# Framepack · FLF2V API

> Video Framepack yang menginterpolasi daripada imej mula kepada imej akhir yang diperlukan

Menjana video yang bermula pada `image_url` dan bergerak ke arah `end_image_url`, berpandukan gesaan. Nilai `strength` (0 hingga 1, lalai 0.8) menentukan pengaruh bingkai akhir terhadap hasil. `num_frames` membolehkan 30 hingga 1800, dengan lalai 240. Menyokong 16:9 atau 9:16 serta 480p atau 720p.

- Model id: `framepack/flf2v`
- Made by: Open model
- Category: Image to Video
- Output: video
- Estimated price per run: from $0.134 / run (cheapest run $0.134 (134 API credits))
- Run: `POST https://api.doitong.com/v1/run/framepack/flf2v`
- Quote: `POST https://api.doitong.com/v1/quote/framepack/flf2v`
- Docs page: https://doitong.com/ms/developers/models/framepack/flf2v

## Pricing

Price: **from $0.134 / 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 `num_frames` > 1680 and `resolution` = 720p: base price × 17.99
- When `num_frames` ≤ 1680 and `resolution` = 720p: base price × 15.74
- When `num_frames` ≤ 1440 and `resolution` = 720p: base price × 13.49
- When `num_frames` ≤ 1200 and `resolution` = 720p: base price × 11.25
- When `num_frames` ≤ 960 and `resolution` = 720p: base price × 9.0
- When `num_frames` > 1680 and `resolution` = 480p: base price × 8
- When `num_frames` ≤ 1680 and `resolution` = 480p: base price × 7
- When `num_frames` ≤ 720 and `resolution` = 720p: base price × 6.75
- When `num_frames` ≤ 1440 and `resolution` = 480p: base price × 6
- When `num_frames` ≤ 1200 and `resolution` = 480p: base price × 5
- When `num_frames` ≤ 480 and `resolution` = 720p: base price × 4.5
- When `num_frames` ≤ 960 and `resolution` = 480p: base price × 4
- When `num_frames` ≤ 720 and `resolution` = 480p: base price × 3
- When `num_frames` ≤ 240 and `resolution` = 720p: base price × 2.25
- When `num_frames` ≤ 480 and `resolution` = 480p: base price × 2

The full example input below costs $0.134 = 134 API credits (1 request × 134 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/framepack/flf2v` 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 |  |  | Arahan teks untuk menjana video, terhad kepada 500 aksara. |
| `negative_prompt` |  | string | no | `` |  | Prompt negatif yang digunakan semasa menjana video. |
| `image_url` | `image` | string (image URL) | yes |  |  | URL yang merujuk kepada imej input. |
| `seed` |  | integer \| null | no |  |  | Nilai seed untuk penjanaan video. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16` | Nisbah aspek untuk video output. |
| `resolution` |  | enum (string) | no | `480p` | `720p`, `480p` | Resolusi untuk video output. |
| `cfg_scale` |  | number | no | `1` | 0 – 7 | Skala yang digunakan untuk panduan tanpa pengelas semasa penjanaan. |
| `guidance_scale` |  | number | no | `10` | 0 – 32 | Skala panduan yang digunakan semasa penjanaan. |
| `num_frames` |  | integer | no | `240` | 30 – 1,800 | Bilangan bingkai untuk output yang dijana. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Pengaktifan pemeriksa keselamatan; true mendayakan pemeriksaan. |
| `end_image_url` | `end_image` | string (image URL) | yes |  |  | URL yang merujuk kepada imej input akhir. |
| `strength` |  | number | no | `0.8` | 0 – 1 | Berat yang diberikan kepada bingkai akhir semasa penjanaan video; peningkatan tetapan ini meningkatkan pengaruh bingkai tersebut. |

File parameters (`image`, `end_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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "end_image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

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

## 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/framepack/flf2v?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "end_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/framepack/flf2v?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "end_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "end_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/framepack/flf2v", 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": "framepack/flf2v",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "end_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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": "framepack/flf2v",
  "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": 134,
    "usd": "0.134",
    "charged": 134,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "end_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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
    },
    "seed": 42
  },
  "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} |  |
| `seed` | integer | Nilai seed yang digunakan semasa penjanaan video. |

## Related models

- [Framepack](https://doitong.com/developers/models/framepack.md) (`framepack`): from $0.134 / run
- [Framepack F1](https://doitong.com/developers/models/framepack/f1.md) (`framepack/f1`): from $0.134 / run
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second
- [Seedance 2.0 Fast Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/image-to-video.md) (`bytedance/seedance-2.0/fast/image-to-video`): from $0.113 / second

## Links

- HTML page: https://doitong.com/developers/models/framepack/flf2v
- 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=framepack/flf2v
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/framepack/flf2v