# Fooocus API

> Kizalisha maandishi-hadi-picha chenye mipangilio ya mitindo, muunganiko wa LoRA, chaguo la refiner na hali za udhibiti zinazotegemea picha

Hutengeneza picha kutoka kwa kidokezo kwa kutumia Fooocus na mkusanyiko wake wa mitindo chaguomsingi. Chagua hali ya `performance` (Speed, Quality, Extreme Speed, Lightning), weka `sharpness` na `aspect_ratio`, na omba picha 1 hadi 4. Hadi LoRA 5 zinaweza kuunganishwa, na picha ya udhibiti ya hiari inaunga mkono mwongozo wa ImagePrompt, PyraCanny, CPDS au FaceSwap. Tokeo ni png, jpeg au webp.

- 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.com/v1/run/fooocus`
- Quote: `POST https://api.doitong.com/v1/quote/fooocus`
- Docs page: https://doitong.com/sw/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.com/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 | `` |  | Eleza picha unayotaka kuzalisha kwa maelezo mengi iwezekanavyo ili kupata matokeo bora. |
| `negative_prompt` |  | string | no | `` |  | Kidokezo hasi kinachobainisha maelezo ya picha ya kuondoa, yakiwemo rangi, vitu, mandhari au vipengele vidogo. Mifano ni masharubu, ukungu au mwonekano wa chini. |
| `styles` |  | array of enum (string) | no | `["Fooocus Enhance","Fooocus Sharp","Fooocus V2"]` |  | Mtindo unaotumika wakati wa uzalishaji. |
| `performance` |  | enum (string) | no | `Extreme Speed` | `Speed`, `Quality`, `Extreme Speed`, `Lightning` | Chaguo la utendaji: Speed au Quality. |
| `guidance_scale` |  | number | no | `4` | 1 – 30 | Nguvu ya kufuata kidokezo kwa uteuzi wa picha, iliyoonyeshwa kama CFG (Classifier Free Guidance). |
| `sharpness` |  | number | no | `2` | 0 – 30 | Mipangilio ya ukali wa picha ya tokeo. Kuiongeza hufanya picha na maumbo yake kuwa makali zaidi. |
| `aspect_ratio` |  | string | no | `1024x1024` |  | Vipimo vya picha ya tokeo, huchaguliwa kutoka kwenye mipangilio iliyowekwa au kubainishwa kama upana na urefu maalum. Vipimo vyote maalum lazima vigawanyike kwa 8. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Idadi ya picha za kuzalisha kwa kila ombi. |
| `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}]` |  | Uteuzi wa LoRA uliounganishwa kwa ajili ya uzalishaji wa mwisho wa picha, ukiwa na kikomo cha LoRA 5. |
| `loras[].path` |  | string | yes |  |  | Mahali pa uzani wa LoRA, palipobainishwa kama URL au njia. |
| `loras[].scale` |  | number | no | `0.1` | 0 – 1 | Kizidishi kinachotumika kwenye uzito wa LoRA kabla ya kuunganishwa na modeli msingi. |
| `refiner_model` |  | enum (string) | no | `None` | `None`, `realisticVisionV60B1_v51VAE.safetensors` | Uteuzi wa refiner: SDXL au SD 1.5. |
| `refiner_switch` |  | number | no | `0.8` | 0 – 1 | Thamani ya kubadilisha refiner: tumia 0.4 kwa modeli halisi za SD1.5, 0.667 kwa modeli za anime za SD1.5, na 0.8 kwa XL-refiners. Kubadilisha kati ya modeli mbili za SDXL huruhusu thamani yoyote. |
| `output_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg`, `webp` | Muundo wa faili wa picha inayotokana. |
| `seed` |  | integer \| null | no |  |  | Mbegu ya kurudia picha katika Stable Diffusion. Picha inaweza kurudiwa kwa usahihi kila uendeshaji kwa kuweka toleo la modeli, kidokezo na mbegu bila kubadilika. |
| `control_image_url` |  | string (image URL) \| null | no |  |  | Picha ya marejeleo inayoongoza uzalishaji wa picha. |
| `control_type` |  | enum (string) | no | `PyraCanny` | `ImagePrompt`, `PyraCanny`, `CPDS`, `FaceSwap` | Mbinu ya kudhibiti picha. |
| `control_image_weight` |  | number | no | `1` | 0 – 2 | Nguvu ya picha ya udhibiti, inayobainisha kiwango cha ufanano kati ya tokeo na picha ya udhibiti. |
| `control_image_stop_at` |  | number | no | `1` | 0 – 1 | Thamani ya kusitisha picha ya udhibiti, inayobainisha jinsi tokeo linavyofanana kwa karibu na picha ya udhibiti. |
| `inpaint_image_url` |  | string (image URL) \| null | no |  |  | Picha ya marejeleo inayotumika wakati wa inpainting. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Picha ya maski inayotumika wakati wa uzalishaji wa picha. |
| `mixing_image_prompt_and_inpaint` |  | boolean | no | `false` |  |  |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kigeuzi cha kikagua usalama: false huzima ukaguzi tu kwa idhini ya akaunti. Maombi bila idhini hiyo hukaguliwa kila wakati, na picha zisizo salama hubadilishwa kuwa picha nyeusi. |

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.com/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.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/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.com/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.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": "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.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} | Maelezo ya faili ya picha iliyozalishwa. |
| `timings` | object | Muda uliopita wa uzalishaji. |
| `has_nsfw_concepts` | array of boolean | Huonyesha ikiwa dhana za NSFW zinaonekana katika picha zilizozalishwa. |

## 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.com/v1/models/fooocus