ltx-2.3-quality/extend-video

video-ke-video

Ltx 2.3 Quality Extend Video API

ltx-2.3-quality/extend-video

Extend-video

Generate high-quality video with audio from images using LTX-2.3

INPUT

Prompt *

Video url *

Anda dapat drag & drop file atau klik untuk mengunggah

MAX:1

Extend direction

Num frames

Resolusi

Match input fps

Hasilkan Audio

Seed

OUTPUT

Menunggu

Video yang dihasilkan akan muncul di sini

Konfigurasikan pengaturan Anda dan klik Jalankan untuk memulai

Permintaan Anda akan dikenakan biaya $0.002 per eksekusi. Dengan $10 Anda dapat menjalankan model ini sekitar 5000 kali.

Berikut yang dapat Anda lakukan selanjutnya:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameter

Contoh kode
import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "ltx-2.3-quality/extend-video",  # Required. model name
    "prompt": "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics",  # Required. Text description of the extended scene
    "video_url": "example_value",  # Required. URL of the input video to extend
    "extend_direction": "forward",  # Direction in which to extend the video. options: forward | backward
    "num_frames": 81,  # Number of frames to generate for the extension. (min: 9, max: 481)
    "resolution": "landscape_16_9",  # Output video resolution preset. options: square_hd | square | portrait_3_4 | portrait_9_16 | landscape_4_3 | landscape_16_9
    "match_input_fps": True,  # Whether to match the frame rate of the source video
    "generate_audio": False,  # Whether to generate accompanying audio for the extended video
    "seed": 0,  # Random seed for reproducibility. (min: 0)
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Instalasi

Instal paket dependensi yang diperlukan.

pip install requests

Autentikasi

Semua permintaan API memerlukan autentikasi melalui API key. Anda bisa mendapatkan API key dari dasbor Atlas Cloud.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP Headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Jaga keamanan API key Anda

Jangan pernah mengekspos API key Anda di kode sisi klien atau repositori publik. Gunakan variabel lingkungan atau proxy backend sebagai gantinya.

Kirim permintaan

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Kirim Permintaan

Kirim permintaan pembuatan asinkron. API mengembalikan prediction ID yang dapat Anda gunakan untuk memeriksa status dan mengambil hasil.

POST/api/v1/model/generateVideo

Isi Permintaan

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "ltx-2.3-quality/extend-video",
    "prompt": "A beautiful sunset over the ocean with gentle waves"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Respons

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Periksa Status

Polling prediction endpoint untuk memeriksa status permintaan Anda saat ini.

GET/api/v1/model/prediction/{prediction_id}

Contoh Polling

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Nilai Status

processingPermintaan masih diproses.

completedPembuatan selesai. Output tersedia.

succeededPembuatan berhasil. Output tersedia.

failedPembuatan gagal. Periksa field error.

Respons Selesai

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Unggah File

Unggah file ke penyimpanan Atlas Cloud dan dapatkan URL yang dapat Anda gunakan dalam permintaan API Anda. Gunakan multipart/form-data untuk mengunggah.

POST/api/v1/model/uploadMedia

Contoh Unggah

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Respons

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Input Schema

Parameter berikut diterima di isi permintaan.

Total: 9Wajib: 3Opsional: 6

modelstringrequired

model name

Default: "ltx-2.3-quality/extend-video"

promptstringrequired

Text description of the extended scene. Maximum 2,000 characters.

Default: "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics"

video_urlstringrequired

URL of the input video to extend. Supported formats: mp4, mov, webm, m4v, gif.

Format: uri

extend_directionstring

Direction in which to extend the video.

Default: "forward"

forwardbackward

num_framesinteger

Number of frames to generate for the extension. Must be a multiple of 8 plus 1 (e.g. 25, 41, 81, 121).

Default: 81Min: 9Max: 481

resolutionstring

Output video resolution preset.

Default: "landscape_16_9"

square_hdsquareportrait_3_4portrait_9_16landscape_4_3landscape_16_9

match_input_fpsboolean

Whether to match the frame rate of the source video.

Default: true

generate_audioboolean

Whether to generate accompanying audio for the extended video.

Default: false

seedinteger

Random seed for reproducibility. Use the same seed and prompt to reproduce results.

