# Luma Ray 3.2 Video to Video API

> Ray 3.2 video editing na nire-restyle ang source video gamit ang edit-strength preset, control at keyframe

Ini-edit ang `video_url` ayon sa `prompt`, na may opsyonal na `start_image_url` para gabayan ang unang frame. Nag-aalok ang `edit_strength` ng adhere, flex at reimagine level 1 hanggang 3, habang nagbibigay ang `auto_controls` o `controls` object ng alternatibong conditioning. Maaaring i-anchor ang hanggang 64 `keyframes` gamit ang `keyframe_indexes`. Ang output ay 540p hanggang 1080p, 5s o 10s, na may opsyonal na `hdr` at `exr_export`.

- Model id: `luma/agent/ray/v3.2/video-to-video`
- Made by: Luma AI
- Category: Video to Video
- Output: video
- Price: from $0.144 / second (5 s ≈ $0.72) (cheapest run $0.72 (720 API credits))
- Run: `POST https://api.doitong.ru/v1/run/luma/agent/ray/v3.2/video-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/luma/agent/ray/v3.2/video-to-video`
- Docs page: https://doitong.com/fil/developers/models/luma/agent/ray/v3.2/video-to-video

## Pricing

Price: **from $0.144 / second (5 s ≈ $0.72)** (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: $1.296 (1296 API credits) / second
- When `exr_export` = true and `hdr` = true: $0.648 (648 API credits) / second
- When `hdr` = true and `resolution` = 1080p: $0.864 (864 API credits) / second
- When `hdr` = true: $0.432 (432 API credits) / second
- When `resolution` = 1080p: $0.432 (432 API credits) / second
- When `resolution` = 720p: $0.216 (216 API credits) / second

