# Fooocus Inpainting API

> Effectue un remplissage ou une extension d’image avec masque facultatif, et des modes pour corriger les détails ou modifier le contenu

Modifie une image existante en régénérant une région masquée ou en étendant ses bordures. Fournissez `inpaint_image_url` et, facultativement, `mask_image_url`, puis choisissez un `inpaint_mode`: remplissage/extension simple, amélioration des détails ou modification du contenu. Accepte aussi les LoRAs, jusqu’à quatre invites d’image, un choix de raffineur et 1 à 4 sorties par requête en png, jpeg ou webp. Les paramètres Strength et respectifs permettent de contrôler plus finement l’ampleur des changements.

- 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/fr-CA/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 | `` |  | Décrivez l’image que vous souhaitez générer avec le plus de détails possible pour obtenir les meilleurs résultats. |
| `negative_prompt` |  | string | no | `` |  | Invite négative indiquant les détails d’image à exclure, notamment les couleurs, les objets, le décor ou les caractéristiques plus fines. Exemples : une moustache, du flou ou une faible résolution. |
| `styles` |  | array of enum (string) | no | `["Fooocus Enhance","Fooocus Sharp","Fooocus V2"]` |  | Style appliqué pendant la génération. |
| `performance` |  | enum (string) | no | `Extreme Speed` | `Speed`, `Quality`, `Extreme Speed`, `Lightning` | Choix de performance : Speed ou Quality. |
| `guidance_scale` |  | number | no | `4` | 1 – 30 | Intensité d’adhésion à l’invite pour la sélection d’images, exprimée comme CFG (Classifier Free Guidance). |
| `sharpness` |  | number | no | `2` | 0 – 30 | Réglage de netteté de l’image de sortie. L’augmenter rend l’image et ses textures plus nettes. |
| `aspect_ratio` |  | string | no | `1024x1024` |  | Dimensions de l’image de sortie, sélectionnées parmi des préréglages ou définies par une largeur et une hauteur personnalisées. Les deux dimensions personnalisées doivent être divisibles par 8. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Nombre d’images à générer par requête. |
| `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}]` |  | Sélection de LoRA fusionnée pour la génération finale de l’image, limitée à 5 LoRA. |
| `loras[].path` |  | string | yes |  |  | Emplacement des poids LoRA, indiqué par une URL ou un chemin. |
| `loras[].scale` |  | number | no | `0.1` | 0 – 1 | Multiplicateur appliqué au poids LoRA avant sa fusion avec le modèle de base. |
| `refiner_model` |  | enum (string) | no | `None` | `None`, `realisticVisionV60B1_v51VAE.safetensors` | Sélection du raffineur : SDXL ou SD 1.5. |
| `refiner_switch` |  | number | no | `0.8` | 0 – 1 | Valeur de basculement du raffineur : utilisez 0.4 avec les modèles SD1.5 réalistes, 0.667 avec les modèles SD1.5 anime et 0.8 avec les raffineurs XL. Le basculement entre deux modèles SDXL accepte toute valeur. |
| `output_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg`, `webp` | Format de fichier de l’image obtenue. |
| `seed` |  | integer \| null | no |  |  | Graine pour reproduire des images dans Stable Diffusion. Une image peut être reproduite exactement à chaque exécution en conservant la version du modèle, l’invite et la graine inchangées. |
| `inpaint_image_url` |  | string (image URL) | yes |  |  | Image de référence utilisée pendant l’inpainting. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Image de masque appliquée pendant la génération d’image. |
| `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 appliqué pendant l’inpainting. |
| `inpaint_additional_prompt` |  | string | no | `` |  | Description du contenu d’inpainting souhaité. |
| `outpaint_selections` |  | array of enum (string) | no | `[]` |  | Directions dans lesquelles l’outpainting étend l’image. |
| `override_inpaint_options` |  | boolean | no | `false` |  | Activation de remplacement des réglages avancés d’inpainting : `inpaint_disable_initial_latent`, `inpaint_engine`, `inpaint_strength`, `inpaint_respective_field` et `inpaint_erode_or_dilate`. La valeur true remplace ces options; sinon, leurs valeurs par défaut s’appliquent. |
| `inpaint_disable_initial_latent` |  | boolean | no | `false` |  | Activation du prétraitement initial : true désactive ce prétraitement. |
| `inpaint_engine` |  | enum (string) | no | `v2.6` | `None`, `v1`, `v2.5`, `v2.6` | Version du modèle pour l’inpainting Fooocus. |
| `inpaint_strength` |  | number | no | `1` | ≤ 1, > 0 | Force de débruitage pour l’inpainting, équivalente au réglage d’inpaint d’A1111. Elle ne s’applique pas à l’outpainting, qui utilise toujours 1.0. |
| `inpaint_respective_field` |  | number | no | `0.618` | 0 – 1 | Sélection de la zone d’inpainting à l’aide des équivalents d’A1111 : "Only Masked" correspond à 0 et "Whole Image" correspond à 1. L’outpainting ignore ce réglage et utilise toujours 1.0. |
| `inpaint_erode_or_dilate` |  | number | no | `0` | -64 – 64 | Ajustement de la zone blanche du masque avant toute inversion, avec une valeur par défaut de 0. Utilisez des valeurs positives pour l’agrandir ou des valeurs négatives pour la réduire. |
| `invert_mask` |  | boolean | no | `false` |  | Activation de l’inversion du masque; true inverse le masque. |
| `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` |  | Combine l’invite d’image avec la retouche localisée. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Commutateur du vérificateur de sécurité; le régler à false désactive la vérification. |

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} | Informations sur le fichier de l’image générée. |
| `timings` | object | Temps écoulé pour la génération. |
| `has_nsfw_concepts` | array of boolean | Indique si des concepts NSFW apparaissent dans les images générées. |

## 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.com/v1/models/fooocus/inpaint