# GLM Image API

> مدل متن‌به‌تصویر با گسترش پرامپت، گام‌ها و هدایت قابل تنظیم و حداکثر 4 تصویر در هر فراخوانی

از یک پرامپت متنی تصویر تولید می‌کند و بر رندر دقیق متن تمرکز دارد. می‌توانید `image_size` را از میان ده پیش‌تنظیم، `num_inference_steps` را از 10 تا 100 و `guidance_scale` را از 1 تا 10 تنظیم کنید و `seed` بدهید. در هر درخواست حداکثر 4 تصویر با خروجی jpeg یا png تولید می‌شود. گسترش اختیاری پرامپت، آن را با یک LLM بازنویسی می‌کند.

- Model id: `glm-image`
- Made by: Zhipu AI
- Category: Text to Image
- Output: image
- Estimated price per run: $0.05 / image (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.com/v1/run/glm-image`
- Quote: `POST https://api.doitong.com/v1/quote/glm-image`
- Docs page: https://doitong.com/fa/developers/models/glm-image

## Pricing

Price: **$0.05 / 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 $0.05 = 50 API credits (1 image × 50 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/glm-image` 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 | yes |  |  | دستورهای متنی برای هدایت تولید تصویر. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `portrait_3_2`, `landscape_3_2`, `portrait_hd`, `landscape_hd` | ابعاد تصویر خروجی. |
| `num_inference_steps` |  | integer | no | `30` | 10 – 100 | کنترل کیفیت تصویر، به‌صورت تعداد گام‌های حذف نویز diffusion؛ گام‌های بیشتر معمولاً نتایج را بهبود می‌دهند. |
| `guidance_scale` |  | number | no | `1.5` | 1 – 10 | پایبندی به پرامپت که از طریق classifier-free guidance کنترل می‌شود: افزایش این مقیاس باعث می‌شود تولید بیشتر با پرامپت مطابقت داشته باشد. |
| `seed` |  | integer \| null | no |  |  | seed تصادفی برای تصاویر تکرارپذیر: برای بازتولید تصویر، هم پرامپت و هم seed آن را دوباره استفاده کنید. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | تعداد تصاویری که باید تولید شوند. |
| `enable_safety_checker` |  | boolean | no | `true` |  | کنترل بررسی NSFW برای تصاویر تولیدشده؛ هر تصویر ناایمن با تصویر سیاه جایگزین می‌شود. فقط حساب‌های مجاز می‌توانند بررسی را غیرفعال کنند؛ بنابراین درخواست‌های فاقد این مجوز، صرف‌نظر از این تنظیم بررسی می‌شوند. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | قالب تصویر حاصل. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | گسترش پرامپت مبتنی بر LLM که با True فعال می‌شود تا جزئیات و کیفیت نتایج تولیدشده را بهبود دهد. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/glm-image?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"
  }'

# 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/glm-image?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"
  }),
});
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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/glm-image", 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": "glm-image",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "glm-image",
  "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": 50,
    "usd": "0.05",
    "charged": 50,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string"
  },
  "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, width, height, content_type} | فهرست شامل URL تصاویر تولیدشده. |
| `timings` | object |  |
| `seed` | integer | Seed تولید تصویر، شامل مقدار تصادفی انتخاب‌شده در صورت حذف Seed از ورودی؛ در غیر این صورت، مقدار ارائه‌شده را تکرار می‌کند. |
| `has_nsfw_concepts` | array of boolean | مشخص می‌کند مفاهیم NSFW در تصاویر تولیدشده ظاهر می‌شوند یا خیر. |
| `prompt` | string | پرامپت استفاده‌شده هنگام تولید تصویر. |

## Related models

- [Glm Image · Image to Image](https://doitong.com/developers/models/glm-image/image-to-image.md) (`glm-image/image-to-image`): $0.05 / 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
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

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