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hy-3d-gen

输入文字或图片,通过腾讯混元生3D TokenHub/OpenAI 兼容接口或腾讯云 SDK 生成3D模型。支持文生3D、图生3D、多视图生3D、PBR、白模、草图生3D、智能拓扑生3D;当用户要求生成或查询混元3D模型时使用。

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Precio sin confirmar★ 568 Estrellas de GitHubRegistro actualizado · 19 sept 2026agent-skill

Resumen

输入文字或图片,通过腾讯混元生3D TokenHub/OpenAI 兼容接口或腾讯云 SDK 生成3D模型。支持文生3D、图生3D、多视图生3D、PBR、白模、草图生3D、智能拓扑生3D;当用户要求生成或查询混元3D模型时使用。

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

腾讯混元生3D Skill

本版本基于 ClawHub @neck-cn/hy-3d-generation 的本地安装副本改造,发布名为 hy-3d-gen。主要改造点是默认走 TokenHub/OpenAI 兼容 HTTP 接口,并保留腾讯云 SDK 作为显式回退后端。

本地 Codex 安全说明

此安装副本已做安全化处理:脚本不会自动执行 pip install。默认优先使用 TokenHub 的 OpenAI 兼容 HTTP 接口,使用 Python 标准库发起请求,不需要额外依赖;如显式使用 --provider tencent,缺少 tencentcloud-sdk-python 时脚本会退出并提示用户先在明确选择的 Python 环境中手动安装。生成任务会把 prompt、图片 URL 或 Base64 图片数据发送到腾讯混元生3D接口。

本地测试凭证可放在 skill 根目录的 .env 文件中,权限应为 600。脚本只会读取 HY3D_OPENAI_API_KEY、TENCENT_MAAS_API_KEY、TOKENHUB_API_KEY、TENCENTCLOUD_SECRET_ID、TENCENTCLOUD_SECRET_KEY、TENCENTCLOUD_TOKEN,并且不会覆盖进程中已经存在的同名环境变量。

功能描述

本 Skill 提供混元生3D能力,基于腾讯混元大模型,将文本描述或图片智能生成 3D 模型。默认使用 TokenHub OpenAI 兼容协议,可手动回退腾讯云 SDK。支持多视角图片输入、PBR 材质、自定义面数、多种输出格式。

场景脚本说明
一站式生成main.py提交任务 + 自动轮询,推荐使用
仅提交任务submit_job.py仅提交,返回 JobId
仅查询任务query_job.py根据 JobId 查询/轮询结果
共享客户端hy3d_api.pyTokenHub + 腾讯云 SDK 双后端封装,不直接手动运行
🎯 选择规则
用户要求生成3D模型  →  main.py(一站式,最简单推荐)
用户要求提交后自行查询  →  submit_job.py + query_job.py(分步操作)
用户已有 JobId 要查结果  →  query_job.py(单独查询)

如果用户未指定使用哪种模式,Agent 应默认使用 main.py 一站式脚本。

支持特性
  • 文生3D:支持文本描述生成 3D 模型(最多 1024 字符)
  • 图生3D:支持输入图片 URL 或 Base64 生成 3D 模型
  • 多视角图片:支持 left/right/back/top/bottom/left_front/right_front 多视角输入
  • PBR 材质:支持开启 PBR 材质生成
  • 自定义面数:支持 10000-1500000 面数范围
  • 多种生成类型:Normal(带纹理)、LowPoly(智能拓扑)、Geometry(白模)、Sketch(草图生成)
  • 多种输出格式:默认 obj+glb,可选 STL、USDZ、FBX
  • 模型版本选择:支持 3.0 和 3.1 版本
  • OpenAI 兼容接口:优先使用 TokenHub https://tokenhub.tencentmaas.com/v1/api/3d/submit 与 /query
  • 双后端选择:--provider auto 默认优先 TokenHub;--provider tokenhub 强制 TokenHub;--provider tencent 强制腾讯云 SDK
  • 显式安装依赖:TokenHub 后端无需额外依赖;腾讯云 SDK 后端需要用户在明确选择的 Python 环境中安装所需 SDK
  • 智能凭证检测:优先从环境变量获取密钥,未配置时提示用户开通

