Token导航 LogoToken导航

Agent Skill · 图像处理

midjourney-replicate-flux(中途复制通量)

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

midjourney-replicate-flux 是图像处理类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描已通过,按安装量在图像处理类的 1,562 个 Skill 里排第 856。

总安装 2,468周安装 106GitHub Stars 31下载 865核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:midjourney-replicate-flux(中途复制通量)
来源仓库:https://github.com/rawveg/skillsforge-marketplace
仓库路径:skills/midjourney-replicate-flux
安装命令:
npx skills add https://github.com/rawveg/skillsforge-marketplace --skill midjourney-replicate-flux
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rawveg/skillsforge-marketplace --skill midjourney-replicate-flux

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

用于图像生成与视觉素材处理的辅助支持。适合根据文本生成图片或调用图像模型工作流。通过 GitHub 安装,需确认输入图片与模型输出限制。涉及人物或品牌素材时应额外核对授权与合规边界。midjourney-replicate-flux 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/midjourney-replicate-flux

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rawveg/skillsforge-marketplace --skill midjour…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

midjourney-replicate-flux 怎么安装?

在终端执行 npx skills add https://github.com/rawveg/skillsforge-marketplace --skill midjourney-replic…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

midjourney-replicate-flux 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

midjourney-replicate-flux 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

midjourney-replicate-flux 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

midjourney-replicate-flux 用的人多吗?

公开数据是累计安装 2,468 次,近一周安装 106 次,下载 865 次,GitHub 31 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

midjourney-replicate-flux 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理图像处理类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
midjourney-replicate-flux

中途复制通量 · 本页

2,46831调用外部服务MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Midjourney-Style Prompt Generator for FLUX 1.1 Pro

Generate professional, Midjourney-quality image prompts optimized for the black-forest-labs/flux-1.1-pro model on Replicate.

Purpose

Transform basic user image requests into rich, detailed prompts that produce Midjourney-quality results using the FLUX 1.1 Pro model. This skill provides:

  • Midjourney aesthetic principles and visual characteristics
  • FLUX 1.1 Pro model optimization techniques
  • Prompt structure templates and patterns
  • Before/after transformation examples
  • Direct integration with the Replicate MCP server

When to Use This Skill

Use this skill when:

  • User requests image generation via FLUX or Replicate
  • User wants "Midjourney-style" or "cinematic" images
  • User provides basic image descriptions that need enhancement
  • User asks for prompt optimization or improvement
  • User requests professional, editorial, or artistic photography
  • User wants to generate high-quality AI images

Trigger phrases: "generate an image", "create a photo of", "Midjourney style", "cinematic image", "professional photography", "make me a picture of", "FLUX image generation"

How to Use This Skill

Step 1: Understand User Intent

Clarify what the user wants to create. Ask targeted questions if the request is too vague:

  • What is the main subject?
  • What mood or atmosphere do they want?
  • What style or genre (portrait, landscape, product, etc.)?
  • Any specific preferences (time of day, colors, composition)?

Keep questions focused and avoid overwhelming the user with too many at once.

Step 2: Select Appropriate Prompt Pattern

Based on the genre, consult references/midjourney-style-guide.md for the relevant prompt pattern:

  • Portrait Photography - People, characters, headshots
  • Landscape/Environment - Nature, cityscapes, locations
  • Product Photography - Objects, commercial shots
  • Architectural - Buildings, structures, interiors
  • Fashion Editorial - Models, clothing, styling
  • Conceptual/Artistic - Abstract, surreal, artistic concepts

Each pattern provides a structured template for building prompts in that genre.

Step 3: Build Layered Prompt

Construct the prompt following the 5-layer structure from references/midjourney-style-guide.md:

Layer 1: Main Subject & Core Composition (Required)

[Subject] [action/pose/position], [composition placement]

Layer 2: Visual Style & Aesthetic (Required)

[art style/movement], [mood descriptor], [color treatment]

Layer 3: Lighting & Environment (Highly Recommended)

[lighting type], [time of day], [weather/atmosphere]

Layer 4: Technical Details & Quality Enhancers (Recommended)

[camera/lens specs], [depth of field], [quality terms]

Layer 5: Artistic References & Influences (Optional)

[artist name], [art movement], [cultural reference]

Step 4: Apply FLUX Optimizations

Enhance the prompt for FLUX 1.1 Pro by consulting references/flux-model-optimization.md:

  1. Add explicit artistic treatment: FLUX is more literal than Midjourney, so specify "cinematic", "editorial", "artistic photography"
  2. Define color grading clearly: Don't rely on automatic enhancement; specify exact color treatment
  3. Request composition explicitly: State framing, perspective, and compositional techniques
  4. Include professional quality markers: "professional photography", "award-winning", "expert color grading"
  5. Use technical photography anchors: Camera, lens, aperture specifications ground the image in photographic reality

Step 5: Verify Quality

Check the enhanced prompt against the quality checklist from references/midjourney-style-guide.md:

