# Hidream O1 Image API

> Pilno soļu HiDream teksta attēla modelis ar neobligātu atsauces attēlu atbalstu rediģēšanai vai objekta personalizācijai

Ģenerē attēlus no `prompt`, ar neobligātu `reference_image_urls`: bez tiem vienkāršai teksta pārvēršanai attēlā, ar vienu attēlu rediģēšanai un ar vairākiem objekta personalizācijai. Pēc noklusējuma izmanto 50 trokšņa noņemšanas soļus un vadības mērogu 5. Izvades sasniedz aptuveni 2048x2048, ar 1 līdz 4 attēliem vienā pieprasījumā png, jpeg vai webp formātā.

- Model id: `hidream-o1-image`
- Made by: HiDream
- Category: Text to Image
- Output: image
- Price: $0.01 / megapixel (cheapest run $0.01 (10 API credits))
- Run: `POST https://api.doitong.com/v1/run/hidream-o1-image`
- Quote: `POST https://api.doitong.com/v1/quote/hidream-o1-image`
- Docs page: https://doitong.com/lv/developers/models/hidream-o1-image

## Pricing

Price: **$0.01 / megapixel**. Billed per megapixel of output (width × height of every image). Each image is rounded up to a whole megapixel.

The full example input below costs $0.01 = 10 API credits (1 MP × 10 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/hidream-o1-image` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | ≥ 1 characters | Teksta norādes attēlu ģenerēšanai vai rediģēšanai, kā arī subjekta vadītai personalizācijai. |
| `reference_image_urls` | `images` | array of image URL | no | `[]` |  | Atsauces attēli rediģēšanai (viens attēls) vai subjekta vadītai personalizācijai (vairāki attēli); teksta pārveidei attēlā tos izlaidiet. |
| `image_size` |  | object {width, height} \| enum (string) | no | `{"height":1024,"width":1024}` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Izvades izmēri ar aptuveno maksimālo robežu 2048 × 2048 pikseļi; katrs pieprasītais izmērs tiek samazināts līdz tuvākajam 32 daudzkārtnim. |
| `num_inference_steps` |  | integer | no | `50` | 1 – 50 | Veicamo trokšņa samazināšanas soļu skaits. |
| `guidance_scale` |  | number | no | `5` | 0 – 20 | Klasifikatoram brīvās vadības mērogs; pilnajam modelim noklusējums ir 5.0. |
| `seed` |  | integer \| null | no |  |  | Nejauša sēkla, kas padara ģenerēšanu reproducējamu. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Ģenerējamo attēlu skaits. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Iegūtā attēla faila formāts. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Nosaka, vai ģenerētajiem attēliem tiek veikta drošības pārbaude. |
| `keep_original_aspect` |  | boolean | no | `false` |  | Proporciju saglabāšana ģenerēšanai ar vienu atsauci: izvade atbilst atsauces proporcijām tikai tad, ja iesniegts tieši viens attēls. |

File parameters (`images`) 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"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/hidream-o1-image?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"
  }'

# 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/hidream-o1-image?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"
  }),
});
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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/hidream-o1-image", 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": "hidream-o1-image",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "hidream-o1-image",
  "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": 10,
    "usd": "0.01",
    "charged": 10,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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,
        "width": 1024,
        "height": 768
      }
    ],
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string",
    "timings": {}
  },
  "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, width, height} | Ģenerēšanas rezultātā iegūtie attēli. |
| `seed` | integer | Ģenerēšanas laikā lietotā sēklas vērtība. |
| `has_nsfw_concepts` | array of boolean | Drošības pārbaudītāja karoga statuss katram ģenerētajam attēlam. |
| `prompt` | string | Uzvedne, kas tika izmantota izvades ģenerēšanai. |
| `timings` | object | Ģenerēšanas laika mērījumi. |

## Related models

- [Hidream O1 Image · Dev](https://doitong.com/developers/models/hidream-o1-image/dev.md) (`hidream-o1-image/dev`): $0.005 / megapixel
- [Hidream O1 Image · Edit](https://doitong.com/developers/models/hidream-o1-image/edit.md) (`hidream-o1-image/edit`): $0.01 / megapixel
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/hidream-o1-image
- 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=hidream-o1-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/hidream-o1-image