环境配置指引

密钥配置

本 Skill 默认需要 TokenHub OpenAI 兼容 API key;腾讯云 SDK 后端需要腾讯云 API 密钥。

TokenHub / OpenAI 兼容接口(默认)
export HY3D_OPENAI_API_KEY="你的 TokenHub API key"

也可使用 TENCENT_MAAS_API_KEY 或 TOKENHUB_API_KEY。不要把 key 写进脚本源码。

腾讯云 SDK 后端(可选回退)

Step 1: 开通混元3D服务

🔗 腾讯云3D视觉创作控制台

Step 2: 获取 API 密钥

🔗 腾讯云 API 密钥管理

Step 3: 设置环境变量

Linux / macOS:

export TENCENTCLOUD_SECRET_ID="你的SecretId"
export TENCENTCLOUD_SECRET_KEY="你的SecretKey"

如需持久化:

echo 'export TENCENTCLOUD_SECRET_ID="你的SecretId"' >> ~/.zshrc
echo 'export TENCENTCLOUD_SECRET_KEY="你的SecretKey"' >> ~/.zshrc
source ~/.zshrc

Windows (PowerShell):

$env:TENCENTCLOUD_SECRET_ID = "你的SecretId"
$env:TENCENTCLOUD_SECRET_KEY = "你的SecretKey"

⚠️ 安全提示:切勿将密钥硬编码在代码中。

Agent 执行指令(必读)

本节是 Agent(AI 模型)的核心执行规范。当用户请求生成 3D 模型时,Agent 必须严格按照以下步骤执行。依赖安装、持久化环境变量、上传敏感图片或扩大本机环境改动前,需要用户明确确认。

🔑 通用执行规则
  1. 触发条件:用户提供了文本描述或图片,且意图为生成 3D 模型。
  2. 受控执行原则:依赖与凭证已经配置、且用户明确要生成 3D 模型时,Agent 可直接执行脚本;不得自动安装依赖或改写 shell 配置。
  3. 自动选择脚本:默认使用 main.py(一站式),除非用户明确要求分步操作。默认 --provider auto,如果存在 TokenHub key 会优先走 OpenAI 兼容接口。
  4. ⛔ 禁止使用大模型自身能力替代 3D 生成(最高优先级规则):
    • Agent 严禁自行编造 3D 文件 URL 或描述生成结果。
    • 如果调用失败,Agent 必须向用户返回清晰的错误说明。

📌 脚本一:一站式生成 main.py(推荐)

适用场景:用户请求生成 3D 模型,自动提交并等待结果

# 文生3D
python3 <SKILL_DIR>/scripts/main.py --prompt "文本描述"

# 图生3D
python3 <SKILL_DIR>/scripts/main.py --image-url "https://example.com/image.jpg"

# 强制使用 TokenHub OpenAI 兼容接口
python3 <SKILL_DIR>/scripts/main.py --provider tokenhub --model hy-3d-3.0 --prompt "一只小狗"

# 强制使用腾讯云 SDK 回退
python3 <SKILL_DIR>/scripts/main.py --provider tencent --model 3.0 --prompt "一只小狗"

可选参数:

  • --prompt <TEXT>:文本描述,中文推荐,最多 1024 字符(与 image-url/image-base64 二选一)
  • --image-url <URL>:输入图片 URL(与 prompt 二选一)
  • --image-base64 <BASE64>:输入图片 Base64 数据(与 prompt 二选一)
  • --multi-view <JSON>:多视角图片 JSON,如 '[{"ViewType":"back","ViewImageUrl":"https://..."}]'
  • --model <VERSION>:模型版本,默认 hy-3d-3.0,可选 3.0 / 3.1 / hy-3d-3.0 / hy-3d-3.1
  • --enable-pbr:开启 PBR 材质生成
  • --face-count <N>:面数,默认 500000,范围 10000-1500000
  • --generate-type <TYPE>:生成类型:Normal / LowPoly / Geometry / Sketch
  • --polygon-type <TYPE>:多边形类型(仅 LowPoly):triangle / quadrilateral
  • --result-format <FMT>:输出格式:STL / USDZ / FBX(默认 obj+glb)
  • --provider <auto|tokenhub|tencent>:后端选择,默认 auto
  • --no-poll:仅提交任务不等待结果(返回 JobId)

输出示例:

{
  "job_id": "job-xxxxxxxxxxxx",
  "status": "success",
  "result_files": [
    {
      "type": "glb",
      "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb",
      "preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png"
    },
    {
      "type": "obj",
      "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.obj"
    }
  ]
}

注意:生成的文件 URL 有效期为 24 小时,请及时保存。3D 生成通常需要 1~5 分钟。


📌 脚本二:仅提交任务 submit_job.py

适用场景:仅需提交任务获取 JobId,后续手动查询

python3 <SKILL_DIR>/scripts/submit_job.py --prompt "文本描述"

可选参数:与 main.py 相同(除 --poll-interval、--max-poll-time、--no-poll 外)

输出示例:

{
  "job_id": "job-xxxxxxxxxxxx",
  "request_id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "message": "Task submitted successfully. Use query_job.py to poll for results."
}

📌 脚本三:查询任务 query_job.py

适用场景:根据 JobId 查询任务状态和结果

python3 <SKILL_DIR>/scripts/query_job.py "job-xxxxxxxxxxxx" --model hy-3d-3.0

可选参数:

  • --poll-interval <N>:轮询间隔秒数,默认 10
  • --max-poll-time <N>:最大轮询时间秒数,默认 600(10min)
  • --no-poll:仅查询一次,不轮询
  • --provider <auto|tokenhub|tencent>:后端选择,默认 auto
  • --model <VERSION>:TokenHub 查询需要与提交时一致的模型,默认 hy-3d-3.0

输出示例:

{
  "job_id": "job-xxxxxxxxxxxx",
  "status": "success",
  "result_files": [
    {
      "type": "glb",
      "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb",
      "preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png"
    }
  ]
}

📋 完整调用示例
# 文生3D(基础)
python3 /path/to/scripts/main.py --prompt "一只可爱的卡通猫咪"

# 图生3D
python3 /path/to/scripts/main.py --image-url "https://example.com/cat.jpg"

# 使用 3.1 版本 + PBR 材质
python3 /path/to/scripts/main.py --prompt "一个精致的茶壶" --model 3.1 --enable-pbr

# 自定义面数
python3 /path/to/scripts/main.py --prompt "一辆跑车" --face-count 300000

# LowPoly 模式
python3 /path/to/scripts/main.py --prompt "一棵树" --generate-type LowPoly --polygon-type quadrilateral

# 白模(Geometry)
python3 /path/to/scripts/main.py --prompt "一个机器人" --generate-type Geometry

# 草图生成
python3 /path/to/scripts/main.py --image-url "https://example.com/sketch.png" --generate-type Sketch --prompt "一把椅子"

# 指定输出格式为 FBX
python3 /path/to/scripts/main.py --prompt "一只恐龙" --result-format FBX

# 多视角输入
python3 /path/to/scripts/main.py --image-url "https://example.com/front.jpg" --multi-view '[{"ViewType":"back","ViewImageUrl":"https://example.com/back.jpg"},{"ViewType":"left","ViewImageUrl":"https://example.com/left.jpg"}]'

