MIT License

项目介绍

Cuimao777/eterna-image2image-skill 是一个托管在 GitHub 上的开源项目,采用 MIT License 许可证,目前获得 185 个 Star、23 次 Fork。

仓库全名
Cuimao777/eterna-image2image-skill
开源许可证
MIT License
Star 数
185
Fork 数
23

README 摘要

ETERNA Image2Image Skill Experimental bilingual Codex skill for ETERNA-inspired image-to-image cinematic color, tone, composition, and anti-AI polish. This is an experimental skill that I am actively improving. The goal is to help image2image outputs become more cinematic through color discipline, composition guidance, lighting restraint, texture control, and stronger negative constraints, while reducing the obvious…

完整内容见 GitHub 原始 README 或本页 。

常见问题

eterna-image2image-skill 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 eterna-image2image-skill 的源码?

可以直接克隆仓库:git clone https://github.com/Cuimao777/eterna-image2image-skill.git,默认分支为 main;安装与运行步骤见仓库 README。

eterna-image2image-skill 最近还在维护吗?

仓库最近一次更新为 6月26日,当前没有未关闭的 Issue;Star 数为 185,可作为社区活跃度的参考。

关于

Experimental bilingual Codex skill for ETERNA-inspired image2image cinematic color and composition.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
231
价值分
117
活跃状态
活跃

贡献者

README

ETERNA Image2Image Skill

Experimental bilingual Codex skill for ETERNA-inspired image-to-image cinematic color, tone, composition, and anti-AI polish.

This is an experimental skill that I am actively improving. The goal is to help image2image outputs become more cinematic through color discipline, composition guidance, lighting restraint, texture control, and stronger negative constraints, while reducing the obvious “AI-generated” feeling. Forks, tests, critiques, and pull requests are welcome.

Not affiliated with Fujifilm. “ETERNA” is used here as an inspiration and descriptive reference for a restrained cinema look. This repo does not include official Fujifilm LUTs or proprietary color science.

What It Does

  • Applies an ETERNA-inspired cinema grade: muted saturation, soft highlight roll-off, readable shadows, natural skin, restrained greens and steel blues.
  • Guides image2image edits toward film still composition rather than generic AI portrait output.
  • Preserves subject identity, scene logic, camera perspective, and motivated lighting unless the user asks for a creative rewrite.
  • Provides three working modes: standard-eterna, clean-cinema-eterna, and eterna-bleach-bypass.
  • Includes practical palette, negative constraints, LUT workflow notes, and cinematic composition guidance.

Install

PowerShell:

$skillsDir = Join-Path $env:USERPROFILE ".codex\skills"
New-Item -ItemType Directory -Force -Path $skillsDir | Out-Null
Copy-Item -Recurse -Force ".\skill\eterna-image2image" $skillsDir

macOS / Linux:

mkdir -p "${CODEX_HOME:-$HOME/.codex}/skills"
cp -R skill/eterna-image2image "${CODEX_HOME:-$HOME/.codex}/skills/"

Usage

Ask Codex to use the skill explicitly:

Use $eterna-image2image to transform this image into a professional ETERNA-inspired cinema still.

For A/B testing:

Generate one version without the skill and one version with $eterna-image2image standard-eterna, then compare them side by side.

Sample Tests

The following samples are early image2image test frames. They are not final benchmarks; they are included to show the current direction of the skill.

War Film Frame

War film A/B comparison

Romance Film Frame

Romance film A/B comparison

Deep Night NYC Street Corner

NYC night romance A/B comparison

LA Alley Night Exterior

LA alley A/B comparison

Bedroom Romance Frame

Bedroom romance A/B comparison

Repository Layout

skill/eterna-image2image/
  SKILL.md
  agents/openai.yaml
  references/
    eterna-color-spec.md
    composition-guide.md
    lut-workflow.md
examples/
  *.png

Roadmap

  • Refine scene-specific prompt blocks for war, romance, night exterior, interior drama, documentary, and editorial stills.
  • Add more controlled A/B samples with identical subjects and scene prompts.
  • Improve composition heuristics for reducing generic centered AI framing.
  • Add optional color-check scripts for palette sampling and saturation/contrast diagnostics.
  • Explore user-supplied reference still workflows without bundling copyrighted or proprietary LUT assets.

Contributing

Forks are welcome. Useful contributions include:

  • Better ETERNA-inspired color prompts and negative constraints.
  • New A/B comparison samples with clear prompt notes.
  • Composition and lighting heuristics that reduce AI artifacts.
  • Compatibility notes for different image generation models.

ETERNA Image2Image Skill 中文说明

这是一个中英双语、实验性的 Codex skill,用于为 image2image 图生图工作流提供 ETERNA 启发的电影级色彩、影调、构图和反 AI 味优化。

这个 skill 仍在持续完善中。我的目标是让图生图结果从色彩、构图、光线、质感和负向约束等方向更接近电影截图,减少常见的 AI 生成感。欢迎大家 fork、测试、提出建议或提交 PR。

本项目与 Fujifilm 无官方关联。这里的 “ETERNA” 仅作为一种克制、电影化色彩方向的灵感参考。本仓库不包含官方 Fujifilm LUT,也不声称复刻专有色彩科学。

它解决什么问题

  • 给图生图结果加入 ETERNA 启发的电影调色:低饱和、柔和高光、可读暗部、自然肤色、克制的橄榄绿和钢蓝色。
  • 引导画面更像电影截图,而不是常见的 AI 头像照、宣传照或过度锐化的数字照片。
  • 默认保留人物身份、场景逻辑、镜头透视和主要光线,只在用户明确要求时做创意改写。
  • 提供三种工作模式:standard-eterna、clean-cinema-eterna、eterna-bleach-bypass。
  • 附带实用色盘、负向约束、LUT 工作流说明和电影构图参考。

安装

PowerShell:

$skillsDir = Join-Path $env:USERPROFILE ".codex\skills"
New-Item -ItemType Directory -Force -Path $skillsDir | Out-Null
Copy-Item -Recurse -Force ".\skill\eterna-image2image" $skillsDir

macOS / Linux:

mkdir -p "${CODEX_HOME:-$HOME/.codex}/skills"
cp -R skill/eterna-image2image "${CODEX_HOME:-$HOME/.codex}/skills/"

使用方式

可以直接要求 Codex 使用这个 skill:

使用 $eterna-image2image,把这张图转成专业 ETERNA 启发的电影截图。

做对比测试时可以这样说:

生成一张不用 skill 的版本,再生成一张使用 $eterna-image2image standard-eterna 的版本,并做左右对比。

当前状态

这是一个不断迭代的实验性 skill。它目前更像一个专业电影感图生图提示词与审美约束系统,而不是精确复刻某一台摄影机、某一个 LUT 或某一套官方胶片模拟。后续会继续补充更多测试样张、场景预设、构图规则和质量检查方法。

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