# Cosmos 3 Super API

> Ġenerazzjoni minn test għal immaġni b’espansjoni tal-prompt u mod fakultattiv ta’ tqabbil agentiku tal-kandidati

Joħloq minn 1 sa 4 immaġnijiet minn `prompt` sa 4096 karattru. It-truf ta’ `image_size` huma limitati għal 512-1280 px. `enable_agentic_generation` jipproduċi diversi kandidati u jirfina l-prompt bejn ir-rawnds, sa 3 iterazzjonijiet. Għandu wkoll `negative_prompt`, `guidance_scale` sa 20, `num_inference_steps` sa 50, u output jpeg jew png.

- 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/mt/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 | Deskrizzjoni testwali tal-immaġni output mixtieqa. |
| `negative_prompt` |  | string | no | `` | ≤ 1024 characters | Gwida negattiva li tidentifika kuluri, oġġetti jew artefatti mhux mixtieqa li l-ġenerazzjoni għandha tevita. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Titjib tal-prompt qabel il-ġenerazzjoni permezz ta’ OpenRouter, li jipproduċi r-rappreżentazzjoni densa f’JSON strutturat użata għat-taħriġ ta’ Cosmos3 meta tkun attivata. Jekk it-titjib ifalli, il-ġenerazzjoni tal-immaġni tkompli bil-prompt mhux modifikat. |
| `enable_agentic_generation` |  | boolean | no | `false` |  | Ċiklu awtomatiku ta’ rfinar tal-prompt immirat għal aderenza aktar mill-qrib mat-talba oriġinali. Kull rawnd jiġġenera diversi kandidati tal-immaġni u jqabbilhom, b’reviżjonijiet tal-prompt bejn ir-rawnds. |
| `agentic_max_iterations` |  | integer | no | `2` | 1 – 3 | Limitu tar-rawnds ta’ rfinar għall-ġenerazzjoni bil-modalità aġentika attivata. |
| `agentic_samples_per_iteration` |  | integer | no | `2` | 1 – 3 | Għadd ta’ kandidati tal-immaġni għal kull iterazzjoni taċ-ċiklu aġentiku, li jiddetermina kemm-il immaġni jikkompetu fl-evalwazzjoni qabel ma l-aħjar tgħaddi għall-kitba mill-ġdid tal-prompt. |
| `agentic_early_stop` |  | boolean | no | `true` |  | Kontroll tal-waqfien bikri li jqis tqabbil qawwi bejn l-immaġni u l-prompt bħala biżżejjed biex jintemm mingħajr iterazzjonijiet oħra. |
| `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` | Issettja d-dimensjonijiet tal-immaġni output; il-limitazzjoni żżomm kull tarf bejn 512 u 1280px, bit-tulijiet tat-truf ristretti għal multipli ta’ 16. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | Għadd tal-passi tat-tneħħija tal-istorbju, fejn proċessar itwal jipprovdi kwalità aħjar hekk kif jiżdied l-għadd. |
| `guidance_scale` |  | number | no | `4` | 0 – 20 | Saħħa tal-gwida mingħajr klassifikatur. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Għadd ta’ immaġnijiet mitlub għall-ġenerazzjoni. |
| `seed` |  | integer \| null | no |  |  | Żerriegħa għal ġenerazzjoni ripetibbli tal-immaġni. L-immaġni output tibqa’ l-istess bejn runs sakemm jinbidlu ż-żerriegħa, il-prompt jew il-verżjoni tal-mudell. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Swiċċ tal-moderazzjoni tal-kontenut li jkopri kemm l-input tal-prompt kif ukoll l-output tal-immaġni. Il-kontijiet iridu jkunu awtorizzati biex jaqbżu l-moderazzjoni; inkella l-kontrolli jibqgħu obbligatorji irrispettivament minn dan l-issettjar. Kull immaġni meqjusa mhux sigura tiġi sostitwita b’immaġni sewda. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format tal-fajl għall-immaġni li tirriżulta. |

## 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} | Immaġnijiet prodotti mill-mudell. |
| `seed` | integer | Valur ta’ seed applikat waqt il-ġenerazzjoni. |
| `has_nsfw_concepts` | array of boolean | Status tal-bandiera tal-verifikatur tas-sikurezza għal kull immaġni ġġenerata. |

## 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