Project Management
Projects group boards, workflows, and history. Use them to separate studios, semesters, or clients. Each project keeps cover images, metadata, and storage usage visible in the projects dashboard.
Documentation
Documentation
Learn how to use NamO Academy Studio effectively.
Overview
Overview
NamO Academy Studio is an AI-assisted board and workflow environment for architectural visualization. This documentation explains how projects, inputs, prompts, workflows, and the AI model work together so you can move from sketch to presentation-ready images quickly and repeatably.
Boards & Projects
Organize work into projects, each with boards containing sessions, workflows, and visual history.
AI Workflows
Each workflow connects prompts, models, references, and generated results into one trackable flow.
Vertex AI Engine
Under the hood, image generation runs on Google Vertex AI with queue-based orchestration and NamO Point management for cost control and reliability. Vertex AI is a managed AI platform from Google Cloud; quotas and request limits depend on project, region, and model configuration.
End-to-end flow: board → workflow → result
Step 1
Go to the Projects screen and create a new project.
Step 2
Name it by client brief, course, or concept direction.
Step 3
Open the project.
Step 4
Create boards by work goal (e.g. Concept, Materials, Camera Angles, Final Options).
Step 5
Inside each board, run the right workflows (generate, edit, camera sync, refine) to create and iterate options.
Step 6
Use board and workflow history to review, pick the best options, and refine or export.
Features
Features
Core product features are grouped into project management, input handling, prompt and style controls, the AI model, refinement tools, and export options. View all features.
Input & References
Upload sketches, renders, or photos as original items or references. These inputs anchor workflows for edit, camera sync, and camera-sync operations.
Enhance prompt with AI
Start from a simple prompt; the system analyzes and generates an optimized prompt (with or without a reference image) for more stable, repeatable results.
AI Model
Requests are queued through a backend that talks to Vertex AI models. Different model tiers (daily-limit vs credit-based) map to specific workflows like exterior, interior, and upscaling.
Refinement Tools
Use inpainting, outpainting, add or remove objects in the image, camera-angle change, and upscaling tools directly from the board to refine key areas without losing the wider context of your design.
Download Images
Download shortlisted images from boards and history so you can use them in slides, presentation boards, portfolios, or external editors without manually hunting through results.
Collections
Collections is your global gallery that aggregates all images you’ve created across projects and boards, so you can review, search, and reuse results without opening each project one by one.
Technical
Technical Capabilities
This section summarizes how the system is architected, how AI orchestration works, and how data is handled. View technical capabilities.
FAQ
FAQ
What models are used?
NamO Academy Studio uses image generation models on Google Vertex AI with different presets for free and credit-based tiers. On Vertex AI, available models and image generation features may change by version and preview status. See the Pricing and Subscription pages for current tier-to-model mappings.
How is storage handled?
Generated images are stored in cloud storage and counted toward your project storage indicator in the sidebar. You can delete sessions and history items to free up space.
Can I use this in commercial work?
See the Terms of Service for the latest policy on commercial usage. The intent is to support real studio and freelance workflows while respecting platform limits.