腾讯云混元文生图像生成

Name: 腾讯云混元文生图像生成
Author: mebusw

Description

使用腾讯混元生图 3.0（HunyuanImage 3.0）生成图片。当用户需要调用混元/腾讯云生图、hunyuan 生图、huny-img 生图时，使用此 skill。调用 Python 脚本完成文生图（text-to-image）和图生图（image-to-image）任务，接口风格与 wanx-img sk...

README (SKILL.md)

Overview

本 skill 通过调用腾讯云 AI Art API（混元生图 3.0）实现文生图和图生图功能。采用异步任务模式：先提交（SubmitTextToImageJob），再轮询查询（QueryTextToImageJob）直至完成。

Workflow

判断用户意图：文生图（无参考图）还是图生图（提供参考图 URL）
解析图像分辨率：支持比例字符串或像素字符串，转换见下表
若用户提供了参考图 URL/路径，直接将 URL 传入脚本的 --images 参数（无需下载）
运行脚本生成图片（异步轮询，约 30–90 秒）
输出：原始 prompt、扩写后 prompt（若开启改写）、分辨率、JobId、图片完整 URL

⚠️ 生成的图片 URL 有效期仅 1 小时，务必在输出中完整展示，提醒用户及时保存。

分辨率对照表

文生图默认 1024:1024；宽高均需在 [512, 2048] 范围内，乘积 ≤ 1024×1024。

比例	像素尺寸
1:1	1024:1024
3:4	768:1024
4:3	1024:768
9:16	720:1280
16:9	1280:720

图生图时若不传分辨率，模型将从 37 种预设尺寸中自动选择。

Available Scripts

hunyuan3-text-to-image.py — 文生图（支持可选参考图实现图生图），使用混元生图 3.0

Setting Up

首次使用时，进入目录并安装依赖：

cd ~/.claude/skills/huny-img
python3 -m venv ~/.pyenv/versions/py312-huny-img
source ~/.pyenv/versions/py312-huny-img/bin/activate
pip install python-dotenv
cp .env.example .env
# 编辑 .env，填入 TENCENTCLOUD_SECRET_ID 和 TENCENTCLOUD_SECRET_KEY

后续执行脚本时，优先用：

~/.pyenv/versions/py312-huny-img/bin/python ./scripts/hunyuan3-text-to-image.py ...

若 venv 不存在，可直接用系统 python3（脚本仅依赖标准库 + python-dotenv）：

pip install python-dotenv --break-system-packages
python3 ./scripts/hunyuan3-text-to-image.py ...

Usage Examples

文生图（默认 1:1）

~/.pyenv/versions/py312-huny-img/bin/python "./scripts/hunyuan3-text-to-image.py" \
  -p "雨中竹林小路，水墨风格"

指定比例

~/.pyenv/versions/py312-huny-img/bin/python "./scripts/hunyuan3-text-to-image.py" \
  -p "夕阳下的城市天际线，摄影风格" \
  -r 16:9

指定像素尺寸 + 关闭 prompt 改写

~/.pyenv/versions/py312-huny-img/bin/python "./scripts/hunyuan3-text-to-image.py" \
  -p "可爱的柴犬在草地上奔跑" \
  -r 768:1024 \
  --no-revise

图生图（提供参考图 URL）

~/.pyenv/versions/py312-huny-img/bin/python "./scripts/hunyuan3-text-to-image.py" \
  -p "参考图的风格，生成一幅秋日枫林场景" \
  --images "http://example.com/ref1.jpg" "http://example.com/ref2.jpg"

固定随机种子（复现结果）

~/.pyenv/versions/py312-huny-img/bin/python "./scripts/hunyuan3-text-to-image.py" \
  -p "星空下的雪山" \
  --seed 42

Script Arguments

参数	简写	说明	默认值
`--prompt`	`-p`	文本描述提示词	示例花店
`--resolution`	`-r`	分辨率（比例或像素，如 `16:9` 或 `1024:768`）	`1024:1024`
`--seed`	—	随机种子（正整数）	随机
`--logo`	—	添加水印：0=否，1=是	`0`
`--no-revise`	—	关闭 prompt 改写（开启改写约增加 20s）	默认开启
`--images`	—	参考图 URL 列表（最多 3 张）	无
`--poll-interval`	—	轮询间隔秒数	`5`
`--timeout`	—	最长等待秒数	`300`

