ᡤᡝᠯᡳ ᡩᡝ ᠵᡠᠸᡝᠨ

Triposplat

ᠵᡠᠸᡝᠪᡠᠮᠪᡳ

ᠮᠣᡩᡝᠯ id tripo3d/triposplat
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/tripo3d/triposplat?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

ᡝᠨᡳ ᠵᠠᠯᡳᠨ: $0.05 50 API ᠺᠷᡝᡩᡳᠲ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ

API ᡩᠠᠮᡠᠨ ᡤᠠᠯᠠ
Tripo ᡤᠠᠳᠠᠨ ᡩᡝ 3D #3d#gaussian-splat

ᡝᠮᡠ ᠮᡠᠰᡝ ᠪᡝ 3D Gaussian splat ᡳ ᠪᡳᠰᡳᠨ ᡩᠠᠮᠪᠠᠨ ᡩᡝ ᠠᠮᠪᠠᠨᠠᠮᠪᡳ᠂ .ply ᠵᡝᠨᡝ .splat ᡩᡝ ᠵᠠᠯᠠᠨᠠᠮᠪᡳ

Tripo · 3D

ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ

ᡝᡵᡝ ᠵᡠᠯᡝᠨ ᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᠠᠶᠠᠨᠠᠮᡝ ᠠᠮᡪᠠᠯᠠ ᡶᡳᠯᡝᠮᡝ ᠪᡝᠶᡝᠮᡝ᠃ API ᠵᡳᡵᡤᠠᡳ ᡤᠠᡳᡥᠠᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠮᡠᠰᡝᡳ ᠰᡠᠯᡠᠨᡩᡝ ᠪᠠᠶᠠᠨᠠᠮᡝ᠂ ᠝ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠶᠠᠨ 7 ᡥᠠᠨ ᠰᠠᡳᠨᠠᠮᡝ᠃

ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ

ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ

•ᡴᠠᠷᠠᡴᡡ image_url
ᠪᡠᠮᠪᡳ ᡝᠮᡠ ᡩᠠᡵᠠᠮᡝ

ᡝᠨᡩᡝᠨ ᡤᠠᠳᠠᠨ ᡳ URL, 3D Gaussian splat ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡤᠠᠯᠠᠨᠠᠮᡝ

ᠵᡠᠯᡤᡝ ᠵᡝᡵᡤᡳ output_format · num_gaussians · num_inference_steps · guidance_scale · seed · enable_safety_checker
output_format ᠵᡠᠯᡝ ply

Gaussian splat ᡳ ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᡶᠣᠷᠮᠠᠲ

ᠵᡠᠯᡝ 262144

ᠪᡠᠶᡝᠮᡝᠨ ᡳ Gaussian ᡩᠠᠯᡳᠨ; 32 ᡳ ᡝᠮᡴᡝ ᠵᠠᠯᠠᠨ ᠠᠮᠠᠯᠠᠮᡝ. ᡝᠮᡤᡝᠯᡝᠮᡝ ᡩᠠᠯᡳᠨ ᡝᠮᡤᡝᠯᡝᠮᡝ ᡶᡳᠯᡝ ᡩᠠᠯᡳᠨ, ᠮᡝᠨᡝᠮᡝ ᡶᡳᠯᡝ ᡝᠮᡤᡝᠯᡝᠮᡝ

ᠵᡠᠯᡝ 20

flow-matching sampler ᡳ ᠵᠠᠯᠠᠨ ᡩᠠᠯᡳᠨ

ᠵᡠᠯᡝ 3

Classifier-free guidance ᡳ ᠵᠠᠯᠠᠨ; ᡝᠮᡤᡝᠯᡝᠮᡝ ᡩᠠᠯᡳᠨ ᡝᠮᡤᡝᠯᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠪᠠᡳᠯᠠᠨ ᡩᡝ ᡳᠯᡝᡵᡝ ᡩᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ; 1.0 ᠠᡳ ᡩᡝᠯᡳ ᠠᠯᠢᠨ ᡩᠠᠰᠠᠨᠠᠮᡝ

ᠪᡠᠶᡝᠮᡝᠨ ᡩᠠᠯᡳᠨ ᡩᠠᠯᡳᠨ ᡳ ᡩᠠᠯᡳᠨ; None ᠵᠠᠯᠠᠨ ᡠᠯᡥᡳᠨᠠᠮᡝ ᡥᡝᠯᡳ ᡩᠠᠯᡳᠨ

POST /run/tripo3d/triposplat?wait=20 ᠵᠠᠯᡳᠨ → $0.05
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/tripo3d/triposplat?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ

ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ

Triposplat ᡠᡵᡝᠮᡝ

ᡝᠮᡠ ᠮᡠᠰᡝ (`image_url`) ᡩᡝᠴᡳ 3D Gaussian splat ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠮᡝᠰᡳ ᠣᠮᠪᡳ᠃ `num_gaussians` 32,768 ᡩᡝ 262,144 ᡩᡝ ᠪᡳᠮᠪᡳ᠂ `output_format` ᠵᡝᠨᡝ ply ᠵᡝᠨᡝ splat ᠪᡳᠮᠪᡳ᠃ `num_inference_steps` (1-50)᠂ `guidance_scale` ᠵᡝᠨᡝ `seed` ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᠪᡳ᠃ ᠵᡝᠪᡝᠨ ᡩᡝ ᠵᡝᠯᡤᡳᠨ ᡳ Gaussian ᡳ ᠵᡠᠩᡤᠠᠨ ᠵᡝᠨᡝ ᠮᡠᠰᡝ ᡳ ᡝᠮᡤᡳ ᠠᠪᡠᠯᠠᠮᡝ ᠮᡠᠰᡝ ᠪᡝ ᠮᡣᡝᠨᡝᠮᡝ ᠠᠰᡠᠪᡠᠮᡝ ᠪᡳᠮᠪᡳ᠃

ᠵᠠᡴᡠᠨ

ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ ᠵᡝᠯᡤᡳ ᠠᠪᠠᠮᠪᡳ᠈ ᠨᡝᠮᡝ ᠮᡠᠰᡝ ᡠᠯᠠᠮᠪᡳ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ

ᠵᡝᡵᡤᡳᡠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝᠠᠪᠠᠮᡝ ᠵᠠᠪᡠᠨ ᠵᠠᠯᠠᠨᡳ ᡤᡳᠰᡠᠨ
image_urlᡴᠠᠷᠠᡴᡡ image
ᡠᠯᠠᠮᡝurl · image
ᡝᠨᡩᡝᠨ ᡤᠠᠳᠠᠨ ᡳ URL, 3D Gaussian splat ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡤᠠᠯᠠᠨᠠᠮᡝ
num_gaussiansᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝinteger
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ262144
32,768 – 262,144
ᠪᡠᠶᡝᠮᡝᠨ ᡳ Gaussian ᡩᠠᠯᡳᠨ; 32 ᡳ ᡝᠮᡴᡝ ᠵᠠᠯᠠᠨ ᠠᠮᠠᠯᠠᠮᡝ. ᡝᠮᡤᡝᠯᡝᠮᡝ ᡩᠠᠯᡳᠨ ᡝᠮᡤᡝᠯᡝᠮᡝ ᡶᡳᠯᡝ ᡩᠠᠯᡳᠨ, ᠮᡝᠨᡝᠮᡝ ᡶᡳᠯᡝ ᡝᠮᡤᡝᠯᡝᠮᡝ
num_inference_stepsᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝinteger
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ20
1 – 50
flow-matching sampler ᡳ ᠵᠠᠯᠠᠨ ᡩᠠᠯᡳᠨ
guidance_scaleᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝnumber
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝ3
0 – 10
Classifier-free guidance ᡳ ᠵᠠᠯᠠᠨ; ᡝᠮᡤᡝᠯᡝᠮᡝ ᡩᠠᠯᡳᠨ ᡝᠮᡤᡝᠯᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠪᠠᡳᠯᠠᠨ ᡩᡝ ᡳᠯᡝᡵᡝ ᡩᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ; 1.0 ᠠᡳ ᡩᡝᠯᡳ ᠠᠯᠢᠨ ᡩᠠᠰᠠᠨᠠᠮᡝ
output_formatᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝenum
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝply
plysplat
Gaussian splat ᡳ ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᡶᠣᠷᠮᠠᠲ
seedᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝinteger | null
ᠪᡠᠶᡝᠮᡝᠨ ᡩᠠᠯᡳᠨ ᡩᠠᠯᡳᠨ ᡳ ᡩᠠᠯᡳᠨ; None ᠵᠠᠯᠠᠨ ᡠᠯᡥᡳᠨᠠᠮᡝ ᡥᡝᠯᡳ ᡩᠠᠯᡳᠨ
enable_safety_checkerᠵᡠᠯᡝ
ᡠᠯᠠᠮᡝboolean
ᠵᠠᠯᠠᠨᡳ ᠵᡠᠯᡝtrue
ᡝᠨᡩᡝᠨ ᡤᠠᠳᠠᠨ ᡳ ᠠᠮᠠᠯᠠᠨ ᡳ ᡩᠠᠯᡳᠨ
ᡴᠠᠷᠠᡴᡡ ᠵᠠᡴᡠᠨᡳ ᡤᡳᠰᡠᠨ᠈ ᠮᡠᠰᡝ ᡝᠮᡠ ᠠᠪᠠᠮᠪᡳ

ᠪᡠᠮᠪᡳᠯᡝᠰᡝ ᡝᠮᡠ ᡤᡝᠮᡠᠨᡳ https:// URL᠈ 10 MB ᡩᡝ ᡩᡝᠷᡤᡳ data: URI ᠵᡝᡵᡤᡳ ᡝᠮᡝ᠈ ᡳᠨᡝ ᠪᡠᠮᠪᡳᠯᡝᠰᡝᠨᡳ file_url ᠠᠪᠠᠮᠪᡳ ᠪᡠᠮᠪᡳ

ᠪᡠᠶᡝᠮᡝ

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "tripo3d/triposplat",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 50,
    "usd": "0.05",
    "charged": 50,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "model_mesh": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "preprocessed_image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768
    },
    "num_gaussians": 1,
    "seed": 42,
    "timings": {}
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
ᡤᡝᠯᡝᠮᡝ ᡥᡡᠯᡤᡠᠨᡳ ᡳᠨᡠᡝᠯᡝᡥᡝ outputs[].url ᠰᡠᠯᡠᠨ ᡩᡝ ᠰᡳᡵᡝ ᡶᡳᠯᡝ᠈ ᠝ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠪᠠᠯᡳ ᠵᡝᠮᡤᡳᠨ GB-ᠪᡳᠶᠠ ᠵᡝᠮᡤᡳᠨ ᠪᡝ ᡝᠮᡠᠯᡝᠮᡝ ᠠᠪᠠᠯᡳ 7 ᡥᠠᠨ ᠰᡳᠯᡤᠠᠨ ᡩᡝ᠈ ᠰᡳᠨᡳ ᠪᠠᠯᠠᠨᠰᡳ ᠵᡠᠶᡝᡵᡝᠨ ᠠᠪᠠᠯᡳ ?storage= ᡩᡝ ᡝᠵᡝᠨ ᡥᠠᠯᠠᠮᡝ᠉
ᡝᠮᡠ ᡤᡳᠰᡠᠨ ᡝᠮᡠ ᠮᠣᡩᡝᠯ ᡩᡝtype, url, content_type, width, height ᠮᠠᠩᡤᡳ duration᠈ ᠵᠠᠯᠠᠨ᠈ ᠪᡠᠵᡠᠮᠪᡳ ᠮᠠᠩᡤᡳ ᠵᡝᡵᡤᡳ ᡩᡝᠨᡳ᠈ output ᠮᠣᡩᡝᠯᡳᠨᡳ ᡝᠮᡠ ᠵᠠᠯᠠᠨ
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
model_mesh
object {url, content_type, file_name, file_size}3D Gaussian splat ᡳ ᠪᡠᠶᡝᠮᡝᠨ ᡩᡝ ᠪᡳᠰᡳᡵᡝ ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡶᡳᠯᡝ, .ply ᠠᠮᡳ .splat ᡶᠣᠷᠮᠠᠲ
preprocessed_image
object {url, content_type, file_name, file_size, width, height}ᠮᠣᠳᡝᠯ ᡳ ᠠᠰᡥᠠᠨ ᡩᠠᠯᡳᠨ ᠪᠠᡳᠯᠠᠨ: ᠪᠠᡤᡳ ᡩᠠᠯᡳᠨ ᡳ ᠠᠮᠠᠯᠠᠮᡝ ᡩᡝᠯᡝ ᡝᠮᡤᡝᠯᡝᠮᡝ RGB ᡤᠠᠳᠠᠨ
num_gaussians
integerᠪᡠᠶᡝᠮᡝᠨ ᡳ Gaussian ᡳ ᠠᠰᡥᠠᠨ ᡩᠠᠯᡳᠨ
seed
integerᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠶᠠᠪᡠᡥᠠᠨ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉
timings
objectᠵᡠᠰᡝ ᡳ ᡩᠠᠮᡠᠯᠠᠨ ᠰᡝᡴᡠᠨ ᡳ ᡝᠮᡤᡳ ᠪᠠᠨᠵᡳᠨ᠃

ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡤᠠᠳᠠᠨ ᡩᡝ 3D

AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/tripo3d/triposplat.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt