# FLUX Virtual Try-On API

> Virtuelle Anprobe, die ein Kleidungsbild auf ein Personenfoto legt

Legt ein Kleidungsstück aus `garment_image_url` auf die Person in `human_image_url` und folgt dabei einem `prompt`, der das Tragen beschreibt. Die Ausgabe behält das Seitenverhältnis des Personenbilds bei. Das Personenbild ist auf 2 Megapixel und das Kleidungsbild auf 1 begrenzt; mehrere Kleidungsstücke müssen zu einem Komposit zusammengeführt werden.

- Model id: `flux-pro/v1/vto`
- Made by: Black Forest Labs
- Category: Image Editing
- Output: image
- Price per run: from $0.0475 / run (cheapest run $0.048 (48 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-pro/v1/vto`
- Quote: `POST https://api.doitong.com/v1/quote/flux-pro/v1/vto`
- Docs page: https://doitong.com/de/developers/models/flux-pro/v1/vto

## Pricing

Price: **from $0.0475 / run** (the lowest tier; the quote prices your exact input). Price per run: 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 $0.048 = 48 API credits (1 run × $0.0475).

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/flux-pro/v1/vto` 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 |  |  | Anweisungen zur Kleidungsstyling in natürlicher Sprache: die Anordnung am Körper angeben, einschließlich Optionen wie Schichten, Hineinstecken oder Hochrollen der Ärmel. |
| `human_image_url` |  | string (image URL) | yes |  |  | URL des Personenfotos, das das Kleidungsstück erhält, begrenzt auf 2 Megapixel, wobei unter 1 MP empfohlen wird. Dieses Foto bestimmt das Ausgabe-Seitenverhältnis. |
| `garment_image_url` |  | string (image URL) | yes |  |  | Eine Kleidungsreferenz per Bild-URL bereitstellen und mehrere Kleidungsstücke vor der Übermittlung zu einem Kompositbild kombinieren. Das Bild auf höchstens 1 Megapixel begrenzen; etwa 0.5 MP werden empfohlen. |
| `seed` |  | integer \| null | no |  |  | Generierungs-Seed, bei fehlender Angabe zufällig gewählt. Ein fester Seed macht Bildergebnisse wiederholbar, sofern die Eingabe ebenfalls unverändert bleibt. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Dateiformat des resultierenden Bilds. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Die Prüfung kann durch Setzen auf false gelockert werden, sofern der Aufrufer dazu berechtigt ist. |

File parameters (`human_image_url`, `garment_image_url`) 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",
  "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "garment_image_url": "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",
  "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "garment_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.com/v1/run/flux-pro/v1/vto?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",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_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.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/flux-pro/v1/vto?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",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_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.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",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_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/flux-pro/v1/vto", 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": "flux-pro/v1/vto",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "garment_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": "flux-pro/v1/vto",
  "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": 48,
    "usd": "0.048",
    "charged": 48,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "human_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "garment_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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.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} | Dateiinformationen für die generierten Bilder. |
| `timings` | object |  |
| `seed` | integer | Seed der Bildgenerierung einschließlich des zufällig gewählten Werts, falls die Eingabe keinen Seed enthielt; andernfalls wird der angegebene Wert wiederholt. |
| `has_nsfw_concepts` | array of boolean | Gibt an, ob NSFW-Konzepte in den generierten Bildern vorkommen. |
| `prompt` | string | Während der Bildgenerierung verwendeter Prompt. |

## Related models

- [Flux Pro Erase](https://doitong.com/developers/models/flux-pro/v1/erase.md) (`flux-pro/v1/erase`): from $0.042 / run
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [FLUX 2 Edit](https://doitong.com/developers/models/flux-2/edit.md) (`flux-2/edit`): $0.012 / megapixel

## Links

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