Logo Generator

Generate professional SVG logos and high-end showcase presentations for products and brands.

Workflow

Phase 1: Information Gathering

Collect essential information from the user:

1. Product/Brand Name (required)
2. Industry/Category (e.g., AI, fintech, design tools)
3. Core Concept (e.g., connection, flow, security, simplicity)
4. Design Preferences:
   • Style: minimal/complex, geometric/organic
   • Color preference: monochrome/specific colors
   • Mood: cold/warm, professional/friendly

Ask concise questions to gather this information. Don't overwhelm the user with too many questions at once.

Phase 2: Pattern Matching & SVG Generation

Based on the gathered information:

1. Generate at least 6 design variants based on

   references/design_patterns.md

   • Match patterns to product characteristics
   • Use different pattern types and combinations for diversity
   • Include both single-pattern and mixed-pattern compositions
   • Vary complexity levels (simple geometric to layered compositions)
   • Each variant should feel distinctly different, not just parameter tweaks
   • Explain the design rationale for each variant

2. Generate SVG code for each variant

   • Use viewBox="0 0 100 100" for easy scaling
   • Keep code clean and well-structured
   • Use

     currentColor

     for flexible color control
   • Add subtle animations for web display (optional)

3. Create interactive showcase webpage

   • Display all 6+ logo variants in a grid layout
   • Use the template from

     assets/showcase_template.html

   • Include hover effects and smooth transitions
   • Add design rationale for each variant
   • Allow easy comparison between variants

Phase 3: Iteration & Refinement

Allow user to provide feedback:

• Select favorite variants (narrow down from 6+ to 2-3)
• Adjust specific parameters (size, spacing, rotation)
• Combine elements from different variants
• Change colors or add gradients
• Modify animations or effects
• Generate additional variants exploring specific directions

Make targeted adjustments based on feedback. Don't regenerate everything unless requested.

Phase 4: High-End Showcase Generation

Once the user selects a preferred logo direction:

1. Export SVG to PNG

   • Use

     scripts/svg_to_png.py

     to convert SVG to PNG
   • Default size: 1024x1024px
   • Ensure transparent background

2. Select showcase styles

   • Review

     references/background_styles.md

   • Recommend 4 styles based on product type and mood
   • Explain why each style fits

3. Generate showcase images

   • Set up environment (copy

     .env.example

     to

     .env

     , add API key)
   • Use

     scripts/generate_showcase.py

     with

     --all-styles

     flag
   • Or generate specific styles individually
   • Each image uses the PNG as reference with Nano Banana API

4. Create final presentation webpage

   • Combine SVG variants and showcase images
   • Use professional layout with micro-typography
   • Include download links for all assets

Phase 5: Delivery

Provide the user with:

• Interactive HTML showcase page
• SVG files (editable vector format)
• PNG exports (various sizes if requested)
• Showcase images (4 professional backgrounds)

Key Design Principles

1. Provide Variety: Generate at least 6 distinct variants to give users real choices
2. Start Simple: Begin with basic patterns, add complexity only when needed
3. Meaningful Design: Connect visual elements to product concepts
4. Scalability: Ensure logos work at all sizes
5. Professional Quality: Match high-end brand identity standards
6. Flexibility: Provide multiple variants for different use cases

Technical Notes

SVG Best Practices

• Keep viewBox at

  0 0 100 100

  for consistency
• Use semantic grouping with

  <g>

  tags
• Leverage

  <defs>

  for reusable elements
• Use

  <clipPath>

  for masking effects
• Prefer geometric primitives over complex paths when possible

Showcase Image Generation

The

generate_showcase.py

script requires:

• Python 3.8+
• Dependencies:

  pip install -r requirements.txt

• Environment variables in

  .env

  file
• Reference PNG image (exported from SVG)

Supports both official Google Gemini API and third-party endpoints via

GEMINI_API_BASE_URL

.

Available Background Styles

From

references/background_styles.md

:

12 Professional Styles Available:

Dark Styles (6):

• void (绝对虚空) - Absolute minimalism, hardcore tech
• frosted (磨砂穹顶) - Modern breathing space, premium products
• fluid (流体深渊) - AI-native fluidity, dynamic systems
• spotlight (物理影棚) - Studio lighting, editorial quality
• analog_liquid (物理流体) - Metallic shimmer on solid color base, creative brands
• led_matrix (数字硬件) - Digital retro, cyberpunk aesthetics

Light Styles (6):

• editorial (纸本编辑) - Specialty paper, humanistic brands
• iridescent (幻彩透砂) - Optical materials, tech hardware
• morning (晨雾光域) - AI softness, approachable products
• clinical (无菌影棚) - Spatial order, algorithm-driven brands
• ui_container (容器化界面) - Digital product native, SaaS platforms
• swiss_flat (瑞士扁平) - Absolute flatness, timeless authority

Each style has specific visual characteristics and suitable use cases. Consult the reference document for details.

Common Patterns

Pattern: Concentric Circle Dots

<svg viewBox="0 0 100 100">
  <g>
    <!-- Inner ring: 6 dots -->
    <circle cx="50" cy="38" r="3" fill="currentColor"/>
    <!-- Add more dots in circular arrangement -->
  </g>
</svg>

Pattern: Geometric Shape with Line Accent

<svg viewBox="0 0 100 100">
  <polygon points="50,30 70,60 30,60" fill="none" stroke="currentColor" stroke-width="2"/>
  <circle cx="50" cy="30" r="4" fill="currentColor"/>
</svg>

Pattern: Node Network

<svg viewBox="0 0 100 100">
  <path d="M 30 70 Q 50 70, 50 50 T 70 30" stroke="currentColor" stroke-width="2" fill="none"/>
  <circle cx="30" cy="70" r="4" fill="currentColor"/>
  <circle cx="50" cy="50" r="5" fill="currentColor"/>
  <circle cx="70" cy="30" r="4" fill="currentColor"/>
</svg>

For more patterns and combinations, see

references/design_patterns.md

.

Troubleshooting

SVG not displaying correctly: Check viewBox and ensure all paths are closed

PNG export fails: Verify cairosvg is installed (

pip install cairosvg

)

Showcase generation fails:

• Check

  .env

  file has valid

  GEMINI_API_KEY

• Verify reference PNG exists and is readable
• Check API quota/rate limits

Third-party API not working: Ensure

GEMINI_API_BASE_URL

is correctly formatted (e.g.,

https://api.example.com/v1

)