano-banana-2-lite-edit: [Core Function] Nano Banana 2 Lite Edit (Gemini 3.1 Flash Lite Image) is the lightweight, cost-efficient image editing model of the Nano Banana 2 family; it transforms one or more input images per a text instruction. [Strengths] It performs fast, low-cost instruction-based editing across up to 14 input images. [Best For] Highly recommended for: high-volume edits, quick style transforms, and batch background or attribute changes where cost and throughput matter. [Limitations] Do NOT use this model when you need the highest edit fidelity or richest detail; use Nano Banana 2 Edit or Nano Banana Pro Edit instead. [Routing] Choose the Lite variant for cost- and throughput-sensitive edits; step up to Nano Banana 2 Edit for higher quality.
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• microsoft/mai-image-2.5: [Core Function] MAI Image 2.5 is Microsoft’s flagship text-to-image generation model. [Strengths] It excels at producing high-quality, detailed images from a text prompt with precise control over output dimensions. [Best For] Highly recommended for: concept art, marketing visuals, and high-fidelity image generation. [Limitations] Do NOT request dimensions below 768 on any side or a width x height product above 1,048,576 pixels (e.g. beyond 1024x1024); output is always PNG. [Routing] Use this model by default for quality-sensitive generation. For faster, cheaper generation, route to MAI Image 2.5 Flash.
• minimax/minimax-image-01-t2i: [Core Function] MiniMax Image-01 T2I is a multimodal text-to-image generation model. [Strengths] It excels at blending high-quality image generation with visual reasoning, allowing for strong prompt adherence and structural understanding. [Best For] Highly recommended for: general image generation, conceptual illustrations, and generating multiple images in a single batch. [Limitations] Do NOT use this model if the user specifically requests video generation. [Routing] Use this as the default text-to-image model for MiniMax API integrations.
• vidu/viduq3-pro-t2v: [Core Function] Vidu Q3 Pro T2V is a premium cinematic text-to-video generation model. [Strengths] It excels at generating top-tier, realistic videos from text with support for advanced multi-shot ‘smart cuts’, complex physics, and simultaneous audio-visual generation. [Best For] Highly recommended for: cinematic storytelling, professional advertising, short films, and high-fidelity concept visualizations. [Limitations] Do NOT use this model if the user is looking for an instant, low-latency preview, as generation takes longer. It does not support automatic BGM addition. [Routing] Use this model by default for high-quality text-to-video requests. If the user specifically asks for ‘fast’ or ‘quick’ generation, switch to the Q3 Turbo T2V model.
• vidu/viduq3-turbo-t2v: [Core Function] Vidu Q3 Turbo T2V is a fast text-to-video generation model. [Strengths] It excels at rapidly generating smooth, dynamic videos from text descriptions with very low latency. [Best For] Highly recommended for: fast prototyping, quick visual brainstorming, generating background b-roll, and scenarios where generation speed is prioritized. [Limitations] Do NOT use this model if you need ultimate cinematic quality, complex audio-visual synchronization, or multi-shot ‘smart cuts’. It does not support automatic BGM addition. [Routing] Choose this ‘Turbo’ model when the user emphasizes ‘quick’, ‘fast’, or needs immediate results. If the user demands the highest cinematic quality or advanced audio-visual features, choose the Q3 Pro T2V model instead.
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• pixverse/video-restyle: [Core Function] PixVerse Restyle re-renders an existing video into a new visual style. [Strengths] Consistent style transfer across all frames. [Best For] Turning footage into anime/3D/painterly looks, stylized remixes. [Limitations] Do NOT use this to change content, motion, or add new scenes; it only re-renders the visual style of an existing video. It requires an input video, and you must provide EITHER restyle_id (a preset style code from the PixVerse restyle list) OR restyle_prompt (free-text style, max 2048 chars), not both. [Routing] Use when the user wants to change the look of an existing video. Use restyle_id for an official preset, restyle_prompt for a custom style.
• google/gemini-omni-flash-t2v: [Core Function] Gemini Omni Flash T2V is Google’s fast multimodal Text-to-Video generation model built on the Interactions API. [Strengths] It quickly turns a text prompt into a short 720p video with natively synchronized audio, offering low latency and solid prompt adherence. [Best For] Highly recommended for: rapid text-to-video prototyping, short social and marketing clips, quick concept visualization, and cases where speed and built-in audio matter more than 4K cinematic detail. [Limitations] Do NOT use this model if you need 1080p or 4K resolution or clips longer than 10 seconds; output is fixed at 720p, capped at 10 seconds, with aspect ratio limited to 16:9 or 9:16. [Routing] Choose this model when the user emphasizes ‘fast’, ‘quick’, or short multimodal clips with sound. If the user demands maximum cinematic quality, 4K, or longer videos, choose Veo 3.1 T2V instead.
• google/gemini-omni-flash-i2v: [Core Function] Gemini Omni Flash I2V is a fast Image-to-Video model that animates a single input image into a short 720p video via the Interactions API. [Strengths] It uses the provided image as the opening frame and generates smooth motion with natively synchronized audio at low latency. [Best For] Highly recommended for: bringing a still photo to life, quick product or portrait animation, and short social clips derived from a single image. [Limitations] Do NOT use this model if you need 1080p or 4K output, clips longer than 10 seconds, or the fusion of multiple reference images; it takes exactly one image and outputs 720p up to 10 seconds (16:9 or 9:16). Do NOT use it to edit an existing video. [Routing] Choose this when the user provides one image to animate. To fuse multiple reference images use Gemini Omni Flash R2V; to edit an existing video use Gemini Omni Flash Video Edit; for 4K cinematic results use Veo 3.1 I2V.
