# Fooocus · Fast Fooocus SDXL · Image to Image API

> Fast SDXL Fooocus image-to-image that restyles a starting image from a prompt, up to 8 outputs

Starts from `image_url` and a required `prompt`, with `strength` from 0.05 to 1 controlling how closely the result follows the original. Supports `negative_prompt`, `num_inference_steps` up to 24, up to 8 images per request, optional embeddings, prompt expansion and a refiner pass. Output is JPEG or PNG.

- Model id: `fast-fooocus-sdxl/image-to-image`
- Made by: Stability AI
- Category: Text to Image
- Output: image
- Estimated price per run: $0.012 / image (cheapest run $0.012 (12 API credits))
- Run: `POST https://api.doitong.com/v1/run/fast-fooocus-sdxl/image-to-image`
- Quote: `POST https://api.doitong.com/v1/quote/fast-fooocus-sdxl/image-to-image`
- Docs page: https://doitong.com/developers/models/fast-fooocus-sdxl/image-to-image

## Pricing

Price: **$0.012 / 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 $0.012 = 12 API credits (1 image × 12 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/fast-fooocus-sdxl/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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | Starting image for generation, supplied by URL. |
| `prompt` |  | string | yes |  |  | Describe the image you want generated, using as much detail as possible to get the best results. |
| `negative_prompt` |  | string | no | `` |  | Negative prompt specifying unwanted image details. It can exclude colors, objects, scenery, or finer features and qualities, such as a moustache, blur, or low resolution. |
| `image_size` |  | object {height, width} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Output dimensions, inferred automatically from the prompt image unless a size is supplied. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 24 | Count of inference steps to run. |
| `guidance_scale` |  | number | no | `2` | 0 – 20 | Prompt-adherence strength for image selection, expressed as CFG (Classifier Free Guidance). |
| `strength` |  | number | no | `0.95` | 0.05 – 1 | Degree of resemblance between the generated image and the initial image. |
| `seed` |  | integer \| null | no |  |  | Seed for reproducing images in Stable Diffusion. An image can be reproduced exactly on every run by keeping the model version, prompt, and seed unchanged. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | Image count requested for generation. |
| `embeddings` |  | array of object {path, tokens} | no | `[]` |  | Embeddings selected for use, provided as a list. |
| `embeddings[].path` |  | string | yes |  |  | Embedding weights specified by URL or file path. |
| `embeddings[].tokens` |  | array of string \| null | no |  |  | Embedding token list, with automatic naming available when omitted: each vector in the embedding file receives a token from the sequence <s0>, <s1>, ... . |
| `enable_safety_checker` |  | boolean | no | `true` |  | Safety checker activation; true enables checking. |
| `safety_checker_version` |  | enum (string) | no | `v1` | `v1`, `v2` | Choose between a custom ViT safety checker (`v2`) and the CompVis checker (`v1`, the default). |
| `expand_prompt` |  | boolean | no | `true` |  | Prompt expansion with additional prompts, enabled when true. |
| `format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | File format for the resulting image. |
| `request_id` |  | string | no | `` |  | Request identifier for correlating a response with the request that produced it. |
| `preserve_aspect_ratio` |  | boolean | no | `false` |  | Set to true to retain the generated image's aspect ratio even when its size exceeds the limit. To obtain the correct proportions through cropping after generation, set crop_output to True. Width or height values not divisible by 32 are still rounded to the closest multiple of 32, and this resizing does not retain the aspect ratio by default. |
| `crop_output` |  | boolean | no | `false` |  | Crop the generated output to the correct aspect ratio when true. |
| `enable_refiner` |  | boolean | no | `true` |  | Post-processing refinement by a smaller model: true adds this step, in which the model attempts to improve the already-processed output. |

File parameters (`image`) 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.com/v1/run/fast-fooocus-sdxl/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.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/fast-fooocus-sdxl/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.com/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/fast-fooocus-sdxl/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.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": "fast-fooocus-sdxl/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": "fast-fooocus-sdxl/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": 12,
    "usd": "0.012",
    "charged": 12,
    "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.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, width, height, content_type} | File information for the generated images. |
| `timings` | object |  |
| `seed` | integer | Image-generation seed, including the randomly chosen value if the input omitted a seed; otherwise, it repeats the supplied value. |
| `has_nsfw_concepts` | array of boolean | Indicates whether NSFW concepts appear in the generated images. |
| `prompt` | string | Prompt used during image generation. |

## Related models

- [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
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image
- [Nano Banana Pro](https://doitong.com/developers/models/nano-banana-pro.md) (`nano-banana-pro`): from $0.15 / image

## Links

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