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", ...}