Patina Material Extract
Playground
Try it on WavespeedAI!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.
Features
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.
- Just have a plain surface photo? Try Patina Image-to-Map for direct map generation.
- Need to generate from text? Try Patina Material for prompt-driven PBR creation.
Why Choose This?
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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.
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Seamlessly tiling output Produces tileable material maps ready for use on any geometry without visible seams.
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Tiling direction control Choose omnidirectional tiling (both), horizontal-only, or vertical-only to match your UV mapping needs.
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Custom output size Specify any output resolution to match your target quality and performance requirements.
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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
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Reference image URL to extract a tiling material from. |
| prompt | Yes | Text description guiding which texture to extract (e.g. “the stone wall surface”, “the wood grain pattern”). |
| size | No | Output dimensions in width×height pixels. Default: 1024×1024. |
| tiling_mode | No | Seamless tiling direction: both (default), horizontal, or vertical. |
How to Use
- Upload your reference image — provide a photo containing the surface you want to extract.
- Write your prompt — describe which specific texture to extract from the image (e.g. “the brick wall in the background”, “the leather seat material”).
- Set size (optional) — specify output dimensions to match your target resolution.
- Choose tiling_mode (optional) — select both for omnidirectional tiling, or horizontal/vertical for axis-specific tiling.
- Submit — the model extracts and generates all PBR material maps in a single run.
- 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.
Related Models
- Patina Image-to-Map — Generate PBR maps directly from a plain surface photograph.
- Patina Material — Generate tileable PBR materials from a text description.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/patina/material-extract" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1024*1024",
"tiling_mode": "both"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | URL of the reference image to extract a tiling material from. | |
| prompt | string | Yes | - | Text description guiding which texture to extract (e.g., 'the stone wall surface', 'the wood grain pattern'). | |
| size | string | No | 1024*1024 | 256 ~ 1536 per dimension | The size of the generated material maps in pixels (width*height). |
| tiling_mode | string | No | both | both, horizontal, vertical | Seamless tiling direction. 'both' tiles in all directions; 'horizontal' or 'vertical' tiles only along one axis. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated PBR material maps. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |