# SDXL ControlNet Union · Image to Image API

> SDXL íomhá-go-íomhá le treoir il-ControlNet ó íomhánna rialaithe staide, doimhneachta, ciumhaise, gnáthóige nó deighilte

Athraíonn sé íomhá thosaigh ag úsáid bonn SDXL faoi threoir leid agus íomhánna rialaithe roghnacha do openpose, mapa doimhneachta, teed, canny, normal agus deighilt. Tá scorán réamhphróiseála dá chuid féin ag gach ionchur rialaithe. Raonta `strength` ó 0.05 go 1, `num_inference_steps` ó 1 go 70, agus is féidir suas le 8 n-íomhá a thabhairt ar ais in aghaidh an ghlao. Is féidir LoRAs agus leabuithe a sholáthar, agus is jpeg nó png an t-aschur.

- Model id: `sdxl-controlnet-union/image-to-image`
- Made by: Stability AI
- Category: Image Editing
- Output: image
- Estimated price per run: $0.048 / image (cheapest run $0.048 (48 API credits))
- Run: `POST https://api.doitong.ru/v1/run/sdxl-controlnet-union/image-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/sdxl-controlnet-union/image-to-image`
- Docs page: https://doitong.com/ga/developers/models/sdxl-controlnet-union/image-to-image

## Pricing

Price: **$0.048 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.048 = 48 API credits (1 image × 48 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.ru/v1/quote/sdxl-controlnet-union/image-to-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 |  |  | Déan cur síos ar an íomhá atá uait a ghiniúint, agus bain úsáid as an oiread sonraí agus is féidir chun na torthaí is fearr a fháil. |
| `controlnet_conditioning_scale` |  | number | no | `0.5` | 0 – 1 | Neart an oiriúnaithe a chuireann ControlNet i bhfeidhm. |
| `image_url` | `image` | string (image URL) | yes |  |  | Íomhá tosaigh don ghiniúint, a sholáthraítear trí URL. |
| `negative_prompt` |  | string | no | `` |  | Leid dhiúltach ina sonraítear sonraí íomhá nach dteastaíonn. Is féidir dathanna, réada, radhairc nó gnéithe agus cáilíochtaí míne amhail mustache, doiléireacht nó taifeach íseal a eisiamh. |
| `image_size` |  | object {height, width} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Toisí aschuir, a chinntear go huathoibríoch ón íomhá rialaithe nuair nach soláthraítear méid. |
| `num_inference_steps` |  | integer | no | `35` | 1 – 70 | Líon na gcéimeanna tátail atá le rith. |
| `guidance_scale` |  | number | no | `7.5` | 0 – 20 | Neart cloí leis an leid agus íomhánna á roghnú, léirithe mar CFG (Classifier Free Guidance). |
| `strength` |  | number | no | `0.95` | 0.05 – 1 | Leibhéal cosúlachta idir an íomhá ghinte agus an íomhá tosaigh. |
| `seed` |  | integer \| null | no |  |  | Síol chun íomhánna a athchruthú in Stable Diffusion. Is féidir íomhá a athchruthú go beacht i ngach rith trí leagan na samhla, an leid agus an síol a choinneáil gan athrú. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | Líon na n-íomhánna a iarrtar don ghiniúint. |
| `loras` |  | array of object {force, path, scale} | no | `[]` |  | Meáchain LoRA roghnaithe le húsáid, curtha ar fáil mar liosta. |
| `loras[].force` |  | boolean | no | `false` |  | An bhfuil úsáid an leabaithe éigeantach: déanann true éigeantach é. |
| `loras[].path` |  | string | yes |  |  | Foinse mheáchain LoRA, soláthraithe mar aitheantóir samhla HF a réitíonn chuig meáchain safetensors, nó mar chomhad safetensors suite trí URL nó conair. |
| `loras[].scale` |  | number | no | `1` | 0 – 1 | Iolraitheoir a chuirtear i bhfeidhm ar mheáchan an LoRA sula gcumasaítear é sa tsamhail bhunúsach. |
| `embeddings` |  | array of object {path, tokens} | no | `[]` |  | Leabaithe roghnaithe le húsáid, curtha ar fáil mar liosta. |
| `embeddings[].path` |  | string | yes |  |  | Meáchain leabaithe sonraithe le URL nó conair chomhaid. |
| `embeddings[].tokens` |  | array of string \| null | no |  |  | Liosta tócan leabaithe, le hainmniú uathoibríoch nuair a fhágtar ar lár é: faigheann gach veicteoir sa chomhad leabaithe tócan ón seicheamh <s0>, <s1>, ... . |
| `enable_safety_checker` |  | boolean | no | `true` |  | Gníomhachtú an tseiceálaí sábháilteachta; cumasaíonn true an tseiceáil. |
| `safety_checker_version` |  | enum (string) | no | `v1` | `v1`, `v2` | Roghnaigh idir seiceálaí sábháilteachta saincheaptha ViT (`v2`) agus seiceálaí CompVis (`v1`, an réamhshocrú). |
| `expand_prompt` |  | boolean | no | `false` |  | Leathnú na leide le leideanna breise, cumasaithe nuair atá true. |
| `format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Formáid comhaid na híomhá deiridh. |
| `request_id` |  | string | no | `` |  | Aitheantóir iarratais chun freagairt a chomhghaolú leis an iarratas a chruthaigh í. |
| `preserve_aspect_ratio` |  | boolean | no | `false` |  | Socraigh go true chun cóimheas gné na híomhá ghinte a choinneáil fiú má sháraíonn a méid an teorainn. Chun na comhréireanna cearta a fháil trí bhearradh tar éis na giniúna, socraigh crop_output go True. Déantar luachanna leithead nó airde nach bhfuil inroinnte ar 32 a shlánú go dtí an t-iolraí is gaire de 32, agus ní choinníonn an t-athrú méide seo an cóimheas gné de réir réamhshocraithe. |
| `crop_output` |  | boolean | no | `false` |  | Bearr an t-aschur ginte go dtí an cóimheas gné ceart nuair atá true. |
| `openpose_image_url` |  | string (image URL) \| null | no |  |  | URL a dhíríonn ar an íomhá rialaithe. |
| `openpose_preprocess` |  | boolean | no | `true` |  | Rialaíonn sé réamhphróiseáil na híomhá openpose. |
| `depth_image_url` |  | string (image URL) \| null | no |  |  | URL a dhíríonn ar an íomhá rialaithe. |
| `depth_preprocess` |  | boolean | no | `true` |  | Rialaíonn sé réamhphróiseáil na híomhá doimhneachta. |
| `teed_image_url` |  | string (image URL) \| null | no |  |  | URL a dhíríonn ar an íomhá rialaithe. |
| `teed_preprocess` |  | boolean | no | `true` |  | Rialaíonn sé réamhphróiseáil na híomhá teed. |
| `canny_image_url` |  | string (image URL) \| null | no |  |  | URL a dhíríonn ar an íomhá rialaithe. |
| `canny_preprocess` |  | boolean | no | `true` |  | Rialaíonn sé réamhphróiseáil na híomhá canny. |
| `normal_image_url` |  | string (image URL) \| null | no |  |  | URL a dhíríonn ar an íomhá rialaithe. |
| `normal_preprocess` |  | boolean | no | `true` |  | Rialaíonn sé réamhphróiseáil na híomhá normálaí. |
| `segmentation_image_url` |  | string (image URL) \| null | no |  |  | URL a dhíríonn ar an íomhá rialaithe. |
| `segmentation_preprocess` |  | boolean | no | `true` |  | Rialaíonn sé réamhphróiseáil na híomhá deighilte. |

