📖 介绍
声明
本插件仅供娱乐和学习交流。本插件仅供娱乐和学习交流。目前1.x版本仍处于内测阶段,生成图片可能并不理想,如有BUG等问题随时欢迎进群反馈。
简介
世界就是一个巨大的奶龙~
技术
基于StableDiffusion模型,通过Lora微调训练而来
安装
以下提到的方法 任选其一 即可
[推荐] 使用 nb-cli 安装
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装nb plugin install nonebot-plugin-nailongmagic
使用包管理器安装
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令pip
pip install nonebot-plugin-nailongmagic
pdm
pdm add nonebot-plugin-nailongmagic
poetry
poetry add nonebot-plugin-nailongmagic
conda
conda install nonebot-plugin-nailongmagic
打开 nonebot2 项目根目录下的 pyproject.toml 文件, 在 [tool.nonebot] 部分的 plugins 项里追加写入
[tool.nonebot]
plugins = [
# ...
"nonebot_plugin_nailongmagic"
]
⚙️ 配置
在 nonebot2 项目的 .env 文件中添加下表中的必填配置
| 配置项 | 必填 | 默认值 | 说明 |
|---|---|---|---|
| 全局配置 | |||
PROXY |
否 | None |
下载模型等文件时使用的代理地址 |
| 响应配置 | |||
NAILONGMAGIC_NEED_SUPERUSER |
否 | True |
是否只处理超级用户发送的图片 |
NAILONGMAGIC_LIST_SCENES |
否 | [] |
聊天场景 ID 黑白名单列表 在单级聊天下为该聊天 ID,如 QQ 群号; 在多级聊天下为以 _ 分割的各级聊天 ID,如频道下的子频道或频道下私聊 |
NAILONGMAGIC_BLACKLIST |
否 | True |
是否使用黑名单模式 |
NAILONGMAGIC_USER_BLACKLIST |
否 | [] |
用户 ID 黑名单列表 |
NAILONGMAGIC_PRIORITY |
否 | 100 |
Matcher 优先级 |
| 模型配置 | |||
NAILONGMAGIC_TIP |
否 | ["奶龙已生成~{$checked_result}"] |
发送的提示,使用 Alconna 的消息模板,可用变量见下,随机发送列表其中一条消息 |
NAILONGMAGIC_PROMPT |
否 | ["nailong"] |
模型生成图片所使用的关键词 |
NAILONGMAGIC_CACHE_DIR |
否 | ./data/nailongmagic |
模型的下载位置 |
NAILONGMAGIC_AUTO_UPDATE_MODEL |
否 | True |
是否自动更新模型 |
NAILONGMAGIC_HF_TOKEN |
否 | None |
GitHub Access Token,遇到模型下载或更新问题时可尝试填写 |
消息模板可用变量
| 变量名 | 类型 | 说明 |
|---|---|---|
$event |
Event |
当前事件 |
$target |
Target |
事件目标 |
$message_id |
str |
消息 ID |
$msg |
UniMessage |
当前消息 |
$ss |
Session |
当前会话 |
$checked_result |
Image |
模型生成的图片 |
🎉 使用
发送“变奶龙+[咒语(可选,即prompt)]+图片”,等待时间后,即可收到bot返回消息,例如:变奶龙nailong[图片],或者变奶龙[图片]
📞 联系
-
机器人插件学习交流群:200980266(安装部署,机器人 BUG 模型精度等问题反馈来这里哟)
-
人工智能学习交流群:949992679(学习交流 AI 相关技术可以来这里捏)
欢迎大家进群一起学习交流~
📝 更新日志
1.0.0
- 创建了插件
Metadata
Release files for nonebot-plugin-nailongmagic 1.0.5.post2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nonebot_plugin_nailongmagic-1.0.5.post2.tar.gz | 10.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nonebot_plugin_nailongmagic-1.0.5.post2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.4 kB
Release files / nonebot_plugin_nailongmagic-1.0.5.post2.tar.gz
| Download URL | nonebot_plugin_nailongmagic-1.0.5.post2.tar.gz |
|---|---|
| Size | 10.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0aab08b151513f36f0647e8bc1a8eef22b599217fc7e9a3644de6d06fc39bb0d
|
|
BLAKE2b-256 checksum How to use checksums |
80f6b8a97b7294ed95279b6ef9c0d98931cb8936d1510759cb523672e0c3d009
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 29, 2025.
Transparency logRelease files / nonebot_plugin_nailongmagic-1.0.5.post2-py3-none-any.whl
| Download URL | nonebot_plugin_nailongmagic-1.0.5.post2-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e2c9c413c1bdb5ed453e2c66adf2fd2be764e26796252bc3bc1e727caa2e9bfa
|
|
BLAKE2b-256 checksum How to use checksums |
14d69778c62a396eef5553e0b7dac74c9f059e2499632f0a951b4ff26d768938
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 29, 2025.
Transparency log