API reference · patina

patina/material/extract

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDpatina/material/extract

Input Schema

12 parameters · 2 required · 10 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the image to extract a texture from.
`prompt`	string	Required	Describe which texture to extract from the image.
`maps`	string[]	Optional	Which PBR maps to predict. Deselect all to skip PBR estimation entirely. Defaults to all five. · Default: ["basecolor","normal","roughness","metalness","height"]
`seed`	integer	Optional	Random seed for reproducible generation.
`strength`	number	Optional	How much to transform the input image. Only used when image_url is provided. · Max: 1 · Default: 0.6
`tile_size`	integer	Optional	Tile size in latent space (64 = 512px, 128 = 1024px). · Min: 32 · Max: 256 · Default: 128
`tile_stride`	integer	Optional	Tile stride in latent space. · Min: 16 · Max: 128 · Default: 64
`tiling_mode`	string	Optional	Tiling direction: 'both' (omnidirectional), 'horizontal', or 'vertical'. · Options: both, horizontal, vertical · Default: "both" bothhorizontalvertical
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16
`output_format`	string	Optional	Output image format for textures and PBR maps. · Options: jpeg, png · Default: "png" jpegpng
`upscale_factor`	integer	Optional	Upscale factor for predicted PBR maps via SeedVR seamless upscaling. 0 = no upscaling, 2 = 2× resolution, 4 = 4× resolution. The base texture image is not upscaled. · Options: 0, 2, 4 · Default: 0 024
`num_inference_steps`	integer	Optional	Number of denoising steps for texture generation. · Min: 1 · Max: 8 · Default: 8

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "patina/material/extract",
    "maps": [
      "basecolor",
      "normal",
      "roughness",
      "metalness",
      "height"
    ],
    "image": "https://static.sandbase.ai/examples/patina/material/extract/input_image_0.png",
    "prompt": "the wall",
    "strength": 0.6,
    "tile_size": 128,
    "tile_stride": 64,
    "tiling_mode": "both",
    "output_format": "png",
    "upscale_factor": 0,
    "num_inference_steps": 8
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

← Back to PATINA