Can I use this skill for photorealistic photography?

Absolutely. It includes a specialized photography reference guide covering camera bodies, lenses, apertures, and film stocks like Kodak Portra 400 to achieve professional-grade realism.

How does the Midjourney V7 Prompting skill improve my results?

It replaces vague descriptions with structured frameworks like the 7-Element method, ensuring Midjourney receives specific instructions on subject, medium, lighting, and composition.

Does this skill support character consistency?

Yes, it provides full implementation guidance for the --cref (Character Reference) parameter and --cw (Character Weight) to maintain visual consistency across multiple generations.

How does it handle Midjourney V7's new style features?

The skill is fully optimized for V7, including support for style reference codes (--sref), random style exploration, and weighted style influences for precise aesthetic control.

Midjourney V7 Prompt Architect

Name: Midjourney V7 Prompt Architect
Author: mike-coulbourn

bymike-coulbourn

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Design Tools

Crafts professional, high-fidelity Midjourney V7 prompts using systematic frameworks and advanced parameter optimization.

About

This skill transforms Claude into a master Midjourney engineer, utilizing the 7-Element and F.O.C.A.L. frameworks to produce precise, high-quality image generation instructions. It provides deep domain expertise in Midjourney V7's specific capabilities, including character consistency (--cref), style references (--sref), and photography-grade technical specifications. Whether you are generating photorealistic portraits, anime in Niji mode, or complex artistic illustrations, this skill automates the application of best practices to ensure consistent and professional visual results.

Key Features

Integrated photography reference for realistic lighting and camera settings
Systematic 7-Element Framework for comprehensive scene description
3 GitHub stars
Specialized templates for Niji mode, product shots, and artistic styles
Optimized token usage to remove 'junk words' and redundant descriptors
Advanced V7 parameter support including style and character references

Use Cases

Generating consistent character assets for digital storytelling using --cref
Rapidly iterating on artistic styles using randomized or weighted style references
Developing photorealistic marketing materials with specific lens and film stock simulations

About

Key Features

Integrated photography reference for realistic lighting and camera settings
Systematic 7-Element Framework for comprehensive scene description
3 GitHub stars
Specialized templates for Niji mode, product shots, and artistic styles
Optimized token usage to remove 'junk words' and redundant descriptors
Advanced V7 parameter support including style and character references

Use Cases

Generating consistent character assets for digital storytelling using --cref
Rapidly iterating on artistic styles using randomized or weighted style references
Developing photorealistic marketing materials with specific lens and film stock simulations