tripo3d

Tripo3D AI 3D model generation. Use when generating 3D models from text prompts or images via the Tripo3D API. Supports Text-to-3D, Image-to-3D, Multiview-to-3D, model refinement, polling, and batch generation. Triggered by requests like "generate a 3D model", "text to 3D", "image to 3D", "photo to 3D", "create 3D from photo", or when the user provides a Tripo3D API token.

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Install skill "tripo3d" with this command: npx skills add richardcoder849/tripo3d

Tripo3D AI 3D Generation Skill

Overview

Tripo3D is a leading AI 3D generation platform. This skill handles:

  • Text → 3D: Natural language prompt to 3D model
  • Image → 3D: Single image to 3D model (photo to 3D)
  • Multiview → 3D: 4 images (front/left/back/right) to higher fidelity 3D
  • Refine Model: Enhance an existing draft model
  • Polling: Check generation status and retrieve results
  • Download: GLB/FBX model files + preview images

Setup

Requires TRIPO3D_API_KEY environment variable.

Get your API key at: https://platform.tripo3d.ai

Proxy Configuration (Windows + Clash Verge)

Clash Verge (verge-mihomo) proxy port: 7897 — not 7890.

Use PowerShell for all API calls:

Invoke-RestMethod -Uri '...' -Proxy 'http://127.0.0.1:7897' -ProxyUseDefaultCredentials

For file downloads, use .NET WebClient:

$wc = New-Object System.Net.WebClient
$wc.Proxy = New-Object System.Net.WebProxy("http://127.0.0.1:7897")
$wc.Proxy.Credentials = [System.Net.CredentialCache]::DefaultCredentials
$wc.DownloadFile($url, $outPath)

Python SDK (aiohttp) does NOT respect system proxy — use PowerShell instead.

Base URL

https://api.tripo3d.ai/v2/openapi

All requests require header:

Authorization: Bearer <TRIPO3D_API_KEY>
Content-Type: application/json

Core Endpoints

ActionMethodPath
Create taskPOST/task
Check statusGET/task/{task_id}
Upload image (STS)POST/upload/sts
Get balanceGET/user/balance

Task Types

All generation uses POST /task with different type field values:

TypeDescription
text_to_modelText prompt → 3D model
image_to_modelSingle image → 3D model
multiview_to_model4 images (front/left/back/right) → 3D model
refine_modelRefine an existing draft model

Workflow 1: Text to 3D

Step 1 — Create task

POST /v2/openapi/task
{
  "type": "text_to_model",
  "prompt": "a fierce tiger with orange and black stripes"
}

Step 2 — Poll status

GET /v2/openapi/task/{task_id}

Poll every 5–10 seconds. Done when status === "success".

Step 3 — Download model From response: data.output.pbr_model.url


Workflow 2: Image to 3D

Step 1 — Upload image (STS)

POST /v2/openapi/upload/sts
Content-Type: multipart/form-data

Form field: file (JPEG/PNG/WEBP, max 10MB, min 256px)

Response:

{ "code": 0, "data": { "image_token": "uuid-xxx" } }

Step 2 — Create image-to-3D task

POST /v2/openapi/task
{
  "type": "image_to_model",
  "file": {
    "type": "jpg",
    "file_token": "<image_token>"
  }
}

Or use image URL directly (no upload needed):

{
  "type": "image_to_model",
  "file": {
    "type": "jpg",
    "url": "https://example.com/photo.jpg"
  }
}

Step 3 — Poll status (same as Text-to-3D)

Step 4 — Download model


Workflow 3: Multiview to 3D

Upload 4 images (front, left, back, right), then:

POST /v2/openapi/task
{
  "type": "multiview_to_model",
  "files": [
    { "type": "jpg", "file_token": "<front_token>" },
    { "type": "jpg", "file_token": "<left_token>" },
    { "type": "jpg", "file_token": "<back_token>" },
    { "type": "jpg", "file_token": "<right_token>" }
  ]
}

Front image is required; other 3 can be empty {}.


Workflow 4: Refine Model

POST /v2/openapi/task
{
  "type": "refine_model",
  "draft_model_task_id": "<task_id_of_draft>"
}

Note: Only works with model_version < v2.0-20240919 drafts.


Common Parameters

ParameterApplies toDescription
model_versionallVersion: P1-20260311, Turbo-v1.0-20250506, v3.1-20260211, v3.0-20250812, v2.5-20250123 (default), v2.0-20240919, v1.4-20240625
textureallEnable texture, default true
pbrallEnable PBR, default true
texture_qualityall"detailed" or "standard" (default)
face_limitallLimit polygon count (1000~20000)
quadtext/imagetrue → FBX output (not GLB)
compressall"geometry" for compressed output
auto_sizeallScale to real-world meters
texture_alignmentimage/multiview"original_image" or "geometry"
model_seedallInteger, reproducible generation
texture_seedallInteger, reproducible texture
enable_image_autofiximage/multiviewAuto-enhance input image
generate_partstext/imageSegmentation mode

P1-20260311 (Low-poly optimized)

Use for game assets, stylized/low-poly models. Only supports: model_version, model_seed, face_limit (48~20000), texture, pbr, texture_seed, texture_quality, auto_size, compress, export_uv.


Polling Logic

⚠️ Generation is asynchronous. Poll every 5–10 seconds.

Status values:

  • queued → waiting in queue
  • running → actively generating
  • success → done, use output
  • failed / banned / expired / cancelled → check error

Never block with sleep. Submit job, reply with task_id, poll only when user asks.


Download

Model URLs expire after ~5 minutes. Download immediately after success.

Use .NET WebClient (PowerShell):

$wc = New-Object System.Net.WebClient
$wc.Proxy = New-Object System.Net.WebProxy("http://127.0.0.1:7897")
$wc.Proxy.Credentials = [System.Net.CredentialCache]::DefaultCredentials
$wc.DownloadFile($modelUrl, $outPath)

Output files from data.output:

  • pbr_model.url → GLB file (main model)
  • generated_image.url → AI concept preview image
  • rendered_image.url → Model rendering preview

Cost

TaskCredits
Text-to-3D~20
Image-to-3D~20
Multiview-to-3D~20
Refine Model~20

Check balance: GET /v2/openapi/user/balance


Error Handling

CodeMeaning
2010Insufficient credit
2001Task not found (wrong task_id or API key mismatch)
2002Unsupported task type
2003Empty input file
2004Unsupported file type
429 2000Rate limited — retry later

Windows PowerShell Upload Example

$headers = @{
  'Authorization' = 'Bearer <API_KEY>'
}
$filePath = "C:/path/to/image.jpg"
$response = Invoke-RestMethod -Uri 'https://api.tripo3d.ai/v2/openapi/upload/sts' `
  -Method POST `
  -Headers $headers `
  -ContentType 'multipart/form-data' `
  -Proxy 'http://127.0.0.1:7897' `
  -ProxyUseDefaultCredentials `
  -Body @{
    file = Get-Item $filePath
  }
$imageToken = $response.data.image_token

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