Tencent Hunyuan3D v2.1 is a scalable 3D asset-creation system that advances state-of-the-art 3D generation for asset workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Inattivo
$0.4per esecuzione·~25 / $10

Hunyuan3D V2.1 is Tencent's advanced image-to-3D generation model. Upload a single photo and the model reconstructs it as a detailed, textured 3D asset — ready for use in games, product visualization, AR/VR, and creative pipelines.
Single-image 3D reconstruction Generate a fully textured 3D model from just one reference photo — no multi-view capture or manual modeling required.
High geometric fidelity Accurately reconstructs object shape, surface detail, and proportions from the input image.
Rich texture output Produces clean, high-quality textures that closely match the colors and materials in the source photo.
Production-ready assets Output is suitable for direct use in game engines, 3D editors, and AR/VR workflows.
Just $0.40 per generation.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d/v2.1 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Hunyuan3d v2.1 below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d/v2.1" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/hunyuan3d/v2.1", {
"image": "https://example.com/your-input.jpg"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/hunyuan3d/v2.1",
{
"image": "https://example.com/your-input.jpg"
}
)
print(output["outputs"][0]) # → URL of the generated outputHunyuan3d v2.1 is a WaveSpeedAI model for 3D asset generation from images, exposed as a REST API on WaveSpeedAI. Tencent Hunyuan3D v2.1 is a scalable 3D asset-creation system that advances state-of-the-art 3D generation for asset workflows. 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/hunyuan3d-v2.1.
Hunyuan3d v2.1 starts at $0.40 per run. 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: `image`. 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/wavespeed-ai/hunyuan3d-v2.1.
Average end-to-end generation time on WaveSpeedAI is around 1683 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.