Min: 0

Contoh Isi Permintaan

{
  "model": "ltx-2.3-quality/extend-video",
  "prompt": "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics",
  "video_url": "example_video_url",
  "extend_direction": "forward",
  "num_frames": 81,
  "resolution": "landscape_16_9",
  "match_input_fps": true,
  "generate_audio": false
}

Output Schema

API mengembalikan respons prediction dengan URL output yang dihasilkan.

modelstring

model name

Default: "ltx-2.3-quality/extend-video"

created_atstring

ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

idstring

Unique identifier for the prediction.

outputsarray

Array of URLs to the generated videos. Null when status is not completed.

statusstring

Status of the task: created, processing, completed, or failed.

Contoh Respons

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills mengintegrasikan 400+ model AI langsung ke asisten pengkodean AI Anda. Satu perintah untuk menginstal, lalu gunakan bahasa alami untuk menghasilkan gambar, video, dan mengobrol dengan LLM.

Klien yang Didukung

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ klien yang didukung

Instalasi

npx skills add AtlasCloudAI/atlas-cloud-skills

Atur API Key

Dapatkan API key dari dasbor Atlas Cloud dan atur sebagai variabel lingkungan.

export ATLASCLOUD_API_KEY="your-api-key-here"

Kemampuan

Setelah diinstal, Anda dapat menggunakan bahasa alami di asisten AI Anda untuk mengakses semua model Atlas Cloud.

Pembuatan GambarBuat gambar dengan model seperti Nano Banana 2, Z-Image, dan lainnya.

Pembuatan VideoBuat video dari teks atau gambar dengan Kling, Vidu, Veo, dll.

Obrolan LLMMengobrol dengan Qwen, DeepSeek, dan model bahasa besar lainnya.

Unggah MediaUnggah file lokal untuk pengeditan gambar dan alur kerja gambar-ke-video.

Pelajari lebih lanjut

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server menghubungkan IDE Anda dengan 400+ model AI melalui Model Context Protocol. Berfungsi dengan klien apa pun yang kompatibel dengan MCP.

Klien yang Didukung

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ klien yang didukung

Instalasi

npx -y atlascloud-mcp

Konfigurasi

Tambahkan konfigurasi berikut ke file pengaturan MCP di IDE Anda.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Alat yang Tersedia

atlas_generate_imageBuat gambar dari prompt teks.

atlas_generate_videoBuat video dari teks atau gambar.

atlas_chatMengobrol dengan model bahasa besar.

atlas_list_modelsJelajahi 400+ model AI yang tersedia.

atlas_quick_generatePembuatan konten satu langkah dengan pemilihan model terbaik otomatis.

atlas_upload_mediaUnggah file lokal untuk alur kerja API.

Pelajari lebih lanjut

github.com/AtlasCloudAI/mcp-server

Schema API

{
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "paths": {
    "/api/v1/model/generateImage": {
      "post": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        },
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        },
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "schema": {
              "type": "string",
              "description": "Request ID"
            },
            "required": true
          }
        ]
      },
      "x-api-name": "model_result"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "ltx-2.3-quality/extend-video"
          },
          "prompt": {
            "description": "Text description of the extended scene. Maximum 2,000 characters.",
            "type": "string",
            "minLength": 1,
            "maxLength": 2000,
            "default": "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics"
          },
          "video_url": {
            "description": "URL of the input video to extend. Supported formats: mp4, mov, webm, m4v, gif.",
            "type": "string",
            "format": "uri",
            "x-ui-component": "file-upload",
            "x-accepted-formats": [
              "mp4",
              "mov",
              "webm",
              "m4v",
              "gif"
            ]
          },
          "extend_direction": {
            "description": "Direction in which to extend the video.",
            "type": "string",
            "default": "forward",
            "enum": [
              "forward",
              "backward"
            ],
            "x-ui-component": "select",
            "x-enum-labels": {
              "forward": "Forward (append after)",
              "backward": "Backward (prepend before)"
            }
          },
          "num_frames": {
            "description": "Number of frames to generate for the extension. Must be a multiple of 8 plus 1 (e.g. 25, 41, 81, 121).",
            "type": "integer",
            "default": 81,
            "minimum": 9,
            "maximum": 481,
            "x-ui-component": "slider"
          },
          "resolution": {
            "description": "Output video resolution preset.",
            "type": "string",
            "default": "landscape_16_9",
            "enum": [
              "square_hd",
              "square",
              "portrait_3_4",
              "portrait_9_16",
              "landscape_4_3",
              "landscape_16_9"
            ],
            "x-ui-component": "select",
            "x-enum-labels": {
              "square_hd": "Square HD (1024×1024)",
              "square": "Square (512×512)",
              "portrait_3_4": "Portrait 3:4",
              "portrait_9_16": "Portrait 9:16",
              "landscape_4_3": "Landscape 4:3",
              "landscape_16_9": "Landscape 16:9"
            },
            "x-enum-mapping": {
              "portrait_3_4": "portrait_4_3"
            }
          },
          "match_input_fps": {
            "description": "Whether to match the frame rate of the source video.",
            "type": "boolean",
            "default": true,
            "x-ui-component": "switch"
          },
          "generate_audio": {
            "description": "Whether to generate accompanying audio for the extended video.",
            "type": "boolean",
            "default": false,
            "x-ui-component": "switch"
          },
          "seed": {
            "description": "Random seed for reproducibility. Use the same seed and prompt to reproduce results.",
            "type": "integer",
            "minimum": 0
          }
        },
        "required": [
          "model",
          "prompt",
          "video_url"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "prompt",
          "video_url",
          "extend_direction",
          "num_frames",
          "resolution",
          "match_input_fps",
          "generate_audio",
          "seed"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "ltx-2.3-quality/extend-video"
          },
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., \"2023-04-01T12:34:56.789Z\").",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated videos. Null when status is not completed.",
            "items": {
              "type": "string"
            },
            "nullable": true,
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

