Transform your sketches into detailed 3D models with Tencent's Hunyuan3D V3. Convert hand-drawn sketches and concept art into high-quality 3D assets with textures, perfect for rapid prototyping and game development. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.375per run·~26 / $10
Hunyuan3D v3 Sketch-to-3D turns a sketch or line drawing into a 3D asset you can preview and download. It’s designed for fast iteration: provide a clear sketch, optionally add a short text description (materials, colors, style), and get back a mesh you can refine.
This wrapper uses the Sketch task type, where a sketch image and a prompt can be provided together to guide both shape and appearance.
Sketch-conditioned 3D generation Generates a 3D model from a sketch/line drawing input.
Prompt-guided appearance control Add a prompt to clarify object identity, material, and style. In Sketch mode, prompt + image work together.
Optional PBR materials Enable PBR output when you need more realistic materials (typical metallic/roughness workflows).
Mesh complexity control
Set a target face_count to trade off detail vs. runtime and editability.
Asynchronous job workflow Submit a job, then poll status until it finishes. Results include downloadable files and preview URLs.
Sketches often don’t contain enough information for materials, color, and surface detail. Use prompt to fill in what the sketch doesn’t say.
Tips:
Example prompts:
Input
enable_pbr
Type: boolean
Default: false
What it does: generates PBR materials when enabled.
When to use:
false for faster previews, simpler assets, or when you’ll re-shade in a 3D tool.
true when you want more realistic materials out of the box.
face_count
Type: integer
Default: 500000
Range: 40000–1500000
What it does: requests a target face count for the generated mesh.
Typical guidance:
40000–150000: mobile / real-time previews
150000–600000: general-purpose assets
600000–1500000: close-ups or heavier editing
After you finish configuring the parameters, click Run, preview the result, and iterate if needed.
$0.375 per run.
face_count may take longer to finish.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d-v3/sketch-to-3d 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 v3 Sketch To 3d below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d-v3/sketch-to-3d" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"enable_pbr": false,
"face_count": 500000
}'
# 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-v3/sketch-to-3d", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"enable_pbr": false,
"face_count": 500000
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/hunyuan3d-v3/sketch-to-3d",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"enable_pbr": false,
"face_count": 500000
}
)
print(output["outputs"][0]) # → URL of the generated outputHunyuan3d v3 Sketch To 3d is a WaveSpeedAI model for 3D asset generation from images, exposed as a REST API on WaveSpeedAI. Transform your sketches into detailed 3D models with Tencent's Hunyuan3D V3. Convert hand-drawn sketches and concept art into high-quality 3D assets with textures, perfect for rapid prototyping and game development. 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-v3-sketch-to-3d.
Hunyuan3d v3 Sketch To 3d starts at $0.38 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: `prompt`, `image`, `enable_pbr`, `face_count`. 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-v3-sketch-to-3d.
Average end-to-end generation time on WaveSpeedAI is around 165 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.