• google/gemini-omni-flash-r2v: [Core Function] Gemini Omni Flash R2V (Reference-to-Video) generates a short 720p video guided by up to three reference images via the Interactions API. [Strengths] It fuses the styles, subjects, or elements from multiple reference images (referred to in the text prompt) into a single coherent animated clip with synchronized audio. [Best For] Highly recommended for: blending characters or visual styles from several images, reference-guided creative shots, and multi-subject compositions where the prompt directs how the references combine. [Limitations] Do NOT use this model if you only have a single starting frame (use I2V instead), or if you need 1080p or 4K or clips longer than 10 seconds; it accepts 1 to 3 reference images and outputs 720p up to 10 seconds (16:9 or 9:16). [Routing] Choose this when the user supplies multiple reference images to combine into one video. For single first-frame animation use Gemini Omni Flash I2V; to modify an existing video use Gemini Omni Flash Video Edit.
• google/gemini-omni-flash-video-edit: [Core Function] Gemini Omni Flash Video Edit performs conversational, instruction-driven editing of an existing video via the Interactions API. [Strengths] It applies natural-language edits (changing the scene, mood, style, lighting, background, or time of day) to an input video while preserving the source video’s length and aspect ratio, with synchronized audio. [Best For] Highly recommended for: re-styling or re-lighting an existing clip, changing a video’s setting or atmosphere, and quick instruction-based revisions of a short video. [Limitations] Do NOT use this model to generate a video from scratch (use T2V, I2V, or R2V), and do NOT expect to change the output resolution, aspect ratio, or duration: the output preserves the source video’s aspect ratio and length, and the model does not accept aspectRatio or duration parameters. The source video should be 3 to 10 seconds. [Routing] Choose this only when the user provides an existing video to modify. To create a new video from text or images, use Gemini Omni Flash T2V, I2V, or R2V instead.
• openai/gpt-image-1.5: [Core Function] GPT Image 1.5 is a versatile text-to-image generation model. [Strengths] It balances solid visual performance with crucial utility features, notably its native support for generating images with transparent backgrounds. [Best For] Highly recommended for: creating UI icons, standalone logos, game assets, and any graphic design elements that require a transparent background. [Limitations] Do NOT use this model if you need 2K or 4K resolution. Its maximum supported resolution is 1536x1024. [Routing] Choose this model specifically when the user asks for ‘transparent background’, ‘no background’, or ‘PNG icon’. For standard, high-fidelity, or 4K image generation, use GPT Image 2 instead.
• openai/gpt-image-1.5-edit: [Core Function] GPT Image 1.5 Edit is a versatile image-to-image editing and merging model. [Strengths] It excels at complex utility editing tasks, including multi-image merging (up to 16 images), transparent background support, and precise control over how strictly the model adheres to the input image (fidelity control). [Best For] Highly recommended for: merging reference images, editing UI assets, generating variations with strict shape preservation, and creating transparent cutouts. [Limitations] Do NOT use this model if you require 2K or 4K high-resolution outputs, as it is limited to standard resolutions. [Routing] Use this model specifically when the user provides multiple images to combine, requires transparency, or explicitly asks to ‘keep the exact shape’ of the original image (fidelity control). Otherwise, use GPT Image 2 Edit.
• kling/kling-avatar: [Core Function] Kling Avatar is a specialized portrait animation model. [Strengths] It precisely animates a portrait image to lip-sync with an audio file or TTS audio ID. [Best For] Highly recommended for: virtual presenters, talking head videos, and digital avatars. [Limitations] Do NOT use this model for full-body action or general image animation. [Routing] Use this model explicitly when the user wants to make a portrait ‘speak’ with provided audio.
• skywork/single-actor-avatar: [Core Function] SkyReels Single-Actor Avatar (audio-to-video) drives a talking-avatar video from a single portrait image and one audio track. [Strengths] Lip-synced single-speaker talking-head video generated from an image plus audio. [Best For] Virtual presenters, single-speaker dubbing, and talking avatars. [Limitations] Do NOT use this for multi-speaker scenes (use the multi-actor flow) or when you only have text. It requires first_frame_image and exactly one audio segment (<=200s). mode=std outputs 720p, mode=pro outputs 1080p. [Routing] Provide a portrait first_frame_image and one audio URL in audios; choose mode=pro for 1080p output.
• vidu/viduq2-pro-digital-human: [Core Function] Vidu Q2 Pro Digital Human is a premium portrait animation model. [Strengths] It excels at generating highly realistic, expressive digital humans from a single portrait image, featuring precise lip-sync to audio and natural facial micro-expressions. [Best For] Highly recommended for: professional virtual spokespersons, high-end educational videos, news anchoring, and realistic character animation. [Limitations] Do NOT use this model for complex full-body physical interactions or videos longer than 10 seconds. [Routing] Use this by default for ‘talking head’ or ‘digital human’ requests prioritizing realism over speed.