Trellis 2 Image To 3d API Documentation
Playground
Try it on WaveSpeedAI!TRELLIS.2 turns a single image into a textured 3D GLB with PBR materials.
Features
TRELLIS.2 turns a single image into a textured 3D GLB with PBR materials.
Upload a clear image of one object to create a 3D asset for games, visualization or further editing.
Inputs
- image: one image URL, data URI or base64 image. Text and multi-view inputs are not supported.
- resolution: 512, 1024 or 1536; defaults to 1024.
- texture_size: 1024, 2048 or 4096; defaults to 2048.
- target_face_count: approximate simplification target, 10,000–1,000,000; defaults to 200,000.
- remove_background: remove background before generation; enabled by default.
- seed: optional fixed seed; -1 uses a random seed.
Output
One downloadable GLB with embedded UVs, base-color and metallic/roughness textures. Fine lettering, faces and small parts can vary from the input. The mesh is not guaranteed to be watertight.
Pricing
Per successful generation: 512 $0.10, 1024 $0.20, 1536 $0.40. Selecting 4096-pixel textures adds $0.05. Higher resolution and complex objects take longer to generate.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "1024",
"texture_size": 2048,
"target_face_count": 200000,
"remove_background": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/trellis-2/image-to-3d" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Single input image URL, data URI or base64 image. | |
| resolution | string | No | 1024 | 512, 1024, 1536 | Geometry resolution. Higher resolution takes more time and memory. |
| texture_size | integer | No | 2048 | 1024, 2048, 4096 | PBR texture resolution in pixels. |
| target_face_count | integer | No | 200000 | 10000 ~ 1000000 | Target mesh face count after simplification. The final count is approximate. |
| remove_background | boolean | No | true | - | Remove the image background before generation. Disable to use existing image alpha. |
| seed | integer | No | - | - | Random seed. Use -1 for a random seed. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
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 | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| 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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |