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PATINA Material Extract

wavespeed-ai /

PATINA Material Extract turns any photograph or reference image into a complete seamlessly tiling PBR material set (basecolor, normal, roughness, metalness, height), guided by a text prompt. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Input

Drag & drop or click to upload

preview
width
height
1024 × 1024 px
Range: 256 - 1536

Idle

The wallpaper.
The wallpaper.
The wallpaper.
The wallpaper.
The wallpaper.
The wallpaper.

您的请求将花费 $1.02 每次运行。

还有一件事:

示例查看全部

The wallpaper.
The wall.

README

Patina Material Extract

Patina Material Extract extracts a seamlessly tiling PBR material from any reference image. Upload a photo of a real-world surface, describe which texture to extract, and the model produces a complete tileable material map set — isolating the target surface from complex scenes and converting it into production-ready PBR maps.

Why Choose This?

  • Surface extraction from complex scenes Isolate and extract a specific material from photos that contain multiple surfaces, objects, or backgrounds — guided by your text description.

  • Seamlessly tiling output Produces tileable material maps ready for use on any geometry without visible seams.

  • Tiling direction control Choose omnidirectional tiling (both), horizontal-only, or vertical-only to match your UV mapping needs.

  • Custom output size Specify any output resolution to match your target quality and performance requirements.

  • Production-ready PBR maps Output is formatted for direct use in game engines (Unreal, Unity), 3D tools (Blender, Maya), and real-time rendering pipelines.

Parameters

ParameterRequiredDescription
imageYesReference image URL to extract a tiling material from.
promptYesText description guiding which texture to extract (e.g. "the stone wall surface", "the wood grain pattern").
sizeNoOutput dimensions in width×height pixels. Default: 1024×1024.
tiling_modeNoSeamless tiling direction: both (default), horizontal, or vertical.

How to Use

  1. Upload your reference image — provide a photo containing the surface you want to extract.
  2. Write your prompt — describe which specific texture to extract from the image (e.g. "the brick wall in the background", "the leather seat material").
  3. Set size (optional) — specify output dimensions to match your target resolution.
  4. Choose tiling_mode (optional) — select both for omnidirectional tiling, or horizontal/vertical for axis-specific tiling.
  5. Submit — the model extracts and generates all PBR material maps in a single run.
  6. Download your complete tileable map set ready for use in your 3D pipeline.

Pricing

Just $1.02 per run (6 images).

Best Use Cases

  • Game development — Extract tileable PBR materials directly from photo references for environment and prop texturing.
  • Architectural visualization — Digitize real-world surface materials from photography for accurate scene reproduction.
  • Asset digitization — Convert complex real-world scene photos into individual, reusable tileable material assets.
  • 3D environment art — Extract specific surface materials from concept art, mood boards, or reference photography.
  • Texture library building — Rapidly generate large libraries of tileable PBR materials from photo collections.

Pro Tips

  • Be specific in your prompt about which surface to extract — include location, color, or texture characteristics (e.g. "the dark grey concrete floor" rather than just "concrete").
  • Use images where the target surface occupies a clearly visible area for the most accurate extraction.
  • Avoid heavily shadowed or overexposed areas of the target surface for cleaner albedo map results.
  • Use tiling_mode = both for floor, wall, and terrain materials; use horizontal or vertical for directional surfaces like planks or fabric.

Notes

  • Both image and prompt are required fields.
  • Each run generates a full set of PBR map types as output.
  • Ensure image URLs are publicly accessible if using a link rather than a direct upload.
  • Please ensure your content complies with WaveSpeed AI's usage policies.

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