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Hunyuan3D

tencent/hunyuan-3d/v2/mini-turbo

Hunyuan 3d V2 Mini Turbo by Tencent - convert 2D images into 3D models with AI. Generate textured 3D assets from single photos for games, AR/VR, e-commerce, and digital content creation.

Base price
$0.08USD / run
Execution
async
Model type
image
Input fields
6

Try the model

Playground

Open playground
Input

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of image to use while generating the 3D model.
020
Guidance scale for the model. Range: 0 to 20.
150
Number of inference steps to perform. Range: 1 to 50.
11024
Octree resolution for the model. Range: 1 to 1024.
If set true, textured mesh will be generated and the price charged would be 3 times that of white mesh.
The same seed and the same prompt given to the same version of the model will output the same image every time.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Model card

Specifications

Pricing

Base price
$0.08 / run

Context & modalities

Input
Schema-defined
Output
image

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
Tencent
Model ID
tencent/hunyuan-3d/v2/mini-turbo
Execution
async
Base URL
https://api.sandbase.ai
API
Unified Run API
Endpoint
/v1/run

API README

Hunyuan3D

Hunyuan3D occupies a clearly bounded position in a image production pipeline under the route tencent/hunyuan-3d/v2/mini-turbo. It is best evaluated as a named workflow endpoint rather than as a generic substitute for neighboring versions: planners can assign the route to a specific brief, record the chosen revision, and keep approval history tied to one predictable integration surface from intake through delivery.

A practical rollout of Hunyuan3D should begin with source-readiness checks, ownership of the submitted material, an agreed budget, and a written definition of the final mini turbo deliverable. Before automation is enabled, the acceptance pass should verify that the returned asset opens correctly, fits the intended downstream toolchain, satisfies the project’s review criteria, and can be reproduced from the stored request and route identity tencent/hunyuan-3d/v2/mini-turbo.

Highlights

  • Distinct output behavior. For Hunyuan3D, for Hunyuan3D, use the exact named variant with its documented image-to-3D contract In Hunyuan3D, this capability is applied through the exact tencent/hunyuan-3d/v2/mini-turbo workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route; the seed control exposes the corresponding choice in this route.
  • Creative control. For Hunyuan3D, for Hunyuan3D, provide the image URL that defines the object In Hunyuan3D, this capability is applied through the exact tencent/hunyuan-3d/v2/mini-turbo workflow with image as a relevant request control; the image control exposes the corresponding choice in this route; the image control exposes the corresponding choice in this route.
  • Workflow fit. For Hunyuan3D, for Hunyuan3D, vary guidance, up to 50 steps, and octree resolution as high as 1,024 In Hunyuan3D, this capability is applied through the exact tencent/hunyuan-3d/v2/mini-turbo workflow with textured mesh as a relevant request control; the textured mesh control exposes the corresponding choice in this route; the textured mesh control exposes the corresponding choice in this route.
  • Production detail. For Hunyuan3D, for Hunyuan3D, hold the seed constant while evaluating setting changes In Hunyuan3D, this capability is applied through the exact tencent/hunyuan-3d/v2/mini-turbo workflow with guidance scale as a relevant request control; the guidance scale control exposes the corresponding choice in this route; the guidance scale control exposes the corresponding choice in this route.

Pricing

ConfigurationPrice
Per request$0.08

When to Use

ScenarioWhy this model fits
Choose Hunyuan3DUse it when the required deliverable is specifically the image result documented for tencent/hunyuan-3d/v2/mini-turbo.
Match the source materialSelect this route when your inputs naturally map to seed, image, textured_mesh, guidance_scale.
Use its distinguishing capabilityFor Hunyuan3D, use the exact named variant with its documented image-to-3D contract In Hunyuan3D, this capability is applied through the exact tencent/hunyuan-3d/v2/mini-turbo workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route
Plan repeatable productionFor Hunyuan3D, provide the image URL that defines the object In Hunyuan3D, this capability is applied through the exact tencent/hunyuan-3d/v2/mini-turbo workflow with image as a relevant request control; the image control exposes the corresponding choice in this route
Confirm cost and deliveryUse the pricing combinations below and the output contract above when budgeting or automating Hunyuan3D jobs.

Prompt Guide

Build the request around the exact tencent/hunyuan-3d/v2/mini-turbo schema. Start with required fields, then add only the controls needed for the intended output; keep URLs reachable and enum values exactly as shown in Technical Specs.

{
  "image": "https://static.sandbase.ai/examples/tencent/hunyuan-3d/v2/mini-turbo/input_image_0.png",
  "seed": 0,
  "textured_mesh": false,
  "guidance_scale": 7.5
}

Technical Specs

SpecificationValue
Model IDtencent/hunyuan-3d/v2/mini-turbo
Execution modeasync
Required inputsimage
Request fieldsseed (integer, optional); image (string, required); textured_mesh (boolean, optional); guidance_scale (number, optional, min 0, max 20); octree_resolution (integer, optional, min 1, max 1024); num_inference_steps (integer, optional, min 1, max 50)
Outputurl (string); content_type (string)

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OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Unified Run API endpoint
https://api.sandbase.ai/v1/run
Model ID
tencent/hunyuan-3d/v2/mini-turbo
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "tencent/hunyuan-3d/v2/mini-turbo",
  "image": "https://static.sandbase.ai/examples/tencent/hunyuan-3d/v2/mini-turbo/input_image_0.png",
  "textured_mesh": false,
  "guidance_scale": 7.5,
  "octree_resolution": 256,
  "num_inference_steps": 50
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

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Questions

FAQ

How do I call Tencent Hunyuan3D through SandBase?

Create a SandBase API key, then send requests with the model ID "tencent/hunyuan-3d/v2/mini-turbo" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.

Do I need a separate Tencent account?

No. One SandBase API key and balance gives you access to Tencent Hunyuan3D and the other models in the catalog; you do not need to sign up with Tencent separately.