p-image-upscale: مدل تولید تصویر

# Create the prediction, then poll until succeeded
curl -s https://api.hormouz.net/v1/predictions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"version":"prunaai/p-image-upscale","input":{"image":"https://example.com/input.jpg"}}'

import requests
BASE = "https://api.hormouz.net/v1"
H = {"Authorization": "Bearer ng-YOUR_API_KEY", "Content-Type": "application/json"}
r = requests.post(f"{BASE}/predictions", headers=H,
    json={"version": "prunaai/p-image-upscale", "input": {"image":"https://example.com/input.jpg"}})
print(r.json()["id"])

const BASE = "https://api.hormouz.net/v1";
const res = await fetch(`${BASE}/predictions`, {
  method: "POST",
  headers: { Authorization: "Bearer ng-YOUR_API_KEY", "Content-Type": "application/json" },
  body: JSON.stringify({ version: "prunaai/p-image-upscale", input: {"image":"https://example.com/input.jpg"} }),
});
const { id } = await res.json();