# 仅提交任务
python3 /path/to/scripts/main.py --prompt "一座城堡" --no-poll

# 查询已有任务
python3 /path/to/scripts/query_job.py "job-xxxxxxxxxxxx"

# 通过 stdin 传入 JSON 参数
echo '{"prompt":"一只猫"}' | python3 /path/to/scripts/main.py --stdin
📐 SubmitHunyuanTo3DProJob 参数说明
参数类型必选说明
ModelString否模型版本,默认 3.0,可选 3.0/3.1。3.1 版本不支持 LowPoly
PromptString三选一文生3D描述,中文推荐,最多 1024 字符
ImageUrlString三选一输入图 URL,分辨率 128~5000,大小 ≤ 8MB
ImageBase64String三选一输入图 Base64,分辨率 128~5000,大小 ≤ 6MB
MultiViewImagesArray否多视角图片,视角:left/right/back/top/bottom/left_front/right_front
EnablePBRBoolean否开启 PBR 材质,默认 false
FaceCountInteger否面数,默认 500000,范围 10000~1500000
GenerateTypeString否Normal/LowPoly/Geometry/Sketch,默认 Normal
PolygonTypeString否仅 LowPoly:triangle/quadrilateral,默认 triangle
ResultFormatString否STL/USDZ/FBX,默认返回 obj+glb
📐 QueryHunyuanTo3DProJob 响应说明
字段类型说明
StatusStringWAIT:等待中,RUN:执行中,FAIL:失败,DONE:成功
ErrorCodeString错误码
ErrorMessageString错误信息
ResultFile3DsArray of File3D生成的 3D 文件数组

File3D 结构:

字段类型说明
TypeString文件格式(如 glb、obj)
UrlString文件 URL,有效期 24 小时
PreviewImageUrlString预览图 URL
❌ Agent 须避免的行为
  • 只打印脚本路径而不执行
  • 向用户询问"是否要执行 3D 生成"——应直接执行
  • 自动安装依赖或改写全局环境——如需腾讯云 SDK 后端,必须由用户明确选择安装环境
  • 忘记读取输出结果中的 result_files URL 并返回给用户
  • 3D 生成失败时,自行编造文件 URL
  • 忘记提醒用户文件 URL 有效期为 24 小时

API 参考

  • TokenHub submit endpoint:https://tokenhub.tencentmaas.com/v1/api/3d/submit
  • TokenHub query endpoint:https://tokenhub.tencentmaas.com/v1/api/3d/query
  • TokenHub 鉴权:Authorization: Bearer <HY3D_OPENAI_API_KEY>
  • TokenHub 模型名:hy-3d-3.0 / hy-3d-3.1
  • 腾讯云 SDK 模块:tencentcloud.ai3d.v20250513
  • 腾讯云 SDK 提交任务:SubmitHunyuanTo3DProJob
  • 腾讯云 SDK 查询任务:QueryHunyuanTo3DProJob
  • 腾讯云 SDK endpoint:ai3d.tencentcloudapi.com

核心脚本

  • scripts/main.py — 一站式生成,提交任务 + 自动轮询等待结果
  • scripts/submit_job.py — 仅提交任务,返回 JobId
  • scripts/query_job.py — 根据 JobId 查询/轮询任务状态和结果

依赖

  • Python 3.7+
  • TokenHub 后端无需第三方 Python 依赖
  • tencentcloud-sdk-python(仅 --provider tencent 需要,需包含 ai3d 模块)

安装腾讯云 SDK 依赖(可选):

pip install tencentcloud-sdk-python
Metadatos del archivo
name: hy-3d-gen
description: >
  输入文字或图片,通过腾讯混元生3D TokenHub/OpenAI 兼容接口或腾讯云 SDK 生成3D模型。支持文生3D、图生3D、多视图生3D、PBR、白模、草图生3D、智能拓扑生3D;当用户要求生成或查询混元3D模型时使用。
Ver texto original
---
name: hy-3d-gen
description: >
  输入文字或图片,通过腾讯混元生3D TokenHub/OpenAI 兼容接口或腾讯云 SDK 生成3D模型。支持文生3D、图生3D、多视图生3D、PBR、白模、草图生3D、智能拓扑生3D;当用户要求生成或查询混元3D模型时使用。
---

# 腾讯混元生3D Skill

本版本基于 ClawHub `@neck-cn/hy-3d-generation` 的本地安装副本改造,发布名为 `hy-3d-gen`。主要改造点是默认走 TokenHub/OpenAI 兼容 HTTP 接口,并保留腾讯云 SDK 作为显式回退后端。

## 本地 Codex 安全说明

此安装副本已做安全化处理:脚本不会自动执行 `pip install`。默认优先使用 TokenHub 的 OpenAI 兼容 HTTP 接口,使用 Python 标准库发起请求,不需要额外依赖;如显式使用 `--provider tencent`,缺少 `tencentcloud-sdk-python` 时脚本会退出并提示用户先在明确选择的 Python 环境中手动安装。生成任务会把 prompt、图片 URL 或 Base64 图片数据发送到腾讯混元生3D接口。

