Upload the image to edit
Choose a product shot, portrait, or campaign image that needs routine cleanup, relighting, or visual improvement.
Nano Banana 2
Use nano banana 2 to handle clean edits with stable lighting, texture, and natural color transitions for daily production tasks.
Teams choose nano banana 2 when they need repeatable output across product photos, portraits, and campaign assets without heavy manual correction. It also helps keep revision rounds short when multiple stakeholders review the same batch.
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How To Use Nano Banana 2
Designed for frequent editing tasks. Upload an image, describe the change, and get a reusable result quickly.
Enter the edit request
Describe the change you need, such as removing distractions, balancing light, or improving overall visual consistency.
Download the final image
Preview the processed output, confirm the result looks stable, and download it for your next production step.
Expanded feature set for scalable image workflows
Built for teams that need predictable quality, faster review cycles, and fewer handoff issues across large batches. with nano banana 2. This makes it easier to move from draft to approval without inconsistent visual drift.
Prompt structures that stay reliable
With this editor, one clear instruction can be reused across similar scenes, helping teams keep direction stable as volume grows. with nano banana 2. Teams can also reuse saved prompt patterns to speed up recurring weekly work.
Style consistency across channels
Creative teams use this workflow to align catalog images, ad creatives, and social content so the brand look remains cohesive. with nano banana 2.
Object edits with visual continuity
When adding or removing elements, the model helps preserve perspective, edge quality, and believable light behavior in each frame. with nano banana 2.
High-resolution output ready to publish
Export sharp files with dependable detail retention, supporting storefront delivery, campaign assets, and long-form content pipelines. with nano banana 2. Output remains suitable for both web delivery and higher-quality presentation formats.
Try the nano banana 2 in a practical editing flow
Upload your images, describe the change, and get a consistent draft you can review quickly with your team. with nano banana 2. You can iterate quickly, compare outputs, and finalize changes with fewer back-and-forth cycles.
Upload Images
Drag and drop images here, or click to upload
Supports JPG, PNG, WebP formats
Maximum 10 images allowed
Describe your change
Quick Keywords:
Anime To Person&Figurine
Predict the Future
3D Rendering Style
Retro Style
Cyberpunk Style
Anime Style
Remove Background
Colorize Old Photo
Result
Your edit result will appear here
Upload images and enter clear instructions so processing can start with nano banana 2.
Choose Your Plan
Flexible pricing options for different needs
Starter
$9.99$7.99/month
Billed annually: $95.90
For individuals who edit and enhance images occasionally
- 400 credits / month
- Auto-renewal
- Standard support
- Fast queue
- Customized requirements
Most Popular
Pro
$19.99$15.99/month
Billed annually: $191.90
For creators who edit images regularly and need more credits
- 1000 credits / month
- Auto-renewal
- Priority support
- Fast queue
- Customized requirements
Ultra
$39.99$31.99/month
Billed annually: $383.90
For high-volume image creation and batch processing
- 3000 credits / month
- Auto-renewal
- Dedicated support
- Fast queue
- Customized requirements
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AI editing showcase
Real use cases showing cleanup, scene transformation, and style transfer in production contexts. with nano banana 2. Each case reflects practical business use rather than lab-only examples.
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AI Enhanced
Background cleanup for product sets
In this example, the model removes distracting backgrounds while keeping subject boundaries natural for listing pages. with nano banana 2.
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AI Enhanced
Future-scene concept visualization
This sample shows how the workflow can reinterpret a location over time while preserving composition and depth cues. with nano banana 2.
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AI Enhanced
3D-style conversion with structure preserved
For stylized output, the model keeps key geometry recognizable so creative variations remain usable in brand workflows. with nano banana 2.
These examples were created in a repeatable production workflow, where the same guidance can be applied across multiple assets. with nano banana 2. This approach is useful for teams that need stable quality across repeated campaigns.
AI photo editing FAQ for teams and creators
Detailed answers for planning reliable, high-volume image editing pipelines with nano banana 2.
What is nano banana 2 best used for?
nano banana 2 is best for repeatable multi-image edits in ecommerce, content operations, and marketing teams that prioritize consistency.
How should I write prompts of nano banana 2?
Start with one objective, then add constraints for color, light, and subject detail; nano banana 2 performs best when instructions stay specific.
Can I use outputs commercially?
Yes. nano banana 2 outputs can be used in client deliverables, product pages, and campaign assets after normal brand QA checks.
How is consistency maintained in a batch?
nano banana 2 applies shared visual intent across uploads to align contrast, tone, edge behavior, and lighting character from image to image. In practice, this reduces noticeable variation when assets are published together.
What file formats are recommended for nano banana 2?
nano banana 2 supports JPG, PNG, WebP, and AVIF; clear source files under 5MB generally produce more stable outcomes.
Can it remove or replace backgrounds?
Yes. nano banana 2 can remove or replace backgrounds for single images or full sets, then you can run a second pass for edge refinement.
How fast is multi-image processing?
Most nano banana 2 jobs complete within minutes, depending on image size, queue load, and prompt complexity.
What is the best workflow for consistent results?
Build a reusable template, keep framing aligned, and split complex changes into stages so nano banana 2 output is easier to review and approve. A simple internal checklist after each run can further improve final consistency.