ltx/ltx-2.5-pro/audio-to-video

audio-to-video

PRO

LTX 2.5 Pro Audio-to-Video API by LTX

ltx/ltx-2.5-pro/audio-to-video

Audio-to-video

LTX-2.5 Pro audio-to-video (Lightricks LTX-2 native API): generate video synchronized to a driving audio track (dialogue/music/ambient); the audio sets the length. Up to 4K at 24/48 fps.

LTX 2.5 Pro Audio-to-Video is developed by a third-party provider. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.

INPUT

Prompt

Audio *

You can drag and drop a file or click to upload

MAX:1

Image

You can drag and drop a file or click to upload

MAX:1

Last Image

You can drag and drop a file or click to upload

MAX:1

Resolution

Aspect Ratio

Frame rate

Camera motion

OUTPUT

Idle

Your generated videos will appear here

Configure your settings and click Run to get started

Your request will cost $0.12 per run. For $10 you can run this model approximately 83 times.

Here's what you can do next:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameters

Code Example
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/ltx-2.5-pro/audio-to-video",  # Required. Model name
    "audio": "example_value",  # Required. Driving audio track (MP3 / M4A / OGG)
    "image": "example_value",  # Optional first-frame image (URL / Base64 / asset://) for visual direction
    "last_image": "example_value",  # Optional last-frame image (URL / Base64 / asset://); requires image
    "prompt": "A person speaking to camera, natural expression, cinematic lighting.",  # Text prompt
    "resolution": "1080p",  # Output resolution tier. options: 720p | 1080p | 1440p | 4k
    "aspect_ratio": "16:9",  # Frame orientation: 16:9 landscape or 9:16 portrait. options: 16:9 | 9:16
    "fps": 24,  # Frames per second. options: 24 | 25 | 48 | 50
    "camera_motion": "example_value",  # Optional camera movement directive applied to the shot
}

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()

Install

Install the required package for your language.

pip install requests

Authentication

All API requests require authentication via an API key. You can get your API key from the Atlas Cloud dashboard.

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}"
}

Keep your API key secure

Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy instead.

Submit a request

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())

Submit a Request

Submit an asynchronous generation request. The API returns a prediction ID that you can use to check the status and retrieve the result.

POST/api/v1/model/generateVideo

Request Body

import requests

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

data = {
    "model": "ltx/ltx-2.5-pro/audio-to-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']}")

Response

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

Check Status

Poll the prediction endpoint to check the current status of your request.

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

Polling Example

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)

Status Values

processingThe request is still being processed.

completedGeneration is complete. Outputs are available.

succeededGeneration succeeded. Outputs are available.

failedGeneration failed. Check the error field.

Completed Response

{
  "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"
  }
}

Upload Files

Upload files to Atlas Cloud storage and get a URL you can use in your API requests. Use multipart/form-data to upload.

POST/api/v1/model/uploadMedia

Upload Example

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}")

Response

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

Input Schema

The following parameters are accepted in the request body.

Total: 9Required: 2Optional: 7

modelstringrequired

Model name.

Default: "ltx/ltx-2.5-pro/audio-to-video"

audiostringrequired

Driving audio track (MP3 / M4A / OGG). WAV is only supported when it wraps AAC-LC / MP3 / Vorbis / FLAC — plain PCM WAV is rejected. Audio duration must be within 10 seconds.

imagestring

Optional first-frame image (URL / Base64 / asset://) for visual direction. Required if prompt is empty.

last_imagestring

Optional last-frame image (URL / Base64 / asset://); requires image. When set, the clip interpolates from the first frame to this frame.

promptstring

Text prompt. Required if image is not provided; when image is set, describes how the image should be animated (may be empty).

Default: "A person speaking to camera, natural expression, cinematic lighting."

resolutionstring

Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). If omitted, LTX derives it from the input image.

Default: "1080p"

720p1080p1440p4k

aspect_ratiostring

Frame orientation: 16:9 landscape or 9:16 portrait.

Default: "16:9"

16:99:16

fpsinteger

Frames per second. Defaults to 24.

Default: 24

24254850

camera_motionstring

Optional camera movement directive applied to the shot.

dolly_indolly_outdolly_leftdolly_rightjib_upjib_downstaticfocus_shift

Example Request Body

{
  "model": "ltx/ltx-2.5-pro/audio-to-video",
  "audio": "example_audio",
  "prompt": "A person speaking to camera, natural expression, cinematic lighting.",
  "resolution": "1080p",
  "aspect_ratio": "16:9",
  "fps": 24
}

Output Schema

The API returns a prediction response with the generated output URLs.

codeinteger

messagestring

dataunknown

Example Response

{
  "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 integrates 400+ AI models directly into your AI coding assistant. One command to install, then use natural language to generate images, videos, and chat with LLMs.

Supported Clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ supported clients

Install

npx skills add AtlasCloudAI/atlas-cloud-skills

Setup API Key

Get your API key from the Atlas Cloud dashboard and set it as an environment variable.

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

Capabilities

Once installed, you can use natural language in your AI assistant to access all Atlas Cloud models.

Image GenerationGenerate images with models like Nano Banana 2, Z-Image, and more.

Video CreationCreate videos from text or images with Kling, Vidu, Veo, etc.

LLM ChatChat with Qwen, DeepSeek, and other large language models.

Media UploadUpload local files for image editing and image-to-video workflows.

Learn more

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server connects your IDE with 400+ AI models via the Model Context Protocol. Works with any MCP-compatible client.

Supported Clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ supported clients

Install

npx -y atlascloud-mcp

Configuration

Add the following configuration to your IDE's MCP settings file.

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

Available Tools

atlas_generate_imageGenerate images from text prompts.

atlas_generate_videoCreate videos from text or images.

atlas_chatChat with large language models.

atlas_list_modelsBrowse 400+ available AI models.

atlas_quick_generateOne-step content creation with auto model selection.

atlas_upload_mediaUpload local files for API workflows.

Learn more

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "LTX-2.5 Pro audio-to-video (Lightricks LTX-2 native API)."
  },
  "paths": {
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    },
    "/api/v1/model/generateVideo": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "required": [
          "model",
          "audio"
        ],
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "ltx/ltx-2.5-pro/audio-to-video"
          },
          "audio": {
            "type": "string",
            "x-accept": ".mp3,.m4a,.ogg",
            "description": "Driving audio track (MP3 / M4A / OGG). WAV is only supported when it wraps AAC-LC / MP3 / Vorbis / FLAC — plain PCM WAV is rejected. Audio duration must be within 10 seconds."
          },
          "image": {
            "type": "string",
            "description": "Optional first-frame image (URL / Base64 / asset://) for visual direction. Required if prompt is empty."
          },
          "last_image": {
            "type": "string",
            "description": "Optional last-frame image (URL / Base64 / asset://); requires image. When set, the clip interpolates from the first frame to this frame."
          },
          "prompt": {
            "type": "string",
            "default": "A person speaking to camera, natural expression, cinematic lighting.",
            "description": "Text prompt. Required if image is not provided; when image is set, describes how the image should be animated (may be empty)."
          },
          "resolution": {
            "type": "string",
            "default": "1080p",
            "enum": [
              "720p",
              "1080p",
              "1440p",
              "4k"
            ],
            "description": "Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). If omitted, LTX derives it from the input image."
          },
          "aspect_ratio": {
            "type": "string",
            "default": "16:9",
            "enum": [
              "16:9",
              "9:16"
            ],
            "description": "Frame orientation: 16:9 landscape or 9:16 portrait."
          },
          "fps": {
            "type": "integer",
            "default": 24,
            "enum": [
              24,
              25,
              48,
              50
            ],
            "description": "Frames per second. Defaults to 24."
          },
          "camera_motion": {
            "type": "string",
            "enum": [
              "dolly_in",
              "dolly_out",
              "dolly_left",
              "dolly_right",
              "jib_up",
              "jib_down",
              "static",
              "focus_shift"
            ],
            "description": "Optional camera movement directive applied to the shot."
          }
        },
        "x-order-properties": [
          "model",
          "audio",
          "image",
          "last_image",
          "prompt",
          "resolution",
          "aspect_ratio",
          "fps",
          "camera_motion"
        ]
      },
      "PredictionData": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Unique identifier for the prediction."
          },
          "urls": {
            "type": "object",
            "description": "Object containing related API endpoints."
          },
          "model": {
            "type": "string",
            "description": "Model ID used for the prediction."
          },
          "status": {
            "type": "string",
            "description": "Status: processing, completed, failed, or timeout."
          },
          "outputs": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "URLs to the generated video."
          },
          "created_at": {
            "type": "string",
            "format": "date-time",
            "description": "ISO timestamp of creation."
          },
          "completion_tokens": {
            "type": "integer",
            "description": "Tokens consumed for billing."
          },
          "total_tokens": {
            "type": "integer",
            "description": "Total tokens consumed."
          }
        }
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "code": {
            "type": "integer"
          },
          "message": {
            "type": "string"
          },
          "data": {
            "$ref": "#/components/schemas/PredictionData"
          }
        }
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

