# Editto API

> Uz instrukcijām balstīta videoklipu rediģēšana, kas pārraksta avota videoklipu no uzvednes ar kadru, kadru nomaiņas ātruma un izšķirtspējas vadīklām

Rediģē esošu videoklipu, kas norādīts ar `video_url` un vadīts ar teksta `prompt`. Izvade var saglabāt ievades kadru skaitu un kadru nomaiņas ātrumu vai izmantot `num_frames` (17 līdz 241) un `frames_per_second` (5 līdz 30). Izšķirtspēja ir no 240p līdz 720p, malu attiecība var būt auto, 16:9, 1:1 vai 9:16, un var atgriezt arī kadru ZIP arhīvu.

- 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/lv/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 |  |  | Teksta norādes video ģenerēšanai. |
| `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` |  | Negatīvā uzvedne, kas tiek lietota video ģenerēšanas laikā. |
| `match_input_num_frames` |  | boolean | no | `false` |  | Ģenerētā video kadru skaita avots: false izmanto `num_frames`, savukārt true kopē ievades video kadru skaitu. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Izvades kadru skaits ar ietverošu diapazonu 81–241. |
| `match_input_frames_per_second` |  | boolean | no | `false` |  | Ģenerētā video kadru nomaiņas ātruma avots: false izmanto `frames_per_second`, savukārt true kopē ievades video kadru nomaiņas ātrumu. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Ģenerētā video kadru nomaiņas ātrums, kas tiek lietots tikai tad, ja `match_input_frames_per_second` nav true; pieļaujamās vērtības ir 5–30 kadri sekundē. |
| `seed` |  | integer \| null | no |  |  | Sēkla, kas padara ģenerēšanu atkārtojamu. Iestatot None, sēkla tiek izvēlēta nejauši. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Izvades video izšķirtspēja. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Iegūtā video malu attiecība. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Semplešanas soļu skaits; lielāks skaits nodrošina labāku kvalitāti, bet paildzina apstrādi. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Uzvednes saskaņošanas stiprums, ko kontrolē ar klasifikatoram neatkarīgām norādēm; palielinot mērogu, ģenerētie attēli ciešāk atbilst tekstam. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Paraugu ņēmējs, kas tiek izmantots video ģenerēšanas laikā. |
| `shift` |  | number | no | `5` | 1 – 15 | Nobīdes iestatījums, kas tiek lietots video ģenerēšanas laikā. |
| `video_url` | `video` | string (video URL) | yes |  |  | Avota video faila URL; nepieciešams, veicot inpainting. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Drošības pārbaudes slēdzis, kura izslēgšanai nepieciešama konta autorizācija. Bez šīs autorizācijas katrs pieprasījums tiek pārbaudīts neatkarīgi no iestatījuma; true iespējo pārbaudītāju. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Secināšanas paātrināšanas iestatījums ar opciju 'none' vai 'regular': paātrināta apstrāde ievērojami palielina ātrumu, radot ļoti nelielas izmaiņas izvadē. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Iegūtā video kvalitātes līmenis. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Iegūtā video ierakstīšanas režīms. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Interpolācijas reižu skaits: 0 atstāj sākotnējos kadrus bez interpolācijas; citas vērtības norāda, cik starpkadru jāģenerē starp tiem. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Video kadru izlaišanas koeficients, kas izteikts kā vesels skaitlis, ar automātisku iztveršanas palielināšanu pēc katra iztveršanas samazināšanas koeficienta. Izmantojiet 0, lai atspējotu laika iztveršanas samazināšanu. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Automātiska kadru skaita pielāgošana: iespējošana ļauj modelim apstrādāt piemērota ilguma video ar samazinātu laika iztveršanu, pēc tam ar interpolāciju atjaunojot sākotnējo kadru skaitu. |
| `return_frames_zip` |  | boolean | no | `false` |  | Kontrolē, vai tiek atgriezts arī ZIP arhīvs ar katru ģenerēto kadru; aktivizēts, ja vērtība ir 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} | No attēla ģenerētais video fails. |
| `prompt` | string | Uzvedne, kas tika izmantota izvades ģenerēšanai. |
| `seed` | integer | Ģenerēšanas laikā lietotā sēklas vērtība. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | ZIP arhīvs ar katru video kadru, kas tiek atgriezts pēc pieprasījuma. |

## 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