Tripo3d V2.5 Image To 3d
Playground
Try it on WavespeedAI!Tripo3D v2.5 converts a single image into high-quality 3D assets, enabling rapid 3D model creation from photos. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Tripo3D V2.5 — Image-to-3D
Tripo3D V2.5 Image-to-3D is a powerful AI-powered 3D model generation tool that transforms 2D images into detailed 3D models. Upload any image — characters, objects, products, or artwork — and get a ready-to-use 3D model in seconds.
Why It Stands Out
- Single image input: Generate complete 3D models from just one 2D image.
- High-quality output: Produces detailed, textured 3D models with accurate geometry.
- Fast generation: Get 3D models in seconds without manual modeling.
- Versatile input: Works with photos, illustrations, product images, and artwork.
- Simple workflow: Just upload an image — no 3D expertise required.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to convert to 3D (upload or public URL). |
How to Use
- Upload your image — drag and drop a file or paste a public URL.
- Click Run and wait for the 3D model to generate.
- Preview and download the result.
Best Use Cases
- Game Development — Quickly generate 3D assets from concept art or reference images.
- E-commerce — Create 3D product models for interactive shopping experiences.
- 3D Printing — Convert 2D designs into printable 3D models.
- AR/VR Content — Generate 3D objects for augmented and virtual reality applications.
- Animation & Film — Create 3D assets from storyboards or character designs.
- Prototyping — Rapidly visualize products and designs in 3D.
Pricing
| Output | Price |
|---|---|
| Per 3D model | $0.30 |
Pro Tips for Best Quality
- Use images with clear subjects against simple or transparent backgrounds.
- Front-facing or 3/4 angle views typically produce the best results.
- Ensure the subject is well-lit and clearly visible in the image.
- Higher resolution source images generally yield more detailed 3D models.
- For characters, use images showing the full body for complete model generation.
Notes
- Ensure uploaded image URLs are publicly accessible.
- Processing time varies based on image complexity and current queue load.
- Please ensure your content complies with usage guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/tripo3d/v2.5/image-to-3d" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | URL of the image to use for model generation. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |