作者注:详解如何使用 Nano Banana Pro (Gemini 3 Pro Image) 制作建筑正交蓝图,从平面图、立面图到剖面图,快速生成符合 CAD 标准的技术图纸

传统建筑蓝图制作需要精通 AutoCAD、Revit 等专业软件,耗时数小时甚至数天。Nano Banana Pro (Gemini 3 Pro Image Preview) 通过强大的视觉推理能力,让你用一句提示词即可生成符合专业标准的正交蓝图,包含平面图 (Plan)、立面图 (Elevation) 和剖面图 (Section)。

核心价值: 读完本文,你将学会使用 Nano Banana Pro 生成建筑正交蓝图,掌握线型控制、标注规范和多视图组合技巧,将概念设计转化为可施工的技术图纸。

Nano Banana Pro 建筑蓝图核心能力

Nano Banana Pro 是 Google DeepMind 基于 Gemini 3 Pro 推出的图像生成模型,在 2025 年底因其卓越的 建筑可视化能力 在建筑界引发病毒式传播。其在技术图纸生成方面的核心能力包括:

什么是建筑正交蓝图 (Orthographic Blueprint)?

建筑正交蓝图是使用 正交投影 (Orthographic Projection) 技术绘制的建筑技术图纸,遵循严格的制图标准。与透视图不同,正交投影保持尺寸比例精确,是建筑施工的法定依据。

三大核心视图:

1. 平面图 (Plan View): 从上方俯视建筑水平剖切后的投影,展示房间布局、墙体位置、门窗开口
2. 立面图 (Elevation View): 从正前方、侧方等方向观察建筑外观,展示外立面设计、高度关系
3. 剖面图 (Section View): 沿垂直面剖切建筑,展示内部空间层高、结构关系、楼板厚度

技术规范:

• 线型标准: 粗线 (0.5-0.7mm) 表示剖切部分,细线 (0.18-0.25mm) 表示投影部分
• 比例尺: 1:50、1:100、1:200 等标准建筑比例
• 标注系统: 尺寸标注、标高标注、材料标注、图纸索引
• 网格系统: 结构轴线编号 (A-Z, 1-99)

Nano Banana Pro Architectural Blueprint Generation Workflow

Step 1: Prepare Reference Images or Concept Descriptions

Nano Banana Pro supports two input methods:

Method 1: Generate Blueprints Based on Reference Images

Upload architectural photos, 3D renderings, or hand-drawn sketches, and AI automatically reverse-engineers them into technical blueprints.

Example Prompt:

Create an orthographic blueprint that describes this building in plan, elevation, and section.

Technical requirements:
- Use strict CAD linework with variable line weights
- Thick lines (0.7mm) for cut elements (walls, ground)
- Thin lines (0.25mm) for projected elements (doors, windows, furniture)
- Include dimensions in meters
- Label "North Elevation" and "Main Entrance"
- Add structural grid lines (A-D, 1-5)
- Use technical architectural font for annotations
- Include scale bar (1:100)

Layout: Grid format with Plan View (top left), Front Elevation (top right), Section A-A (bottom)

Method 2: Generate Blueprints from Pure Text Descriptions

Directly describe architectural design intent in natural language, and AI automatically generates standardized blueprints.

Example Prompt:

Generate an orthographic blueprint for a two-story modern villa.

Building specifications:
- Ground floor: Living room (6m x 8m), Kitchen (4m x 5m), Bathroom (2m x 3m)
- Second floor: Master bedroom (5m x 6m), Two bedrooms (4m x 4m each), Bathroom (2m x 3m)
- Total footprint: 12m x 10m
- Floor height: 3.2m each
- Flat roof with parapet

Blueprint requirements:
- Plan view showing room layout and furniture placement
- North and South elevations showing fenestration
- Section view cutting through main staircase
- Technical line weights and dimension annotations
- Scale 1:100

Key Tips:

• Specify line type requirements: "strict CAD linework" / "variable line weights"
• Designate view types: "plan", "elevation", "section"
• Include dimensional information: room dimensions, floor heights, bay depths
• Annotation requirements: "label", "annotate", "dimension lines"
• Scale: Clearly specify drawing scale (1:50 / 1:100 / 1:200)

Step 2: Call API to Generate Blueprints

Here's a Python code example for calling the Nano Banana Pro API to generate architectural blueprints (via APIYi platform):

import openai

client = openai.OpenAI(
    api_key="YOUR_APIYI_KEY",
    base_url="https://vip.apiyi.com/v1"
)

response = client.images.generate(
    model="gemini-3-pro-image-preview",
    prompt="""Create an orthographic blueprint for Neuschwanstein Castle in plan, elevation, and section.

    Use professional CAD linework with variable line weights.
    Include dimension annotations and scale 1:200.""",
    size="2048x2048",
    quality="hd"
)

blueprint_url = response.data[0].url
print(f"Blueprint generated successfully: {blueprint_url}")

import openai
from typing import Optional, List

def generate_architectural_blueprint(
    building_description: str,
    views: List[str] = ["plan", "elevation", "section"],
    scale: str = "1:100",
    line_weights: bool = True,
    dimensions: bool = True,
    resolution: str = "2048x2048"
) -> str:
    """
    Generate architectural orthographic blueprint

    Args:
        building_description: Building description or reference image path
        views: View types to generate
        scale: Drawing scale
        line_weights: Whether to use variable line weights
        dimensions: Whether to include dimension annotations
        resolution: Output resolution (2048x2048 or 4096x4096)

    Returns:
        URL of generated image
    """
    client = openai.OpenAI(
        api_key="YOUR_APIYI_KEY",
        base_url="https://vip.apiyi.com/v1"
    )

    # Build technical specifications
    technical_specs = []

    if line_weights:
        technical_specs.append("Use strict CAD linework with variable line weights")
        technical_specs.append("Thick lines (0.7mm) for cut elements")
        technical_specs.append("Thin lines (0.25mm) for projected elements")

    if dimensions:
        technical_specs.append("Include dimension annotations in meters")
        technical_specs.append("Add structural grid lines")

    technical_specs.append(f"Scale: {scale}")
    technical_specs.append("Use technical architectural font")

    # Build view layout
    view_layout = ", ".join([f"{v.capitalize()} View" for v in views])

    # Complete prompt
    prompt = f"""Create an orthographic blueprint for: {building_description}

Views required: {view_layout}

Technical requirements:
{chr(10).join(f"- {spec}" for spec in technical_specs)}

Layout: Professional blueprint grid with all views labeled
Background: Light blue grid paper (typical blueprint style)
"""

    try:
        response = client.images.generate(
            model="gemini-3-pro-image-preview",
            prompt=prompt,
            size=resolution,
            quality="hd"
        )
        return response.data[0].url
    except Exception as e:
        return f"Generation failed: {str(e)}"

# Usage example
result = generate_architectural_blueprint(
    building_description="A modern single-family house with 3 bedrooms, 2 bathrooms, and open-plan living area",
    views=["plan", "north_elevation", "south_elevation", "section"],
    scale="1:100",
    line_weights=True,
    dimensions=True,
    resolution="2048x2048"
)
print(result)

Quick Test: Get test credits for Nano Banana Pro through APIYi at apiyi.com. The platform uniformly supports OpenAI SDK calling format. Visit imagen.apiyi.com to experience blueprint generation online without programming.

Step 3: Optimize Line Types and Annotations

Nano Banana Pro supports multi-turn conversational editing for fine-tuning generated blueprints:

Common Optimization Needs:

1. Adjust Line Weights

   Make the wall lines thicker (0.9mm) and furniture lines lighter (0.15mm) for better contrast
   

2. Add Dimension Annotations

   Add dimension lines showing room sizes in meters. Include overall building dimensions (length x width)
   

3. Supplement Section Annotations

   In the section view, add floor height annotations (e.g., "FL +0.00", "FL +3.20", "FL +6.40")
   Add material hatching for concrete walls and indicate insulation layers
   

4. Optimize Grid System

   Add structural grid lines labeled A-D (vertical) and 1-5 (horizontal)
   Show grid spacing dimensions
   

5. Adjust View Layout

   Rearrange the layout: Plan view at top, Front and Rear elevations in middle row, Section A-A at bottom
   Align all views to the same baseline for consistency
   

Professional Tips:

• Use architectural terminology like "hatch", "baseline", "grid spacing" to improve precision
• Specify exact line width values (e.g., 0.7mm, 0.25mm) instead of "thick/thin"
• Reference standard drawing specifications (e.g., GB/T 50104-2010 Architectural Drawing Standards)

Step 4: Export and Post-Processing

Generated blueprints can be directly used for:

• Design Proposals: Concept drawings for client presentations
• Construction Reference: Construction guidance drawings for small projects
• Educational Demonstrations: Case studies in architectural education

Post-Processing Recommendations:

1. Import to CAD Software: Open PNG in Adobe Illustrator or Inkscape, convert to vector graphics
2. Detailed Adjustments: Supplement precise dimensions and material annotations in AutoCAD
3. Print Output: 2K resolution suitable for A3 printing, 4K suitable for A1 large format

Technical Analysis of Nano Banana Pro Blueprint Generation

1. Visual Reasoning

The core advantage of Nano Banana Pro lies in its "derendering" reverse engineering capability, which reverse-engineers structural logic from visual information.

Technical Principles:

• Identifies walls, doors, windows, roofs, and other elements in architectural photographs
• Infers spatial depth and floor height relationships
• Automatically generates geometrically logical floor plans, elevations, and sections

Practical Application:
According to Architizer Journal reports, architect Sarah Chen used Nano Banana Pro to reverse-generate precise blueprints from historical building photographs for technical drawing preparation in restoration projects, reducing traditional surveying time from 2 weeks to 30 minutes.

2. CAD-Level Line Type Control

According to Google AI official documentation, Nano Banana Pro supports professional CAD line type specifications:

Prompt Example:

Use professional CAD line weights:
- 0.9mm thick continuous lines for cut walls and structural elements
- 0.35mm medium lines for visible edges and door/window frames
- 0.18mm thin lines for floor patterns and furniture details
- 0.18mm dashed lines for hidden elements (upper floor projection)
- 0.25mm dash-dot lines for structural grid axes

3. Text Annotation System

Nano Banana Pro's text rendering capability is crucial for architectural blueprints:

Supported Annotation Types:

• Dimension Annotations: Room dimensions, wall thickness, door/window openings
• Level Annotations: Floor levels (±0.000, +3.200)
• Material Annotations: Wall materials (240mm brick wall, C30 concrete)
• Drawing Index: Drawing numbers, scale, north indicator
• Room Numbers: Functional zone identification (01 Living Room, 02 Bedroom)

Font Specifications:

• Western Characters: Arial, Helvetica (clean sans-serif)
• Chinese Characters: Heiti, Fangsong (clear and readable)
• Numbers: Monospaced fonts (aligned dimension annotations)

Nano Banana Pro vs Traditional CAD Software Comparison

Conclusion: Nano Banana Pro is suitable for rapid visualization in early design stages, while traditional CAD is appropriate for precision drawing in construction phases. Best practice is combined use: AI-generated drafts → CAD refinement → construction drawing review.

Comparison Notes: The above time data is from ArchiLabs.ai testing reports. Verification can be conducted through the apiyi.com platform at $0.05/image (compared to Google's official 4K pricing of $0.24/image, saving 79%).

Advanced Techniques for Architectural Blueprints with Nano Banana Pro

1. Multi-View Combined Generation

Referring to the iMini AI Tutorial, you can generate a complete drawing set in one go:

prompt = """Generate a complete orthographic blueprint set for a modern art gallery.

