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PythonReactSEOPDF
OpenClaw

AI 3D Generation

Create, convert, and download AI-generated 3D models using Neural4D APIs. Optimized for commercial pipelines.

6e6e6e0 installations selon la source☆ 0 Étoiles du dépôtv1.0.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 6e6e6e/ai-3d-generation

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Setup

On first use, ensure the NEURAL4D_API_TOKEN environment variable is set. All API requests must include the header: Authorization: Bearer <YOUR_TOKEN>.

When to Use

Use this skill when generating 3D models from text prompts or images using DreamTech's Neural4D engine. This is particularly suited for creating assets where precise format conversions (like .stl, .obj, .fbx) and physical dimensions are required for manufacturing workflows.

Core Rules & Cost Guardrails

1. Point Consumption Awareness

Always track API point costs before executing bulk runs:

  • Text to 3D: 20 points per operation.
  • Image to 3D: 20 points per operation.
  • Chibi-style Generation: 30 points per operation.
  • Format Conversion: 10 points per operation.
  • You can query the remaining balance at /api/queryPointsInfo.

2. Asynchronous Polling Contract

Model generation is asynchronous. You must poll for completion:

  • Query /api/retrieveModel using the uuid.
  • Check codeStatus:
    • 0: Generation complete.
    • 1: Generating (Wait and poll again).
    • -3: Generation failed.

Workflow Pipelines

Pipeline A: Text to 3D

  1. Request: POST https://alb.neural4d.com:3000/api/generateModelWithText.
    • Payload: {"prompt": "...", "modelCount": 4, "disablePbr": 0}.
  2. Retrieve: Extract uuids from the response.
  3. Poll: Call /api/retrieveModel with the uuid until codeStatus is 0.
  4. Download: Extract modelUrl and download the .glb asset.

Pipeline B: Image to 3D (Strict 3-Step Process)

  1. Matting: Submit the image (JPG/PNG, <10MB, 256x256 to 6048x8064) via multipart/form-data to /api/mattingImage. Extract the requestId.
  2. Get Matting Result: Send the requestId to /api/getMattedResult. Extract a preferred fileKey from the response.
  3. Generate: Send the fileKey to /api/generateModelWithImage to start generation and receive uuids.
  4. Poll: Use /api/retrieveModel to poll...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/6e6e6e/ai-3d-generation
Version
1.0.0
Commit
bdc029b05079f878e0cafed11117d7feeb2255c6
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
## Setup

On first use, ensure the `NEURAL4D_API_TOKEN` environment variable is set.
All API requests must include the header: `Authorization: Bearer <YOUR_TOKEN>`.

## When to Use

Use this skill when generating 3D models from text prompts or images using DreamTech's Neural4D engine. This is particularly suited for creating assets where precise format conversions (like `.stl`, `.obj`, `.fbx`) and physical dimensions are required for manufacturing workflows.

## Core Rules & Cost Guardrails

### 1. Point Consumption Awareness
Always track API point costs before executing bulk runs:
- **Text to 3D:** 20 points per operation.
- **Image to 3D:** 20 points per operation.
- **Chibi-style Generation:** 30 points per operation.
- **Format Conversion:** 10 points per operation.
- You can query the remaining balance at `/api/queryPointsInfo`.

### 2. Asynchronous Polling Contract
Model generation is asynchronous. You must poll for completion:
- Query `/api/retrieveModel` using the `uuid`.
- Check `codeStatus`:
  - `0`: Generation complete.
  - `1`: Generating (Wait and poll again).
  - `-3`: Generation failed.

## Workflow Pipelines

### Pipeline A: Text to 3D
1. **Request:** `POST https://alb.neural4d.com:3000/api/generateModelWithText`.
   - Payload: `{"prompt": "...", "modelCount": 4, "disablePbr": 0}`.
2. **Retrieve:** Extract `uuids` from the response.
3. **Poll:** Call `/api/retrieveModel` with the `uuid` until `codeStatus` is `0`.
4. **Download:** Extract `modelUrl` and download the `.glb` asset.

### Pipeline B: Image to 3D (Strict 3-Step Process)
1. **Matting:** Submit the image (JPG/PNG, <10MB, 256x256 to 6048x8064) via `multipart/form-data` to `/api/mattingImage`. Extract the `requestId`.
2. **Get Matting Result:** Send the `requestId` to `/api/getMattedResult`. Extract a preferred `fileKey` from the response.
3. **Generate:** Send the `fileKey` to `/api/generateModelWithImage` to start generation and receive `uuids`.
4. **Poll:** Use `/api/retrieveModel` to poll...

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