Templates

Understanding hexagonal tile templates and choosing the right one for your project

Last updated: 2026-01-01

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:

Template Tiles Resolution Processing Time VRAM Usage Best For
20_2K 20 2048x2048 ~2 min 6-8 GB Testing, previews
32_3K 32 3072x3072 ~3 min 8-10 GB Production work ⭐
44_4K 44 4096x4096 ~4 min 10-12 GB Maximum quality

Note: Times vary by pipeline — FLUX.1 Schnell processes in seconds per tile; Qwen-Image BF16 may take minutes per tile. Times shown are approximate for SDXL on RTX 4090.

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

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
{
  "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
{
  "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

Create custom templates directly in the application using the Procedural Template Generator — no external tools required.

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

Procedural Template Generator

The built-in Procedural Template Generator lets you create fully custom hextile templates from 14 polyhedral geometries (icosahedron, dodecahedron, rhombicuboctahedron, and more). Key features include:

  • 14 polyhedral base geometries with configurable subdivision levels
  • Visual coverage map — see exactly how tiles distribute across the 360° sphere before generating
  • Import/Export — share templates as ZIP archives or import community templates
  • No Blender or external dependencies — everything runs inside the application

See Procedural Template Generator for the full guide.

Template Performance Comparison

Based on RTX 4090 (24GB VRAM) with SDXL pipeline. Times vary by pipeline — FLUX.1 Schnell processes in seconds per tile; Qwen-Image BF16 may take minutes per tile.

Processing Time by Steps

Template 20 Steps 30 Steps 40 Steps 50 Steps
20_2K ~1 min ~1.5 min ~2 min ~2.5 min
32_3K ~1.5 min ~2 min ~3 min ~4 min
44_4K ~2 min ~3 min ~4 min ~5 min

VRAM Usage by Mode

Template Sequential Batch (2x) Batch (4x)
20_2K 6 GB 10 GB 16 GB
32_3K 8 GB 14 GB 22 GB
44_4K 10 GB 18 GB 28 GB

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


Ready to process? Continue to Pipeline Settings

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