# PATINA · Material API

> Text-zu-Textur-Generator, deen tilebar Biller plus PBR-Kaarten ausgëtt, mat optionalem img2img an Inpainting

Erstellt tilebar Texturen aus engem Prompt a virausgesot PBR-Kaarten: basecolor, normal, roughness, metalness an height. Benotzt `tiling_mode` fir béid, horizontal oder vertikal Tiling, an `upscale_factor` vun 0, 2 oder 4 fir d'Kaarten ze vergréisseren. Mat `image_url` gëtt image-to-image aktivéiert, mat `mask_url` Inpainting. Bis zu 4 Biller pro Ufro.

- Model id: `patina/material`
- Made by: Open model
- Category: Text to Image
- Output: image
- Price per run: from $0.08 / run (cheapest run $0.08 (80 API credits))
- Run: `POST https://api.doitong.com/v1/run/patina/material`
- Quote: `POST https://api.doitong.com/v1/quote/patina/material`
- Docs page: https://doitong.com/lb/developers/models/patina/material

## Pricing

Price: **from $0.08 / run** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.08 = 80 API credits (1 run × $0.08).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/patina/material` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Textbeschreiwung vum Material oder der Textur, déi erstallt soll ginn. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Pixelmoossname vun der resultéierender Textur. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Zuel vun den Denoising-Schrëtt fir d'Texturgeneratioun. |
| `seed` |  | integer \| null | no |  |  | Zoufällege Seed, deen d'Generatioun reproduzéierbar mécht. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Zuel vun den Texturbiller, déi erstallt solle ginn. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Aktivéiert d'LLM-baséiert Prompt-Erweiderung fir Detailer bäizefügen. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Aktivéiert d'Sécherheetskontroll vun de generéierte Biller. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Richtung vum Tiling: 'both' fir omnidirektionalt Tiling, 'horizontal' oder 'vertical'. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Tile-Gréisst am latente Raum, wou 64 512px an 128 1024px duerstellt. Op all getilte Achs setzt d'Dimensioun vum generéierte Bild eng automatesch iewescht Limitt. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Setzt de Schrëtt tëscht den Tiles am latente Raum; eng automatesch Limitt verhënnert, datt en d'Hallschent vun der effektiver Tile-Gréisst iwwerschreit. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Quellbild-URL, fir Inpainting benotzt, wann mask_url dobäi ass, an soss fir Image-to-Image-Beaarbechtung. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | Inpainting-Masken-URL zesumme mam erfuerderlechen image_url. D'Mask léisst schwaarz Beräicher onverännert a generéiert wäiss Beräicher nei. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Transformatiounsstäerkt, déi nëmmen op e Bild iwwer image_url applizéiert gëtt; soss gëtt se net benotzt. |
| `maps` |  | array of enum (string) | no | `["basecolor","normal","roughness","metalness","height"]` |  | PBR-Maps, déi fir d'Prognos ausgewielt goufen, mat all fënnef standardméisseg ausgewielt. Wann näischt ausgewielt gëtt, gëtt d'PBR-Schätzung komplett iwwersprongen. |
| `upscale_factor` |  | enum (integer) | no | `0` | `0`, `2`, `4` | SeedVR-Faktor fir nahtlos Vergréisserung, deen déi prognostizéiert PBR-Maps beaflosst, d'Basistextur awer an hirer ursprénglecher Opléisung léisst. Wielt 2 fir duebel Opléisung, 4 fir véierfach Opléisung oder 0, fir d'Vergréisserung ze deaktivéieren. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Bilddateiformat fir Output-Texturen a PBR-Maps. |

File parameters (`image`, `mask`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/patina/material?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/patina/material?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/patina/material", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "patina/material",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "patina/material",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 80,
    "usd": "0.08",
    "charged": 80,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ],
    "seed": 42,
    "prompt": "string",
    "timings": {}
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of any | Output-Biller enthalen PBR-Material-Maps, déi vu PATINA prognostizéiert goufen, nieft tilbaren Texturen, déi mat z-image generéiert goufen. |
| `seed` | integer | Seed, dee bei der Texturgeneratioun applizéiert gëtt. |
| `prompt` | string | Prompt fir d'Texturgeneratioun, inklusiv all applizéiert Erweiderung. |
| `timings` | object | Timing-Opschlësselung fir de ganze Prozess, a Sekonnen. |

## Related models

- [PATINA](https://doitong.com/developers/models/patina.md) (`patina`): from $0.0225 / run of input image
- [PATINA · Material · Extract](https://doitong.com/developers/models/patina/material/extract.md) (`patina/material/extract`): from $0.17 / run
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/patina/material
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=patina/material
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/patina/material