Tripo3D H3.0 Multiview-to-3D turns 2 to 4 views of one object into a 3D model with Tripo's previous-generation H3.0 model (up to 2 million faces), kept for consistency with earlier assets. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.36per run·~27 / $10
Tripo3D H3.0 Multiview-to-3D turns 2 to 4 views of one object into a 3D model with Tripo's previous-generation H3.0 model (up to 2 million faces), kept for consistency with earlier assets, powered by Tripo.
Official Tripo models The same Tripo models used in Tripo Studio, served as a REST API.
Production-ready output Download the result as a 3D file ready for game engines, DCC tools, AR and 3D printing.
Pay per task No subscription; you pay only for what you run.
| Parameter | Required | Description |
|---|---|---|
| images | Yes | 2 to 4 images of the same object, in the order front, left, back, right. The front view is required. |
| texture | No | Generate texture maps. Turn off (with pbr) for an untextured model at a lower price. Default: true. |
| pbr | No | Generate PBR materials (base color, metallic, roughness, normal). Turning it on also turns on texture. Default: true. |
| texture_quality | No | Texture quality: standard, detailed (high resolution), extreme (8K) or fast (same size as standard, quicker; uses texture model v3.5-20260815). Options: standard, detailed, extreme, fast. Default: standard. |
| texture_version | No | Texture model. v3.5-20260815 is the newest; the fast quality and delight use it. Options: v3.0-20250812, v3.5-20260815. Default: v3.0-20250812. |
| delight | No | Remove the lighting baked into the source before texturing (texture model v3.5-20260815 only). Default: true. |
| geometry_quality | No | Geometry quality: standard or detailed (Ultra, up to 2 million faces). Options: standard, detailed. Default: standard. |
| quad | No | Output a quad mesh (FBX). Without a face_limit it targets 10,000 faces. Default: false. |
| smart_low_poly | No | Generate a low-poly mesh with hand-crafted style topology. Best for simple objects. Default: false. |
| generate_parts | No | Generate the model as separate editable parts. Parts are untextured and triangle-only. Default: false. |
| face_limit | No | Maximum number of faces. Omit for adaptive. Up to 1,000,000 (2,000,000 with detailed geometry, 150,000 with quad; 500 to 20,000 with smart_low_poly). |
| texture_alignment | No | What the texture follows: the source image colors or the generated geometry. Options: original_image, geometry. Default: original_image. |
| orientation | No | align_image rotates the model to the source image viewpoint (textured models only). Options: default, align_image. Default: default. |
| enable_image_autofix | No | Improve a low-quality source image before generation. Takes longer. Default: false. |
| auto_size | No | Scale the model to real-world size in meters. Needs a textured model. Default: false. |
| export_uv | No | Unwrap UVs during generation. Turn off for faster generation and a smaller file. Default: true. |
| model_seed | No | Seed for the geometry: the same seed and input give the same mesh. |
| texture_seed | No | Seed for the texture: keep model_seed and change texture_seed for new textures on the same mesh. |
Untextured $0.24; textured $0.36. Add-ons: detailed texture +$0.12, extreme (8K) texture +$0.24, detailed geometry +$0.24, quad +$0.06, smart_low_poly +$0.12, generate_parts +$0.24 (parts are untextured). fast costs the same as standard.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/tripo3d/h3.0/multiview-to-3d with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for H3.0 Multiview To 3d below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"texture": true,
"pbr": true,
"texture_quality": "standard",
"texture_version": "v3.0-20250812",
"delight": true,
"geometry_quality": "standard",
"quad": false,
"smart_low_poly": false,
"generate_parts": false,
"texture_alignment": "original_image",
"orientation": "default",
"enable_image_autofix": false,
"auto_size": false,
"export_uv": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/tripo3d/h3.0/multiview-to-3d" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/tripo3d/h3.0/multiview-to-3d";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"texture": true,
"pbr": true,
"texture_quality": "standard",
"texture_version": "v3.0-20250812",
"delight": true,
"geometry_quality": "standard",
"quad": false,
"smart_low_poly": false,
"generate_parts": false,
"texture_alignment": "original_image",
"orientation": "default",
"enable_image_autofix": false,
"auto_size": false,
"export_uv": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"texture": True,
"pbr": True,
"texture_quality": "standard",
"texture_version": "v3.0-20250812",
"delight": True,
"geometry_quality": "standard",
"quad": False,
"smart_low_poly": False,
"generate_parts": False,
"texture_alignment": "original_image",
"orientation": "default",
"enable_image_autofix": False,
"auto_size": False,
"export_uv": True
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/tripo3d/h3.0/multiview-to-3d", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout", "deleted"}:
raise RuntimeError(result)
time.sleep(2)H3.0 Multiview To 3d is a Tripo3D model for 3D asset generation from images, exposed as a REST API on WaveSpeedAI. Tripo3D H3.0 Multiview-to-3D turns 2 to 4 views of one object into a 3D model with Tripo's previous-generation H3.0 model (up to 2 million faces), kept for consistency with earlier assets. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/tripo3d/tripo3d-h3.0-multiview-to-3d.
H3.0 Multiview To 3d starts at $0.36 per run or per second. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `images`, `auto_size`, `delight`, `enable_image_autofix`, `export_uv`, `face_limit`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/tripo3d/tripo3d-h3.0-multiview-to-3d.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (Tripo3D). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.