# PATINA · Material API

> ᡤᡳᠰᡠᠨ ᡩᡝᡵᡳ ᡤᡝᠯᡳᠮᡝ ᠪᠠᠨᠵᡳᡥᠠ ᠵᡠᠯᡤᠠᠨ ᠠᠮᡝ PBR ᠮᠠᠨᡤᡳᠯᠠᠨ ᠪᡝ ᡤᠠᠷᡤᠠᠮᠪᡳ; img2img ᠠᠮᡝ inpainting ᡩᡝ ᠪᡳ

ᡤᡳᠰᡠᠨ ᡩᡝᡵᡳ ᠪᠠᠨᠵᡳᡥᠠ ᠵᡠᠯᡤᠠᠨ ᠠᠮᡝ PBR ᠮᠠᠨᡤᡳᠯᠠᠨ: basecolor, normal, roughness, metalness ᠠᠮᡝ height. `tiling_mode` ᡩᡝᡵᡳ ᡝᠮᡠ, ᡳᠯᡥᠠᠨ ᠠᠮᡝ ᡩᡝᠯᡤᡳ ᠮᡝᠯᡳᠶᡝᠨ ᠪᠠᠨᠵᡳᠮᠪᡳ, ᠠᠮᡝ `upscale_factor` 0, 2 ᠠᠮᡝ 4 ᡩᡝᡵᡳ ᠮᠠᠨᡤᡳᠯᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ. `image_url` ᠵᡠᠯᡤᠠᠨ ᡳ ᡩᡝᡵᡳ ᠵᠠᠯᡠᠪᡠᠮᠪᡳ, ᠠᠮᡝ `mask_url` ᡩᡝᡵᡳ inpainting ᠵᠠᠯᡠᠪᡠᠮᠪᡳ. ᡝᠮᡠ ᡤᠤᡵᡤᠠᠨ ᡩᡝ 4 ᠵᡠᠯᡤᠠᠨ ᡩᡝᡵᡳ.

- 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.ru/v1/run/patina/material`
- Quote: `POST https://api.doitong.ru/v1/quote/patina/material`
- Docs page: https://doitong.com/mnc/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.ru/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 |  |  | ᠪᡠᠶᠠᠮᡝ ᡩᡝ ᠮᡠᠨᡩᡠᡵᡝ ᠵᡠᠰᡠ ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᡠᠮᡝ᠉ |
| `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` | ᠵᡠᠯᡝ ᠵᠠᠰᡳᠮᡝ ᡳ ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ᠉ |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | ᠵᡠᠯᡝ ᠵᠠᠰᡳᠮᡝ ᡳ ᠠᠯᡤᡳᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ᠉ |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠯᡝᠮᡝ ᠠᠩᡤᠠᠨᡳ ᠰᡝᠨᡩᡝᠨᡳ ᠵᠠᠯᡳᠨ᠉ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | ᠪᡠᠶᠠᠮᡝ ᡳ ᡤᠠᠳᠠᠨ ᡳ ᠠᠯᡤᡳᠨ᠉ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | LLM ᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ ᡥᡡᠯᠠᠨ ᡩᡝ ᠮᡠᠨᡩᡠᡵᡝ ᠪᡝ ᠨᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ᠉ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠪᡠᠶᠠᠮᡝ ᡳ ᡤᠠᳳᠠᠨ ᡳ ᠠᠮᠠᠯᠠ ᠵᠠᠰᡳᠮᡝ ᠪᡝ ᠪᡠᠮᡝ᠉ |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | ᠵᠠᠯᠠᠨ ᡳ ᠵᡠᠰᡠ: 'both' ᠪᡝ ᠮᡠᠶᠠᠮᡝ ᠵᠠᠯᠠᠨ, 'horizontal' ᠪᡝ 'vertical' ᠪᡝ ᠰᡳᠯᡝᠮᡝ᠉ |
| `tile_size` |  | integer | no | `128` | 32 – 256 | ᠵᠠᠯᠠᠨ ᡳ ᠯᠠᠪᡩᡠ ᠵᠠᠯᠠᠨ; 64 ᠪᡝ 512px, 128 ᠪᡝ 1024px ᠣᠮᠪᡳ᠉ ᠵᠠᠯᠠᠨ ᡳ ᠮᡠᠰᡝ ᠠᠮᠠᠯᠠᠨ ᡩᡝ ᠪᡠᠶᠠᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠮᡝᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠠᠮᡝᠯᡝᠩᡤᡝ᠉ |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | ᠯᠠᠪᡩᡠ ᠵᠠᠯᠠᠨ ᡳ ᠵᡠᠰᡠ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᡠᠮᡝ; ᠠᠮᡝᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᡳᠨᡠ ᠵᡠᠯᡝ ᡳ ᠮᡠᠰᡝ ᠠᠮᡝᠯᡝᠩᡤᡝ᠉ |
| `image_url` | `image` | string (image URL) \| null | no |  |  | ᠵᡠᠯᡝ ᡤᠠᳳᠠᠨ ᡳ URL; mask_url ᠪᡝ ᠪᡠᠮᡝ ᠪᡠᠶᠠᠮᡝ ᡩᡝ ᠪᡠᠮᡝ, ᠠᡴᡡ ᠪᡝ ᡤᠠᳳᠠᠨ ᡩᡝ ᠵᠠᠰᡳᠮᡝ᠉ |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | ᠵᠠᠯᠠᠨ ᡳ mask URL, ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ image_url ᠵᡠᠯᡝ᠉ ᠰᠠᡵᡤᠠᠨ ᡳ ᠯᠠᠪᡩᡠ ᠪᡝ ᠮᡠᠰᡝ ᠪᡠᠮᡝ, ᠰᠠᡵᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠰᡳᠮᡝ᠉ |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | image_url ᡩᡝ ᠪᡠᠮᡝ ᡤᠠᳳᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ; ᠠᡴᡡ ᡩᡝ ᠠᡴᡡ ᠪᡠᠮᡝ᠉ |
| `maps` |  | array of enum (string) | no | `["basecolor","normal","roughness","metalness","height"]` |  | ᠵᠠᠰᡳᠮᡝ ᡩᡝ ᠰᡳᠯᡝᠮᡝ ᠪᡠᠮᡝ ᠵᡠᠯᡝ ᠮᡠᠨᡩᡠᡵᡝ ᠪᡝ; ᠮᡠᠰᡝ ᠠᡴᡡ ᠰᡳᠯᡝᠮᡝ ᠪᡠᠮᡝ ᡩᡝ PBR ᠮᡠᠨᡩᡠᡵᡝ ᠠᡴᡡ᠉ |
| `upscale_factor` |  | enum (integer) | no | `0` | `0`, `2`, `4` | SeedVR ᡳ ᠪᡠᠶᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᡝᠯᡝᠮᡝ ᠪᡝ ᠵᠠᠰᡳᡴᠠᠩᡤᡝ PBR ᠮᡠᠨᡩᡠᡵᡝ ᠪᡝ ᠰᡠᠨᡩᠠᠮᡝ, ᠯᠠᠪᡩᡠ ᡤᠠᳳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠮᡠᠰᡝ ᠠᠮᡝᠯᡝᠮᡝ᠉ 2 ᠪᡝ ᠵᠠᠯᠠᠨ ᡳ ᠵᡠᠯᡝ ᠣᠮᠪᡳ, 4 ᠪᡝ ᠵᠠᠯᠠᠨ ᡳ ᠵᡠᠯᡝ ᠣᠮᠪᡳ, 0 ᠪᡝ ᠠᠮᡝᠯᡝᠮᡝ ᠠᡴᡡ᠉ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | ᠪᡠᠶ᠝ᠮᡝ ᡳ ᡤᠠᳳᠠᠨ ᠵᡠᠯᡝ ᠵᡠᠰᡠ᠉ |

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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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.ru/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.ru/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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of any | ᠪᡠᠶ᠝ᠮᡝ ᡳ ᡤᠠᳳᠠᠨ ᡩᡝ PATINA ᡳ PBR ᠮᡠᠨᡩᡠᡵᡝ ᠵᡠᠯᡝ z-image ᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠶᠠᠮᡝ ᡩᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ᠉ |
| `seed` | integer | ᠵᠠᠰᡳᠮᡝ ᡩᡝ ᡤᠠᳳᠠᠨ ᠪᡝ ᠪᡠᠶᠠᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ᠉ |
| `prompt` | string | ᠤᠷᠠᠮᡝ ᡳ ᠵᠠᠰᡳᠮᡝ ᠵᡠᠯᡝ ᡥᡡᠯᠠᠨ, ᠨᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ᠉ |
| `timings` | object | ᠮᡠᠰᡝ ᠵᠠᠰᡳᠮᡝ ᡳ ᠴᡳᠯᡤᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ, ᡝᡵᡝᠮᡝ ᠰᡝᡴᡠᠨᡩ᠉ |

## 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.ru/v1/models/patina/material