# FLUX.1 [schnell] API

> Model FLUX tercepat dan termurah, menghasilkan gambar jadi dari prompt dalam sekitar satu detik.

Model FLUX 12 miliar parameter yang didistilasi dan hanya memerlukan 1 hingga 4 langkah denoising, sehingga menjadi cara tercepat untuk mengubah prompt menjadi gambar. Gunakan untuk draf, thumbnail, pratinjau, dan pipeline bervolume tinggi; beralih ke model FLUX yang lebih besar saat detail halus atau tulisan yang tepat penting. Ukuran apa pun hingga 14 megapiksel, hingga empat gambar per permintaan.

- Model id: `flux/schnell`
- Made by: Black Forest Labs
- Category: Text to Image
- Output: image
- Price: $0.003 / megapixel (cheapest run $0.003 (3 API credits))
- Run: `POST https://api.doitong.ru/v1/run/flux/schnell`
- Quote: `POST https://api.doitong.ru/v1/quote/flux/schnell`
- Docs page: https://doitong.com/id/developers/models/flux/schnell

## Pricing

Price: **$0.003 / megapixel**. Billed per megapixel of output (width × height of every image). Each image is rounded up to a whole megapixel.

The full example input below costs $0.003 = 3 API credits (1 MP × 3 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.ru/v1/quote/flux/schnell` 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 |
|---|---|---|---|---|---|---|
| `num_inference_steps` |  | integer | no | `4` | 1 – 12 | Jumlah langkah inferensi yang dijalankan. |
| `prompt` |  | string | yes |  |  | Prompt yang memandu pembuatan gambar. |
| `image_size` |  | object {width, height} \| enum (string) | no | `landscape_4_3` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Dimensi gambar yang dihasilkan. |
| `seed` |  | integer \| null | no |  |  | Seed untuk gambar yang dapat direproduksi: prompt dan seed identik menghasilkan gambar identik jika versi model tidak berubah. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 20 | Kekuatan kepatuhan terhadap prompt untuk pemilihan gambar, dinyatakan sebagai CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Jumlah gambar yang diminta untuk dibuat. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Pemeriksaan keamanan, yang mengembalikan gambar hitam sebagai pengganti gambar yang ditandai tidak aman. Nilai true mengaktifkan pemeriksaan; false menonaktifkannya hanya untuk akun yang berwenang, sedangkan permintaan tanpa otorisasi tetap diperiksa. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format file untuk gambar hasil. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `regular`, `high` | Akselerasi pembuatan; pengaturan yang lebih tinggi mengurangi waktu yang diperlukan untuk membuat hasil. |

## Example input

Required parameters only:

```json
{
  "prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot"
}
```

A fuller example:

```json
{
  "prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
  "image_size": "landscape_16_9",
  "num_images": 1
}
```

## 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/flux/schnell?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
    "image_size": "landscape_16_9",
    "num_images": 1
  }'

# 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/flux/schnell?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
    "image_size": "landscape_16_9",
    "num_images": 1
  }),
});
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 lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
    "image_size": "landscape_16_9",
    "num_images": 1,
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux/schnell", 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": "flux/schnell",
      "input": {
        "prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
        "image_size": "landscape_16_9",
        "num_images": 1
      },
      "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": "flux/schnell",
  "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": 3,
    "usd": "0.003",
    "charged": 3,
    "refunded": 0
  },
  "input": {
    "prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
    "image_size": "landscape_16_9",
    "num_images": 1
  },
  "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"
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string"
  },
  "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, width, height, content_type} | Informasi file untuk gambar yang dihasilkan. |
| `timings` | object |  |
| `seed` | integer | Seed pembuatan gambar, termasuk nilai yang dipilih secara acak jika input tidak menyertakan seed; jika tidak, nilai yang diberikan akan diulang. |
| `has_nsfw_concepts` | array of boolean | Menunjukkan apakah konsep NSFW muncul dalam gambar yang dihasilkan. |
| `prompt` | string | Prompt yang digunakan selama pembuatan gambar. |

## Related models

- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[dev\] Redux](https://doitong.com/developers/models/flux/dev/redux.md) (`flux/dev/redux`): $0.025 / megapixel
- [FLUX.1 \[schnell\] Redux](https://doitong.com/developers/models/flux/schnell/redux.md) (`flux/schnell/redux`): $0.025 / megapixel
- [FLUX.1 · Dev · Image to Image](https://doitong.com/developers/models/flux/dev/image-to-image.md) (`flux/dev/image-to-image`): $0.09 / image
- [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

## Links

- HTML page: https://doitong.com/developers/models/flux/schnell
- 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=flux/schnell
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/flux/schnell