Hextile Templates

Templates define how your 360° image is divided into hexagonal tiles for processing. Choosing the right template balances quality, processing time, and resource usage.

Template Overview

360 Hextile includes three preset templates:

Hextile_20_2K - Fast Processing

Specifications

• Total Tiles: 20 hexagons
• Tile Resolution: 2048 x 2048 pixels
• Coverage: Balanced distribution
• Processing Time: ~2 minutes (RTX 4090)
• VRAM Required: 6-8 GB

When to Use

• Quick previews: Test prompts and settings
• Iteration: Try multiple variations quickly
• Limited hardware: Works on entry-level GPUs
• Learning: Great for getting familiar with the system

Pros

• Fastest processing
• Lowest VRAM requirements
• Good for experimentation
• Quick turnaround

Cons

• Lower detail level
• May show slight seams
• Not suitable for final production
• Limited resolution scalability

Hextile_32_3K - Balanced (Recommended)

Specifications

• Total Tiles: 32 hexagons
• Tile Resolution: 3072 x 3072 pixels
• Coverage: Optimal distribution
• Processing Time: ~3 minutes (RTX 4090)
• VRAM Required: 8-10 GB

When to Use

• Production work: Best quality/time ratio ⭐
• General use: Covers most use cases
• Balanced approach: Good detail without excessive wait
• Mid-range hardware: Runs well on mainstream GPUs

Pros

• Excellent quality/speed balance
• Seamless results
• Handles fine details well
• Reasonable processing time

Cons

• Requires mid-range GPU
• Moderate processing time
• Higher than minimum VRAM

Recommended Settings

{
  "template": "Hextile_32_3K",
  "mode": "sequential",
  "strength": 0.4,
  "guidance_scale": 7.5,
  "steps": 35
}

Hextile_44_4K - Maximum Quality

Specifications

• Total Tiles: 44 hexagons
• Tile Resolution: 4096 x 4096 pixels
• Coverage: Maximum density
• Processing Time: ~4 minutes (RTX 4090)
• VRAM Required: 10-12 GB

When to Use

• Final production: Highest quality output
• Large prints: When every detail matters
• Professional work: Client deliverables
• High-end hardware: You have a powerful GPU

Pros

• Maximum detail preservation
• Perfect seam blending
• Handles complex textures
• Best for large outputs

Cons

• Longest processing time
• Requires high-end GPU
• High VRAM usage
• Overkill for web use

Recommended Settings

{
  "template": "Hextile_44_4K",
  "mode": "sequential",
  "strength": 0.35,
  "guidance_scale": 8.0,
  "steps": 40
}

Template Structure

Each template consists of:

Tile Geometry

Hexagonal tiles arranged in a geodesic pattern: - Even distribution across the sphere - Minimal distortion - Seamless overlap regions

Metadata Files

hextiles.json: Tile configuration

{
  "tiles": [
    {
      "tile_id": "tile_001",
      "position": [x, y, z],
      "rotation": [rx, ry, rz],
      "resolution": [4096, 4096]
    }
  ]
}

tilegen.json: Template parameters

{
  "num_tiles": 44,
  "tile_resolution": 4096,
  "overlap_percentage": 0.1,
  "projection_type": "equirectangular"
}

Inpaint Masks

Each tile includes an inpainting mask: - Defines overlap regions - Ensures seamless blending - Prevents edge artifacts

Choosing the Right Template

Decision Tree

Start
  ├─ Testing/Preview? → 20_2K
  ├─ Production Work?
  │   ├─ 6-8GB VRAM? → 32_3K
  │   └─ 10GB+ VRAM? → 44_4K
  └─ Final Deliverable? → 44_4K

By Use Case

Web Display - Resolution: Up to 4K - Template: 32_3K ✓ - Reasoning: Web viewers rarely show full detail

Print/Large Format - Resolution: 8K+ - Template: 44_4K ✓ - Reasoning: Print reveals all details

VR/Gaming - Resolution: 4K-6K - Template: 32_3K or 44_4K ✓ - Reasoning: Depends on target platform

Social Media - Resolution: 2K-4K - Template: 20_2K or 32_3K ✓ - Reasoning: Compressed for social platforms

Custom Templates

Want to create your own template? See the TILEGEN Guide.

Custom Template Benefits

• Specific tile count: Match your needs exactly
• Custom resolution: Optimize for your hardware
• Specialized patterns: Adapt to specific content types
• Experimental: Try new approaches

Requirements

• Blender 3.x installed
• Python 3.8+
• Understanding of 3D geometry
• Time for experimentation

Template Performance Comparison

Based on RTX 4090 (24GB VRAM):

Processing Time by Steps

VRAM Usage by Mode

Tips and Best Practices

Start Small

Always test with 20_2K first: 1. Upload your image 2. Try different prompts 3. Find settings you like 4. Then move to 32_3K or 44_4K

Match Output to Use

Don't over-process: - Web? 32_3K is plenty - Instagram? 20_2K works fine - Print? Go with 44_4K - VR? Depends on platform

Consider Processing Time

Factor in your workflow: - Need quick iterations? → 20_2K - Overnight processing? → 44_4K - Balanced approach? → 32_3K

VRAM Headroom

Leave some VRAM free: - Don't max out your GPU - Keep 2GB free for system - Monitor temperature - Consider sequential mode

Troubleshooting Templates

Template Not Loading

Error: "Template not found"

Solutions: - Verify template folder exists - Check folder name matches exactly - Ensure all metadata files present - Re-download if corrupted

Out of Memory

Error: "CUDA out of memory"

Solutions: - Use smaller template - Switch to sequential mode - Close other applications - Reduce batch size

Poor Quality Results

Issue: Results look low quality

Check: - Using correct template for output size? - Sufficient diffusion steps? - Appropriate strength setting? - Input image quality adequate?

Next Steps

• ⚙️ Processing Options - Configure AI settings
• 🎨 Output Settings - Format and quality options
• 🏗️ TILEGEN - Create custom templates
• 🔧 Performance Tips - Optimize processing

Ready to process? Continue to Processing Options →