Text to 3D Model
Describe the 3D model you want in your own words.
Flows API
Generate 3D models of products
from text prompts, images, and documents
— all through a simple REST API.
Generate a 3D model— in three steps
- Create a new flow.
- Wait until it is complete.
- Download the 3D model.
quickstart.py
import base64
import requests
import time
API_KEY = "your-api-key-here"
BASE_URL = "https://flows.generio.ai"
headers = {"Authorization": f"Bearer {API_KEY}"}
payload = {
"template": "model_generate_fromprompt",
"parameters": {"quality": "high"},
"inputs": [{"data": "A modern office chair"}],
}
### Create a new flow
flow = requests.post(
f"{BASE_URL}/flows",
headers=headers,
json=payload
).json()
flow_url = f"{BASE_URL}/flows/{flow['flow_id']}"
### Wait until the flow is complete (polling)
while True:
status = requests.get(flow_url, headers=headers).json()
if status["state"] != "running":
break
time.sleep(5)
if status["state"] != "completed":
raise SystemExit(status["state"])
### Download your 3D model
asset_id = requests.get(
f"{flow_url}/outputs",
headers=headers
).json()["outputs"][0]["asset_id"]
data = requests.get(
f"{flow_url}/outputs/{asset_id}?include_data=true",
headers=headers,
).json()["data"]
binary = base64.b64decode(data.split(",", 1)[1])
with open(f"model_{asset_id}.glb", "wb") as f:
f.write(binary)Community & Support
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