Template Prompt untuk LLM

# ltx-2.3-quality/extend-video

> Generate high-quality video with audio from images using LTX-2.3


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `ltx-2.3-quality/extend-video`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"ltx-2.3-quality/extend-video"`

- **`prompt`** (`string`, _required_):
  Text description of the extended scene. Maximum 2,000 characters.
  - Default: `"Continue the scene naturally, maintaining the same style, lighting, and motion dynamics"`

- **`video_url`** (`string`, _required_):
  URL of the input video to extend. Supported formats: mp4, mov, webm, m4v, gif.

- **`extend_direction`** (`string`, _optional_):
  Direction in which to extend the video.
  - Default: `"forward"`
  - Options: "forward", "backward"

- **`num_frames`** (`integer`, _optional_):
  Number of frames to generate for the extension. Must be a multiple of 8 plus 1 (e.g. 25, 41, 81, 121).
  - Default: `81`
  - Min: 9
  - Max: 481

- **`resolution`** (`string`, _optional_):
  Output video resolution preset.
  - Default: `"landscape_16_9"`
  - Options: "square_hd", "square", "portrait_3_4", "portrait_9_16", "landscape_4_3", "landscape_16_9"

- **`match_input_fps`** (`boolean`, _optional_):
  Whether to match the frame rate of the source video.
  - Default: `true`

- **`generate_audio`** (`boolean`, _optional_):
  Whether to generate accompanying audio for the extended video.
  - Default: `false`

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. Use the same seed and prompt to reproduce results.
  - Min: 0



**Required Parameters Example**:

```json
{
  "model": "ltx-2.3-quality/extend-video",
  "prompt": "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics",
  "video_url": ""
}
```