本地测试凭证可放在 skill 根目录的 `.env` 文件中,权限应为 `600`。脚本只会读取 `HY3D_OPENAI_API_KEY`、`TENCENT_MAAS_API_KEY`、`TOKENHUB_API_KEY`、`TENCENTCLOUD_SECRET_ID`、`TENCENTCLOUD_SECRET_KEY`、`TENCENTCLOUD_TOKEN`,并且不会覆盖进程中已经存在的同名环境变量。

## 功能描述

本 Skill 提供**混元生3D**能力,基于腾讯混元大模型,将文本描述或图片智能生成 3D 模型。默认使用 TokenHub OpenAI 兼容协议,可手动回退腾讯云 SDK。支持多视角图片输入、PBR 材质、自定义面数、多种输出格式。

| 场景 | 脚本 | 说明 |
|------|------|------|
| 一站式生成 | `main.py` | 提交任务 + 自动轮询,推荐使用 |
| 仅提交任务 | `submit_job.py` | 仅提交,返回 JobId |
| 仅查询任务 | `query_job.py` | 根据 JobId 查询/轮询结果 |
| 共享客户端 | `hy3d_api.py` | TokenHub + 腾讯云 SDK 双后端封装,不直接手动运行 |

### 🎯 选择规则

```
用户要求生成3D模型  →  main.py(一站式,最简单推荐)
用户要求提交后自行查询  →  submit_job.py + query_job.py(分步操作)
用户已有 JobId 要查结果  →  query_job.py(单独查询)
```

> 如果用户未指定使用哪种模式,Agent 应默认使用 `main.py` 一站式脚本。

### 支持特性

- **文生3D**:支持文本描述生成 3D 模型(最多 1024 字符)
- **图生3D**:支持输入图片 URL 或 Base64 生成 3D 模型
- **多视角图片**:支持 left/right/back/top/bottom/left_front/right_front 多视角输入
- **PBR 材质**:支持开启 PBR 材质生成
- **自定义面数**:支持 10000-1500000 面数范围
- **多种生成类型**:Normal(带纹理)、LowPoly(智能拓扑)、Geometry(白模)、Sketch(草图生成)
- **多种输出格式**:默认 obj+glb,可选 STL、USDZ、FBX
- **模型版本选择**:支持 3.0 和 3.1 版本
- **OpenAI 兼容接口**:优先使用 TokenHub `https://tokenhub.tencentmaas.com/v1/api/3d/submit` 与 `/query`
- **双后端选择**:`--provider auto` 默认优先 TokenHub;`--provider tokenhub` 强制 TokenHub;`--provider tencent` 强制腾讯云 SDK
- **显式安装依赖**:TokenHub 后端无需额外依赖;腾讯云 SDK 后端需要用户在明确选择的 Python 环境中安装所需 SDK
- **智能凭证检测**:优先从环境变量获取密钥,未配置时提示用户开通

## 环境配置指引

### 密钥配置

本 Skill 默认需要 TokenHub OpenAI 兼容 API key;腾讯云 SDK 后端需要腾讯云 API 密钥。

#### TokenHub / OpenAI 兼容接口(默认)

```bash
export HY3D_OPENAI_API_KEY="你的 TokenHub API key"
```

也可使用 `TENCENT_MAAS_API_KEY` 或 `TOKENHUB_API_KEY`。不要把 key 写进脚本源码。

#### 腾讯云 SDK 后端(可选回退)

Step 1: 开通混元3D服务

🔗 **[腾讯云3D视觉创作控制台](https://console.cloud.tencent.com/ai3d)**

Step 2: 获取 API 密钥

🔗 **[腾讯云 API 密钥管理](https://console.cloud.tencent.com/cam/capi)**

Step 3: 设置环境变量

**Linux / macOS:**
```bash
export TENCENTCLOUD_SECRET_ID="你的SecretId"
export TENCENTCLOUD_SECRET_KEY="你的SecretKey"
```

如需持久化:
```bash
echo 'export TENCENTCLOUD_SECRET_ID="你的SecretId"' >> ~/.zshrc
echo 'export TENCENTCLOUD_SECRET_KEY="你的SecretKey"' >> ~/.zshrc
source ~/.zshrc
```

**Windows (PowerShell):**
```powershell
$env:TENCENTCLOUD_SECRET_ID = "你的SecretId"
$env:TENCENTCLOUD_SECRET_KEY = "你的SecretKey"
```

> ⚠️ **安全提示**:切勿将密钥硬编码在代码中。

## Agent 执行指令(必读)

> **本节是 Agent(AI 模型)的核心执行规范。当用户请求生成 3D 模型时,Agent 必须严格按照以下步骤执行。依赖安装、持久化环境变量、上传敏感图片或扩大本机环境改动前,需要用户明确确认。**

### 🔑 通用执行规则

1. **触发条件**:用户提供了文本描述或图片,且意图为生成 3D 模型。
2. **受控执行原则**:依赖与凭证已经配置、且用户明确要生成 3D 模型时,Agent 可直接执行脚本;不得自动安装依赖或改写 shell 配置。
3. **自动选择脚本**:默认使用 `main.py`(一站式),除非用户明确要求分步操作。默认 `--provider auto`,如果存在 TokenHub key 会优先走 OpenAI 兼容接口。
4. **⛔ 禁止使用大模型自身能力替代 3D 生成(最高优先级规则)**:
   - Agent 严禁自行编造 3D 文件 URL 或描述生成结果。
   - 如果调用失败,Agent **必须**向用户返回清晰的错误说明。

---

### 📌 脚本一:一站式生成 `main.py`(推荐)

**适用场景**:用户请求生成 3D 模型,自动提交并等待结果

```bash
# 文生3D
python3 <SKILL_DIR>/scripts/main.py --prompt "文本描述"

# 图生3D
python3 <SKILL_DIR>/scripts/main.py --image-url "https://example.com/image.jpg"

# 强制使用 TokenHub OpenAI 兼容接口
python3 <SKILL_DIR>/scripts/main.py --provider tokenhub --model hy-3d-3.0 --prompt "一只小狗"

# 强制使用腾讯云 SDK 回退
python3 <SKILL_DIR>/scripts/main.py --provider tencent --model 3.0 --prompt "一只小狗"
```

**可选参数**:
- `--prompt <TEXT>`:文本描述,中文推荐,最多 1024 字符(与 image-url/image-base64 二选一)
- `--image-url <URL>`:输入图片 URL(与 prompt 二选一)
- `--image-base64 <BASE64>`:输入图片 Base64 数据(与 prompt 二选一)
- `--multi-view <JSON>`:多视角图片 JSON,如 `'[{"ViewType":"back","ViewImageUrl":"https://..."}]'`
- `--model <VERSION>`:模型版本,默认 `hy-3d-3.0`,可选 `3.0` / `3.1` / `hy-3d-3.0` / `hy-3d-3.1`
- `--enable-pbr`:开启 PBR 材质生成
- `--face-count <N>`:面数,默认 500000,范围 10000-1500000
- `--generate-type <TYPE>`:生成类型:Normal / LowPoly / Geometry / Sketch
- `--polygon-type <TYPE>`:多边形类型(仅 LowPoly):triangle / quadrilateral
- `--result-format <FMT>`:输出格式:STL / USDZ / FBX(默认 obj+glb)
- `--provider <auto|tokenhub|tencent>`:后端选择,默认 auto
- `--no-poll`:仅提交任务不等待结果(返回 JobId)

**输出示例**:
```json
{
  "job_id": "job-xxxxxxxxxxxx",
  "status": "success",
  "result_files": [
    {
      "type": "glb",
      "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb",
      "preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png"
    },
    {
      "type": "obj",
      "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.obj"
    }
  ]
}
```

> **注意**:生成的文件 URL 有效期为 **24 小时**,请及时保存。3D 生成通常需要 1~5 分钟。

---

### 📌 脚本二:仅提交任务 `submit_job.py`

**适用场景**:仅需提交任务获取 JobId,后续手动查询

```bash
python3 <SKILL_DIR>/scripts/submit_job.py --prompt "文本描述"
```

**可选参数**:与 `main.py` 相同(除 `--poll-interval`、`--max-poll-time`、`--no-poll` 外)

**输出示例**:
```json
{
  "job_id": "job-xxxxxxxxxxxx",
  "request_id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "message": "Task submitted successfully. Use query_job.py to poll for results."
}
```

---

### 📌 脚本三:查询任务 `query_job.py`

**适用场景**:根据 JobId 查询任务状态和结果

```bash
python3 <SKILL_DIR>/scripts/query_job.py "job-xxxxxxxxxxxx" --model hy-3d-3.0
```

**可选参数**:
- `--poll-interval <N>`:轮询间隔秒数,默认 10
- `--max-poll-time <N>`:最大轮询时间秒数,默认 600(10min)
- `--no-poll`:仅查询一次,不轮询
- `--provider <auto|tokenhub|tencent>`:后端选择,默认 auto
- `--model <VERSION>`:TokenHub 查询需要与提交时一致的模型,默认 hy-3d-3.0

**输出示例**:
```json
{
  "job_id": "job-xxxxxxxxxxxx",
  "status": "success",
  "result_files": [
    {
      "type": "glb",
      "url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.glb",
      "preview_image_url": "https://ai3d-xxx.cos.ap-guangzhou.myqcloud.com/xxx.png"
    }
  ]
}
```

---

### 📋 完整调用示例

```bash
# 文生3D(基础)
python3 /path/to/scripts/main.py --prompt "一只可爱的卡通猫咪"

# 图生3D
python3 /path/to/scripts/main.py --image-url "https://example.com/cat.jpg"

# 使用 3.1 版本 + PBR 材质
python3 /path/to/scripts/main.py --prompt "一个精致的茶壶" --model 3.1 --enable-pbr

# 自定义面数
python3 /path/to/scripts/main.py --prompt "一辆跑车" --face-count 300000

# LowPoly 模式
python3 /path/to/scripts/main.py --prompt "一棵树" --generate-type LowPoly --polygon-type quadrilateral

# 白模(Geometry)
python3 /path/to/scripts/main.py --prompt "一个机器人" --generate-type Geometry

# 草图生成
python3 /path/to/scripts/main.py --image-url "https://example.com/sketch.png" --generate-type Sketch --prompt "一把椅子"

# 指定输出格式为 FBX
python3 /path/to/scripts/main.py --prompt "一只恐龙" --result-format FBX

# 多视角输入
python3 /path/to/scripts/main.py --image-url "https://example.com/front.jpg" --multi-view '[{"ViewType":"back","ViewImageUrl":"https://example.com/back.jpg"},{"ViewType":"left","ViewImageUrl":"https://example.com/left.jpg"}]'

# 仅提交任务
python3 /path/to/scripts/main.py --prompt "一座城堡" --no-poll

# 查询已有任务
python3 /path/to/scripts/query_job.py "job-xxxxxxxxxxxx"

# 通过 stdin 传入 JSON 参数
echo '{"prompt":"一只猫"}' | python3 /path/to/scripts/main.py --stdin
```

### 📐 SubmitHunyuanTo3DProJob 参数说明

| 参数 | 类型 | 必选 | 说明 |
|------|------|------|------|
| Model | String | 否 | 模型版本,默认 3.0,可选 3.0/3.1。3.1 版本不支持 LowPoly |
| Prompt | String | 三选一 | 文生3D描述,中文推荐,最多 1024 字符 |
| ImageUrl | String | 三选一 | 输入图 URL,分辨率 128~5000,大小 ≤ 8MB |
| ImageBase64 | String | 三选一 | 输入图 Base64,分辨率 128~5000,大小 ≤ 6MB |
| MultiViewImages | Array | 否 | 多视角图片,视角:left/right/back/top/bottom/left_front/right_front |
| EnablePBR | Boolean | 否 | 开启 PBR 材质,默认 false |
| FaceCount | Integer | 否 | 面数,默认 500000,范围 10000~1500000 |
| GenerateType | String | 否 | Normal/LowPoly/Geometry/Sketch,默认 Normal |
| PolygonType | String | 否 | 仅 LowPoly:triangle/quadrilateral,默认 triangle |
| ResultFormat | String | 否 | STL/USDZ/FBX,默认返回 obj+glb |

