# Train Flux LoRA API

> ᡝᠮᡤᡝᠯᡝᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᡝ Flux LoRA ᠪᠠᠨᠵᡳᠮᠪᡳ

`images_data_url` ᡳ zip ᠠᡵᡤᠠᠨ ᡩᡝᡵᡳ LoRA ᠵᠠᠯᠠᠨ ᠵᠠᠰᡳᠮᠪᡳ᠃ `trigger_word` ᡩᠠᠮᡠ ᠵᡠᠯᡤᠠᠨ ᡳ ᡩᠠᡵᡳᠨ᠂ `is_style` ᡩᠠᠮᡠ ᠵᠠᠰᡳᠨ ᠵᡠᠯᡤᠠᠨ ᠵᡠᠯᡤᠠᠨ ᠪᠠᡳᠴᡳᠮᠪᡳ᠃ `create_masks` ᠪᡝᠶᡝ ᡩᡝ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡤᠠᠨ ᠵᠠᠰᡳᠮᠪᡳ᠂ `steps` 1 ᡩᡝᡵᡳ 10000᠃ diffusers LoRA ᡳ ᠪᠠᡳᠴᡳ ᠪᠠ config ᠪᡝ ᠠᠪᠠᠮᠪᡳ᠃

- Model id: `flux-lora-fast-training`
- Made by: Black Forest Labs
- Category: Training
- Output: file
- Price per run: from $0.002 / run (cheapest run $0.002 (2 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-lora-fast-training`
- Quote: `POST https://api.doitong.com/v1/quote/flux-lora-fast-training`
- Docs page: https://doitong.com/mnc/developers/models/flux-lora-fast-training

## Pricing

Price: **from $0.002 / 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 $2.00 = 2000 API credits (1 run × $2.00).

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-lora-fast-training` 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 |
|---|---|---|---|---|---|---|
| `images_data_url` |  | string | yes |  |  | ZIP ᠵᠠᠭᠠᠨ ᡳ URL ᠠᠩᡤᠠᠨ ᡩᡝ ᠮᡠᠩᡤᠠᠨ ᠪᡠᡥᡝ᠂ ᠮᡠᠩᡤᠠᠨ ᡝᠮᡤᡳ ᡩᠠ ᡝᠮᡤᡳ ᠪᡳ ᡩᠠᠩᡤᠠᠨ ᡶᡳᠯᡝ ᡩᡝ. ᠵᡠᠯᡝ 4 ᡤᠠᠳᠠᠨ; ᠣᠯᡥᠣ ᡤᠠᠳᠠᠨ ᠵᠠᠯᠠᠨ ᠪᠠᠶᠠᠨ. |
| `trigger_word` |  | string \| null | no |  |  | ᡥᡡᠯᠠᠨ ᠵᠠᠯᠠᠨ ᠠᠮᠠᠰᡳ ᠪᡳᠮᡝ trigger_word ᠠᠰᡥᠠᠨ; ᡝᠮᡤᡳ ᡥᡡᠯᠠᠨ ᠪᡳᠮᡝ trigger_word ᠠᠮᠠᠰᡳ ᠠᠰᡥᠠᠨ. None ᠪᡠᡥᡝ ᠮᡠᠶᠠᠨ trigger word. |
| `create_masks` |  | boolean | no | `true` |  | True ᡩᠠ ᠮᡠᠩᡤᠠᠨ ᡳ ᠮᡠᠩᡤᠠᠨ ᠵᠠᠯᠠᠨ ᡩᡝ ᠮᠠᠰᡥᠠᠨ; ᡨᠠᠨᠵᡠ ᠵᡠᠰᡨᠠᠨ ᡩᡝ ᠨᠠᠯᡥᡡ ᠮᡠᠩᡤᠠᠨ ᠠᠰᡥᠠᠨ. |
| `steps` |  | integer \| null | no |  | 1 – 10,000 | LoRA ᡳ ᠮᡠᠩᡤᠠᠨ ᠵᠠᡥᠠᠨ. |
| `is_style` |  | boolean | no | `false` |  | True ᡩᠠ ᠮᠠᠶᠠᠨ ᠮᡠᠩᡤᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᡥᡡᠯᠠᠨ ᠪᡠᡥᡝ. ᡝᡵᡝ ᠠᡵᠠ ᡩᡝ trigger word ᡥᡡᠯᠠᠨ ᡳ ᠵᠠᡵᡤᠠᠨ ᠪᡠᠶᡝᠮᡝ᠂ segmentation ᠠᠮᠠᠰᡳ. |
| `is_input_format_already_preprocessed` |  | boolean | no | `false` |  | ᠪᡠᡥᡝ ᡤᠠᠯᡤᠠᠨ ᡳ ᠵᠠᠰᡥᠠᠨ: True ᠵᠠᠰᡥᠠᠨ ᡶᡳᠯᡝ ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠰᡥᠠᠨ. ᠵᡠᠯᡝ False ᠪᡝ ᠠᠰᡥᠠᠨ᠂ ᡩᠠᠩᡤᠠᠨ ᡤᠠᠳᠠᠨ/ᡥᡡᠯᠠᠨ ᡳ ᠠᠮᠠᠯᡤᠠ ᠵᠠᠯᠠᠨ ᠮᡝᠪᡳ. |
| `data_archive_format` |  | string \| null | no |  |  | ᠵᠠᠭᠠᠨ ᡳ ᡩᠠᠩᡤᠠᠨ, URL ᠠᠮᠠᠰᡳ ᠪᡳᠮᡝ ᠵᠠᠰᡥᠠᠨ. |

