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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。
Registry indexed
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。
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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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。
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。
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 |
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。
https://tokenhub.tencentmaas.com/v1/api/3d/submit 与 /query--provider auto 默认优先 TokenHub；--provider tokenhub 强制 TokenHub；--provider tencent 强制腾讯云 SDK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。
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。
Step 1: 开通混元3D服务
Step 2: 获取 API 密钥
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。
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。
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。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。
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."
}
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"
}
]
}
# 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
| 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 |
| 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 |
result_files URL 并返回给用户https://tokenhub.tencentmaas.com/v1/api/3d/submithttps://tokenhub.tencentmaas.com/v1/api/3d/queryAuthorization: Bearer <HY3D_OPENAI_API_KEY>hy-3d-3.0 / hy-3d-3.1tencentcloud.ai3d.v20250513SubmitHunyuanTo3DProJobQueryHunyuanTo3DProJobai3d.tencentcloudapi.comscripts/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 JobIdscripts/query_job.py — 根据 JobId 查询/轮询任务状态和结果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
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。
---
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
```
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Unknown
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
69/100
Promising
Trust
57/100
Do not auto-install
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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Audit
74/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.