LCM animation Time Lapse Generator

import requests
import time

API_KEY = "YOUR_API_KEY"  # Replace with your API key
HEADERS = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json"
}

def create_prediction():
    response = requests.post(
        "https://api.eachlabs.ai/v1/prediction/",
        headers=HEADERS,
        json={
            "model": "lcm-animation",
            "version": "0",
            "input": {
  "seed": null,
  "image": "your_file.image/jpeg",
  "width": "512",
  "height": "512",
  "end_prompt": "Self-portrait watercolour, a beautiful cyborg with purple hair, 8k",
  "iterations": "12",
  "start_prompt": "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k",
  "return_frames": false,
  "guidance_scale": "8",
  "zoom_increment": "0",
  "prompt_strength": "0.2",
  "canny_low_threshold": "100",
  "num_inference_steps": "8",
  "canny_high_threshold": "200",
  "control_guidance_end": "1",
  "use_canny_control_net": "True",
  "control_guidance_start": "0",
  "controlnet_conditioning_scale": "2"
}
        }
    )
    prediction = response.json()
    
    if prediction["status"] != "success":
        raise Exception(f"Prediction failed: {prediction}")
    
    return prediction["predictionID"]

def get_prediction(prediction_id):
    while True:
        result = requests.get(
            f"https://api.eachlabs.ai/v1/prediction/{prediction_id}",
            headers=HEADERS
        ).json()
        
        if result["status"] == "success":
            return result
        elif result["status"] == "error":
            raise Exception(f"Prediction failed: {result}")
        
        time.sleep(1)  # Wait before polling again

try:
    # Create prediction
    prediction_id = create_prediction()
    print(f"Prediction created: {prediction_id}")
    
    # Get result
    result = get_prediction(prediction_id)
    print(f"Output URL: {result['output']}")
    print(f"Processing time: {result['metrics']['predict_time']}s")
except Exception as e:
    print(f"Error: {e}")