# Cosmos 3 Super Image to Video API

> Animē pirmā kadra attēlu video, piedāvājot neobligātu uzvednes izvēršanu un aģentisku uzlabošanas ciklu

Izmanto `image_url` kā sākuma kadru un līdz 4096 rakstzīmju garu `prompt`. `num_frames` sasniedz 189, bet `frames_per_second` ir diapazonā no 4 līdz 60. Uzvednes izvēršana pēc noklusējuma ir ieslēgta, bet `enable_agentic_generation` palaiž iteratīvus kandidātus ar kritiku. Pieejami arī `negative_prompt`, `guidance_scale` un `num_inference_steps` līdz 50.

- Model id: `nvidia/cosmos-3-super/image-to-video`
- Made by: NVIDIA
- Category: Image to Video
- Output: video
- Price per second of your output video: from $0.05 / second of output video (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.ru/v1/run/nvidia/cosmos-3-super/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/nvidia/cosmos-3-super/image-to-video`
- Docs page: https://doitong.com/lv/developers/models/nvidia/cosmos-3-super/image-to-video

## Pricing

Price: **from $0.05 / second of output video** (the lowest tier; the quote prices your exact input). Price per second of your output video: 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 $0.40 = 400 API credits (8 s output video × $0.05).

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/image-to-video` 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 | Video ģenerēšanas norādes tekstā: norādiet, kas atrodas ainā un kādai kustībai tajā jābūt. |
| `image_url` | `image` | string (image URL) | yes |  |  | Attēla URL, ko izmanto video pirmā kadra vadīšanai. |
| `negative_prompt` |  | string | no | `The video captures a series of frames showing macroblocking artifacts, chromatic aberration, high-frequency noise, and rolling shutter distortion. It includes static with no motion, motion blur, over-saturation, shaky footage, low resolution, grainy texture, pixelated images, poorly lit areas, underexposed and overexposed scenes, poor color balance, washed out colors, choppy sequences, jerky movements, low frame rate, bit-depth compression artifacts, color banding, unnatural transitions, outdated special effects, fake elements, unconvincing visuals, poorly edited content, jump cuts, hard cut, visual noise, and flickering. It features moiré patterns, edge halos, and temporal aliasing. Furthermore, the content defies common sense, generating illogical scenarios, nonsensical entities, absurd character behaviors, and conceptual paradoxes that violate basic human reasoning and everyday reality. The video looks like a surreal or glitchy hallucination. Overall, the video is of poor quality.` | ≤ 2048 characters | Negatīvā uzvedne nevēlama satura, piemēram, nevēlamas kustības vai artefaktu, novēršanai. Ja tā nav norādīta, tiek izmantota NVIDIA ieteiktā negatīvā uzvedne i2v; tukša virkne atspējo negatīvo vadību. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Uzvednes paplašināšana, kas, ja ir true, izmanto Cosmos3-Nano Reasoner, lai izveidotu blīvā apraksta formātu, ko izmanto Cosmos3 apmācībai; šis VLM pārbauda pirmo kadru. COSMOS_PROMPT_UPSAMPLER_BASE_URL atlasa konfigurētu Reasoner pakalpojumu; pretējā gadījumā lietotne to palaiž lokāli. Ja paplašināšana neizdodas, tiek izmantota nemodificētā uzvedne. |
| `enable_agentic_generation` |  | boolean | no | `false` |  | Iteratīva Cosmos aģentiskā ģenerēšana, kas ir būtiski lēnāka un dārgāka nekā vienreizēja ģenerēšana, jo katram kandidātam nepieciešama pilna renderēšana. Cikls palielina uzvedni, ģenerē video kandidātus, izmanto VLM atlasīto kadru kritikai un pārraksta uzvedni. |
| `agentic_max_iterations` |  | integer | no | `2` | 1 – 3 | Maksimālais uzvednes posmu skaits, ja ir iespējota aģentiskā ģenerēšana. |
| `agentic_samples_per_iteration` |  | integer | no | `2` | 1 – 3 | Video kandidātu skaits vienā aģentiskā cikla iterācijā; tas nosaka, cik video sacenšas novērtēšanā, pirms labākais tiek izmantots uzvednes pārrakstīšanai. |
| `agentic_early_stop` |  | boolean | no | `true` |  | Agrīnas apturēšanas vadība, kas uzskata, ka kritiķa vērtējums virs stingrā kvalitātes sliekšņa ir pietiekams aģentiskā cikla beigšanai. |
| `image_size` |  | object {width, height} \| enum (string) | no | `{"height":480,"width":832}` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Pirms automātiskas pielāgošanas pieprasītie video izmēri. Lai iegūtu atbalstītu izmēru, sistēma ierobežo pieprasījumu un izvēlas tuvāko NVIDIA līmeni — 256p, 480p vai 720p — un atbalstīto malu attiecību. |
| `num_frames` |  | integer | no | `189` | 5 – 189 | Ģenerēšanas kadru skaits; palielinot to, tiek iegūts garāks video. |
| `frames_per_second` |  | integer | no | `24` | 4 – 60 | Izvades video kadru nomaiņas ātrums kadros sekundē. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | Trokšņa noņemšanas soļu skaits; lielāks skaits nodrošina labāku kvalitāti, bet paildzina apstrādi. |
| `guidance_scale` |  | number | no | `6` | 0 – 20 | Klasifikatoru neizmantojošās vadības stiprums. |
| `seed` |  | integer \| null | no |  |  | Atkārtojamību kontrolējoša sēkla: identiska uzvedne un sēkla rada identisku video, ja modeļa versija nav mainīta. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Piegādātā attēla un uzvednes moderēšanas vadība; atspējošana atļauta tikai autorizētiem kontiem. Pieprasījumi bez autorizācijas tiek pārbaudīti neatkarīgi no iestatījuma. |

File parameters (`image`) 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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/image-to-video?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/image-to-video?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# 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/image-to-video", 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/image-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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/image-to-video",
  "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": 400,
    "usd": "0.40",
    "charged": 400,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames} | Modeļa izveidotais video. |
| `seed` | integer | Ģenerēšanas laikā lietotā sēklas vērtība. |

## Related models

- [Cosmos 3 Super](https://doitong.com/developers/models/nvidia/cosmos-3-super/text-to-image.md) (`nvidia/cosmos-3-super/text-to-image`): from $0.04 / run of output image
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second
- [Seedance 2.0 Fast Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/image-to-video.md) (`bytedance/seedance-2.0/fast/image-to-video`): from $0.113 / second
- [Seedance 2.0 Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/image-to-video.md) (`bytedance/seedance-2.0/image-to-video`): from $0.141 / second

## Links

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