### 📐 QueryHunyuanTo3DProJob 响应说明

| 字段 | 类型 | 说明 |
|------|------|------|
| Status | String | WAIT:等待中,RUN:执行中,FAIL:失败,DONE:成功 |
| ErrorCode | String | 错误码 |
| ErrorMessage | String | 错误信息 |
| ResultFile3Ds | Array of File3D | 生成的 3D 文件数组 |

**File3D 结构**:

| 字段 | 类型 | 说明 |
|------|------|------|
| Type | String | 文件格式(如 glb、obj) |
| Url | String | 文件 URL,有效期 24 小时 |
| PreviewImageUrl | String | 预览图 URL |

### ❌ Agent 须避免的行为

- 只打印脚本路径而不执行
- 向用户询问"是否要执行 3D 生成"——应直接执行
- 自动安装依赖或改写全局环境——如需腾讯云 SDK 后端,必须由用户明确选择安装环境
- 忘记读取输出结果中的 `result_files` URL 并返回给用户
- 3D 生成失败时,自行编造文件 URL
- 忘记提醒用户文件 URL 有效期为 24 小时

## API 参考

- TokenHub submit endpoint:`https://tokenhub.tencentmaas.com/v1/api/3d/submit`
- TokenHub query endpoint:`https://tokenhub.tencentmaas.com/v1/api/3d/query`
- TokenHub 鉴权:`Authorization: Bearer <HY3D_OPENAI_API_KEY>`
- TokenHub 模型名:`hy-3d-3.0` / `hy-3d-3.1`
- 腾讯云 SDK 模块:`tencentcloud.ai3d.v20250513`
- 腾讯云 SDK 提交任务:`SubmitHunyuanTo3DProJob`
- 腾讯云 SDK 查询任务:`QueryHunyuanTo3DProJob`
- 腾讯云 SDK endpoint:`ai3d.tencentcloudapi.com`

## 核心脚本

- `scripts/main.py` — 一站式生成,提交任务 + 自动轮询等待结果
- `scripts/submit_job.py` — 仅提交任务,返回 JobId
- `scripts/query_job.py` — 根据 JobId 查询/轮询任务状态和结果

## 依赖

- Python 3.7+
- TokenHub 后端无需第三方 Python 依赖
- `tencentcloud-sdk-python`(仅 `--provider tencent` 需要,需包含 ai3d 模块)

安装腾讯云 SDK 依赖(可选):
```bash
pip install tencentcloud-sdk-python
```

Revisar el código fuente

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Abrir auditoría completa

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Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
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Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

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Repositorio fuente
kangarooking/kangarooking-skills
Licencia
Desconocido
Versión
1.0.0
Último push de GitHub
31 ago 2026
Registro actualizado
19 sept 2026
Ruta de instrucciones
hy-3d-gen/SKILL.md

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

66/100

Prometedor

Confianza

55/100

Do not auto-install

Auditoría

71/100

Requiere revisión

  • La licencia no está clara
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Repository license is listed as 'Unknown' on GitHub; the skill does not include a LICENSE file or explicit licensing terms.
  • The SKILL.md mentions it is based on a ClawHub package but does not provide clear attribution or license compliance details.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • License clarity: Unknown
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Más detalles
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    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "kangarooking-hy-3d-gen",
      "task": "Use hy-3d-gen in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/kangarooking-hy-3d-gen",
    "api": "https://www.openagentskill.com/api/agent/skills/kangarooking-hy-3d-gen",
    "audit": "https://www.openagentskill.com/skills/kangarooking-hy-3d-gen/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=kangarooking-hy-3d-gen&task=Use%20hy-3d-gen%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20hy-3d-gen%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20hy-3d-gen%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/kangarooking-hy-3d-gen/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/kangarooking-hy-3d-gen"
  }
}

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