# Fabric 1.0 API

> Jibdel immaġni flimkien ma’ script testwali f’vidjo li jitkellem b’vuċi ġġenerata awtomatikament

Jieħu `image_url` u script `text` sa 2000 karattru, u jiġġenera vidjo li jitkellem b’vuċi maħluqa għas-suġġett muri. `voice_description` fakultattiv jaġġusta l-vuċi, pereżempju l-aċċent jew it-ton. `resolution` huwa meħtieġ, 720p jew 480p. M’hemmx bżonn ta’ fajl awdjo.

- Model id: `veed/fabric-1.0/text`
- Made by: VEED
- Category: Lipsync & Avatars
- Output: video
- Estimated price per run: from $2.40 / run (cheapest run $2.40 (2400 API credits))
- Run: `POST https://api.doitong.com/v1/run/veed/fabric-1.0/text`
- Quote: `POST https://api.doitong.com/v1/quote/veed/fabric-1.0/text`
- Docs page: https://doitong.com/mt/developers/models/veed/fabric-1.0/text

## Pricing

Price: **from $2.40 / run** (the lowest tier; the quote prices your exact input). Estimated from the typical cost of one run. The quote is exactly what the run charges.

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

- When `resolution` = 720p: base price × 1.875

The full example input below costs $4.50 = 4500 API credits (1 request × 4500 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.com/v1/quote/veed/fabric-1.0/text` 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  | 1 – 2083 characters |  |
| `text` |  | string | yes |  | 1 – 2000 characters |  |
| `voice_description` |  | string \| null | no |  |  | Gwida fakultattiva tal-vuċi li tissupplimenta d-deskrizzjoni ewlenija ġġenerata awtomatikament mill-immaġni. Huma appoġġjati kemm deskritturi qosra ('British accent' jew 'Confident') kif ukoll deskrizzjonijiet dettaljati ('Confident male voice, mid-20s, with notes of...'). |
| `resolution` |  | enum (string) | yes |  | `720p`, `480p` | Setting tar-riżoluzzjoni. |

File parameters (`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
{
  "image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "resolution": "720p"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "resolution": "720p"
}
```

## 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/veed/fabric-1.0/text?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "resolution": "720p"
  }'

# 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/veed/fabric-1.0/text?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "resolution": "720p"
  }),
});
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 = {
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "resolution": "720p",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veed/fabric-1.0/text", 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": "veed/fabric-1.0/text",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
        "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "resolution": "720p"
      },
      "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": "veed/fabric-1.0/text",
  "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": 4500,
    "usd": "4.50",
    "charged": 4500,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "resolution": "720p"
  },
  "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
    }
  },
  "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} |  |

## Related models

- [Subtitles](https://doitong.com/developers/models/veed/subtitles.md) (`veed/subtitles`): from $0.10 / minute of input video
- [Fabric 1.0 Fast](https://doitong.com/developers/models/veed/fabric-1.0/fast.md) (`veed/fabric-1.0/fast`): from $0.10 / second of input audio
- [Lipsync](https://doitong.com/developers/models/veed/lipsync.md) (`veed/lipsync`): $0.40 / minute of output video
- [VEED Fabric 1.0](https://doitong.com/developers/models/veed/fabric-1.0.md) (`veed/fabric-1.0`): from $0.08 / second of input audio
- [VEED Clean Audio](https://doitong.com/developers/models/veed/clean-audio.md) (`veed/clean-audio`): $0.0125 / minute of input audio
- [Kling AI Avatar 2.0 Pro](https://doitong.com/developers/models/kling-video/ai-avatar/v2/pro.md) (`kling-video/ai-avatar/v2/pro`): $0.115 / second of input audio
- [Sync Lipsync 3](https://doitong.com/developers/models/sync-lipsync/v3.md) (`sync-lipsync/v3`): $8.00 / minute of output video
- [Avatars · Audio to Video](https://doitong.com/developers/models/veed/avatars/audio-to-video.md) (`veed/avatars/audio-to-video`): $0.30 / minute of input audio

## Links

- HTML page: https://doitong.com/developers/models/veed/fabric-1.0/text
- 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=veed/fabric-1.0/text
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/veed/fabric-1.0/text