From massing sketch to presentation-ready image
Start from basic massing, use prompts and iterative workflow to quickly create options ready for review and presentation.
Exterior
AI-powered
Create architectural ideas faster with Google Nano Banana
NamO Academy Studio helps architects, designers, and students create architectural visualization images faster and more reliably with AI Nano Banana — suitable for exploring concepts, trying materials/lighting, and preparing images for review and presentation.
Real workflows in Studio
LiveFrom massing sketch to presentation-ready image
Start from basic massing, use prompts and iterative workflow to quickly create options ready for review and presentation.
See real workflows in Studio
Explore photorealistic concept images (Nano Banana)
Quickly create many photorealistic options with Google Nano Banana, so you can compare and lock direction before investing in detailed production.
Google Nano Banana
Object removal and scene clean-up
Inpaint distracting details (cars, people, signs…) and refine composition directly in the board workflow without starting from scratch.
RefinementInpaint
What you can do in Studio
Organize options in one board
Gather sketches, reference images, AI outputs, and iterations in one space for easier review.
Create many concept variants quickly
Try different materials, lighting, and styles to compare before detailed production.
Iterate and improve with control
Track prompts, models, and output history to compare, refine, and choose the best option.
3-step workflow: from sketch to presentation image
Suitable for both quick concept exploration and refining shortlisted images.
Step 1
Upload sketch or reference image
Start from existing studio assets: sketches, renders, model screenshots, or reference images.
Step 2
Prompt and create variants
Use prompts and attributes (style, lighting, materials, camera) to create controlled variations.
Step 3
Compare, refine, and export
Keep options side by side, refine the best image, and export for review or pitching.
See real workflow demos
Create exteriors, edit, and iterate in board workflows — from input to presentation-ready output.
Create exterior and interior concepts quickly
Compare materials and lighting
Edit outputs directly in the board
Export images for review and pitching
Choose the mode that fits your workflow
Free — Quick exploration
Nano Banana Basic
5 images/day (regular users), 10 images/day (students). Suitable for trying ideas, prompts, composition, and design direction.
Premium — High-quality refinement
Nano Banana Pro
1 NamO Point per image. Suitable for shortlisted options, review images, and presentation images.
Vertex — Advanced
Nano Banana 2
Vertex AI image model with advanced controls (e.g. person generation, camera sync).
You can start with the free tier and switch to Pro when you've locked in your direction.
Simple and transparent pricing
Start with free daily usage and scale to premium with credits when needed.
NamO Point packs
Starter
$1
~ 100 credits
- Perfect to start experiencing the platform
- Up to 10 images at 1K
- Or 4 images at 4K
Basic
$5
~ 500 credits
- Good for light, regular use
- Up to 52 images at 1K
- Or 20 images at 4K
Most Popular
Pro Creator
$10
~ 1,000 credits
- Balance of value and flexibility
- Up to 108 images at 1K, 72 at 2K
- Or 43 images at 4K
Studio
$20
~ 2,000 credits
- Built for serious production
- Up to 220 images at 1K, 146 at 2K
- Or 88 images at 4K
Save More
Growth
$50
~ 5,000 credits
- Ideal for teams and heavy usage
- Up to 575 images at 1K
- Or 230 images at 4K
Best Value
Scale
$100
~ 10,000 credits
- Maximum savings for power users
- Up to 1,200 images at 1K
- Or 480 images at 4K
Built for
Architecture students
Assignments, pin-ups, and quick option comparison
Small architecture studios
Concept exploration and internal review before detailed production
Interior and facade designers
Try materials, lighting, and mood across multiple options
Design education communities
Create repeatable workflow exercises and teaching examples
Why NamO Academy Studio uses Vertex AI
We use Google Vertex AI to support more stable image workflows, easier scaling, and suitability for both quick exploration and high-quality refinement.
More stable results for iterative workflows
Support for multiple model tiers for free and premium
Suitable for async processing (job + polling) when many users run at once
Ready to extend for advanced editing and refinement workflows
For those who want to dig deeper
Explore NamO Academy Studio's serverless infrastructure, AI orchestration, and cloud infrastructure — including job processing, queueing, storage, and NamO Point management.
Development status
Core generation and board workflow are production-ready
Free and premium model tiers are active and monitored
Collections, Projects, and Auth are being migrated to Next.js
Re-render and Studio performance optimization continues
Team & platform
NamO Academy Studio is built by a small team combining architecture education experience, feedback from real studios, and AI product execution.
This approach makes the product both suitable for learning needs and practical enough for everyday design workflows.
Phuc Huy
Founder, NamO Academy
- Leads architecture education activities and learning communities
- Contributes practical briefs, case studies, and feedback from classrooms and studios
- Guides feature direction based on user needs in the architecture field
NamO Academy
Education Partner
- Provides real feedback loops from classrooms, workshops, and studio activities
- Validates workflow usability for students and newcomers
- Partners in shaping features for architecture learning and practice
Phuoc Huynh
Product Engineer / AI Workflow Developer
- Builds and operates the Vertex AI image generation pipeline
- Develops serverless infrastructure for job processing, storage, and NamO Point flow
- Designs board workflow experience for fast idea iteration and easy review
Start from a sketch or reference image
Create your first board, run your first workflow, and see how NamO Academy Studio helps you iterate ideas faster.