**Full Example**:

```json
{
  "model": "ltx-2.3-quality/extend-video",
  "prompt": "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics",
  "video_url": "",
  "extend_direction": "forward",
  "num_frames": 81,
  "resolution": "landscape_16_9",
  "match_input_fps": true,
  "generate_audio": false,
  "seed": 0
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"ltx-2.3-quality/extend-video"`

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated videos. Null when status is not completed.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "model": "ltx-2.3-quality/extend-video",
  "created_at": "",
  "id": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "ltx-2.3-quality/extend-video",
  "prompt": "Continue the scene naturally, maintaining the same style, lighting, and motion dynamics",
  "video_url": "",
  "extend_direction": "forward",
  "num_frames": 81,
  "resolution": "landscape_16_9",
  "match_input_fps": true,
  "generate_audio": false,
  "seed": 0
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/ltx-2.3-quality/extend-video)

After the spacecraft landed, the soldiers stepped off one by one.

Memuat...

LTX 2.3 Quality Extend Video

LTX 2.3 Quality Extend Video seamlessly extends an existing video forward or backward, generating new frames that match the source video's style, lighting, and motion dynamics. Only the generated extension is billed — source frames are never charged.

🌟 Key Features

⏩ Bidirectional Extension

Extend a video forward to continue the scene, or backward to generate a natural-looking prequel — all from the same model.

🎨 Style-Consistent Generation

The model analyzes the source video's visual style, color grading, and motion patterns, producing extensions that blend seamlessly with the original.

🎞 Frame Rate Matching

Optionally match the source video's frame rate for a perfectly smooth, artifact-free result.

🔊 Optional Audio Generation

Optionally generate audio for the extended segment.

🔁 Reproducible Results

Pin a seed value to reproduce or iterate on a specific generation.

⚙️ Parameters

Parameter	Required	Description
`prompt`	✅	Text description of the extended scene. Maximum 2,000 characters.
`video_url`	✅	URL of the input video to extend. Supported: mp4, mov, webm, m4v, gif.
`extend_direction`	❌	Direction of extension: `forward` (default) or `backward`.
`num_frames`	❌	Number of frames to generate for the extension (default: `81`).
`resolution`	❌	Output video resolution preset (default: `landscape_16_9`). See options below.
`match_input_fps`	❌	Whether to match the source video's frame rate (default: `true`).
`generate_audio`	❌	Whether to generate accompanying audio (default: `false`).
`seed`	❌	Random seed for reproducibility. Omit for random results.

Resolution Options

Value	Description
`square_hd`	Square HD (1024×1024)
`square`	Square (512×512)
`portrait_3_4`	Portrait 3:4
`portrait_9_16`	Portrait 9:16
`landscape_4_3`	Landscape 4:3
`landscape_16_9`	Landscape 16:9

Extend Direction Options

Value	Description
`forward`	Append new frames after the end of the source video
`backward`	Prepend new frames before the start of the source video

💲 Pricing

Billed at $0.0024075 per megapixel of generated video data (width × height × num_frames), rounded upward. Source video frames are not billed.

Example: landscape_16_9 (1280×720) at 81 frames ≈ 75 MP ≈ $0.18

💡 Prompt Tips

Continue the scene naturally — the character keeps walking down the moonlit street, footsteps echoing, same cinematic lighting.

For forward: describe what happens next — new actions, camera movements, scene transitions.
For backward: describe the preceding context — where the scene came from, setup shots.
Keep the style description consistent with the source video to avoid jarring transitions.
Reference the source video's existing elements (characters, lighting, environment) to anchor the generation.

🎯 Use Cases

Film & Short Video — Extend short clips into longer sequences without re-shooting.
Loop Creation — Generate seamless extensions to create looping background videos.
Scene Padding — Add establishing or trailing shots to existing footage.
Creative Exploration — Explore alternate continuations of a scene with different prompts.

📝 Notes

Both prompt and video_url are required.
num_frames must satisfy: (num_frames - 1) % 8 == 0 (e.g. 25, 33, 41, 81, 121).
Only the generated extension segment is billed; source video frames are never charged.
Task status values: created, processing, completed, failed.
Generated video URLs are returned in outputs once status is completed.

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Gemini Omni Flash Reference-to-Video

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From$0.112/DETIK

$0.095/DETIK

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Satu API untuk semua AI multimedia.

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Ltx 2.3 Quality Extend Video API

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Template Prompt untuk LLM

LTX 2.3 Quality Extend Video

🌟 Key Features

⏩ Bidirectional Extension

🎨 Style-Consistent Generation

🎞 Frame Rate Matching

🔊 Optional Audio Generation

🔁 Reproducible Results

⚙️ Parameters

Resolution Options

Extend Direction Options

💲 Pricing

💡 Prompt Tips

🎯 Use Cases

📝 Notes

Jelajahi Model Serupa

Sync.so Lipsync v3

VEED Lipsync

Seedance 2.0 Mini Reference-to-Video

Seedance 2.0 Mini Image-to-Video

Seedance 2.0 Mini Text-to-Video

HappyHorse-1.1 Text-to-video

HappyHorse-1.1 Image-to-video

HappyHorse-1.1 Reference-to-video

Gemini Omni Flash Reference-to-Video

Gemini Omni Flash Image-to-Video

Gemini Omni Flash Video Edit

Gemini Omni Flash Text-to-Video

Gemini Omni Flash Reference-to-Video Developer

Avatar Omni Human 1.5

Kling V3.0 Turbo Text-to-Video

Kling V3.0 Turbo Image-to-Video

Satu API untuk semua AI multimedia.

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INPUT

OUTPUT

Parameter

Contoh kode

Instalasi

Autentikasi

HTTP Headers

Kirim permintaan

Kirim Permintaan

Isi Permintaan

Respons

Periksa Status