# Cosmos 3 Super Image to Video API

> אַנימירט אַ בילד פֿון ערשטן ראַם אין אַ ווידעא, מיט אָפּציאָנעלער פּראָמפּט־אויסברייטערונג און אַן אַגענטישער פֿאַרבעסערונג־לופֿ

נוצט אַן `image_url` ווי דער עפֿענונגס־ראַם און אַ `prompt` מיט ביז 4096 אותיות. `num_frames` גייט ביז 189 און `frames_per_second` פֿון 4 ביז 60. די פּראָמפּט־אויסברייטערונג איז אַקטיוו לויטן באַשטעטיקן, און `enable_agentic_generation` לויפֿט איבער קאַנדידאַטן מיט קריטיק. אָפפערט אויך `negative_prompt`, `guidance_scale` און `num_inference_steps` ביז 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/yi/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 | ווידעא־גענערירונג־אנווײַזונגען אין טעקסט: ספּעציפֿיצירן וואָס די סצענע אַנטהאַלט און וועלכע באַוועגונג זי זאָל ווײַזן. |
| `image_url` | `image` | string (image URL) | yes |  |  | בילד־URL גענוצט צו באַדינגען דעם ערשטן ראַם פֿונעם ווידעא. |
| `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 | נעגאַטיווער פּראָמפּט צו פֿאַרמײַדן אינהאַלט ווי אומגעוווּנטשענע באַוועגונג אָדער אַרטעפֿאַקטן. דאָס איבערלאָזן ניצט NVIDIA'ס רעקאָמענדירטן נעגאַטיוון פּראָמפּט פֿאַר i2v, בשעת אַן ליידיקער סטרינג דעאַקטיווירט נעגאַטיווע גיידאַנס. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | פּראָמפּט־פֿאַרברייטערונג וואָס, ווען true, ניצט Cosmos3-Nano Reasoner צו שאַפֿן דעם dense-caption פֿאָרמאַט גענוצט צו טרענירן Cosmos3; דער VLM אונטערזוכט דעם ערשטן ראַם. COSMOS_PROMPT_UPSAMPLER_BASE_URL אויסקלייבט אַ קאַנפֿיגורירטן Reasoner־דינסט; אַנדערש הייבט די אַפּ איינעם אָרטיק אָן. בײַ דורכפֿאַל בלײַבט דער אומגעענדערטער פּראָמפּט אין באַניץ. |
| `enable_agentic_generation` |  | boolean | no | `false` |  | איטעראַטיווע Cosmos agentic גענערירונג, באַדײַטנדיק פּאַמעלעכער און טייערער ווי איין־מאָל גענערירונג, ווײַל יעדער קאַנדידאַט דאַרף אַ גאַנצן רענדער. דער לופּ פֿאַרברייטערט דעם פּראָמפּט, גענערירט ווידעא־קאַנדידאַטן, ניצט אַ VLM צו קריטיקירן אויסגעקליבענע ראַמען און שרײַבט איבער דעם פּראָמפּט. |
| `agentic_max_iterations` |  | integer | no | `2` | 1 – 3 | אויבערשטער גרענעץ פֿאַר פּראָמפּט־סטאַדיעס מיט agentic גענערירונג אַקטיווירט. |
| `agentic_samples_per_iteration` |  | integer | no | `2` | 1 – 3 | ווידעא־קאַנדידאַטן פּער איטעראַציע פֿאַרן agentic לופּ; באַשטימט וויפֿל ווידעאָס קאָנקורירן אין דער אפֿשאַצונג איידער דער בעסטער גייט ווייטער צו איבערשרײַבן דעם פּראָמפּט. |
| `agentic_early_stop` |  | boolean | no | `true` |  | פֿרי־אָפּשטעל־קאָנטראָל וואָס האַלט אַ קריטיקער־סקאָר העכער דעם שטרענגן קוואַליטעט־שוועל פֿאַר גענוג צו ענדיקן דעם agentic לופּ. |
| `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` | ווידעא־דימענסיעס געבעטן פֿאַרן אויטאָמאַטישן צופּאַסן. צו באַקומען אַ געשטיצטן גרייס צאַמפּרעסט די סיסטעם די בקשה און אויסקלייבט דעם נענסטן NVIDIA־טיר: 256p, 480p אָדער 720p, און אַ געשטיצטן אַספּעקט־פֿאַרהעלטעניש. |
| `num_frames` |  | integer | no | `189` | 5 – 189 | ראַם־צאָל פֿאַר גענערירונג; דאָס פֿאַרגרעסערן שאַפֿט אַ לענגערן ווידעא. |
| `frames_per_second` |  | integer | no | `24` | 4 – 60 | רעזולטאַט־ווידעא־ראַם־קורס, געמאסטן אין ראַם פּער סעקונדע. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | דענאָיזינג־סטעפּ־צאָל, וואָס וועקסלט לענגערע פּראַסעסירונג קעגן בעסערע קוואַליטעט ווען די צאָל וואַקסט. |
| `guidance_scale` |  | number | no | `6` | 0 – 20 | שטאַרקייט פֿון classifier-free guidance. |
| `seed` |  | integer \| null | no |  |  | סיד וואָס קאָנטראָלירט איבערחזרבאַרקייט: אַן אידענטישער פּראָמפּט און סיד שאַפֿן אַן אידענטישן ווידעא ווען די מאָדעל־ווערסיע איז אומגעענדערט. |
| `enable_safety_checker` |  | boolean | no | `true` |  | מאָדעראַציע־קאָנטראָל פֿאַר דעם צוגעשטעלטן בילד און פּראָמפּט, מיט דעאַקטיווירונג ערלויבט נאָר פֿאַר אָטעריזירטע אַקאַונץ. בקשות אָן אָטעריזאַציע ווערן אָפּגעקוקט אומאָפּהענגיק פֿון דער באַשטעטיקונג. |

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} | ווידעא געשאַפֿן דורכן מאָדעל. |
| `seed` | integer | סיד־ווערט וואָס ווערט געווענדט בעת גענערירונג. |

## 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