File parameters (`image`, `openpose_image_url`, `depth_image_url`, `teed_image_url`, `canny_image_url`, `normal_image_url`, `segmentation_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
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "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.ru/v1/run/sdxl-controlnet-union/image-to-image?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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.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/sdxl-controlnet-union/image-to-image?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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/sdxl-controlnet-union/image-to-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.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": "sdxl-controlnet-union/image-to-image",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "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": "sdxl-controlnet-union/image-to-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": 48,
    "usd": "0.048",
    "charged": 48,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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",
        "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, width, height, content_type} | Eolas comhaid do na híomhánna ginte. |
| `timings` | object |  |
| `seed` | integer | Síol giniúint íomhá, lena n-áirítear an luach a roghnaíodh go randamach mura raibh síol san ionchur; murach sin, athúsáideann sé an luach soláthraithe. |
| `has_nsfw_concepts` | array of boolean | Léiríonn sé cibé acu an bhfuil coincheapa NSFW le feiceáil sna híomhánna ginte. |
| `prompt` | string | Leid a úsáidtear le linn giniúint íomhá. |

## Related models

- [SDXL ControlNet Union](https://doitong.com/developers/models/sdxl-controlnet-union.md) (`sdxl-controlnet-union`): $0.014 / image
- [SDXL ControlNet Union · Inpainting](https://doitong.com/developers/models/sdxl-controlnet-union/inpainting.md) (`sdxl-controlnet-union/inpainting`): $0.012 / 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

## Links

- HTML page: https://doitong.com/developers/models/sdxl-controlnet-union/image-to-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=sdxl-controlnet-union/image-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/sdxl-controlnet-union/image-to-image