Video Generation

Overview

Atlas Cloud provides access to industry-leading AI video generation models through a unified API. Generate high-quality videos from text prompts, images, or existing video clips with just a single API call.

Supported Model Types

Type	Description	Use Cases
Text-to-Video	Generate videos from text descriptions	Creative content, marketing, prototyping
Image-to-Video	Animate static images into dynamic videos	Product demos, character animation, scene creation
Video-to-Video	Transform and enhance existing videos	Style transfer, video enhancement, effects
Audio-to-Video	Generate videos synchronized with audio	Music videos, podcast visuals, presentations

Featured Models

Model	Provider	Highlights
Kling	KwaiVGI	High-quality video generation with precise motion control, multiple versions available
Vidu	Vidu	Next-generation video AI with cinematic quality
Seedance	ByteDance	Advanced dance and motion video generation
Wan	Alibaba	Powerful video generation with strong prompt following
Hailuo	MiniMax	Creative video generation with diverse styles
Luma	Luma AI	Professional-grade AI video generation
PixVerse	PixVerse	Versatile video generation and editing

For a complete list of all video models and their specifications, visit the Model Library.

API Usage

Text-to-Video

import requests

response = requests.post(
    "https://api.atlascloud.ai/api/v1/model/generateVideo",
    headers={
        "Authorization": "Bearer your-api-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "kling-v2.0",
        "prompt": "A rocket launching into space with dramatic lighting and smoke effects"
    }
)

prediction_id = response.json().get("predictionId")
print(f"Task submitted. Prediction ID: {prediction_id}")

Image-to-Video

For image-to-video workflows, first upload your source image using the Upload Media endpoint, then pass the returned URL to the video generation request:

import requests

# Step 1: Upload source image
upload_response = requests.post(
    "https://api.atlascloud.ai/api/v1/model/uploadMedia",
    headers={"Authorization": "Bearer your-api-key"},
    files={"file": open("source_image.jpg", "rb")}
)
image_url = upload_response.json().get("url")

# Step 2: Generate video from image
response = requests.post(
    "https://api.atlascloud.ai/api/v1/model/generateVideo",
    headers={
        "Authorization": "Bearer your-api-key",
        "Content-Type": "application/json"
    },
    json={
        "model": "kling-v2.0",
        "prompt": "The person in the image starts walking forward",
        "image_url": image_url
    }
)

prediction_id = response.json().get("predictionId")

Check Generation Status

Video generation is asynchronous. Use the prediction ID to poll for results:

import requests
import time

def get_result(prediction_id, api_key):
    while True:
        response = requests.get(
            f"https://api.atlascloud.ai/api/v1/model/getResult?predictionId={prediction_id}",
            headers={"Authorization": f"Bearer {api_key}"}
        )
        result = response.json()

        if result.get("status") == "completed":
            return result.get("output")
        elif result.get("status") == "failed":
            raise Exception(f"Generation failed: {result.get('error')}")

        time.sleep(5)  # Poll every 5 seconds

output = get_result(prediction_id, "your-api-key")
print(f"Video URL: {output}")

Node.js Example

const response = await fetch(
  "https://api.atlascloud.ai/api/v1/model/generateVideo",
  {
    method: "POST",
    headers: {
      Authorization: "Bearer your-api-key",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      model: "kling-v2.0",
      prompt: "A beautiful timelapse of clouds moving over a mountain range",
    }),
  }
);

const { predictionId } = await response.json();
console.log(`Task submitted. Prediction ID: ${predictionId}`);

Model Selection Tips

Quality vs Speed: Newer model versions (e.g., Kling v3.0) typically offer better quality but may have longer generation times
Motion Control: Some models offer better control over camera movement and subject motion
Style: Different models excel at different styles — photorealistic, anime, cinematic, etc.
Resolution & Duration: Check each model's supported resolutions and maximum video duration on its detail page

Browse and compare models on the Model Library. Each model page includes an interactive playground for testing and detailed parameter documentation.

For the full API specification, see the API Reference.

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