LLM-Friendly Prompt Template

# ltx/ltx-2.5-pro/audio-to-video

> LTX-2.5 Pro audio-to-video (Lightricks LTX-2 native API): generate video synchronized to a driving audio track (dialogue/music/ambient); the audio sets the length. Up to 4K at 24/48 fps.


## 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/ltx-2.5-pro/audio-to-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/ltx-2.5-pro/audio-to-video"`

- **`audio`** (`string`, _required_):
  Driving audio track (MP3 / M4A / OGG). WAV is only supported when it wraps AAC-LC / MP3 / Vorbis / FLAC — plain PCM WAV is rejected. Audio duration must be within 10 seconds.

- **`image`** (`string`, _optional_):
  Optional first-frame image (URL / Base64 / asset://) for visual direction. Required if prompt is empty.

- **`last_image`** (`string`, _optional_):
  Optional last-frame image (URL / Base64 / asset://); requires image. When set, the clip interpolates from the first frame to this frame.

- **`prompt`** (`string`, _optional_):
  Text prompt. Required if image is not provided; when image is set, describes how the image should be animated (may be empty).
  - Default: `"A person speaking to camera, natural expression, cinematic lighting."`

- **`resolution`** (`string`, _optional_):
  Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). If omitted, LTX derives it from the input image.
  - Default: `"1080p"`
  - Options: "720p", "1080p", "1440p", "4k"

- **`aspect_ratio`** (`string`, _optional_):
  Frame orientation: 16:9 landscape or 9:16 portrait.
  - Default: `"16:9"`
  - Options: "16:9", "9:16"

- **`fps`** (`integer`, _optional_):
  Frames per second. Defaults to 24.
  - Default: `24`
  - Options: 24, 25, 48, 50

- **`camera_motion`** (`string`, _optional_):
  Optional camera movement directive applied to the shot.
  - Options: "dolly_in", "dolly_out", "dolly_left", "dolly_right", "jib_up", "jib_down", "static", "focus_shift"



**Required Parameters Example**:

```json
{
  "model": "ltx/ltx-2.5-pro/audio-to-video",
  "audio": ""
}
```


**Full Example**:

```json
{
  "model": "ltx/ltx-2.5-pro/audio-to-video",
  "audio": "",
  "image": "",
  "last_image": "",
  "prompt": "A person speaking to camera, natural expression, cinematic lighting.",
  "resolution": "1080p",
  "aspect_ratio": "16:9",
  "fps": 24,
  "camera_motion": "dolly_in"
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):

- **`message`** (`string`, _optional_):

- **`data`** (`string`, _optional_):



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": null
}
```


## 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/ltx-2.5-pro/audio-to-video",
  "audio": "",
  "image": "",
  "last_image": "",
  "prompt": "A person speaking to camera, natural expression, cinematic lighting.",
  "resolution": "1080p",
  "aspect_ratio": "16:9",
  "fps": 24,
  "camera_motion": "dolly_in"
}'

# 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/ltx-2.5-pro/audio-to-video)

A person speaking to camera, natural expression, cinematic lighting.

