# MOSS Image API

> טעקסט־צו־בילד מאָדעל פֿאַר כינעזישע און ענגלישע טעקסטן אין בילדער, מיט אויסלייג־באַוווסטע פּראָמפּטן און אָפּציאָנעלער אויסברייטערונג

שאַפֿט בילדער פֿון אַ `prompt` מיט ביז 16384 אותיות, געשריבן ווי נאַטירלעכע שפּראַך, טאַג־סעקווענצן אָדער JSON־אויסלייגן, וואָס העלפֿט פּינקטלעך פּלאַנירן טעקסט און אָביעקטן. די פּראָמפּט־אויסברייטערונג פּלאַנירט קודם אַ סטרוקטורירטן אויסלייג און איז אַקטיוו לויטן באַשטעטיקן. גרייסן קומען פֿון זעקס פּריסעטס (קוואַדראַט, פּאָרטרעט און לאַנדשאַפֿט), אַרומגערינגלט צו קייפלען פֿון 16 צווישן 512 און 2048 פּיקסעלן. מע קען בעטן 1 ביז 4 בילדער מיט 1 ביז 100 טריט, שטעלן `guidance_scale` פֿון 0 ביז 10, נוצן אַ `negative_prompt` און `seed`, און אַרויסגעבן JPEG, PNG אָדער WebP.

- Model id: `moss-image`
- Made by: Open model
- Category: Text to Image
- Output: image
- Price: $0.05 / megapixel (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.ru/v1/run/moss-image`
- Quote: `POST https://api.doitong.ru/v1/quote/moss-image`
- Docs page: https://doitong.com/yi/developers/models/moss-image

## Pricing

Price: **$0.05 / megapixel**. Billed per megapixel of output (width × height of every image). Each image is rounded up to a whole megapixel.

The full example input below costs $0.05 = 50 API credits (1 MP × 50 API credits).

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/moss-image` 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 |  | 1 – 16384 characters | פּראָמפּט פֿאַר בילד־גענערירונג, וואָס נעמט אָן נאַטירלעכן שפּראַך, סעקווענצן פֿון טאַגס אָדער JSON־לייאַוטס. |
| `negative_prompt` |  | string | no | `` | ≤ 16384 characters | נעגאַטיווער פּראָמפּט גענוצט פֿאַר גיידאַנס, וווּ סקיפּן טראַנספֿאָרמער־שיכטן גיט די נעגאַטיווע צווייג ווען דער פּראָמפּט איז ליידיק. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | פּראָמפּט־פֿאַרבעסערונג וואָס האַלט אָפּ יעדן געבעטן קענטלעכן טעקסט, בעת זי פּלאַנירט אַ סטרוקטורירטן לייאַוט פֿאַר די אויסגעקליבענע בילד־דימענסיעס פֿאַר דער גענערירונג. דער אָריגינעלער פּראָמפּט בלײַבט אין נוצן אויב די פֿאַרבעסערונג איז נישט בנימצא. |
| `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` | רעזולטאַט־דימענסיעס באַגרענעצט צו 512–2048 פּיקסעלן סײַ פֿאַר ברייט סײַ פֿאַר הייך, מיט יעדן ראַונדיקירט צו אַ מערפֿאַך פֿון 16. |
| `num_inference_steps` |  | integer | no | `50` | 1 – 100 | צאָל דענויזינג־טריט וואָס זאָלן דורכגעפֿירט ווערן. |
| `guidance_scale` |  | number | no | `3` | 0 – 10 | שטאַרקייט פֿון classifier-free guidance. |
| `seed` |  | integer \| null | no |  |  | צופֿעליקער סיד וואָס מאכט די גענערירונג רעפּראָדוצירבאַר. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | צאָל בילדער צו שאַפֿן. |
| `enable_safety_checker` |  | boolean | no | `true` |  | מאָדעראַציע־קאָנטראָל פֿון דעם רעזולטאַט, וואָס נאָר אָטעריזירטע אַקאַונטן מעגן אויסשליסן; אַלע אַנדערע בקשות ווערן אָפּגעקוקט אומאָפּהענגיק פֿון דער באַשטעטיקונג. אַנשטאָט יעדן בילד וואָס ווערט אָפּגעצייכנט ווי אומזיכער ווערט צוריקגעגעבן אַ שוואַרץ בילד. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png`, `webp` | פֿאָרמאַט פֿאַר דעם רעזולטירנדיקן בילד. |

## 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/moss-image?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/moss-image?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/moss-image", 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": "moss-image",
      "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": "moss-image",
  "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": 50,
    "usd": "0.05",
    "charged": 50,
    "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,
    "has_nsfw_concepts": [
      false
    ],
    "actual_prompt": "string"
  },
  "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 object {url, content_type, file_name, file_size, width, height} | בילדער געשאַפֿן דורך גענערירונג. |
| `seed` | integer | סיד געווענדט בײַם גענערירן דאָס ערשטע בילד. |
| `has_nsfw_concepts` | array of boolean | אינדיקאַטאָר פֿון אומזיכערן אינהאַלט פֿאַר יעדן גענערירטן בילד. |
| `actual_prompt` | string \| null | פֿאַרבעסערטער פּראָמפּט געווענדט בעת דער גענערירונג אויב פּראָמפּט־יקספּאַנשאַן געלינגט. |

## Related models

- [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
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image
- [Nano Banana Pro](https://doitong.com/developers/models/nano-banana-pro.md) (`nano-banana-pro`): from $0.15 / image

## Links

- HTML page: https://doitong.com/developers/models/moss-image
- 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=moss-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/moss-image