# Luma Ray 3.2 Image to Video API

> শেষ ফ্রেম বা সর্বাধিক 64টি কীফ্রেমসহ Ray 3.2 image-to-video, লুপিং এবং ঐচ্ছিক HDR/EXR আউটপুটসহ

প্রথম ফ্রেম হিসেবে `image_url` অ্যানিমেট করে, ঐচ্ছিকভাবে `end_image_url`-সহ, অথবা তার বদলে `keyframes` ও `keyframe_indexes` (1 থেকে 64) ব্যবহার করে। অ্যাসপেক্ট রেশিও 3:4 থেকে 21:9, রেজোলিউশন 540p, 720p বা 1080p এবং `duration` 5s বা 10s; 10s-এর জন্য কীফ্রেম প্রয়োজন। নির্দিষ্ট শর্তে `loop`, `hdr` এবং `exr_export` ব্যবহার করা যায়। প্রম্পটের সীমা 6000 অক্ষর।

- Model id: `luma/agent/ray/v3.2/image-to-video`
- Made by: Luma AI
- Category: Image to Video
- Output: video
- Price: from $0.03 / second (5 s ≈ $0.15) (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.ru/v1/run/luma/agent/ray/v3.2/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/luma/agent/ray/v3.2/image-to-video`
- Docs page: https://doitong.com/bn/developers/models/luma/agent/ray/v3.2/image-to-video

## Pricing

Price: **from $0.03 / second (5 s ≈ $0.15)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 10).

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

- When `exr_export` = true and `hdr` = true and `resolution` = 1080p: $0.72 (720 API credits) / second
- When `exr_export` = true and `hdr` = true: $0.18 (180 API credits) / second
- When `hdr` = true and `resolution` = 1080p: $0.48 (480 API credits) / second
- When `hdr` = true: $0.12 (120 API credits) / second
- When `resolution` = 1080p: $0.24 (240 API credits) / second
- When `resolution` = 720p: $0.06 (60 API credits) / second

The full example input below costs $0.15 = 150 API credits (5 s × 30 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/luma/agent/ray/v3.2/image-to-video` 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 |  | 1 – 6000 characters | তৈরি করার scene বা motion-এর text description। |
| `image_url` | `image` | string (image URL) \| null | no |  | ≥ 1 characters | image_url-এর মাধ্যমে সরবরাহ করা first-frame ছবি URL, যার সঙ্গে ঐচ্ছিক end_image_url দেওয়া যায়। এই anchoring mode keyframes বাদ দেয়; দুটির বদলে একটি mode বেছে নিন। |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | ঐচ্ছিক last-frame ছবি URL, যা image_url থেকে end_image_url-এ interpolation সক্ষম করে; keyframes ব্যবহারের বিকল্প হিসেবে। |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `3:4`, `4:3`, `1:1`, `9:16`, `16:9`, `21:9` | ফলাফল ভিডিওর অ্যাসপেক্ট রেশিও। |
| `resolution` |  | enum (string) | no | `540p` | `540p`, `720p`, `1080p` | আউটপুট ভিডিওর রেজোলিউশন। |
| `duration` |  | enum (string) | no | `5s` | `5s`, `10s` | Generated-video duration। একটি image_url / end_image_url anchor 10s সমর্থন করতে পারে না; এই duration-এর জন্য keyframes / keyframe_indexes-এর মাধ্যমে একাধিক keyframe দিতে হয়। |
| `loop` |  | boolean | no | `false` |  | Seamless-loop জেনারেশন, যা standard-dynamic-range আউটপুট-এ সীমাবদ্ধ; end ফ্রেম বা keyframes-এর যেকোনো একটি নির্দিষ্ট করলে এই option অনুপলভ্য হয়। |
| `hdr` |  | boolean | no | `false` |  | MP4 আউটপুট-এর জন্য HDR encoding, যা HDR অ্যাক্সেস থাকা account-এ 720p বা 1080p-তে উপলভ্য। এটি ব্যবহার করতে looping বন্ধ থাকতে হবে। |
| `exr_export` |  | boolean | no | `false` |  | MP4-এর সঙ্গে অতিরিক্ত EXR export, যা কেবল HDR অ্যাক্সেস এবং hdr=true দুটো থাকলেই উপলভ্য। |
| `keyframes` |  | array of string \| null | no |  | 1 – 64 items | Multi-keyframe image-to-video guide হিসেবে 1–64টি ছবি URL দিন, এবং তাদের অবস্থান নির্দিষ্ট করা সমান দৈর্ঘ্যের keyframe_indexes তালিকার সঙ্গে জোড়া দিন। keyframes ব্যবহার করলে HDR এবং 10s জেনারেশন সক্ষম হয়, তবে image_url, end_image_url এবং loop ব্যবহার করা যায় না। |
| `keyframe_indexes` |  | array of integer \| null | no |  | 1 – 64 items | Keyframes-এর সঙ্গে জোড়া anchor position: entry [i] আউটপুট-এ keyframes[i]-এর অবস্থান নির্ধারণ করে এবং উভয় array-এর দৈর্ঘ্য সমান হতে হবে। Position-গুলো স্বতন্ত্র ও non-negative হতে হবে; duration × 24fps অনুযায়ী 5s-এর range 0–120 এবং 10s-এর range 0–240। |
| `enable_safety_checker` |  | boolean | no | `true` |  | কলকারী অনুমোদিত হলে false সেট করে স্ক্রিনিং শিথিল করা যায়। |

File parameters (`image`, `end_image`) 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"
}
```

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.ru/v1/run/luma/agent/ray/v3.2/image-to-video?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.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/luma/agent/ray/v3.2/image-to-video?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.ru/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/luma/agent/ray/v3.2/image-to-video", 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": "luma/agent/ray/v3.2/image-to-video",
      "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": "luma/agent/ray/v3.2/image-to-video",
  "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"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "exr_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | মডেল দ্বারা উৎপাদিত ভিডিও। |
| `exr_file` | object {url, content_type, file_name, file_size} \| null | Luma যেভাবে export করে সেই form-এ EXR sidecar: একটি EXR ফাইল অথবা একটি ZIP archive। exr_export true হলে এটি জেনারেট হয়। |

## Related models

- [Luma Ray 3.2 Text to Video](https://doitong.com/developers/models/luma/agent/ray/v3.2/text-to-video.md) (`luma/agent/ray/v3.2/text-to-video`): from $0.10 / second
- [Luma Ray 3.2 Reframe](https://doitong.com/developers/models/luma/agent/ray/v3.2/reframe.md) (`luma/agent/ray/v3.2/reframe`): from $0.06 / second of input video
- [Luma Ray 3.2 Video to Video](https://doitong.com/developers/models/luma/agent/ray/v3.2/video-to-video.md) (`luma/agent/ray/v3.2/video-to-video`): from $0.144 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second

## Links

- HTML page: https://doitong.com/developers/models/luma/agent/ray/v3.2/image-to-video
- 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=luma/agent/ray/v3.2/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/luma/agent/ray/v3.2/image-to-video