# SDXL ControlNet Union · Image to Image API

> SDXL vaizdas į vaizdą su kelių ControlNet valdymu pagal pozos, gylio, kraštų, normalės arba segmentavimo valdymo vaizdus

Transformuoja pradinį vaizdą naudodamas SDXL bazę, valdomą raginio ir pasirinktinių openpose, gylio žemėlapis, teed, canny, normal bei segmentavimas valdymo vaizdų. Kiekviena valdymo įvestis turi atskirą išankstinio apdorojimo jungiklį. `strength` svyruoja nuo 0.05 iki 1, `num_inference_steps` – nuo 1 iki 70, o viename kvietime galima grąžinti iki 8 vaizdų. Galima pateikti LoRA ir įterpinius, o išvestis yra jpeg arba png.

- 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/lt/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 |  |  | Kuo išsamiau aprašykite norimą sugeneruoti vaizdą, kad gautumėte geriausius rezultatus. |
| `controlnet_conditioning_scale` |  | number | no | `0.5` | 0 – 1 | ControlNet taikomo sąlygojimo stiprumas. |
| `image_url` | `image` | string (image URL) | yes |  |  | Generavimo pradinis vaizdas, pateiktas URL. |
| `negative_prompt` |  | string | no | `` |  | Neigiamas raginys, nurodantis nepageidaujamas vaizdo detales. Juo galima pašalinti spalvas, objektus, aplinką, smulkesnius bruožus ir savybes, pvz., ūsus, suliejimą arba mažą raišką. |
| `image_size` |  | object {height, width} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Išvesties matmenys, automatiškai nustatomi pagal valdymo vaizdą, jei dydis nepateiktas. |
| `num_inference_steps` |  | integer | no | `35` | 1 – 70 | Atliekamų išvedimo žingsnių skaičius. |
| `guidance_scale` |  | number | no | `7.5` | 0 – 20 | Raginio laikymosi stiprumas vaizdo parinkimui, išreikštas kaip CFG (Classifier Free Guidance). |
| `strength` |  | number | no | `0.95` | 0.05 – 1 | Sugeneruoto vaizdo ir pradinio vaizdo panašumo lygis. |
| `seed` |  | integer \| null | no |  |  | Pradinis skaičius vaizdams atkurti Stable Diffusion. Vaizdą galima tiksliai atkurti kiekvieno paleidimo metu, jei nekeičiama modelio versija, raginys ir pradinis skaičius. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | Generavimui prašomas vaizdų skaičius. |
| `loras` |  | array of object {force, path, scale} | no | `[]` |  | Naudoti pasirinkti LoRA svoriai, pateikti kaip sąrašas. |
| `loras[].force` |  | boolean | no | `false` |  | Ar įdėčių naudojimas privalomas: true reiškia, kad jis privalomas. |
| `loras[].path` |  | string | yes |  |  | LoRA svorių šaltinis, pateikiamas kaip HF modelio identifikatorius, nurodantis į safetensors svorius, arba kaip URL ar keliu pasiekiamas safetensors failas. |
| `loras[].scale` |  | number | no | `1` | 0 – 1 | Daugiklis, taikomas LoRA svoriui prieš jį sujungiant su baziniu modeliu. |
| `embeddings` |  | array of object {path, tokens} | no | `[]` |  | Naudoti pasirinkti įdėčiai, pateikti kaip sąrašas. |
| `embeddings[].path` |  | string | yes |  |  | Įdėties svoriai, nurodyti URL arba failo keliu. |
| `embeddings[].tokens` |  | array of string \| null | no |  |  | Įdėties žetonų sąrašas; jo nepateikus naudojami automatiniai pavadinimai: kiekvienas įdėties faile esantis vektorius gauna sekos <s0>, <s1>, ... žetoną. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Saugos tikrintuvo aktyvinimas; true įjungia tikrinimą. |
| `safety_checker_version` |  | enum (string) | no | `v1` | `v1`, `v2` | Pasirinkite pasirinktinį ViT saugos tikrintuvą (`v2`) arba CompVis tikrintuvą (`v1`, numatytasis). |
| `expand_prompt` |  | boolean | no | `false` |  | Raginio išplėtimas papildomais raginiais, įjungiamas, kai true. |
| `format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Galutinio vaizdo failo formatas. |
| `request_id` |  | string | no | `` |  | Užklausos identifikatorius atsakymui susieti su jį sukūrusia užklausa. |
| `preserve_aspect_ratio` |  | boolean | no | `false` |  | Nustatykite true, kad sugeneruotas vaizdas išlaikytų formato koeficientą net tada, kai jo dydis viršija ribą. Norėdami po generavimo apkirpdami gauti tinkamas proporcijas, nustatykite crop_output į True. Plotis arba aukštis, nedalūs iš 32, vis tiek suapvalinami iki artimiausio 32 kartotinio, o pagal numatytuosius nustatymus šis dydžio keitimas formato koeficiento neišlaiko. |
| `crop_output` |  | boolean | no | `false` |  | Kai reikšmė true, apkirpti sugeneruotą išvestį iki tinkamo formato koeficiento. |
| `openpose_image_url` |  | string (image URL) \| null | no |  |  | URL, nurodantis valdymo vaizdą. |
| `openpose_preprocess` |  | boolean | no | `true` |  | Valdo openpose vaizdo išankstinį apdorojimą. |
| `depth_image_url` |  | string (image URL) \| null | no |  |  | URL, nurodantis valdymo vaizdą. |
| `depth_preprocess` |  | boolean | no | `true` |  | Valdo gylio vaizdo išankstinį apdorojimą. |
| `teed_image_url` |  | string (image URL) \| null | no |  |  | URL, nurodantis valdymo vaizdą. |
| `teed_preprocess` |  | boolean | no | `true` |  | Valdo teed vaizdo išankstinį apdorojimą. |
| `canny_image_url` |  | string (image URL) \| null | no |  |  | URL, nurodantis valdymo vaizdą. |
| `canny_preprocess` |  | boolean | no | `true` |  | Valdo canny vaizdo išankstinį apdorojimą. |
| `normal_image_url` |  | string (image URL) \| null | no |  |  | URL, nurodantis valdymo vaizdą. |
| `normal_preprocess` |  | boolean | no | `true` |  | Valdo normal vaizdo išankstinį apdorojimą. |
| `segmentation_image_url` |  | string (image URL) \| null | no |  |  | URL, nurodantis valdymo vaizdą. |
| `segmentation_preprocess` |  | boolean | no | `true` |  | Valdo segmentavimo vaizdo išankstinį apdorojimą. |

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} | Sugeneruotų vaizdų failo informacija. |
| `timings` | object |  |
| `seed` | integer | Vaizdo generavimo pradinė reikšmė, įskaitant atsitiktinai parinktą reikšmę, jei įvestyje pradinė reikšmė nenurodyta; kitu atveju kartojama pateikta reikšmė. |
| `has_nsfw_concepts` | array of boolean | Nurodo, ar sugeneruotuose vaizduose yra NSFW sąvokų. |
| `prompt` | string | Vaizdo generavimo metu naudojamas raginys. |

## Related models

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