# Fooocus API

> Text-to-image generator na may mga preset ng estilo, LoRA merging, opsyong refiner at mga control mode batay sa larawan

Bumubuo ng mga larawan mula sa prompt gamit ang Fooocus at default nitong stack ng estilo. Pumili ng `performance` mode (Speed, Quality, Extreme Speed, Lightning), magtakda ng `sharpness` at `aspect_ratio`, at humiling ng 1 hanggang 4 na larawan. Maaaring pagsamahin ang hanggang 5 LoRA, at sinusuportahan ng opsyonal na control larawan ang ImagePrompt, PyraCanny, CPDS o FaceSwap guidance. PNG, jpeg o webp ang output.

- Model id: `fooocus`
- Made by: Open model
- Category: Text to Image
- Output: image
- Estimated price per run: $0.444 / image (cheapest run $0.444 (444 API credits))
- Run: `POST https://api.doitong.ru/v1/run/fooocus`
- Quote: `POST https://api.doitong.ru/v1/quote/fooocus`
- Docs page: https://doitong.com/fil/developers/models/fooocus

## Pricing

Price: **$0.444 / 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 $0.444 = 444 API credits (1 image × 444 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/fooocus` 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 | no | `` |  | Ilarawan ang larawang gusto mong mabuo, gamit ang pinakamaraming posibleng detalye para sa pinakamagandang resulta. |
| `negative_prompt` |  | string | no | `` |  | Negative prompt na tumutukoy sa mga detalyeng dapat alisin sa larawan, kabilang ang mga kulay, bagay, tanawin, o maliliit na feature. Kabilang sa mga halimbawa ang bigote, blur, o mababang resolution. |
| `styles` |  | array of enum (string) | no | `["Fooocus Enhance","Fooocus Sharp","Fooocus V2"]` |  | Style na inilalapat sa pagbuo. |
| `performance` |  | enum (string) | no | `Extreme Speed` | `Speed`, `Quality`, `Extreme Speed`, `Lightning` | Pagpili sa performance: Speed o Quality. |
| `guidance_scale` |  | number | no | `4` | 1 – 30 | Lakas ng pagsunod sa prompt para sa pagpili ng larawan, na ipinapahayag bilang CFG (Classifier Free Guidance). |
| `sharpness` |  | number | no | `2` | 0 – 30 | Setting ng sharpness para sa output na larawan. Kapag tinaasan, mas nagiging matalas ang larawan at mga texture nito. |
| `aspect_ratio` |  | string | no | `1024x1024` |  | Mga dimensyon ng output na larawan, pinipili mula sa preset o tinutukoy bilang custom na width at height. Kailangang divisible by 8 ang parehong custom na dimensyon. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Bilang ng larawang bubuuin bawat kahilingan. |
| `loras` |  | array of object {path, scale} | no | `[{"path":"https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors","scale":0.1}]` |  | Pagpili ng LoRA na pinagsasama para sa final na pagbuo ng larawan, hanggang 5 LoRA. |
| `loras[].path` |  | string | yes |  |  | Lokasyon ng LoRA weights, na tinutukoy bilang URL o path. |
| `loras[].scale` |  | number | no | `0.1` | 0 – 1 | Multiplier na inilalapat sa LoRA weight bago ito i-merge sa base modelo. |
| `refiner_model` |  | enum (string) | no | `None` | `None`, `realisticVisionV60B1_v51VAE.safetensors` | Pagpili ng refiner: SDXL o SD 1.5. |
| `refiner_switch` |  | number | no | `0.8` | 0 – 1 | Halaga para sa paglipat sa refiner: gamitin ang 0.4 sa mga makatotohanang modelo ng SD1.5, 0.667 sa mga anime na modelo ng SD1.5, at 0.8 sa XL-refiners. Maaaring gumamit ng anumang halaga kapag lumilipat sa pagitan ng dalawang modelo ng SDXL. |
| `output_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg`, `webp` | File format ng resultang larawan. |
| `seed` |  | integer \| null | no |  |  | Seed para muling makabuo ng mga larawan sa Stable Diffusion. Eksaktong mauulit ang isang larawan sa bawat run kung hindi babaguhin ang bersyon ng modelo, prompt, at seed. |
| `control_image_url` |  | string (image URL) \| null | no |  |  | Reference na larawan na gumagabay sa pagbuo ng larawan. |
| `control_type` |  | enum (string) | no | `PyraCanny` | `ImagePrompt`, `PyraCanny`, `CPDS`, `FaceSwap` | Paraan ng pagkontrol sa larawan. |
| `control_image_weight` |  | number | no | `1` | 0 – 2 | Lakas ng larawang pangkontrol, na nagtatakda kung gaano kahawig ng output ang larawang pangkontrol. |
| `control_image_stop_at` |  | number | no | `1` | 0 – 1 | Halaga ng paghinto sa paggamit ng larawang pangkontrol, na namamahala kung gaano kahawig ng output ang larawang pangkontrol. |
| `inpaint_image_url` |  | string (image URL) \| null | no |  |  | Reference na larawan na ginagamit sa inpainting. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Larawang mask na inilalapat habang bumubuo ng larawan. |
| `mixing_image_prompt_and_inpaint` |  | boolean | no | `false` |  |  |
| `enable_safety_checker` |  | boolean | no | `true` |  | Toggle ng safety checker: hindi pinapagana ng false ang checking kung awtorisado ang account. Palaging sinusuri ang mga kahilingang walang awtorisasyong iyon, at pinapalitan ng itim na larawan ang unsafe na mga larawan. |

File parameters (`control_image_url`, `inpaint_image_url`, `mask_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
{}
```

A fuller example:

```json
{
  "prompt": ""
}
```

## 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/fooocus?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": ""
  }'

# 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/fooocus?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": ""
  }),
});
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 = {
    "prompt": "",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/fooocus", 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": "fooocus",
      "input": {
        "prompt": ""
      },
      "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": "fooocus",
  "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": 444,
    "usd": "0.444",
    "charged": 444,
    "refunded": 0
  },
  "input": {
    "prompt": ""
  },
  "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
      }
    ],
    "timings": {},
    "has_nsfw_concepts": [
      false
    ]
  },
  "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, content_type, file_name, file_size, width, height} | Impormasyon ng file para sa nabuong larawan. |
| `timings` | object | Lumipas na oras para sa pagbuo. |
| `has_nsfw_concepts` | array of boolean | Nagsasaad kung may mga konseptong NSFW sa nabuong mga larawan. |

## Related models

- [Fooocus Image Prompt](https://doitong.com/developers/models/fooocus/image-prompt.md) (`fooocus/image-prompt`): $0.085 / image
- [Fooocus Inpainting](https://doitong.com/developers/models/fooocus/inpaint.md) (`fooocus/inpaint`): $0.055 / image
- [Fooocus Upscale or Vary](https://doitong.com/developers/models/fooocus/upscale-or-vary.md) (`fooocus/upscale-or-vary`): $0.007 / image
- [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

## Links

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