Hyper3D Rodin v2.5 is a fast AI image-to-3D generation model that turns reference images into production-ready 3D assets with clean meshes, UVs, and textures. Ready-to-use REST inference API for game assets, e-commerce 3D models, product visualization, AR/VR content, digital twins, creative design, and professional 3D asset generation workflows with simple integration, no coldstarts, and affordable pricing.
Boşta
$0.48çalıştırma başına·~20 / $10
Hyper3D Rodin Image-to-3D generates 3D assets from one or more reference images, with optional text guidance and flexible controls for mesh density, texture output, pose, and export format. It is suitable for product concepts, stylized objects, character prototyping, game assets, and other image-to-3D workflows where you want direct control over geometry and material output.
Image-guided 3D generation
Turn one or more reference images into a 3D asset with minimal setup.
Flexible mesh and quality options
Choose between quad and triangle outputs across multiple density levels.
Material and texture control
Generate PBR, shaded, or full material sets depending on your workflow.
Multiple export formats
Export as glb, obj, or stl.
Production-ready workflow
Useful for concept art, product prototyping, game asset generation, and 3D content pipelines.
| Parameter | Required | Description |
|---|---|---|
| images | Yes | Reference images for generating the 3D model. Upload 1–5 images. |
| prompt | No | Optional text prompt. If empty, the model auto-generates a prompt from the images. |
| use_original_alpha | No | Preserve the transparency channel from input images. Default: false. |
| geometry_file_format | No | Output geometry file format. Supported values: glb, obj, stl. Default: glb. |
| material | No | Material output type. Supported values: PBR, Shaded, All. Default: All. |
| quality_and_mesh | No | Combined quality and mesh type selection. Supported values: 4K Quad, 8K Quad, 18K Quad, 50K Quad, 2K Triangle, 20K Triangle, 150K Triangle, 500K Triangle. Default: 500K Triangle. |
| hd_texture | No | Enable enhanced texture post-processing. Default: false. |
| ta_pose | No | Generate characters in T-pose or A-pose format. Default: false. |
| addons | No | Optional add-on. Supported value: HighPack. Enables 4K textures and higher-poly geometry. |
1–5 images of the object, character, or asset you want to generate.quality_and_mesh, geometry_file_format, and material based on your downstream use.hd_texture and related settings.addons = HighPack if you need higher-end texture and geometry output.Generate a clean 3D product model from multiple reference photos, with PBR materials and quad mesh output for downstream rendering or e-commerce visualization.
Pricing is charged per generation.
| Configuration | Cost |
|---|---|
| Standard | $0.48 |
| Standard + HighPack | $1.44 |
HighPack adds an additional $0.96 per generationHighPack only when you need the extra texture and geometry quality, since it increases cost significantly.images is required.prompt is optional; if omitted, the model can infer guidance from the images.HighPack adds an extra fixed charge on top of the base price.geometry_file_format defaults to glb.material defaults to All.quality_and_mesh defaults to 500K Triangle.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/hyper3d/rodin-v2.5/image-to-3d with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Rodin v2.5 Image To 3d below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"use_original_alpha": false,
"geometry_file_format": "glb",
"material": "All",
"quality_and_mesh": "500K Triangle",
"hd_texture": false,
"ta_pose": false,
"addons": "HighPack"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/hyper3d/rodin-v2.5/image-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/hyper3d/rodin-v2.5/image-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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"images": [
"https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
],
"use_original_alpha": false,
"geometry_file_format": "glb",
"material": "All",
"quality_and_mesh": "500K Triangle",
"hd_texture": false,
"ta_pose": false,
"addons": "HighPack"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${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"
],
"use_original_alpha": False,
"geometry_file_format": "glb",
"material": "All",
"quality_and_mesh": "500K Triangle",
"hd_texture": False,
"ta_pose": False,
"addons": "HighPack"
}
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/hyper3d/rodin-v2.5/image-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)Rodin v2.5 Image To 3d is a Hyper3d model for 3D asset generation from images, exposed as a REST API on WaveSpeedAI. Hyper3D Rodin v2.5 is a fast AI image-to-3D generation model that turns reference images into production-ready 3D assets with clean meshes, UVs, and textures. Ready-to-use REST inference API for game assets, e-commerce 3D models, product visualization, AR/VR content, digital twins, creative design, and professional 3D asset generation workflows with simple integration, no coldstarts, and 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/hyper3d/rodin-v2.5/image-to-3d.
Rodin v2.5 Image To 3d starts at $0.48 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: `prompt`, `images`, `addons`, `geometry_file_format`, `hd_texture`, `material`. 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/hyper3d/rodin-v2.5/image-to-3d.
Reported generation time on WaveSpeedAI is around 126 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Hyper3d). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.