# PATINA · Material API

> Tekstūru ģenerators, kas izvada flīzējamos attēlus un PBR kartes, ar neobligātu img2img un aizkrāsošanu

Izveido flīzējamas tekstūras no uzvednes un prognozē PBR kartes: basecolor, normal, roughness, metalness un height. Izmantojiet `tiling_mode` abos virzienos, horizontālai vai vertikālai flīzēšanai, un `upscale_factor` 0, 2 vai 4 karšu palielināšanai. Norādot `image_url`, tiek iespējota attēla–attēla pārveide, bet `mask_url` pievienošana iespējo aizkrāsošanu. Līdz 4 attēliem vienā pieprasījumā.

- 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/lv/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 |  |  | Izveidojamā materiāla vai tekstūras teksta apraksts. |
| `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` | Iegūtās tekstūras pikseļu izmēri. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Tekstūru ģenerēšanai izmantoto trokšņa noņemšanas soļu skaits. |
| `seed` |  | integer \| null | no |  |  | Nejauša sēkla, kas padara ģenerēšanu reproducējamu. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Izveidojamo tekstūras attēlu skaits. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Iespējo uz LLM balstītu uzvednes paplašināšanu, lai pievienotu detalizāciju. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Iespējo ģenerēto attēlu drošības pārbaudi. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Flīzēšanas virziens: 'both' daudzvirzienu flīzēšanai, 'horizontal' vai 'vertical'. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Latentās telpas flīzes izmērs, kur 64 atbilst 512px un 128 atbilst 1024px. Uz katras flīzētās ass ģenerētā attēla izmērs nosaka automātisko augšējo robežu. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Iestatiet soli starp latentās telpas flīzēm; automātiska robeža neļauj tam pārsniegt pusi no efektīvā flīzes izmēra. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Avota attēla URL, ko izmanto attēla aizkrāsošanai, ja tam pievienots mask_url, un citādi attēls-attēlā apstrādei. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | Aizkrāsošanas maskas URL, kas iesniegts kopā ar obligāto image_url. Maska saglabā melnos apgabalus nemainītus un no jauna ģenerē baltos apgabalus. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Pārveidošanas stiprums, kas piemērots tikai attēlam, kurš iesniegts, izmantojot image_url; citādi netiek izmantots. |
| `maps` |  | array of enum (string) | no | `["basecolor","normal","roughness","metalness","height"]` |  | Prognozēšanai atlasītās PBR kartes; pēc noklusējuma atlasītas visas piecas. Ja nekas nav atlasīts, PBR aplēse tiek pilnībā izlaista. |
| `upscale_factor` |  | enum (integer) | no | `0` | `0`, `2`, `4` | SeedVR bezšuvju palielināšanas koeficients, kas ietekmē prognozētās PBR kartes, bet atstāj pamata tekstūru sākotnējā izšķirtspējā. Izvēlieties 2 dubultai izšķirtspējai, 4 četrkāršai izšķirtspējai vai 0, lai palielināšanu atspējotu. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Izvades tekstūru un PBR karšu attēla faila formāts. |

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 | Izvades attēli ietver PATINA prognozētās PBR materiālu kartes līdzās z-image ģenerētām flīzējamām tekstūrām. |
| `seed` | integer | Tekstūru ģenerēšanas laikā izmantotā sākumvērtība. |
| `prompt` | string | Tekstūras ģenerēšanas uzvedne, tostarp jebkāda veiktā paplašināšana. |
| `timings` | object | Pilna procesa laika sadalījums sekundēs. |

## 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