Required views:
1. Ground Floor Plan (1:100) - showing exhibition halls, entrance lobby, cafe
2. First Floor Plan (1:100) - showing administrative offices, storage
3. North Elevation (1:100) - main entrance facade
4. South Elevation (1:100) - rear service entrance
5. Section A-A (1:100) - cutting through main exhibition hall showing double-height space
6. Section B-B (1:100) - cutting through staircase

Layout: 2x3 grid with consistent alignment
Technical: CAD line weights, dimension annotations, structural grid (A-F, 1-8)
Style: Professional blueprint on light blue grid paper
"""

Advantage: All views are automatically aligned, ensuring dimensional consistency.

2. Historic Building Surveying

Nano Banana Pro can reverse-engineer historic building photographs into measured drawings:

# Upload historic building photo
with open("historic_building.jpg", "rb") as img:
    response = client.images.generate(
        model="gemini-3-pro-image-preview",
        prompt="""Reverse engineer this historic building into an orthographic blueprint.

        Generate:
        - Measured floor plan with room dimensions
        - Front and side elevations showing architectural details
        - Section view revealing ceiling heights and structural system

        Preserve:
        - Original window proportions and spacing
        - Decorative elements (cornices, pilasters, moldings)
        - Roof pitch and chimney locations

        Technical: 1:50 scale, detailed dimension annotations""",
        image=img
    )

Application Scenarios: Cultural heritage preservation, historic building restoration, retrofitting of old buildings.

3. Parametric Design Iteration

Leverage Nano Banana Pro to rapidly generate multiple design alternatives:

# Batch generate different unit type schemes
for layout in ["1-bedroom", "2-bedroom", "3-bedroom"]:
    prompt = f"""Generate floor plan blueprint for a {layout} apartment unit.

    Specifications:
    - Total area: {"50sqm" if layout == "1-bedroom" else "80sqm" if layout == "2-bedroom" else "120sqm"}
    - Include: Living room, Kitchen, Bathroom(s), Bedroom(s), Balcony
    - Open-plan living/dining area
    - Efficient circulation (minimize corridor space)

    Blueprint requirements:
    - 1:50 scale with dimension annotations
    - Furniture layout showing functional zones
    - Door swing directions and window positions
    - Total area calculation annotation
    """

    response = client.images.generate(
        model="gemini-3-pro-image-preview",
        prompt=prompt
    )

    # Save for scheme comparison
    print(f"{layout} scheme generated")

Efficiency Improvement: Traditional hand-drawing of 3 schemes requires 6-8 hours, AI generation only takes 3 minutes.

Practical Application Scenarios and Case Studies

Scenario 1: Rapid Drawing Production for Architectural Competitions

Requirement: Complete conceptual design and technical drawings within a 48-hour competition deadline

Solution:

1. Sketch Phase: Hand-drawn concept sketches (2 hours)
2. AI Blueprint Generation: Upload sketches, generate plan, elevations, and sections (10 minutes)
3. Design Iteration: Adjust design based on review feedback (5 iterations, 1 hour total)
4. Refinement: Import to CAD to supplement detailed annotations (4 hours)

Time Comparison:

• Traditional Process: Sketches 2h + CAD drawing 20h = 22 hours
• AI-Assisted Process: Sketches 2h + AI generation 1h + CAD refinement 4h = 7 hours
• Saves 15 hours (68% efficiency improvement)

Scenario 2: Interior Design Floor Plan Generation

Requirement: Provide client with 3 different style layout schemes

Workflow:

On-site measurement → Input unit parameters → AI generates 3 layouts → Client selection → Design development

Real Case (from Fenestra Blog):
Interior designer Lisa Wang used Nano Banana Pro to generate three floor plan layouts for a 120㎡ residence in modern minimalist, Scandinavian, and industrial styles. The client selected a scheme on the spot, achieving contract signing in just 1 hour from first meeting (traditional process requires 1-2 weeks).