Requirements

Python 3.8+
python-dotenv（其余全为标准库，无需安装 tencentcloud SDK）
腾讯云账号，已开通「腾讯混元生图」服务
在 .env 中配置：
- TENCENTCLOUD_SECRET_ID
- TENCENTCLOUD_SECRET_KEY
- TENCENTCLOUD_REGION（可选，默认 ap-guangzhou）

Usage Guidance

This skill appears to implement exactly what it claims: it sends your prompts (and any reference-image URLs you supply) to Tencent's AI Art API and returns job status and image URLs. Before installing: - Note the registry metadata omits required environment variables, but the SKILL.md and script do require TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY; do not rely on the registry listing alone. - Only provide Tencent credentials if you trust the skill source; these keys grant access to your Tencent account's AI Art API and could be abused if leaked. Prefer creating limited-permission or billing-restricted credentials if possible. - Review the script yourself (it is short and included). It implements TC3 signing and talks to aiart.tencentcloudapi.com — there are no hidden external endpoints. - The script prints prompts and revised prompts; consider that prompts are sent to Tencent (so any sensitive information in prompts will be transmitted). - If you are uncomfortable providing long-lived keys, run the script locally in an isolated environment, or avoid installing the skill. If the metadata inconsistency matters for automation/policy, ask the publisher to correct the registry entry.

Capability Assessment

ℹ Purpose & Capability

The skill name, SKILL.md, and the included Python script all consistently implement Tencent 混元生图 (HunyuanImage 3.0) text-to-image and image-to-image flows. However, the registry metadata declared no required environment variables while the SKILL.md and script both require TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY. That metadata omission is an inconsistency (likely sloppy packaging) but the credentials themselves are coherent with the skill's purpose.

✓ Instruction Scope

SKILL.md runtime instructions stay within the stated scope: preparing a venv, installing python-dotenv, setting TENCENTCLOUD_* in a .env file, and invoking the provided script. The script builds TC3-HMAC-SHA256 auth headers and POSTs to aiart.tencentcloudapi.com, polls job status, and prints prompt and returned image URLs. It does not read unrelated system files, does not download user-provided reference images (it sends their URLs), and does not forward data to unexpected endpoints.

✓ Install Mechanism

This is an instruction-only skill (no installer). Installation is manual: create a Python venv and pip install python-dotenv. No downloads from untrusted URLs or archive extraction are present. The only dependency is python-dotenv, which is modest and expected for .env handling.

⚠ Credentials

The script requires Tencent cloud credentials (TENCENTCLOUD_SECRET_ID, TENCENTCLOUD_SECRET_KEY, optional REGION) and SKILL.md tells users to place them in .env — that is proportionate to calling Tencent APIs. The problem: the skill metadata in the registry declared no required env vars/credentials. This mismatch is a packaging/declaration issue that could mislead users or automated policy checks. No other unrelated credentials are requested.

✓ Persistence & Privilege

The skill does not request always:true and is user-invocable only. It does not modify other skills or system-wide configs. It only directs the agent to run the included script when invoked.

Version History

v1.0.0

- Initial release of the huny-img skill, enabling image generation using Tencent HunyuanImage 3.0. - Supports both text-to-image and image-to-image workflows, with optional reference image URLs. - Async job submission and polling model; guides on handling generated image URLs (valid for 1 hour). - Offers flexible resolution options, including aspect ratios and direct pixel sizes. - Provides clear script usage instructions and parameter details for easy setup and use.

Metadata

Slug hunyuan-text-to-image

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is 腾讯云混元文生图像生成?

使用腾讯混元生图 3.0（HunyuanImage 3.0）生成图片。当用户需要调用混元/腾讯云生图、hunyuan 生图、huny-img 生图时，使用此 skill。调用 Python 脚本完成文生图（text-to-image）和图生图（image-to-image）任务，接口风格与 wanx-img sk... It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.

How do I install 腾讯云混元文生图像生成?

Run "/install hunyuan-text-to-image" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 腾讯云混元文生图像生成 free?

Yes, 腾讯云混元文生图像生成 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 腾讯云混元文生图像生成 support?

腾讯云混元文生图像生成 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 腾讯云混元文生图像生成?

It is built and maintained by Jacky Shen (@mebusw); the current version is v1.0.0.

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