  • Word count is 40-75 words
  • Main subject is clearly defined
  • Lighting is specified with direction and quality
  • Mood/atmosphere is conveyed
  • Technical photography details are present
  • Color treatment is mentioned
  • Composition guidance is included
  • Quality enhancers are present (2-3 minimum)
  • Prompt flows naturally when read aloud
  • No redundant or contradictory terms

Step 6: Generate Image via Replicate MCP Server

Use the installed Replicate MCP server to generate the image. Call the mcp__replicate__create_predictions tool with these parameters:

{
  "version": "black-forest-labs/flux-1.1-pro",
  "input": {
    "prompt": "[Your enhanced Midjourney-style prompt here]",
    "aspect_ratio": "16:9",
    "output_format": "png"
  }
}

Default configuration for Midjourney-style outputs:

  • aspect_ratio: "16:9" (widescreen, cinematic format)
  • output_format: "png" (highest quality, lossless)
  • safety_tolerance: 2 (default, balanced - can increase to 3-4 for artistic content if needed)

Alternative aspect ratios (from references/flux-model-optimization.md):

  • "1:1" - Square (social media, portraits)
  • "2:3" or "4:5" - Portrait orientation
  • "3:2" - Classic photo ratio
  • "21:9" - Ultra-widescreen (panoramic)

The MCP server will return a prediction object. Monitor the prediction status and provide the user with the output image URL when generation completes.

Step 7: Offer Variations (When Requested)

If the user requests multiple options or variations, provide 2-3 alternative prompts that emphasize different aspects:

  • Variation 1: Different lighting (golden hour vs blue hour)
  • Variation 2: Different composition (wide shot vs close-up)
  • Variation 3: Different mood (dramatic vs serene)

Each variation should maintain the core subject while exploring different artistic directions.

Reference Documentation

The skill includes three comprehensive reference files that should be consulted during prompt creation:

1. references/midjourney-style-guide.md

When to load: Always consult when building any Midjourney-style prompt

Contains:

  • Core Midjourney aesthetic principles
  • 5-layer prompt structure template
  • Midjourney-quality descriptive vocabulary
  • Lighting, composition, mood, color, and technical terms
  • Common prompt patterns for each genre
  • Artistic movement and style references
  • Quality control checklist
  • Common mistakes to avoid

Search patterns (use for quick access to specific sections):

  • "Portrait Photography pattern" - Get portrait template
  • "Landscape pattern" - Get landscape template
  • "Lighting Terms" - Get lighting vocabulary
  • "Color & Tone" - Get color treatment options
  • "Quality Enhancers" - Get quality modifiers

2. references/flux-model-optimization.md

When to load: Consult when optimizing prompts for FLUX or troubleshooting results

Contains:

  • FLUX 1.1 Pro specifications and parameters
  • Replicate MCP server usage instructions
  • FLUX vs Midjourney adaptation strategies
  • Model-specific optimization techniques
  • Aspect ratio and output format guide
  • Safety tolerance settings
  • Prompt engineering strategies for FLUX
  • Troubleshooting common issues

Search patterns:

  • "Aspect Ratios" - Get ratio options
  • "FLUX Strengths" - Understand what FLUX does best
  • "Adaptation Techniques" - Learn FLUX-specific adjustments
  • "Parameter Selection" - Choose optimal parameters
  • "Troubleshooting" - Fix common issues

3. references/prompt-examples.md

When to load: When learning prompt transformation or seeking inspiration

Contains:

  • 16 complete before/after transformation examples
  • Examples across all major genres (portrait, landscape, product, etc.)
  • Word count verification for each example
  • Detailed explanations of why each enhancement works
  • Transformation principles summary
  • Enhancement formula and process

Search patterns:

  • "Portrait examples" - See portrait transformations
  • "Landscape examples" - See landscape transformations
  • "Product Photography examples" - See product transformations
  • "Transformation Principles" - Understand the enhancement process

Practical Workflow

Example 1: Simple Request Enhancement

User: "Create an image of a woman in a garden"

Process:

  1. Identify genre: Portrait photography in outdoor setting
  2. Consult references/midjourney-style-guide.md for portrait pattern
  3. Build layered prompt:

- Subject: Woman in garden setting - Style: Editorial portrait photography - Lighting: Golden hour natural light - Technical: Canon R5 85mm f/1.4 - Quality: Highly detailed, professional

  1. Apply FLUX optimizations from references/flux-model-optimization.md:

- Add "cinematic composition" - Specify "warm color grading" - Include "shallow depth of field"

  1. Verify: 52 words ✓

Enhanced Prompt: "Woman in flowing dress standing among blooming roses, garden setting, editorial portrait photography, golden hour sunlight filtering through trees, warm and romantic atmosphere, shot on Canon R5 85mm f/1.4, shallow depth of field with soft bokeh background, warm color grading with rich earth tones, cinematic composition, highly detailed, professional photography"

  1. Generate via MCP server with aspect_ratio "16:9", output_format "png"

Example 2: Genre-Specific Request

User: "Generate a photo of a vintage car on a coastal road"

Process:

  1. Identify genre: Automotive photography with landscape elements
  2. Consult automotive pattern from references/prompt-examples.md
  3. Build prompt emphasizing:

