Gofta v1: 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":"arpanet/gofta-v1","input":{"text":"YOUR_TEXT"}}'

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": "arpanet/gofta-v1", "input": {"text":"YOUR_TEXT"}})
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: "arpanet/gofta-v1", input: {"text":"YOUR_TEXT"} }),
});
const { id } = await res.json();