# Sensenova U1 Infographic API

> Teksta-attēla modelis, kas pielāgots infografikām, ar deviņām malu attiecībām un neobligātu spriešanu pirms ģenerēšanas

Izveido infografiku stila attēlus no detalizētām norādēm, kas apraksta izkārtojumu, sadaļas, krāsu paleti, tipogrāfiju un datus. Malu attiecība ir viena no deviņām sākotnējām vērtībām, noklusējums ir 16:9. Paraugošanas vadīklas ietver `num_inference_steps` (10 līdz 100), `guidance_scale` (1 līdz 10) un `timestep_shift`. `use_thinking` vispirms veic spriešanas ciklu un atgriež tā izsekojumu.

- 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/lv/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 |  |  | Infografikas apraksts, kuru vēlaties ģenerēt; labākam rezultātam iekļaujiet konkrētu tipogrāfiju, vizualizējamos datus, sadaļu struktūru, izkārtojumu un krāsu paleti. |
| `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` | Attēla proporcijas; pēc noklusējuma 16:9, lai nodrošinātu saderību ar lielāko daļu plakātiem vai prezentācijām paredzētu infografiku. Tiek atbalstītas tikai attiecības, kas atbilst apmācībā izmantotajiem izšķirtspējas blokiem. |
| `num_inference_steps` |  | integer | no | `50` | 10 – 100 | Plūsmas saskaņošanas trokšņu noņemšanas soļu skaits. |
| `guidance_scale` |  | number | no | `4` | 1 – 10 | Klasifikatora brīvās vadības mērogs; palielinot to, izvade ciešāk atbilst uzvednei. |
| `timestep_shift` |  | number | no | `3` | 1 – 8 | Plūsmas saskaņošanas iztveršanā agrāko laika soļu izvēle tiek pastiprināta, palielinot šo laika soļa nobīdes koeficientu. |
| `use_thinking` |  | boolean | no | `false` |  | Kontrolē, vai pirms attēla ģenerēšanas tiek izpildīta chain-of-thought; iespējota, ja True. |
| `seed` |  | integer \| null | no |  |  | Sēkla reproducējamiem attēliem: identiska uzvedne un sēkla rada identisku attēlu, ja modeļa versija nav mainīta. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Drošības pārbaudītāja aktivizēšana; true iespējo pārbaudi. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Iegūtā attēla faila formāts. |

## 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} | Ģenerēšanas rezultātā izveidots attēls vai attēli. |
| `seed` | integer | Ģenerēšanas laikā izmantotā sēklas vērtība. |
| `has_nsfw_concepts` | array of boolean | Norāda, vai ģenerētajos attēlos parādās NSFW koncepcijas. |
| `prompt` | string | Uzvedne, kas vada ģenerēšanu. |
| `thinking` | string \| null | Chain-of-thought ģenerēšanas spriešanas izsekojums, pieejams, ja `use_thinking` iestatīts uz True; atspējots iestatījums tā vietā nodrošina `null`. |
| `timings` | object | Katrā posmā pavadītais laiks sekundēs. |

## Related models

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- [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
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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