Scenario 3: Architectural Education Case Demonstration

Requirement: Quickly demonstrate orthographic projection principles in architectural education

Teaching Process:

1. Display building 3D model or photograph
2. Use Nano Banana Pro to generate plan, elevations, and sections in real-time
3. Students understand the correspondence between orthographic views and actual buildings

Teaching Advantages:

• Traditional Method: Teacher manual demonstration (30 minutes) + student practice (2 hours)
• AI-Assisted Method: Real-time generation demonstration (5 minutes) + student comprehension of principles (30 minutes)
• Saves 70% teaching time, allowing students to focus on design thinking rather than mechanical drafting

Nano Banana Pro API Pricing and Platform Selection

Official Pricing (Google Vertex AI)

Enterprise Subscription: Google Cloud enterprise accounts require additional platform management fees (monthly fee $100+)

APIYi Platform Pricing ⭐ Recommended

Basic Pricing

• Unified Price: $0.05/image (Resolution-agnostic, covers 1K/2K/4K)
• Discount Rate:
  • vs. Official 4K: Save 79% (approximately 20% of original price)
  • vs. Official 2K: Save 63% (approximately 37% of original price)

Special Offers for Architectural Design Teams

Applicable To: Design institutes, architectural firms, and BIM consulting companies with daily consumption > 5,000 images

Cost Calculation Example:

Assuming a mid-sized design institute generates 5,000 blueprints monthly (including floor plans, elevations, and sections):

Annual Savings: $12,000 (Save 83%)

Additional Value: Based on an architect's monthly salary of ¥12,000, AI-assisted drafting saves 40 hours of labor per month = ¥6,000 in labor cost savings, ROI of 2400%.

Performance Advantages

• Generation Speed:
  • 1K/2K: approximately 30 seconds/image
  • 4K: approximately 1 minute/image
• Stability: Based on Google Cloud T3 tier and above enterprise accounts
• Concurrency Control: Unlimited concurrency, supports team collaboration for batch generation
• Daily Capacity: Platform processes 100,000+ images daily on average (January 2026 data)

Payment Methods

• ✅ Alipay / WeChat Pay
• ✅ USDT (convenient for overseas clients, serving European and American architectural firms)
• ✅ Corporate Transfer (supports enterprise procurement invoices)
• ✅ No overseas credit card required

Quick Start

• Developer Documentation: docs.apiyi.com
• Official Website: api.apiyi.com
• Online Testing: imagen.apiyi.com (free trial of Nano Banana Pro blueprint generation)

Frequently Asked Questions

Scale: 1:100 (indicate with scale bar showing 0-1-2-5-10 meters)
Include dimension annotations:
- Overall building: 12.0m x 8.5m
- Room sizes: Living room 6.0m x 4.5m, Bedroom 3.6m x 3.3m
- Wall thickness: 240mm exterior walls, 120mm interior partitions

Summary

Core advantages of Nano Banana Pro for architectural orthographic blueprint generation:

1. Visual Reasoning: Automatically understands architectural spatial logic, generating multi-view drawings that comply with geometric standards
2. CAD-Level Line Types: Automatically differentiates line weights for section cuts vs. projected elements, meeting drafting standards
3. Efficient Iteration: Completes plan-elevation-section three-view drawings in 3 minutes vs. traditional 8 hours
4. Cost Advantage: Accessible via APIYI platform at only 20% of Google's official pricing

For architects, interior designers, and architecture students, Nano Banana Pro transforms technical drafting from "time-consuming mechanical labor" into a "rapid design tool," enabling designers to invest 80% of their time in creative thinking and only 20% in drawing representation.

Recommended to quickly validate results through APIYI apiyi.com, which provides free trial credits, unified OpenAI SDK calling format, and preferential pricing of $0.05/image covering 1K-4K resolutions. Visit imagen.apiyi.com to experience architectural blueprint generation online.

Author: Technical Team
Technical Exchange: Welcome to share your architectural blueprint works in the comments. For more AI architectural design resources, visit the APIYI apiyi.com technical community

References:

• Nano Banana Pro Official Documentation
• The Nano Banana Effect: Architectural Visualization
• How to Use Nano Banana Pro for Architecture
• Google AI Nano Banana for Architecture
• Gemini 3 Pro Image Documentation