# Fooocus Inpainting API

> Melakukan inpaint atau outpaint pada gambar dengan mask opsional, serta mode untuk perbaikan detail atau perubahan konten

Mengedit gambar yang sudah ada dengan membuat ulang area bertopeng atau memperluas tepinya. Berikan `inpaint_image_url` dan, secara opsional, `mask_image_url`, lalu pilih `inpaint_mode`: inpaint/outpaint biasa, peningkatan detail, atau modifikasi konten. Model juga menerima LoRA, hingga empat prompt gambar, pilihan refiner, dan 1 hingga 4 output per permintaan dalam png, jpeg atau webp. Pengaturan Strength dan respective-field memungkinkan kontrol lebih halus atas besarnya perubahan.

- Model id: `fooocus/inpaint`
- Made by: Open model
- Category: Image Editing
- Output: image
- Estimated price per run: $0.055 / image (cheapest run $0.055 (55 API credits))
- Run: `POST https://api.doitong.com/v1/run/fooocus/inpaint`
- Quote: `POST https://api.doitong.com/v1/quote/fooocus/inpaint`
- Docs page: https://doitong.com/id/developers/models/fooocus/inpaint

## Pricing

Price: **$0.055 / 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 $0.055 = 55 API credits (1 image × 55 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/inpaint` 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 | `` |  | Jelaskan gambar yang ingin dibuat sedetail mungkin untuk memperoleh hasil terbaik. |
| `negative_prompt` |  | string | no | `` |  | Negative prompt yang menentukan detail gambar untuk dikecualikan, termasuk warna, objek, pemandangan, atau fitur yang lebih halus. Contohnya kumis, buram, atau resolusi rendah. |
| `styles` |  | array of enum (string) | no | `["Fooocus Enhance","Fooocus Sharp","Fooocus V2"]` |  | Gaya yang diterapkan selama pembuatan. |
| `performance` |  | enum (string) | no | `Extreme Speed` | `Speed`, `Quality`, `Extreme Speed`, `Lightning` | Pilihan performa: Speed atau Quality. |
| `guidance_scale` |  | number | no | `4` | 1 – 30 | Kekuatan kepatuhan terhadap prompt untuk pemilihan gambar, dinyatakan sebagai CFG (Classifier Free Guidance). |
| `sharpness` |  | number | no | `2` | 0 – 30 | Pengaturan ketajaman untuk gambar output. Meningkatkannya membuat gambar dan teksturnya lebih tajam. |
| `aspect_ratio` |  | string | no | `1024x1024` |  | Dimensi gambar output, dipilih dari preset atau ditentukan sebagai lebar dan tinggi kustom. Kedua dimensi kustom harus habis dibagi 8. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Jumlah gambar yang dibuat per permintaan. |
| `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}]` |  | Pilihan LoRA yang digabungkan untuk pembuatan gambar akhir, maksimal 5 LoRA. |
| `loras[].path` |  | string | yes |  |  | Lokasi bobot LoRA, yang ditentukan sebagai URL atau path. |
| `loras[].scale` |  | number | no | `0.1` | 0 – 1 | Pengali yang diterapkan pada bobot LoRA sebelum digabungkan ke model dasar. |
| `refiner_model` |  | enum (string) | no | `None` | `None`, `realisticVisionV60B1_v51VAE.safetensors` | Pilihan refiner: SDXL atau SD 1.5. |
| `refiner_switch` |  | number | no | `0.8` | 0 – 1 | Nilai pengalihan refiner: gunakan 0.4 dengan model SD1.5 realistis, 0.667 dengan model SD1.5 anime, dan 0.8 dengan XL-refiners. Peralihan antara dua model SDXL mengizinkan nilai apa pun. |
| `output_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg`, `webp` | Format file untuk gambar hasil. |
| `seed` |  | integer \| null | no |  |  | Seed untuk mereproduksi gambar dalam Stable Diffusion. Gambar dapat direproduksi secara persis pada setiap proses dengan mempertahankan versi model, prompt, dan seed. |
| `inpaint_image_url` |  | string (image URL) | yes |  |  | Gambar referensi yang digunakan selama inpainting. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Gambar mask yang diterapkan selama pembuatan gambar. |
| `inpaint_mode` |  | enum (string) | no | `Inpaint or Outpaint (default)` | `Inpaint or Outpaint (default)`, `Improve Detail (face, hand, eyes, etc.)`, `Modify Content (add objects, change background, etc.)` | Mode yang diterapkan selama inpainting. |
| `inpaint_additional_prompt` |  | string | no | `` |  | Deskripsi konten inpainting yang diinginkan. |
| `outpaint_selections` |  | array of enum (string) | no | `[]` |  | Arah yang digunakan outpainting untuk memperluas gambar. |
