Grix vs. ArmorLab: AI Texture Generator vs. PBR Material Creation Tool (2026)

ArmorLab and Grix both produce PBR textures, but they take fundamentally different approaches. ArmorLab is a desktop tool for extracting PBR maps from existing photos or images — you bring a photo of a surface and ArmorLab derives the normal, roughness, metallic, and height maps from it. Grix is a browser-based AI generator that creates seamless PBR textures from text descriptions, synthesizing all maps from scratch.

Understanding this distinction will tell you which tool belongs in your pipeline — and for many workflows, both have a role.

What ArmorLab Does

ArmorLab is a free, open-source PBR material creation tool from the same developer as ArmorPaint. Its core function is photo-to-PBR extraction: import a photograph of a real-world surface, and ArmorLab analyzes it to produce normal, roughness, metallic, and height maps that approximate the surface's physical properties.

This approach is powerful when you have a good reference photo of a surface you want to recreate. A macro photo of aged concrete, a scan of weathered metal, a close-up of stone tile — ArmorLab extracts the PBR data from it. Output maps can be exported at up to 4K resolution.

ArmorLab is desktop software running locally. It processes images on your hardware, which means there are no cloud costs or bandwidth requirements, but it also means performance scales with your local GPU. The tool is free, available on Windows, macOS, and Linux.

What Grix Does

Grix generates seamless tileable PBR textures from text descriptions. You type a material description — "weathered copper roof tile with verdigris patina" or "dark oak parquet floor with slight gloss" — and Grix synthesizes all five maps (basecolor, normal, roughness, metallic, height) simultaneously. Tiling constraints are applied during generation, so all maps tile correctly from the first output.

Grix runs in the browser with no install required. A free trial is available at grixai.com/try with no signup. Paid plans start at $8/month (Light), $18/month (Pro), $49/month (Max).

Direct Comparison

Feature	Grix	ArmorLab
Input type	Text description	Photo / image
Output	5 PBR maps (basecolor, normal, roughness, metallic, height)	4 PBR maps (normal, roughness, metallic, height — derived from photo)
Tileable output	Yes — tiling applied during generation	Depends on source photo; may require post-processing
Platform	Browser (any OS)	Desktop (Windows, macOS, Linux)
Cost	Free trial; $8–$49/month	Free, open source
Custom materials	Yes — generate anything from text	Only what exists in a reference photo
Requires reference image	No	Yes

When to Use ArmorLab

ArmorLab is the right tool when you have a good reference photo of a specific real-world surface and want to digitize it. Photographing a wall on-site during a site visit, scanning a material sample, shooting reference at a construction site — ArmorLab extracts PBR data from real-world captures. The workflow is: photograph the surface, import to ArmorLab, adjust extraction parameters, export maps.

Since ArmorLab is free, it's also the right default choice if you already have photo references and want to avoid subscription costs. The quality of output depends entirely on the quality and characteristics of the input photo — a well-lit, close-up, perspective-corrected photo of a flat surface produces significantly better results than a casual shot.

When to Use Grix

Grix is the right choice when you need a material that doesn't exist in a reference photo — fantasy surfaces, sci-fi panels, custom weathering specifications, material variations not in any real-world catalog. When you need "corroded copper with blue-green patina and visible rivets" and you don't have a matching photograph, Grix generates it from the text description alone.

Grix is also better for tileable seamless outputs. Because tiling is a constraint applied during AI generation, all five maps tile correctly by default. Getting perfectly seamless tileable output from ArmorLab requires either a perfectly tileable source photo or post-processing in another tool.

Using Both in the Same Pipeline

The tools complement each other. For a realistic building visualization project: ArmorLab to digitize specific facade materials from on-site photography, Grix for interior materials that need custom specifications not captured in reference photos. For a game level: ArmorLab if you're building from scanned real-world references, Grix for procedural or fantasy surfaces.

Both tools export standard PBR map sets that import identically into Blender, Unity, Unreal Engine, and Godot. There's no pipeline friction from mixing sources — the downstream workflow is the same either way.

FAQ

See also: AI PBR Material Generator Comparison · How to Generate PBR Textures with AI · AI Texture Generator for Blender