# Ideogram V3 Character Edit API

> संदर्भित कैरेक्टर की पहचान बनाए रखते हुए इमेज का Ideogram V3 मास्क किया हुआ संपादन

`mask_url` का उपयोग करके `image_url` के मास्क किए गए क्षेत्र में इनपेंटिंग करता है (दोनों के आयाम समान होने चाहिए), साथ में `prompt` और `reference_image_urls` में कैरेक्टर संदर्भ (1 इमेज का उपयोग) लेता है। मुद्रा, भाव-भंगिमा या कपड़े बदलने के लिए उपयोगी। वैकल्पिक स्टाइल संदर्भ, `rendering_speed` और अधिकतम 8 आउटपुट का समर्थन करता है।

- Model id: `ideogram/character/edit`
- Made by: Ideogram
- Category: Image Editing
- Output: image
- Price: from $0.10 / image (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.com/v1/run/ideogram/character/edit`
- Quote: `POST https://api.doitong.com/v1/quote/ideogram/character/edit`
- Docs page: https://doitong.com/hi/developers/models/ideogram/character/edit

## Pricing

Price: **from $0.10 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `rendering_speed` = BALANCED: $0.15 (150 API credits) / image
- When `rendering_speed` = QUALITY: $0.20 (200 API credits) / image

The full example input below costs $0.15 = 150 API credits (1 image × 150 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/ideogram/character/edit` 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 |
|---|---|---|---|---|---|---|
| `image_urls` | `images` | array of image URL \| null | no |  |  | JPEG, PNG या WebP फ़ॉर्मैट में शैली संदर्भ इमेज। इनका संयुक्त आकार 10 MB से अधिक नहीं होना चाहिए। |
| `rendering_speed` |  | enum (string) | no | `BALANCED` | `TURBO`, `BALANCED`, `QUALITY` | रेंडरिंग के लिए गति सेटिंग। |
| `color_palette` |  | object {members, name} \| null | no |  |  | निर्माण के दौरान उपयोग किया जाने वाला रंग पैलेट। `name` के माध्यम से कोई प्रीसेट या `members` के माध्यम से स्पष्ट हेक्साडेसिमल रंग निर्दिष्ट करें, और वैकल्पिक रूप से वेट शामिल करें। |
| `color_palette.members` |  | array of object {rgb, color_weight} \| null | no |  |  | पैलेट के रंगों को परिभाषित करने वाली पैलेट सदस्य सूची। |
| `color_palette.members[].rgb` |  | object {r, g, b} | yes |  |  | RGB के रूप में व्यक्त पैलेट सदस्य का रंग। |
| `color_palette.members[].color_weight` |  | number \| null | no | `0.5` | 0.05 – 1 | पैलेट में इस रंग को दिया गया वेट। |
| `color_palette.name` |  | enum (string) \| null | no |  | `EMBER`, `FRESH`, `JUNGLE`, `MAGIC`, `MELON`, `MOSAIC`, `PASTEL`, `ULTRAMARINE` | रंग पैलेट के लिए प्रीसेट चयन। |
| `style_codes` |  | array of string \| null | no |  |  | इमेज-शैली कोड, जिनमें से प्रत्येक 8 वर्णों की हेक्साडेसिमल स्ट्रिंग के रूप में दिया गया है; इस सूची का उपयोग करते समय style_reference_images और style दोनों छोड़ दें। |
| `expand_prompt` |  | boolean | no | `true` |  | अनुरोध निर्माण के लिए MagicPrompt उपयोग टॉगल। |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | बनाई जाने वाली इमेज की संख्या। |
| `seed` |  | integer \| null | no |  |  | रैंडम संख्या निर्माण के लिए seed मान। |
| `prompt` |  | string | yes |  |  | इमेज के मास्क किए गए क्षेत्र में भरने वाली सामग्री का वर्णन करने वाला प्रॉम्प्ट। |
| `image_url` | `image` | string (image URL) | yes |  |  | इमेज URL के रूप में दिया गया निर्माण स्रोत, जिसमें चौड़ाई और ऊँचाई दोनों का मास्क के संबंधित आयामों से बिल्कुल समान होना आवश्यक है। |
| `mask_url` | `mask` | string (image URL) | yes |  |  | URL के माध्यम से दिया गया इनपेंटिंग मास्क, जिसमें चौड़ाई और ऊँचाई दोनों का इनपुट इमेज के संबंधित आयामों से बिल्कुल समान होना आवश्यक है। |
| `reference_image_urls` |  | array of image URL | yes |  |  | JPEG, PNG या WebP फ़ॉर्मैट में चरित्र संदर्भ इमेज, जिनका सभी चरित्र संदर्भों में संयुक्त आकार 10 MB तक सीमित है। वर्तमान में समर्थन 1 इमेज तक सीमित है; अतिरिक्त इमेज अनदेखी कर दी जाती हैं। |
| `reference_mask_urls` |  | array of image URL | no |  |  | JPEG, PNG या WebP फ़ॉर्मैट में चरित्र-संदर्भ मास्क; सभी चरित्र संदर्भों का कुल आकार 10 MB से अधिक नहीं हो सकता। वर्तमान में केवल 1 मास्क का उपयोग किया जाता है और अतिरिक्त मास्क अनदेखे कर दिए जाते हैं। |

File parameters (`images`, `image`, `mask`, `reference_image_urls`, `reference_mask_urls`) 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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "mask": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "reference_image_urls": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "reference_image_urls": [
    "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/ideogram/character/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "reference_image_urls": [
      "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/ideogram/character/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "reference_image_urls": [
      "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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "reference_image_urls": [
        "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/ideogram/character/edit", 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": "ideogram/character/edit",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "reference_image_urls": [
          "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": "ideogram/character/edit",
  "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": 150,
    "usd": "0.15",
    "charged": 150,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mask_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "reference_image_urls": [
      "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
      }
    ],
    "seed": 42
  },
  "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} |  |
| `seed` | integer | रैंडम संख्या निर्माण के लिए उपयोग किया जाने वाला seed मान। |

## Related models

- [Ideogram V3 Character](https://doitong.com/developers/models/ideogram/character.md) (`ideogram/character`): from $0.10 / image
- [Ideogram V3 Character Remix](https://doitong.com/developers/models/ideogram/character/remix.md) (`ideogram/character/remix`): from $0.10 / 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
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image

## Links

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