# Editto API

> Anweisungsbasierte Videobearbeitung, die ein Quellvideo anhand eines Prompts neu erstellt, mit Steuerung für Einzelbilder, FPS und Auflösung

Bearbeitet ein über `video_url` angegebenes vorhandenes Video anhand eines Text-`prompt`. Die Ausgabe kann Anzahl und Bildrate der Eingabe übernehmen oder `num_frames` (17 bis 241) und `frames_per_second` (5 bis 30) verwenden. Die Auflösung reicht von 240p bis 720p, das Seitenverhältnis kann auto, 16:9, 1:1 oder 9:16 sein; zusätzlich kann ein ZIP-Archiv der Einzelbilder zurückgegeben werden.

- 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.ru/v1/run/editto`
- Quote: `POST https://api.doitong.ru/v1/quote/editto`
- Docs page: https://doitong.com/de/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.ru/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 |  |  | Textanweisungen zur Steuerung der Video-Generierung. |
| `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` |  | Bei der Videogenerierung angewendeter negativer Prompt. |
| `match_input_num_frames` |  | boolean | no | `false` |  | Quelle der Frame-Anzahl des generierten Videos: false verwendet `num_frames`, true übernimmt die Frame-Anzahl des Eingabevideos. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Ausgabe-Frame-Anzahl mit einem inklusiven Bereich von 81–241. |
| `match_input_frames_per_second` |  | boolean | no | `false` |  | Quelle der Bildrate des generierten Videos: false verwendet `frames_per_second`, true übernimmt die Bildrate des Eingabevideos. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Bildrate des generierten Videos, nur angewendet, wenn `match_input_frames_per_second` nicht true ist; akzeptierte Werte sind 5–30 Frames pro Sekunde. |
| `seed` |  | integer \| null | no |  |  | Seed für reproduzierbare Generierung. Bei None wird ein Seed zufällig ausgewählt. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Auflösung des Ausgabevideos. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Seitenverhältnis des resultierenden Videos. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Anzahl der Sampling-Schritte; eine höhere Anzahl verlängert die Verarbeitung, verbessert aber die Qualität. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Stärke der Prompt-Ausrichtung über classifier-free guidance; eine Erhöhung der Skala bewirkt, dass generierte Bilder dem Text genauer folgen. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Bei der Videogenerierung verwendeter Sampler. |
| `shift` |  | number | no | `5` | 1 – 15 | Bei der Videogenerierung angewendete Shift-Einstellung. |
| `video_url` | `video` | string (video URL) | yes |  |  | URL der Quelldatei des Videos; bei Inpainting erforderlich. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Schalter für die Sicherheitsprüfung, dessen Deaktivierung eine Kontoberechtigung erfordert. Ohne diese Berechtigung wird jede Anfrage unabhängig von der Einstellung geprüft; true aktiviert die Prüfung. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Einstellung zur Inferenzbeschleunigung mit 'none' oder 'regular': Die beschleunigte Verarbeitung erhöht die Geschwindigkeit deutlich, verändert die Ausgabe jedoch geringfügig. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Qualitätsstufe des resultierenden Videos. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Schreibmodus des resultierenden Videos. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Interpolationsanzahl: 0 lässt die ursprünglichen Frames unverändert; andere Werte geben an, wie viele Zwischenframes zwischen ihnen erzeugt werden. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Frame-Überspringfaktor des Videos als Ganzzahl, wobei für jeden Downsampling-Faktor automatisch einmal Upsampling angewendet wird. 0 deaktiviert das zeitliche Downsampling. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Automatische Anpassung der Frame-Anzahl: Bei Aktivierung kann das Modell ein zeitlich heruntergerechnetes Video geeigneter Länge verarbeiten; die anschließende Interpolation stellt die ursprüngliche Frame-Anzahl wieder her. |
| `return_frames_zip` |  | boolean | no | `false` |  | Steuert, ob zusätzlich ein ZIP-Archiv mit jedem generierten Frame zurückgegeben wird; aktiviert bei 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.ru/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.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/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.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/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.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": "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.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, width, height, fps, duration, num_frames} | Aus dem Bild generierte Videodatei. |
| `prompt` | string | Zur Generierung der Ausgabe verwendeter Prompt. |
| `seed` | integer | Während der Generierung angewendeter Seed-Wert. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | ZIP-Archiv mit jedem Video-Frame, das auf Anfrage zurückgegeben wird. |

## 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.ru/v1/models/editto