# Fooocus Inpainting API

> Utför inpainting eller outpainting på en bild med en valfri mask, med lägen för detaljfixar eller innehållsändringar

Redigerar en befintlig bild genom att generera om ett maskat område eller utöka dess kanter. Ange `inpaint_image_url` och valfritt `mask_image_url`, och välj sedan ett `inpaint_mode`: vanlig inpaint/outpaint, detaljförbättring eller innehållsmodifiering. Den accepterar även LoRAs, upp till fyra bildprompter, ett refiner-val och 1 till 4 utdata per begäran i png, jpeg eller webp. Inställningar för strength och respektive fält ger finare kontroll över hur mycket som ändras.

- 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.ru/v1/run/fooocus/inpaint`
- Quote: `POST https://api.doitong.ru/v1/quote/fooocus/inpaint`
- Docs page: https://doitong.com/sv/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.ru/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 | `` |  | Beskriv bilden du vill generera med så mycket detalj som möjligt för bästa resultat. |
| `negative_prompt` |  | string | no | `` |  | Negativ prompt som anger bilddetaljer som ska uteslutas, inklusive färger, objekt, miljöer eller finare egenskaper. Exempel är mustasch, oskärpa eller låg upplösning. |
| `styles` |  | array of enum (string) | no | `["Fooocus Enhance","Fooocus Sharp","Fooocus V2"]` |  | Stil som används under generering. |
| `performance` |  | enum (string) | no | `Extreme Speed` | `Speed`, `Quality`, `Extreme Speed`, `Lightning` | Prestandaval: Speed eller Quality. |
| `guidance_scale` |  | number | no | `4` | 1 – 30 | Styrka för promptföljsamhet vid bildval, uttryckt som CFG (Classifier Free Guidance). |
| `sharpness` |  | number | no | `2` | 0 – 30 | Skärpeinställning för utdata-bilden. Ett högre värde gör både bilden och dess texturer skarpare. |
| `aspect_ratio` |  | string | no | `1024x1024` |  | Utdata-bildens mått, valda från förinställningar eller angivna som anpassad bredd och höjd. Båda anpassade måtten måste vara delbara med 8. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Antal bilder som ska genereras per begäran. |
| `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}]` |  | LoRA-val som slås samman för den slutliga bildgenereringen, begränsat till 5 LoRAs. |
| `loras[].path` |  | string | yes |  |  | Plats för LoRA-vikterna, angiven som en URL eller sökväg. |
| `loras[].scale` |  | number | no | `0.1` | 0 – 1 | Multiplikator som tillämpas på LoRA-vikten innan den slås samman med basmodellen. |
| `refiner_model` |  | enum (string) | no | `None` | `None`, `realisticVisionV60B1_v51VAE.safetensors` | Val av förfinare: SDXL eller SD 1.5. |
| `refiner_switch` |  | number | no | `0.8` | 0 – 1 | Växlingsvärde för förfinaren: använd 0.4 med realistiska SD1.5-modeller, 0.667 med anime-SD1.5-modeller och 0.8 med XL-refiners. Vid växling mellan två SDXL-modeller kan valfritt värde användas. |
| `output_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg`, `webp` | Filformat för den resulterande bilden. |
| `seed` |  | integer \| null | no |  |  | Startvärde för att återskapa bilder i Stable Diffusion. En bild kan återskapas exakt vid varje körning genom att lämna modellversion, prompt och startvärde oförändrade. |
| `inpaint_image_url` |  | string (image URL) | yes |  |  | Referensbild som används vid inpainting. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Maskbild som används under bildgenereringen. |
| `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.)` | Läge som används vid inpainting. |
| `inpaint_additional_prompt` |  | string | no | `` |  | Beskrivning av önskat inpainting-innehåll. |
| `outpaint_selections` |  | array of enum (string) | no | `[]` |  | Riktningar där outpainting utökar bilden. |
| `override_inpaint_options` |  | boolean | no | `false` |  | Åsidosättningsväxel för avancerade inpainting-inställningar: `inpaint_disable_initial_latent`, `inpaint_engine`, `inpaint_strength`, `inpaint_respective_field` och `inpaint_erode_or_dilate`. Om den sätts till true åsidosätts dessa alternativ; annars används deras standardvärden. |
| `inpaint_disable_initial_latent` |  | boolean | no | `false` |  | Växel för inledande förbehandling: true inaktiverar förbehandlingen. |
| `inpaint_engine` |  | enum (string) | no | `v2.6` | `None`, `v1`, `v2.5`, `v2.6` | Modellversion för Fooocus-inpainting. |
| `inpaint_strength` |  | number | no | `1` | ≤ 1, > 0 | Avbrusningsstyrka för inpainting, motsvarande A1111:s inpaint-inställning. Gäller inte outpainting, som alltid använder 1.0. |
| `inpaint_respective_field` |  | number | no | `0.618` | 0 – 1 | Välj område för inpainting med A1111:s motsvarigheter: "Only Masked" motsvarar 0 och "Whole Image" motsvarar 1. Outpainting ignorerar denna inställning och använder alltid 1.0. |
| `inpaint_erode_or_dilate` |  | number | no | `0` | -64 – 64 | Justera maskens vita område före eventuell invertering, med standardvärdet 0. Använd positiva värden för att utöka området och negativa för att minska det. |
| `invert_mask` |  | boolean | no | `false` |  | Växel för maskinvertering; true vänder masken. |
| `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` |  | Kombinerar bildprompt med bildifyllnad. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Omkopplare för säkerhetskontroll; om den sätts till false inaktiveras kontrollen. |

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.ru/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.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/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.ru/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.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/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.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} | Filinformation för den genererade bilden. |
| `timings` | object | Förfluten tid för genereringen. |
| `has_nsfw_concepts` | array of boolean | Anger om NSFW-koncept förekommer i de genererade bilderna. |

## Related models

- [Fooocus](https://doitong.com/developers/models/fooocus.md) (`fooocus`): $0.444 / image
- [Fooocus Image Prompt](https://doitong.com/developers/models/fooocus/image-prompt.md) (`fooocus/image-prompt`): $0.085 / image
- [Fooocus Upscale or Vary](https://doitong.com/developers/models/fooocus/upscale-or-vary.md) (`fooocus/upscale-or-vary`): $0.007 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [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

## 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.ru/v1/models/fooocus/inpaint