PATINA Material generates complete seamlessly tiling PBR material sets (basecolor, normal, roughness, metalness, height) from text prompts — perfect for game engines, 3D rendering, and material libraries. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
待機中






$0.481回あたり·~20 / $10

crumpled silk fabric

rusted iron plate
Patina Material generates a complete set of seamlessly tiling PBR material maps from a text description. Describe any surface — weathered wood, cracked clay, brushed metal — and the model produces a full material map set ready for use in game engines, 3D tools, and real-time rendering pipelines.
Text-driven PBR generation Generate complete material map sets from a natural language description — no reference photo or manual authoring required.
Seamless tiling control Choose omnidirectional tiling (both), horizontal-only, or vertical-only to match your specific UV mapping and surface application needs.
Custom output size Specify any output resolution to match your target quality and performance requirements.
Production-ready output Maps are formatted for direct use in game engines (Unreal, Unity), 3D tools (Blender, Maya), and real-time rendering pipelines.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the material to generate (e.g. "weathered oak wood planks", "cracked desert clay"). |
| size | No | Output dimensions in width×height pixels. Default: 1024×1024. |
| tiling_mode | No | Seamless tiling direction: both (default), horizontal, or vertical. |
Just $0.48 per run (6 maps).
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/patina/material with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Patina Material below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/patina/material" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"tiling_mode": "both"
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("wavespeed-ai/patina/material", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"tiling_mode": "both"
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"wavespeed-ai/patina/material",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"tiling_mode": "both"
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorPatina Material is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. PATINA Material generates complete seamlessly tiling PBR material sets (basecolor, normal, roughness, metalness, height) from text prompts — perfect for game engines, 3D rendering, and material libraries. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/patina-material.
Patina Material starts at $0.48 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `size`, `tiling_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/patina-material.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.