# Cosmos 3 Super API

> Teksto į vaizdą generavimas su užklausos išplėtimu ir pasirenkamu agentiniu kandidatų palyginimo režimu

Kuria nuo 1 iki 4 vaizdų iš iki 4096 simbolių `prompt`. `image_size` kraštinės apribojamos iki 512–1280 px. `enable_agentic_generation` generuoja kelis kandidatus ir tarp etapų tobulina užklausą, atlikdamas iki 3 iteracijų. Taip pat palaikomi `negative_prompt`, `guidance_scale` iki 20, `num_inference_steps` iki 50 ir jpeg arba png išvestis.

- Model id: `nvidia/cosmos-3-super/text-to-image`
- Made by: NVIDIA
- Category: Text to Image
- Output: image
- Price per run: from $0.04 / run of output image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/nvidia/cosmos-3-super/text-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/nvidia/cosmos-3-super/text-to-image`
- Docs page: https://doitong.com/lt/developers/models/nvidia/cosmos-3-super/text-to-image

## Pricing

Price: **from $0.04 / run of output image** (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 $0.04 = 40 API credits (1 run × $0.04).

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/nvidia/cosmos-3-super/text-to-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 – 4096 characters | Norimo išvesties vaizdo tekstinis aprašas. |
| `negative_prompt` |  | string | no | `` | ≤ 1024 characters | Neigiamas valdymas, nurodantis nepageidaujamas spalvas, objektus ar artefaktus, kurių generuojant reikia vengti. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Raginio patobulinimas prieš generavimą naudojant OpenRouter; įjungus sukuriama tanki struktūrizuota JSON pateiktis, naudojama Cosmos3 mokyti. Jei patobulinimas nepavyksta, vaizdas generuojamas naudojant nepakeistą raginį. |
| `enable_agentic_generation` |  | boolean | no | `false` |  | Automatinis raginio tikslinimo ciklas, skirtas tiksliau laikytis pradinės užklausos. Kiekvienu etapu sugeneruojami keli vaizdo kandidatai ir jie palyginami, o tarp etapų raginys pataisomas. |
| `agentic_max_iterations` |  | integer | no | `2` | 1 – 3 | Generavimo tikslinimo etapų riba, kai įjungtas agentinis režimas. |
| `agentic_samples_per_iteration` |  | integer | no | `2` | 1 – 3 | Vaizdo kandidatų skaičius per agentinio ciklo iteraciją, nurodantis, kiek vaizdų varžosi vertinime prieš geriausiajam pereinant prie raginio perrašymo. |
| `agentic_early_stop` |  | boolean | no | `true` |  | Ankstyvo sustabdymo valdiklis, laikantis stiprų vaizdo ir raginio atitikimą pakankama sąlyga baigti be tolesnių iteracijų. |
| `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` | Nustatykite išvesties vaizdo matmenis; apribojimas išlaiko kiekvieną kraštinę nuo 512 iki 1280px, o kraštinių ilgiai turi būti 16 kartotiniai. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | Triukšmo šalinimo žingsnių skaičius; didėjant skaičiui ilgesnis apdorojimas keičiamas į geresnę kokybę. |
| `guidance_scale` |  | number | no | `4` | 0 – 20 | Klasifikatoriaus nenaudojančių gairių stiprumas. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Generavimui prašomas vaizdų skaičius. |
| `seed` |  | integer \| null | no |  |  | Pakartojamam vaizdo generavimui skirta sėkla. Išvesties vaizdas per paleidimus nesikeičia, nebent pasikeičia sėkla, raginys arba modelio versija. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Turinio moderavimo jungiklis, apimantis ir raginio įvestį, ir vaizdo išvestį. Paskyros turi būti įgaliotos apeiti moderavimą; kitu atveju tikrinimas išlieka privalomas nepaisant šio nustatymo. Nesaugus vaizdas pakeičiamas juodu vaizdu. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Galutinio vaizdo failo formatas. |

## 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/nvidia/cosmos-3-super/text-to-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/nvidia/cosmos-3-super/text-to-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/nvidia/cosmos-3-super/text-to-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": "nvidia/cosmos-3-super/text-to-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": "nvidia/cosmos-3-super/text-to-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": 40,
    "usd": "0.04",
    "charged": 40,
    "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
    ]
  },
  "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} | Modelio sukurti vaizdai. |
| `seed` | integer | Generuojant taikoma pradinė reikšmė. |
| `has_nsfw_concepts` | array of boolean | Kiekvieno sugeneruoto vaizdo saugos tikrintuvo būsenos žyma. |

## Related models

- [Cosmos 3 Super Image to Video](https://doitong.com/developers/models/nvidia/cosmos-3-super/image-to-video.md) (`nvidia/cosmos-3-super/image-to-video`): from $0.05 / second of output video
- [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

## Links

- HTML page: https://doitong.com/developers/models/nvidia/cosmos-3-super/text-to-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=nvidia/cosmos-3-super/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/nvidia/cosmos-3-super/text-to-image