Tripo3D H3.1 Multiview to 3D API: 3D Model Generation

Tripo3D H3.1 Multiview to 3D API Reference

Endpoint

POST https://api.muapi.ai/api/v1/tripo3d-h31-multiview-to-3d

Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
images_list	array	Yes	2-4 reference images from different angles.
texture	boolean	No	Generate textures alongside the mesh.Default: true
texture_quality	string	No	Standard or detailed texture quality.Options: standard, detailedDefault: "standard"
geometry_quality	string	No	Detailed geometry adds finer surface detail (+$0.20).Options: standard, detailedDefault: "standard"
pbr	boolean	No	Enable physically based rendering materials.Default: false
quad	boolean	No	Generate quad topology mesh (+$0.05).Default: false
auto_size	boolean	No	Automatically scale the model.Default: false
face_limit	int	No	Target polygon count.

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/tripo3d-h31-multiview-to-3d \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"images_list":[]}' | jq -r .request_id)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python example

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/tripo3d-h31-multiview-to-3d", headers=headers, json={"images_list":[]})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.