imgnorm

AI图像处理工具集 —— 涵盖图片等比缩放、Flux Kontext / GPT 图像尺寸适配、比例分析、违禁词检测、ComfyUI服务管理等场景。

特性

图片缩放与归一化
- image_resize：等比缩放并居中放置到指定画布，支持自定义背景色
- ImageTool：多功能比例调整，支持标准比例匹配、fill/resize双模式、自定义放大百分比
AI 模型尺寸适配
- FluxKontextImageScale：自动匹配 17 个 Flux Kontext 优选分辨率并缩放
- GPTImageSizeCalculator：根据比例 + 分辨率档位（1k/2k/4k）生成 gpt-image-2 合法尺寸
图片比例分析
- ImageRatioAnalyzer：获取精确最简比例（GCD 约分）或近似简单整数比例
内容安全
- PromptBanChecker：内置加密违禁词库开箱即用，支持自定义词库合并、排除词、Aho-Corasick 大词库加速
ComfyUI 服务管理
- ComfyUIManager：一键触发重启 + 轮询等待服务恢复

安装

pip install imgnorm

可选扩展：

pip install imgnorm[fast]     # 大词库 Aho-Corasick 加速（推荐词库 >50 时安装）
pip install imgnorm[comfyui]  # ComfyUI 服务管理功能
pip install imgnorm[dev]      # 开发环境（包含全部扩展 + pytest）

使用示例

image_resize — 等比缩放居中

from PIL import Image
from imgnorm import image_resize

# 打开图片
img = Image.open("input.jpg")

# 缩放到 640x480，默认黑色背景
result = image_resize(img, 640, 480)
result.save("output.jpg")

# 自定义背景颜色（白色）
result = image_resize(img, 640, 480, bg_color=(255, 255, 255))
result.save("output_white.jpg")

FluxKontextImageScale — Flux Kontext 优选分辨率缩放

from PIL import Image
from imgnorm import FluxKontextImageScale

img = Image.open("input.jpg")

# 自动匹配最接近原图宽高比的 Flux Kontext 优选分辨率并缩放
scaler = FluxKontextImageScale(img)
result = scaler.start()
result.save("output_kontext.jpg")

ImageTool — 多功能比例调整工具

from imgnorm import ImageTool

# 读取图片二进制数据
with open("input.jpg", "rb") as f:
    image_bytes = f.read()

# 自动匹配最接近的标准比例，最小边放大 10%（默认）并填充透明背景
tool = ImageTool()
result_bytes = tool.adjust_size(image_bytes)

# 自定义放大百分比（放大 20%）
result_bytes = tool.adjust_size(image_bytes, expand_percent=20)

# 不缩放（expand_percent=0）
result_bytes = tool.adjust_size(image_bytes, expand_percent=0)

# 指定目标比例 3:4，使用 resize 模式
tool = ImageTool(proportion="3:4", need_adjust="resize")
result_bytes = tool.adjust_size(image_bytes)

# 指定目标比例 1:1，自定义填充色（白色不透明）
tool = ImageTool(proportion="1:1", need_adjust="fill", fill_color=(255, 255, 255, 255))
result_bytes, matched_ratio = tool.adjust_size(image_bytes, return_origin_ratio=True)
print(f"原图匹配比例: {matched_ratio}")

# 保存结果
with open("output.png", "wb") as f:
    f.write(result_bytes)

GPTImageSizeCalculator — gpt-image-2 尺寸计算器

from imgnorm import GPTImageSizeCalculator

# 计算 16:9 比例、2K 分辨率的合法尺寸
result = GPTImageSizeCalculator.calc_size(aspect_ratio="16:9", resolution="2k")
print(result)
# {'width': 2560, 'height': 1440, 'size': '2560x1440', 'pixels': 3686400, 'aspect_ratio': '16:9', 'resolution': '2k', 'valid': True}

# 计算 1:1 比例、4K 分辨率的合法尺寸
result = GPTImageSizeCalculator.calc_size(aspect_ratio="1:1", resolution="4k")
print(result['size'])  # 2880x2880

# 校验尺寸是否合法
is_valid = GPTImageSizeCalculator.is_valid_image_size(1024, 1024)  # True

# 比例超过 3:1 时，默认自动钳位到最近合法比例（保持横竖方向）
result = GPTImageSizeCalculator.calc_size(aspect_ratio="1:10", resolution="4k")
print(result['size'])  # 1280x3840（自动调整为 1:3）

# 严格模式：超限比例直接抛出异常
result = GPTImageSizeCalculator.calc_size(aspect_ratio="1:10", resolution="4k", strict=True)
# → ServiceError: 图像宽高比不合法, 相差太大

ImageRatioAnalyzer — 图片比例分析器

from imgnorm import ImageRatioAnalyzer

with open("input.jpg", "rb") as f:
    image_bytes = f.read()

analyzer = ImageRatioAnalyzer()

raw_ratio = analyzer.get_raw_simple_ratio(image_bytes)
# 精确比例: 74:55
print(f"精确比例: {raw_ratio}")

approx_ratio = analyzer.get_approx_simple_ratio(image_bytes)
# 近似比例: 4:3
print(f"近似比例: {approx_ratio}")

# 调整搜索范围（默认 1~10，增大可匹配更复杂比例）
analyzer = ImageRatioAnalyzer(approx_search_range=20)
# 19:14
print(analyzer.get_approx_simple_ratio(image_bytes))
# 74:55
print(analyzer.get_raw_simple_ratio(image_bytes))

ComfyUIManager — ComfyUI 服务管理

import logging
from imgnorm import ComfyUIManager

# 配置日志（可选）
logger = logging.getLogger("comfyui")
logging.basicConfig(level=logging.DEBUG)

# 创建管理器（默认连接本地 8188 端口）
manager = ComfyUIManager(logger=logger)

# 发起重启并等待服务恢复
success = manager.run_reboot_and_wait()
if success:
    print("服务重启成功")
else:
    print("服务重启超时")

# 自定义配置
manager = ComfyUIManager(
    base_url="http://127.0.0.1:8188",
    timeout=10,
    max_wait_seconds=120,
    poll_interval=3.0,
    logger=logger
)

PromptBanChecker — 提示词违禁词检测

from imgnorm import PromptBanChecker, PromptBanError

# 1. 开箱即用：自动加载内置加密违禁词库（1300+ 词）
checker = PromptBanChecker()

# 2. 内置词库 + 自定义文件合并
checker = PromptBanChecker(ban_word_file="my_words.txt")

# 3. 内置词库 + 运行时注入额外词
checker = PromptBanChecker(builtin_words=["自定义违禁词1", "自定义违禁词2"])

# 4. 排除内置词库中的某些词
checker = PromptBanChecker(exclude_words=["nude", "色情"])

# 5. 关闭内置词库，完全使用自己的
checker = PromptBanChecker(use_default=False, ban_word_file="my_words.txt")

# 校验提示词
try:
    checker.check("some prompt text here")
    print("校验通过")
except PromptBanError as e:
    print(f"违禁词拦截: {e.error_msg}")
    print(f"命中词: {e.extend_data}")

# 查找所有命中词（不抛异常）
hits = checker.find_matched_words("text to check")
print(f"命中: {hits}")

# 重新加载违禁词
checker.load_banned_words()

违禁词加载顺序： 包内置默认词库 → builtin_words 参数 → ban_word_file 用户文件，三者自动合并去重。

性能引擎： 词库 < 50 词自动使用正则预编译；≥ 50 词且已安装 pyahocorasick 时自动切换 Aho-Corasick 算法（O(n) 扫描，与词库大小无关）。

API 说明

`image_resize(image, target_w, target_h, bg_color=(0, 0, 0))`

将图片等比缩放并居中放置到指定尺寸的画布上。

参数	类型	说明
`image`	`PIL.Image.Image`	输入图片对象
`target_w`	`int`	目标宽度
`target_h`	`int`	目标高度
`bg_color`	`tuple`	画布背景颜色（RGB 元组），默认黑色 `(0, 0, 0)`

返回值： 缩放并居中后的 PIL.Image.Image 对象。

处理逻辑：

创建指定尺寸和背景色的画布
计算等比缩放比例（取宽、高缩放比的最小值），确保图片完整放入画布
使用 LANCZOS 算法高质量缩放图片
计算居中偏移量，将缩放后的图片粘贴到画布中央

`FluxKontextImageScale(image)`

根据原图宽高比，将图片缩放到最接近的 Flux Kontext 优选分辨率。

参数	类型	说明
`image`	`PIL.Image.Image`	输入图片对象

方法 start()： 计算原图宽高比，从 17 个优选分辨率中匹配最接近的一个，使用 LANCZOS 算法缩放并返回结果图片。

优选分辨率列表（宽×高）： 672×1568 · 688×1504 · 720×1456 · 752×1392 · 800×1328 · 832×1248 · 880×1184 · 944×1104 · 1024×1024 · 1104×944 · 1184×880 · 1248×832 · 1328×800 · 1392×752 · 1456×720 · 1504×688 · 1568×672

返回值： 缩放后的 PIL.Image.Image 对象。

`ImageTool(proportion=None, need_adjust="fill", fill_color=(255,255,255,0))`

多功能图片尺寸调整工具，支持标准比例匹配和两种调整模式。

参数	类型	说明
`proportion`	`str \| None`	目标比例，如 `"3:4"` / `"1:1"`；空字符串或 `None` 表示自动匹配
`need_adjust`	`str`	调整模式：`"fill"`（画布填充）或 `"resize"`（拉伸）
`fill_color`	`tuple`	填充背景色 RGBA，默认透明 `(255, 255, 255, 0)`

方法 adjust_size(image_bytes, return_origin_ratio=False, expand_percent=10)：

参数	类型	说明
`image_bytes`	`bytes`	图片二进制数据
`return_origin_ratio`	`bool`	是否同时返回原图匹配的标准比例字符串
`expand_percent`	`float`	放大百分比，默认 10（放大 10%）；传 0 不缩放，负数缩小

返回值： bytes（处理后图片数据）；当 return_origin_ratio=True 时返回 (bytes, str)。

标准比例池： 1:1 · 2:3 · 3:2 · 3:4 · 4:3 · 4:5 · 5:4 · 9:16 · 16:9 · 21:9

处理逻辑：

proportion 存在且与原图最接近标准比例不一致 → 直接返回原图
proportion 存在且一致 → 反转比例后执行 resize/fill
proportion 为空且 need_adjust="fill" → 最小边按 expand_percent 放大，画布填充
proportion 为空且 need_adjust="resize" → 单边按 expand_percent 放大后拉伸

`GPTImageSizeCalculator`

gpt-image-2 尺寸计算器，根据比例和分辨率自动生成合法图片尺寸。

类方法：

方法	说明
`calc_size(aspect_ratio="1:1", resolution="2k", strict=False)`	根据比例和分辨率计算合法尺寸
`is_valid_image_size(width, height)`	校验尺寸是否合法
`round_to_multiple(value, multiple=16)`	四舍五入到指定倍数
`floor_to_multiple(value, multiple=16)`	向下对齐到指定倍数，用于像素超限时压缩

calc_size 参数：

参数	类型	说明
`aspect_ratio`	`str`	宽高比，如 `"1:1"` / `"16:9"` / `"4:3"`
`resolution`	`str`	分辨率档位：`"1k"` / `"2k"` / `"4k"`
`strict`	`bool`	是否严格校验宽高比（≤3:1），默认 `False`（超限自动钳位到最近合法比例）；`True` 时超限直接抛出 `ServiceError`

返回值： dict，包含 width、height、size、pixels、aspect_ratio、resolution、valid。

合法性约束：

最大边 ≤ 3840
宽高为 16 的倍数
宽高比 ≤ 3:1
像素范围：655,360 ~ 8,294,400

`ImageRatioAnalyzer(approx_search_range=10)`

图片比例分析工具，获取图片的宽高比信息。

参数	类型	说明
`approx_search_range`	`int`	近似比例搜索整数范围，默认 1~10

方法：

方法	说明
`get_raw_simple_ratio(image_bytes)`	获取精确最简宽高比（GCD 约分）
`get_approx_simple_ratio(image_bytes)`	自动拟合近似简单整数比例

get_raw_simple_ratio： 通过最大公约数约分，返回精确的最简比例字符串，如 1920x1080 → "16:9"。

get_approx_simple_ratio： 遍历 1~approx_search_range 范围内的整数组合，找到与图片实际比例最接近的简单整数比，返回如 "2:3"、"16:9"。

返回值： 比例字符串（str）。

`ComfyUIManager`

ComfyUI 服务管理工具，位于 imgnorm.comfyui 子模块。

参数	类型	说明
`base_url`	`str`	服务地址，默认 `"http://127.0.0.1:8188"`
`timeout`	`int`	请求超时秒数，默认 `5`
`max_wait_seconds`	`int`	最长等待恢复时间，默认 `60`
`poll_interval`	`float`	轮询间隔秒数，默认`2.0`
`logger`	`logging.Logger`	日志记录器，默认使用模块`logger`

