Uncensored AI
Image & Video
Generation API

import requests, base64 # Encode image to base64 with open("input.jpg", "rb") as f: img_b64 = base64.b64encode(f.read()).decode() # Generate video from image resp = requests.post( "https://api.crebots.com/api/create_video", headers={"API-KEY": API_KEY}, json={ "input_image_base64": img_b64, "preset_name": "default", "quality": "high" } ) task_id = resp.json()["id"] print(f"Task submitted: {task_id}") # Poll for result result = requests.get( f"https://api.crebots.com/api/task/{task_id}", headers={"API-KEY": API_KEY} ).json() print(result["output_url"]) # direct download link

import { readFileSync } from 'fs'; const imgBase64 = readFileSync('input.jpg').toString('base64'); const { id } = await fetch('https://api.crebots.com/api/create_video', { method: 'POST', headers: { 'API-KEY': API_KEY, 'Content-Type': 'application/json' }, body: JSON.stringify({ input_image_base64: imgBase64, preset_name: 'default', quality: 'high' }) }).then(r => r.json()); console.log(`Task: ${id}`);

# Submit image-to-image transformation curl -X POST https://api.crebots.com/api/create_image \ -H "API-KEY: $API_KEY" \ -H "Content-Type: application/json" \ -d "{ \"input_image_base64\": \"$(base64 -i photo.jpg)\", \"preset_name\": \"undress\" }" # Response: # {"id": "abc-123", "status": "NEW", "preset_name": "undress", ...}