# FASHN Virtual Try-On V1.6 API

> Nevo v1.6 virtuoalno proba-saradipe, savo sikavel astaradipe pe modeleski fotografija majbare rezultatutne rezolucijasa

Thovel gada katar `garment_image` pe manušesko `model_image`, savo duj si URL vaj base64. `category` prihvatil tops, bottoms, one-pieces vaj auto, thaj `garment_photo_type` prihvatil modelo, flat-lay vaj auto. `mode` si performance, balanced vaj quality, thaj `num_samples` del 1 dži 4 rezultatura png vaj jpeg.

- Model id: `fashn/tryon/v1.6`
- Made by: FASHN
- Category: Image Editing
- Output: image
- Price: $0.075 / image (cheapest run $0.075 (75 API credits))
- Run: `POST https://api.doitong.com/v1/run/fashn/tryon/v1.6`
- Quote: `POST https://api.doitong.com/v1/quote/fashn/tryon/v1.6`
- Docs page: https://doitong.com/rom/developers/models/fashn/tryon/v1.6

## Pricing

Price: **$0.075 / image**. Billed per generated image (`num_samples`, default 1).

The full example input below costs $0.075 = 75 API credits (1 image × 75 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/fashn/tryon/v1.6` 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 |
|---|---|---|---|---|---|---|
| `model_image` |  | string | yes |  |  | Modeloskoro kipo dino sar URL vaj base64-data. |
| `garment_image` |  | string | yes |  |  | Gadžoskoro kipo dino sar URL vaj base64-data. |
| `category` |  | enum (string) | no | `auto` | `tops`, `bottoms`, `one-pieces`, `auto` | Kategorija e gadžoski try-on; 'auto' mangela pokušaj te identifikinen la automatikane. |
| `mode` |  | enum (string) | no | `balanced` | `performance`, `balanced`, `quality` | Operacijako modo e speed–quality tradeoffoske: 'balanced' rodel maškarutno than, 'quality' del majlačhe rezultatura lokhestar procesinga, thaj 'performance' kerel sigeder, ama šaj te xasarel kvaliteto. |
| `garment_photo_type` |  | enum (string) | no | `auto` | `auto`, `model`, `flat-lay` | Kategorija e gadžoskere kiposki pala tuning e internal parametrengi. Flat-lay-shotura thaj ghost-mannequin-kipa uživaren 'flat-lay'; kipa kaj si o gadžo uravdo modelosa uživaren 'model'. 'auto' pokušal te identifikarel la kategorija korkori. |
| `moderation_level` |  | enum (string) | no | `permissive` | `none`, `permissive`, `conservative` | Moderaciako politika e gadžoskere kiposki. Te phandel e filterura 'none' mangela accountoskoro autorizacia; bizo late, ada alosaripen kerel sar 'permissive'. 'permissive' blokiril numa eksplicitno kontento, vaj 'conservative' čhinel vi underwear thaj swimwear. |
| `seed` |  | integer \| null | no |  |  | Seed pala reproducibilno keripe: fixiril e slučajnost, ta identično inputura šaj te den jekhajekh rezultato, thaj paruvdo seed zorarel aver rezultato. |
| `num_samples` |  | integer | no | `1` | 1 – 4 | Gendo e kipongi pala jekh runo, savo mukel but pokušaja jekhetane te vazdel o šajipen pala lačho rezultato, malgré e slučajnost ande keripe. |
| `segmentation_free` |  | boolean | no | `true` |  | Phandel o manušikano parsing pala o modeloskoro kipo. |
| `output_format` |  | enum (string) | no | `png` | `png`, `jpeg` | Alosaripen e kiposkere formatosko maškar 'png' pala maksimalno kvaliteto thaj 'jpeg' pala sigeder keripe. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Screening šaj te avel relaksirime te postavil pes false, numa kana o manglo si autorizuime. |

## Example input

Required parameters only:

```json
{
  "model_image": "example",
  "garment_image": "example"
}
```

A fuller example:

```json
{
  "model_image": "example",
  "garment_image": "example"
}
```

## 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/fashn/tryon/v1.6?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model_image": "example",
    "garment_image": "example"
  }'

# 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/fashn/tryon/v1.6?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model_image": "example",
    "garment_image": "example"
  }),
});
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 = {
    "model_image": "example",
    "garment_image": "example",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/fashn/tryon/v1.6", 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": "fashn/tryon/v1.6",
      "input": {
        "model_image": "example",
        "garment_image": "example"
      },
      "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": "fashn/tryon/v1.6",
  "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": 75,
    "usd": "0.075",
    "charged": 75,
    "refunded": 0
  },
  "input": {
    "model_image": "example",
    "garment_image": "example"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200
      }
    ]
  },
  "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, content_type, file_name, file_size} |  |

## Related models

- [FASHN Virtual Try-On V1.5](https://doitong.com/developers/models/fashn/tryon/v1.5.md) (`fashn/tryon/v1.5`): $0.075 / image
- [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
- [Age Modify](https://doitong.com/developers/models/image-apps-v2/age-modify.md) (`image-apps-v2/age-modify`): $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/fashn/tryon/v1.6
- 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=fashn/tryon/v1.6
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/fashn/tryon/v1.6