| `override_inpaint_options` |  | boolean | no | `false` |  | Sakelar penggantian untuk pengaturan inpainting lanjutan: `inpaint_disable_initial_latent`, `inpaint_engine`, `inpaint_strength`, `inpaint_respective_field`, dan `inpaint_erode_or_dilate`. Jika disetel ke true, opsi ini diganti; jika tidak, nilai bawaannya berlaku. |
| `inpaint_disable_initial_latent` |  | boolean | no | `false` |  | Sakelar prapemrosesan awal: true menonaktifkan prapemrosesan tersebut. |
| `inpaint_engine` |  | enum (string) | no | `v2.6` | `None`, `v1`, `v2.5`, `v2.6` | Versi model untuk inpainting Fooocus. |
| `inpaint_strength` |  | number | no | `1` | ≤ 1, > 0 | Kekuatan denoise untuk inpainting, setara dengan pengaturan inpaint A1111. Ini tidak berlaku untuk outpainting, yang selalu menggunakan 1.0. |
| `inpaint_respective_field` |  | number | no | `0.618` | 0 – 1 | Pilih area untuk inpainting menggunakan padanan A1111: "Only Masked" sesuai dengan 0, dan "Whole Image" sesuai dengan 1. Outpainting mengabaikan pengaturan ini dan selalu menggunakan 1.0. |
| `inpaint_erode_or_dilate` |  | number | no | `0` | -64 – 64 | Sesuaikan area putih mask sebelum pembalikan apa pun, dengan nilai bawaan 0. Gunakan nilai positif untuk memperluas area tersebut atau nilai negatif untuk mempersempitnya. |
| `invert_mask` |  | boolean | no | `false` |  | Sakelar pembalikan mask; true membalikkan mask. |
| `image_prompt_1` |  | object {type, image_url, stop_at, weight} | no |  |  |  |
| `image_prompt_1.type` |  | enum (string) | no | `ImagePrompt` | `ImagePrompt`, `PyraCanny`, `CPDS`, `FaceSwap` |  |
| `image_prompt_1.image_url` |  | string (image URL) \| null | no |  |  |  |
| `image_prompt_1.stop_at` |  | number | no | `0.5` | 0 – 1 |  |
| `image_prompt_1.weight` |  | number | no | `1` | 0 – 2 |  |
| `image_prompt_2` |  | object {type, image_url, stop_at, weight} | no |  |  |  |
| `image_prompt_2.type` |  | enum (string) | no | `ImagePrompt` | `ImagePrompt`, `PyraCanny`, `CPDS`, `FaceSwap` |  |
| `image_prompt_2.image_url` |  | string (image URL) \| null | no |  |  |  |
| `image_prompt_2.stop_at` |  | number | no | `0.5` | 0 – 1 |  |
| `image_prompt_2.weight` |  | number | no | `1` | 0 – 2 |  |
| `image_prompt_3` |  | object {type, image_url, stop_at, weight} | no |  |  |  |
| `image_prompt_3.type` |  | enum (string) | no | `ImagePrompt` | `ImagePrompt`, `PyraCanny`, `CPDS`, `FaceSwap` |  |
| `image_prompt_3.image_url` |  | string (image URL) \| null | no |  |  |  |
| `image_prompt_3.stop_at` |  | number | no | `0.5` | 0 – 1 |  |
| `image_prompt_3.weight` |  | number | no | `1` | 0 – 2 |  |
| `image_prompt_4` |  | object {type, image_url, stop_at, weight} | no |  |  |  |
| `image_prompt_4.type` |  | enum (string) | no | `ImagePrompt` | `ImagePrompt`, `PyraCanny`, `CPDS`, `FaceSwap` |  |
| `image_prompt_4.image_url` |  | string (image URL) \| null | no |  |  |  |
| `image_prompt_4.stop_at` |  | number | no | `0.5` | 0 – 1 |  |
| `image_prompt_4.weight` |  | number | no | `1` | 0 – 2 |  |
| `mixing_image_prompt_and_inpaint` |  | boolean | no | `false` |  | Menggabungkan prompt gambar dengan inpainting. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Sakelar pemeriksa keamanan; mengaturnya ke false menonaktifkan pemeriksaan. |

File parameters (`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
{
  "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/inpaint?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/inpaint?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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 = {
    "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/fooocus/inpaint", 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/inpaint",
      "input": {
        "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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/inpaint",
  "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": 55,
    "usd": "0.055",
    "charged": 55,
    "refunded": 0
  },
  "input": {
    "inpaint_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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} | Informasi file untuk gambar yang dihasilkan. |
| `timings` | object | Waktu yang telah berlalu untuk pembuatan. |
| `has_nsfw_concepts` | array of boolean | Menunjukkan apakah konsep NSFW muncul dalam gambar yang dihasilkan. |

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## Links

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