The full example input below costs $0.72 = 720 API credits (5 s × 144 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/video-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 | Mga text instruction para sa pag-edit ng source video. |
| `video_url` | `video` | string (video URL) | yes |  | ≥ 1 characters | URL ng video na ine-edit. |
| `user` |  | string \| null | no |  |  | Opsyonal na opaque ID na tumutukoy sa end user na nagsusumite ng kahilingan. |
| `start_image_url` | `image` | string (image URL) \| null | no |  |  | First-frame override para sa na-edit na video, na ibinibigay bilang opsyonal na larawan URL; kapag hindi ibinigay, kinukuha ng modelo ang frame na iyon mula sa source video. Halimbawa, ang pagbibigay ng binagong-style na opening larawan mula sa source ay maaaring gumabay sa appearance ng edit. |
| `resolution` |  | enum (string) | no | `540p` | `540p`, `720p`, `1080p` | Output resolution pagkatapos ng pag-edit. |
| `duration` |  | enum (string) | no | `5s` | `5s`, `10s` | Haba ng video pagkatapos ng pag-edit. |
| `edit_strength` |  | enum (string) \| null | no |  | `adhere_1`, `adhere_2`, `adhere_3`, `flex_1`, `flex_2`, `flex_3`, `reimagine_1`, `reimagine_2`, `reimagine_3` | Setting para sa pagpapanatili ng source sa mga edit, available lamang kapag hindi ginagamit ang auto_controls; kapag hindi ibinigay, pinipili ang default ng modelo. Mula sa pinakamalaking paglayo hanggang sa pinakamalapit na pagsunod, ang mga opsyon ay 'reimagine_*', 'flex_*' para sa balanseng resulta, at 'adhere_*'. |
| `auto_controls` |  | boolean | no | `false` |  | Awtomatikong edit conditioning: ginagamit ng modelo ang source video upang tukuyin ang schedule sa halip na tumanggap ng edit_strength kasama ng opsyong ito. |
| `hdr` |  | boolean | no | `false` |  | HDR encoding para sa MP4 output sa 720p o 1080p, available lamang sa mga account na may HDR access. |
| `exr_export` |  | boolean | no | `false` |  | Karagdagang EXR export na kasama ng MP4, available lamang kapag parehong may HDR access at hdr=true. |
| `controls` |  | object {pose, depth, normals, trajectory, face} \| null | no |  |  | Mas detalyadong alternatibo sa edit_strength na nagko-configure ng conditioning nang hiwalay para sa pose, depth, normals, trajectory, at face. Hindi maaaring gamitin ang auto_controls kapag ginagamit ang mga control na ito. |
| `controls.pose` |  | object {enabled, strength} \| null | no |  |  | Conditioning batay sa pose o skeleton. |
| `controls.pose.enabled` |  | boolean | no | `true` |  | Toggle para sa pose o skeleton conditioning habang nag-e-edit. |
| `controls.pose.strength` |  | enum (string) \| null | no |  | `precise`, `coarse` | Pagpili ng precision para sa pose-conditioning: panatilihin ang default sa pamamagitan ng hindi pagbibigay nito, piliin ang 'coarse' para sa mas malaking kalayaan, o gamitin ang 'precise' upang mahigpit na sundan ang source pose. |
| `controls.depth` |  | object {enabled, blur} \| null | no |  |  | Conditioning batay sa depth o geometry ng eksena. |
| `controls.depth.enabled` |  | boolean | no | `true` |  | Toggle para sa depth o scene-geometry conditioning habang nag-e-edit. |
| `controls.depth.blur` |  | number \| null | no |  | 0 – 1 | Setting ng depth blur, iwanang hindi tinukoy upang panatilihin ang default o taasan upang bigyan ng mas malaking kalayaan ang geometry. |
| `controls.normals` |  | object {enabled, augmentation} \| null | no |  |  | Conditioning batay sa surface normals. |
| `controls.normals.enabled` |  | boolean | no | `true` |  | Toggle para sa surface-normal conditioning habang nag-e-edit. |
| `controls.normals.augmentation` |  | number \| null | no |  | 0 – 1 | Setting ng surface-normal augmentation; panatilihin ang default sa pamamagitan ng hindi pagbibigay nito, o taasan ito upang payagan ang mas malaking reinterpretation ng surface geometry. |
| `controls.trajectory` |  | object {enabled, sparsity} \| null | no |  |  | Conditioning batay sa motion trajectories. |
| `controls.trajectory.enabled` |  | boolean | no | `true` |  | Toggle para sa motion-trajectory conditioning habang nag-e-edit. |
| `controls.trajectory.sparsity` |  | number \| null | no |  | 0 – 1 | Setting ng motion-trajectory sparsity; alisin ito upang panatilihin ang default, o taasan upang bawasan ang bilang ng ginagamit na motion anchor. |
| `controls.face` |  | object {enabled} \| null | no |  |  | Conditioning batay sa facial identity. |
| `controls.face.enabled` |  | boolean | no | `true` |  | Toggle para sa face-identity conditioning habang nag-e-edit. |
| `keyframes` |  | array of string \| null | no |  | 1 – 64 items | Mga multi-keyframe editing guide na ibinibigay bilang larawan URL sa halip na start_image_url. Ibigay ang keyframes kasama ng kapantay na haba na keyframe_indexes array upang i-pin ang bawat larawan sa posisyon ng source-video frame nito; hanggang 64 URL lamang ang pinapahintulutan. |
| `keyframe_indexes` |  | array of integer \| null | no |  | 1 – 64 items | Source-frame mapping na one-to-one na ipinapares sa keyframes: tinutukoy ng entry [i] ang anchor position para sa keyframes[i]. Dapat magkapantay ang haba ng dalawang array, at dapat magkakaiba at non-negative ang mga position. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Maaaring luwagan ang screening sa pamamagitan ng pagtatakda ng false, kung awtorisado ang tumatawag. |

File parameters (`video`, `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",
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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/video-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",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# 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/video-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",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# 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/video-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/video-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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/video-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": 720,
    "usd": "0.72",
    "charged": 720,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "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} | Videong ginawa ng modelo. |
| `exr_file` | object {url, content_type, file_name, file_size} \| null | EXR sidecar sa anyong ine-export ng Luma: alinman sa isang EXR file o ZIP archive. Binubuo ito kapag true ang exr_export. |

## 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 Image to Video](https://doitong.com/developers/models/luma/agent/ray/v3.2/image-to-video.md) (`luma/agent/ray/v3.2/image-to-video`): from $0.03 / 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
- [AMT Interpolation](https://doitong.com/developers/models/amt-interpolation.md) (`amt-interpolation`): $0.000575 / second of processing time
- [AnimateDiff Turbo · Video to Video](https://doitong.com/developers/models/fast-animatediff/turbo/video-to-video.md) (`fast-animatediff/turbo/video-to-video`): $0.00125 / second of processing time
- [AnimateDiff · Video to Video](https://doitong.com/developers/models/fast-animatediff/video-to-video.md) (`fast-animatediff/video-to-video`): $0.00125 / second of processing time
- [Auto-Captioner](https://doitong.com/developers/models/auto-caption.md) (`auto-caption`): $0.10 / video
- [Bernini-R Edit Video](https://doitong.com/developers/models/bernini-r/edit-video.md) (`bernini-r/edit-video`): from $0.04 / second of output video

## Links

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