Hunyuan3D
tencent/hunyuan-3d/v2/mini-turboHunyuan 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
PNG, JPEG, WebP, or GIF · 20 MiB maximum
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
| Configuration | Price |
|---|---|
| Per request | $0.08 |
When to Use
| Scenario | Why this model fits |
|---|---|
| Choose Hunyuan3D | Use it when the required deliverable is specifically the image result documented for tencent/hunyuan-3d/v2/mini-turbo. |
| Match the source material | Select this route when your inputs naturally map to seed, image, textured_mesh, guidance_scale. |
| Use its distinguishing capability | 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 |
| Plan repeatable production | 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 |
| Confirm cost and delivery | Use 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
| Specification | Value |
|---|---|
| Model ID | tencent/hunyuan-3d/v2/mini-turbo |
| Execution mode | async |
| Required inputs | image |
| Request fields | seed (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) |
| Output | url (string); content_type (string) |
Related Models
Start building
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
# 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"Choose your model
Compare models
| Model | Type | Default price | Released |
|---|---|---|---|
Hunyuan3DThis model Tencent | Image | $0.08 / run | Mar 20, 2025 |
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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.
