# Sensenova U1 Infographic API

> Tekst-til-bilde optimalisert for infografikk, med ni størrelsesforhold og valgfri resonnering før generering

Produserer infografikklignende bilder fra detaljerte prompter som beskriver layout, seksjoner, fargepalett, typografi og data. Størrelsesforholdet er ett av ni forvalg, med standard på 16:9. Samplingskontroller omfatter `num_inference_steps` (10 til 100), `guidance_scale` (1 til 10) og `timestep_shift`. `use_thinking` kjører først et resonneringspass og returnerer sporet.

- Model id: `sensenova-u1-infographic`
- Made by: SenseTime
- Category: Text to Image
- Output: image
- Price: from $0.05 / image (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.com/v1/run/sensenova-u1-infographic`
- Quote: `POST https://api.doitong.com/v1/quote/sensenova-u1-infographic`
- Docs page: https://doitong.com/no/developers/models/sensenova-u1-infographic

## Pricing

Price: **from $0.05 / image** (the lowest tier; the quote prices your exact input). Billed per generated image.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `use_thinking` = true: $0.06 (60 API credits) / image

The full example input below costs $0.05 = 50 API credits (1 image × 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.com/v1/quote/sensenova-u1-infographic` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Beskrivelse av infografikken du vil generere; for best resultat bør du inkludere spesifikk typografi, data som skal visualiseres, seksjonsinndeling, layout og fargepalett. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `1:1`, `16:9`, `9:16`, `3:2`, `2:3`, `4:3`, `3:4`, `1:2`, `2:1` | Bildeproporsjoner, med standardverdi 16:9 for kompatibilitet med de fleste infografikkdesign beregnet på plakater eller presentasjoner. Bare forhold som tilsvarer oppløsningsbøtter brukt under trening, støttes. |
| `num_inference_steps` |  | integer | no | `50` | 10 – 100 | Antall steg for flow-matching-denoising. |
| `guidance_scale` |  | number | no | `4` | 1 – 10 | Skala for classifier-free guidance; en økning gjør at utdataene følger prompten tettere. |
| `timestep_shift` |  | number | no | `3` | 1 – 8 | Preferansen for tidligere tidspunkter i flow-matching-sampling forsterkes ved å øke denne tidsforskyvningsfaktoren. |
| `use_thinking` |  | boolean | no | `false` |  | Styrer om chain-of-thought kjøres før bildet genereres; aktivert når True. |
| `seed` |  | integer \| null | no |  |  | Seed for reproduserbare bilder: en identisk prompt og seed gir et identisk bilde når modellversjonen er uendret. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Aktivering av sikkerhetskontroll; true aktiverer kontroll. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Filformat for det resulterende bildet. |

## 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.com/v1/run/sensenova-u1-infographic?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.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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/sensenova-u1-infographic?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.com/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/sensenova-u1-infographic", 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.com/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": "sensenova-u1-infographic",
      "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": "sensenova-u1-infographic",
  "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",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string",
    "thinking": "string",
    "timings": {}
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, width, height, content_type} | Bilde eller bilder produsert ved generering. |
| `seed` | integer | Seed-verdi brukt under genereringen. |
| `has_nsfw_concepts` | array of boolean | Angir om NSFW-konsepter forekommer i de genererte bildene. |
| `prompt` | string | Prompt som brukes til å styre genereringen. |
| `thinking` | string \| null | Resonneringsspor fra chain-of-thought-generering, tilgjengelig med `use_thinking` satt til True; en deaktivert innstilling gir `null` i stedet. |
| `timings` | object | Tid brukt på hvert trinn, målt i sekunder. |

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## Links

- HTML page: https://doitong.com/developers/models/sensenova-u1-infographic
- 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=sensenova-u1-infographic
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/sensenova-u1-infographic