- Specific car era (1960s convertible) - Evocative setting (coastal highway overlook) - Nostalgic mood with film grain

  1. Apply FLUX techniques:

- Specify chrome and paint details FLUX excels at - Request warm nostalgic color grading explicitly

  1. Verify quality checklist

Enhanced Prompt: "1960s vintage convertible parked on coastal highway overlook, sunset ocean view in background, automotive editorial photography, golden hour side lighting, warm nostalgic color grading with slight film grain, shot on Canon R5 50mm f/1.4, shallow depth of field isolating car, emphasize chrome details and period-correct paint, sense of freedom and nostalgia, highly detailed, professional automotive photography"

  1. Generate via MCP server

Example 3: Multiple Variations

User: "Create a cityscape image, give me a few options"

Process:

  1. Create three variations emphasizing different aspects
  2. Reference references/midjourney-style-guide.md for urban photography vocabulary

Variation 1 - Blue Hour: "Modern city skyline at blue hour twilight, glowing office building windows, cinematic urban photography, dramatic perspective from elevated viewpoint, shot on Sony A7R IV 24mm, deep focus, cool color grading with blue and purple tones, atmospheric haze, highly detailed, 8k resolution"

Variation 2 - Golden Hour: "Urban cityscape bathed in golden hour sunlight, warm light on building facades, cinematic architectural photography, wide angle establishing shot, shot on Canon R5 24-70mm, rich color saturation with warm orange tones, long shadows creating depth, highly detailed, professional photography"

Variation 3 - Night Scene: "City lights at night with light trails from traffic, vibrant urban photography, long exposure creating motion blur, shot on Sony A7R IV 35mm, dynamic composition, neon colors and warm street lights, atmospheric and energetic, highly detailed, 8k resolution"

  1. Generate all three via MCP server, present options to user

Important Notes

Do Not Create Custom Scripts

CRITICAL: The Replicate MCP server is already installed and provides all necessary API integration. Do NOT create Python scripts, Node.js code, or any other custom code for API calls. Always use the mcp__replicate__create_predictions tool directly.

Prompt Length Management

Always aim for 40-75 words:

  • Under 40 words: Risk losing Midjourney aesthetic richness
  • 40-60 words: Optimal for most prompts
  • 60-75 words: Complex scenes with multiple elements
  • Over 75 words: Diminishing returns, potential confusion

If a prompt exceeds 75 words, consolidate by removing redundant quality terms while maintaining core elements.

Quality Over Quantity

Better to have one excellent, well-crafted prompt than multiple mediocre ones. Take time to thoughtfully layer the elements.

Be Specific, Not Generic

Replace vague terms with specific descriptions:

  • ❌ "beautiful lighting" → ✅ "golden hour sunlight from behind creating rim light"
  • ❌ "nice colors" → ✅ "warm color grading with rich earth tones and orange highlights"
  • ❌ "good quality" → ✅ "shot on Canon R5 85mm f/1.4, professional photography"

Learn From Examples

The references/prompt-examples.md file contains 16 complete transformations. Study these to understand the enhancement process and internalize the patterns.

Artistic References

Use artistic references when appropriate, but ensure they're relevant:

  • Photography: Annie Leibovitz, Peter Lindbergh, Steve McCurry, Ansel Adams
  • Cinematography: Blade Runner 2049, The Grand Budapest Hotel, Her
  • Art Movements: Impressionism, Surrealism, Minimalism, Art Nouveau

Don't force references if they don't fit the request naturally.

FLUX-Specific Adaptations

Remember that FLUX 1.1 Pro differs from Midjourney:

  • More literal interpretation (less automatic artistic elevation)
  • Excels at photorealism and fine detail
  • Superior text rendering in images
  • More accurate colors (less stylized)
  • Needs explicit quality and style instructions

Always compensate by adding clear artistic direction in the prompt.

Success Criteria

A successful Midjourney-style prompt for FLUX 1.1 Pro should:

  1. ✅ Transform generic requests into rich, detailed descriptions
  2. ✅ Maintain 40-75 word length for optimal results
  3. ✅ Include all core elements: subject, style, lighting, technical specs, color, quality
  4. ✅ Read naturally and coherently without contradictions
  5. ✅ Leverage FLUX's strengths (photorealism, detail, complex compositions)
  6. ✅ Compensate for FLUX's differences from Midjourney (explicit artistic treatment)
  7. ✅ Generate images via Replicate MCP server with appropriate parameters
  8. ✅ Produce outputs matching Midjourney's distinctive aesthetic quality

When these criteria are met, the resulting images should exhibit:

  • Ultra-detailed rendering with sharp focus
  • Cinematic composition and dramatic lighting
  • Professional color grading with tonal depth
  • Editorial quality and artistic refinement
  • That distinctive "Midjourney look" of polished, magazine-worthy imagery

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

平台分布

Claude Code

31.28%
按下载量换算271

Gemini CLI

21.67%
按下载量换算187

Antigravity

19.18%
按下载量换算166

windsurf

12.34%
按下载量换算107

Codex

8.23%
按下载量换算71

trae

3.47%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

继续浏览同类 Skills