# Train Flux LoRA API

> טרענירט אַ Flux LoRA אויף אַ zip פֿון אײַערע בילדער צו לערנען אַ מענטש, אַ טעמע אָדער אַ סטיל

מכוונען אַ LoRA פֿון אַ zip אַרכיוו מיט בילדער (`images_data_url`), וואָס קען אַרײַננעמען פּאַסיקע קעפּשן־טעקסטפֿײַלן. ניצט `trigger_word` צו באַצייכענען דעם באַגריף, און `is_style` פֿאַר סטיל־טרענירונג, וואָס שליסט אויס סעגמענטאַציע און קעפּשאַנינג. `create_masks` גיט די לאָס מער וואָג אויף סוביעקטן, און `steps` נעמט אָן 1 ביז 10000. גיט צוריק די diffusers LoRA וואָגונגען צוזאַמען מיט אַ קאָנפֿיגוראַציע־טעקע.

- 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.ru/v1/run/flux-lora-fast-training`
- Quote: `POST https://api.doitong.ru/v1/quote/flux-lora-fast-training`
- Docs page: https://doitong.com/yi/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.ru/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 |  |  | צושטעלן בילדער דורך אַ ZIP־אַרכיוו־URL, אָפּציאָנאַל צופּאָרנדיק יעדער בילד מיט אַ caption־טעקסט־פֿײַל מיטן זעלבן נאָמען. צילט אויף לכל־הפּחות 4 בילדער; גרעסערע בילד־זאַמלונגען זענען בדרך־כלל בעסער. |
| `trigger_word` |  | string \| null | no |  |  | צושטעלן אַ trigger word ווי אַ פאַרבײַט פֿאַר captions ווען captions פעלן; עקזיסטירנדיקע captions פאַרמיידן trigger_word פֿון ווערן גענוצט. שטעלן עס צו None צו נוצן קיין trigger word נישט. |
| `create_masks` |  | boolean | no | `true` |  | אַקטיוויזירן מאַסקע־באזירטע געוויכטונג פֿון דער טריינינג־לאָס מיט True; פֿאַר בילדער פֿון מענטשן ניצט דאָס אַ פּנים־מאַסקע ווען מעגלעך. |
| `steps` |  | integer \| null | no |  | 1 – 10,000 | צאָל טריינינג־סטעפּס פֿאַר דער LoRA. |
| `is_style` |  | boolean | no | `false` |  | אַקטיוויזירן סטיל־טריינינג מיט True און ספּעציפיצירן דעם סטיל דורך דער trigger word. אין דעם מאָדע פאַרבײַט די trigger word די captioning, און segmentation ווערט דיסייבלט. |
| `is_input_format_already_preprocessed` |  | boolean | no | `false` |  | פּרעפּראָסעסינג־סטאַטוס פֿון די צוגעשטעלטע דאַטן: True מיינט אַ שוין פּרעפּראָסעסטע דאַטאַסעט. דער סטאַנדאַרט, False, דאַרף אַנשטאָט רויע בילד/caption־פּאָרן מיט גלײַכע באַזע־נעמען, ווי 'photo.jpg' און 'photo.txt'. |
| `data_archive_format` |  | string \| null | no |  |  | אַרכיוו־פֿאָרמאַט, אַרויסגעלייענט פֿון זײַן URL ווען עס ווערט אויסגעלאָזט. |

## 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.ru/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.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-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.ru/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.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-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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `diffusers_lora_file` | object {url, content_type, file_name, file_size} | URL צו די טריינירטע LoRA־וואָגונגען אין diffusers פֿאָרמאַט. |
| `config_file` | object {url, content_type, file_name, file_size} | URL פֿון דער טריינינג־קאָנפיגוראַציע־פֿײַל. |
| `debug_preprocessed_output` | object {url, content_type, file_name, file_size} \| null | URL וואָס ווײַזט אָן אויף די בילדער נאָך פּרעפּראָסעסינג. |

## 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.ru/v1/models/flux-lora-fast-training