# Editto API

> Editjar ta’ vidjo bbażat fuq istruzzjonijiet li jerġa’ jikteb vidjo sors minn prompt, b’kontrolli għall-frames, fps u riżoluzzjoni

Jeditja vidjo eżistenti mogħti minn `video_url` u ggwidat minn `prompt` testwali. L-output jista’ jsegwi n-numru ta’ frejms u r-rata tal-frejms tal-input, jew juża `num_frames` (17 sa 241) u `frames_per_second` (5 sa 30). Ir-riżoluzzjoni tvarja minn 240p sa 720p, il-proporzjon tal-aspett jista’ jkun auto, 16:9, 1:1 jew 9:16, u jista’ jintbagħat ukoll ZIP tal-frejms.

- Model id: `editto`
- Made by: Open model
- Category: Video to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/editto`
- Quote: `POST https://api.doitong.com/v1/quote/editto`
- Docs page: https://doitong.com/mt/developers/models/editto

## Pricing

Price: **from $0.04 / second of output video** (the lowest tier; the quote prices your exact input). Price per second of your output video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

Price by tier:

- 240p: $0.04 / second of output video
- 360p: $0.04 / second of output video
- 480p: $0.04 / second of output video
- 580p: $0.06 / second of output video
- auto: $0.08 / second of output video
- 720p: $0.08 / second of output video

The full example input below costs $0.405 = 405 API credits (5.0625 s output video × $0.08 (auto)).

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/editto` 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 |  |  | Istruzzjonijiet testwali li jiggwidaw il-ġenerazzjoni tal-vidjo. |
| `negative_prompt` |  | string | no | `letterboxing, borders, black bars, bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards` |  | Prompt negattiv applikat waqt il-ġenerazzjoni ta’ vidjo. |
| `match_input_num_frames` |  | boolean | no | `false` |  | Sors tal-għadd ta’ frejms tal-vidjo ġġenerat: false juża `num_frames`, filwaqt li true jikkopja l-għadd ta’ frejms tal-vidjo tal-input. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Għadd ta’ frejms output, b’medda inklużiva ta’ 81–241. |
| `match_input_frames_per_second` |  | boolean | no | `false` |  | Sors tar-rata tal-frejms tal-vidjo ġġenerat: false juża `frames_per_second`, filwaqt li true jikkopja r-rata tal-frejms tal-vidjo tal-input. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Rata tal-frejms tal-vidjo ġġenerat, applikata biss meta `match_input_frames_per_second` ma tkunx true; il-valuri aċċettati huma 5–30 frejm kull sekonda. |
| `seed` |  | integer \| null | no |  |  | Seed li jagħmel il-ġenerazzjoni riproduċibbli. L-issettjar tiegħu għal None jagħżel seed b’mod każwali. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Riżoluzzjoni tal-vidjo output. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Ratio tal-aspett għall-vidjo li jirriżulta. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Għadd ta’ passi ta’ kampjunar; għadd ogħla jżid il-ħin tal-ipproċessar iżda jtejjeb il-kwalità. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Saħħa tal-allinjament mal-prompt ikkontrollata permezz ta’ guidance mingħajr klassifikatur; iż-żieda fl-iskala tħeġġeġ lill-immaġnijiet ġġenerati jsegwu t-test aktar mill-qrib. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Sampler użat waqt il-ġenerazzjoni tal-vidjo. |
| `shift` |  | number | no | `5` | 1 – 15 | Setting ta’ shift applikat waqt il-ġenerazzjoni tal-vidjo. |
| `video_url` | `video` | string (video URL) | yes |  |  | URL tal-fajl tal-vidjo sors; meħtieġ meta jsir inpainting. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Swiċċ tal-kontroll tas-sikurezza li l-issettjar mitfi tiegħu jeħtieġ awtorizzazzjoni tal-kont. Mingħajr dik l-awtorizzazzjoni, kull talba tiġi kkontrollata irrispettivament mill-issettjar; true jippermetti l-kontrollur. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Setting tal-aċċelerazzjoni tal-inferenza, b’għażla ta’ 'none' jew 'regular': l-ipproċessar aċċellerat joffri titjib sostanzjali fil-veloċità bi spiża ta’ bidla żgħira ħafna fl-output. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Livell tal-kwalità għall-vidjo li jirriżulta. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modalità tal-kitba għall-vidjo li jirriżulta. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Għadd ta’ interpolazzjonijiet: 0 iħalli l-frejms oriġinali mingħajr interpolazzjoni; valuri oħra jispeċifikaw kemm għandhom jiġu ġġenerati frejms intermedji bejniethom. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Fattur ta’ qbiż tal-frejms tal-vidjo, espress bħala numru sħiħ, b’upsampling awtomatiku applikat darba għal kull fattur ta’ downsampling. Uża 0 biex tħalli d-downsampling temporali diżattivat. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Adattament awtomatiku tal-għadd ta’ frejms: l-attivazzjoni tippermetti lill-mudell jipproċessa vidjo temporanjament downsampled ta’ tul xieraq, b’interpolazzjoni wara li tirrestawra l-għadd oriġinali ta’ frejms. |
| `return_frames_zip` |  | boolean | no | `false` |  | Jikkontrolla jekk għandux jiġi rritornat ukoll arkivju ZIP li fih kull frejm ġġenerat; attivat meta jkun true. |

File parameters (`video`) 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.com/v1/run/editto?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.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/editto?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.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",
    "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/editto", 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": "editto",
      "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": "editto",
  "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": 405,
    "usd": "0.405",
    "charged": 405,
    "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "prompt": "Make it a Pixel Art video.",
    "seed": 42,
    "frames_zip": {
      "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames} | Fajl tal-vidjo ġġenerat mill-immaġni. |
| `prompt` | string | Prompt li ntuża biex jiġi ġġenerat l-output. |
| `seed` | integer | Valur ta’ seed applikat waqt il-ġenerazzjoni. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | Arkivju ZIP li fih kull frejm tal-vidjo, irritornat meta mitlub. |

## Related models

- [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
- [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
- [Bernini-R Reference Edit Video](https://doitong.com/developers/models/bernini-r/reference-edit-video.md) (`bernini-r/reference-edit-video`): from $0.04 / second of output video
- [DWPose Pose Prediction · Video](https://doitong.com/developers/models/dwpose/video.md) (`dwpose/video`): $0.0006 / second of processing time
- [ID-V2V](https://doitong.com/developers/models/id-v2v.md) (`id-v2v`): $0.20 / second of output video
- [ID-V2V Relight](https://doitong.com/developers/models/id-v2v/relight.md) (`id-v2v/relight`): $0.20 / second of output video

## Links

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