## Example input

Required parameters only:

```json
{
  "images_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "images_data_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-lora-fast-training?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images_data_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-lora-fast-training?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "images_data_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 = {
    "images_data_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-lora-fast-training", 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-lora-fast-training",
      "input": {
        "images_data_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-lora-fast-training",
  "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": 2000,
    "usd": "2.00",
    "charged": 2000,
    "refunded": 0
  },
  "input": {
    "images_data_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "diffusers_lora_file": {
      "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
    },
    "config_file": {
      "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
    },
    "debug_preprocessed_output": {
      "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": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "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 |
|---|---|---|
| `diffusers_lora_file` | object {url, content_type, file_name, file_size} | ᠵᠠᠰᡳᠮᡝ ᠪᡳᠰᡳᡵᡝ LoRA ᠵᠠᠯᡳᠨ ᡳ URL᠉ |
| `config_file` | object {url, content_type, file_name, file_size} | ᠮᡠᠩᡤᠠᠨ ᠵᠠᠰᡥᠠᠨ ᡳ ᡶᡳᠯᡝ ᡳ URL. |
| `debug_preprocessed_output` | object {url, content_type, file_name, file_size} \| null | ᠵᠠᠰᡥᠠᠨ ᡩᡝ ᠣᠮᠪᡝ ᡤᠠᠳᠠᠨ ᡳ URL. |

## Related models

- [FLUX 2 \[klein\] 9b Base Trainer](https://doitong.com/developers/models/flux-2-klein-9b-base-trainer.md) (`flux-2-klein-9b-base-trainer`): $0.0043 / step
- [Flux 2 Klein 9B Base Trainer](https://doitong.com/developers/models/flux-2-klein-9b-base-trainer/edit.md) (`flux-2-klein-9b-base-trainer/edit`): $0.0139 / step
- [FLUX 2 Trainer](https://doitong.com/developers/models/flux-2-trainer.md) (`flux-2-trainer`): $0.0064 / step
- [FLUX 2 Trainer Edit](https://doitong.com/developers/models/flux-2-trainer/edit.md) (`flux-2-trainer/edit`): $0.0389 / step
- [FLUX 2 Trainer V2](https://doitong.com/developers/models/flux-2-trainer-v2.md) (`flux-2-trainer-v2`): $0.0064 / step
- [FLUX 2 Trainer V2 Edit](https://doitong.com/developers/models/flux-2-trainer-v2/edit.md) (`flux-2-trainer-v2/edit`): $0.0389 / step
- [Flux Kontext Trainer](https://doitong.com/developers/models/flux-kontext-trainer.md) (`flux-kontext-trainer`): from $1.25 / run
- [Train Flux LoRAs For Portraits](https://doitong.com/developers/models/flux-lora-portrait-trainer.md) (`flux-lora-portrait-trainer`): from $2.40 / run

## Links

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