# FLUX Virtual Try-On API

> Εικονική δοκιμή ρούχου που τοποθετεί εικόνα ενδύματος σε φωτογραφία ατόμου

Εφαρμόζει ρούχο από `garment_image_url` στο άτομο του `human_image_url`, σύμφωνα με `prompt` που περιγράφει τον τρόπο φορέματος. Η έξοδος διατηρεί την αναλογία διαστάσεων της εικόνας του ατόμου. Η εικόνα του ατόμου περιορίζεται σε 2 megapixel και του ρούχου σε 1· συγχωνεύστε πολλά ρούχα σε μία σύνθετη εικόνα.

- 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/el/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 |  |  | Οδηγίες styling ενδύματος γραμμένες σε φυσική γλώσσα: καθορίστε τη διάταξή του πάνω στο άτομο, συμπεριλαμβανομένων επιλογών όπως στρώσεις, τοποθέτηση μέσα από το ρούχο ή δίπλωμα των μανικιών. |
| `human_image_url` |  | string (image URL) | yes |  |  | URL φωτογραφίας του ατόμου που θα φορέσει το ένδυμα, περιορισμένο σε 2 megapixels, με συνιστώμενο μέγεθος κάτω από 1 MP. Αυτή η φωτογραφία καθορίζει την αναλογία διαστάσεων της εξόδου. |
| `garment_image_url` |  | string (image URL) | yes |  |  | Παρέχετε αναφορά ενδύματος μέσω URL εικόνας, συνδυάζοντας πολλά ενδύματα σε ένα σύνθετο πριν από την υποβολή. Διατηρήστε την εικόνα σε 1 megapixel ή λιγότερο· συνιστώνται περίπου 0.5 MP. |
| `seed` |  | integer \| null | no |  |  | Seed παραγωγής, επιλέγεται τυχαία αν παραλειφθεί. Η παροχή σταθερού seed κάνει τα αποτελέσματα εικόνας επαναλήψιμα όταν παραμένει αμετάβλητη και η είσοδος. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Μορφή αρχείου της τελικής εικόνας. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ο έλεγχος μπορεί να χαλαρώσει με τη ρύθμιση false, εφόσον ο καλών είναι εξουσιοδοτημένος. |

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} | Πληροφορίες αρχείου για τις εικόνες που παράγονται. |
| `timings` | object |  |
| `seed` | integer | Seed παραγωγής εικόνας, συμπεριλαμβανομένης της τυχαία επιλεγμένης τιμής αν η είσοδος δεν περιείχε seed· διαφορετικά, επαναλαμβάνει την παρεχόμενη τιμή. |
| `has_nsfw_concepts` | array of boolean | Υποδεικνύει αν εμφανίζονται έννοιες NSFW στις παραγόμενες εικόνες. |
| `prompt` | string | Prompt που χρησιμοποιείται κατά την παραγωγή εικόνας. |

## 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