方法：

方法	说明
`trigger_reboot()`	发起重启请求，远程断开视为成功
`wait_service_ready()`	轮询检测服务是否恢复，超时返回`False`
`run_reboot_and_wait()`	完整流程：重启 + 等待，返回`bool`

工作原理：

调用 /api/manager/reboot 接口触发重启
轮询 /api/system_stats 接口，状态码 200 判定恢复
超时未恢复返回 False

安装： 使用 comfyui 功能需额外安装 requests：

pip install imgnorm[comfyui]
# 或
pip install requests>=2.20.0

`PromptBanChecker(ban_word_file=None, ignore_case=True, builtin_words=None, use_default=True, exclude_words=None)`

提示词违禁词校验工具。内置加密违禁词库开箱即用，支持多来源词库合并、排除词、大词库自动加速。

参数	类型	说明
`ban_word_file`	`str \| None`	用户自定义违禁词文件路径（可选，支持 `.txt` / `.pkl` / `.pickle`）
`ignore_case`	`bool`	是否忽略大小写，默认 `True`
`builtin_words`	`list[str] \| None`	运行时注入的违禁词列表，与内置词库合并去重
`use_default`	`bool`	是否加载包内置默认违禁词库，默认 `True`
`exclude_words`	`list[str] \| None`	从最终词库中排除的词列表

方法：

方法	说明
`check(prompt)`	校验提示词，命中则抛出 `PromptBanError`
`find_matched_words(text)`	查找所有命中词，返回列表
`load_banned_words()`	重新加载并合并所有来源的违禁词
`create_pickle_file(words, output_path)`	静态方法：将词列表序列化为 pickle 文件

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Provenance

The following attestation bundles were made for imgnorm-1.0.4-cp38-cp38-manylinux_2_17_x86_64.whl:

Publisher: wheels.yml on zhenzi0322-package/imgnorm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: imgnorm-1.0.4-cp38-cp38-manylinux_2_17_x86_64.whl
- Subject digest: 03c3ef446d2312ab98f19fa74cab4ca5fc12e51569d300abf8975a4ab1e325bc
- Sigstore transparency entry: 2484329174
- Sigstore integration time: Aug 16, 2026
Source repository:
- Permalink: zhenzi0322-package/imgnorm@a36187d33fbb4c910f32f0cf549c991fc18c0e09
- Branch / Tag: refs/tags/v1.0.4
- Owner: https://github.com/zhenzi0322-package
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: wheels.yml@a36187d33fbb4c910f32f0cf549c991fc18c0e09
- Trigger Event: push

Release history Release notifications | RSS feed

This release

1.0.4

Aug 16, 2026

1.0.3

Aug 9, 2026

1.0.2

Jul 25, 2026

1.0.1

Jul 25, 2026

imgnorm 1.0.4

imgnorm

特性

安装

使用示例

image_resize — 等比缩放居中

FluxKontextImageScale — Flux Kontext 优选分辨率缩放

ImageTool — 多功能比例调整工具

GPTImageSizeCalculator — gpt-image-2 尺寸计算器

ImageRatioAnalyzer — 图片比例分析器

ComfyUIManager — ComfyUI 服务管理

PromptBanChecker — 提示词违禁词检测

API 说明

image_resize(image, target_w, target_h, bg_color=(0, 0, 0))

FluxKontextImageScale(image)

ImageTool(proportion=None, need_adjust="fill", fill_color=(255,255,255,0))

GPTImageSizeCalculator

ImageRatioAnalyzer(approx_search_range=10)

ComfyUIManager

PromptBanChecker(ban_word_file=None, ignore_case=True, builtin_words=None, use_default=True, exclude_words=None)

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1 maintainer

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`image_resize(image, target_w, target_h, bg_color=(0, 0, 0))`

`FluxKontextImageScale(image)`

`ImageTool(proportion=None, need_adjust="fill", fill_color=(255,255,255,0))`

`GPTImageSizeCalculator`

`ImageRatioAnalyzer(approx_search_range=10)`

`ComfyUIManager`

`PromptBanChecker(ban_word_file=None, ignore_case=True, builtin_words=None, use_default=True, exclude_words=None)`