1. Introduction

LTX-2.5 Pro Audio-to-Video is served through the native Lightricks LTX-2 API (api.ltx.io). This README covers a single API model identifier:

ltx/ltx-2.5-pro/audio-to-video

Audio-to-video generates visuals synchronized to a driving audio track — dialogue, music, or ambient sound. The audio sets the length of the generated video. Optionally condition on a first-frame image for visual direction, a last frame for interpolation, and a camera-motion directive. Requests are processed asynchronously (submit + poll) and delivered as a finished MP4 on AtlasCloud storage.

2. Key Features

Audio-Driven Generation: Visuals are synchronized to the supplied audio; the audio also sets the output length.
Optional Image Conditioning: Provide image (first frame) for visual direction, and last_image to interpolate first→last. If no image is given, prompt drives the content.
Up to 4K, 24/48 fps: 720p / 1080p / 1440p / 4K in landscape (16:9) or portrait (9:16).
Camera Control: Optional camera_motion directive (dolly, jib, focus shift, static).
Billed by Input Audio: Charged per second of the input audio (which equals the output length).

3. Support Matrix

Resolution	Landscape	Portrait	Max input audio
720p	1280x720	720x1280	10s
1080p	1920x1080	1080x1920	10s
1440p	2560x1440	1440x2560	10s
4K	3840x2160	2160x3840	10s

Either prompt or image must be provided. The input audio duration must not exceed the maximum shown for the chosen resolution.

4. Parameters

The request body matches this model's schema exactly:

Parameter	Type	Required	Default	Notes
`audio`	string	Yes		Driving audio track: URL, Base64, or asset reference (asset://<ASSET_ID>). The audio sets the generated video length; it must not exceed the model's maximum at the chosen resolution.
`image`	string	No		Optional first-frame image (URL / Base64 / asset://) for visual direction. Required if prompt is empty.
`last_image`	string	No		Optional last-frame image (URL / Base64 / asset://); requires image. When set, the clip interpolates from the first frame to this frame.
`prompt`	string	No	`A person speaking to camera, natural expression, cinematic lighting.`	Text prompt. Required if image is not provided; when image is set, describes how the image should be animated (may be empty).
`resolution`	string	No	`1080p`	One of: `720p`, `1080p`, `1440p`, `4k`. Output resolution tier. Combined with aspect_ratio to select the exact frame size (720p→1280x720, 1080p→1920x1080, 1440p→2560x1440, 4k→3840x2160; portrait 9:16 swaps width/height). If omitted, LTX derives it from the input image.
`aspect_ratio`	string	No	`16:9`	One of: `16:9`, `9:16`. Frame orientation: 16:9 landscape or 9:16 portrait.
`fps`	integer	No	`24`	One of: `24`, `48`. Frames per second. Defaults to 24.
`camera_motion`	string	No		One of: `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `focus_shift`. Optional camera movement directive applied to the shot.

5. Intended Use & Applications

Talking-Head & Dialogue Video: Drive a speaking character from a voice track, optionally starting from a portrait image.
Music-Driven Clips: Generate visuals timed to a music track.
Lip-Sync & Performance: Sync facial/character motion to supplied speech.
Social & Vertical Content: Native 9:16 portrait output for short-form platforms.

LTX 2.5 Pro Audio-to-Video API by LTX

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response

Atlas Cloud Skills

Supported Clients

Install

Setup API Key

Capabilities

MCP Server

Supported Clients

Install

Configuration

Available Tools

API Schema

LLM-Friendly Prompt Template

1. Introduction

2. Key Features

3. Support Matrix

4. Parameters

5. Intended Use & Applications

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One API for All Media AI.

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response