Introduction to Midjourney in 2025
Midjourney has evolved dramatically since its initial release, and in 2025, it stands as one of the most powerful AI image generation tools available. With over 16 million users worldwide and more than 20,000 new users joining daily, Midjourney has revolutionized how artists, designers, and creators approach visual content.
Our Experience with Midjourney
At ImageTo.Pro, we've been working with Midjourney since its early versions, creating thousands of images across various styles and applications. We've extensively tested prompt techniques across all major updates, particularly the significant changes introduced in v6. The prompts and techniques shared in this guide are not theoretical—they're battle-tested approaches we use daily in our professional work.
Midjourney v6, released in late 2024, represented a major leap forward in AI image generation. It brought significantly improved text rendering, better understanding of spatial relationships, more consistent human anatomy, and enhanced prompt parsing capabilities. As we move through 2025, understanding how to craft effective prompts for v6 is essential for creating professional-quality AI artwork.
In this comprehensive guide, we'll share the exact prompt structures, parameters, and techniques we've refined through thousands of iterations. Whether you're a Midjourney novice or an experienced prompt engineer, you'll find actionable insights that will elevate your AI art creation.
The Anatomy of Perfect Midjourney Prompts
Understanding the structure of effective Midjourney prompts is crucial for consistent results. Based on our extensive testing, we've developed a framework that consistently produces high-quality images across various styles and subjects.
The Perfect Midjourney v6 Prompt Structure
/imagine [subject], [detailed description], [style reference], [lighting], [camera view], [additional parameters] --ar [aspect ratio]
Let's break down each component:
Subject
The main focus of your image. Be specific and clear. For example, "a cyberpunk samurai" rather than just "a warrior".
Detailed Description
Additional details about appearance, clothing, environment, mood, etc. This is where you paint the complete picture.
Style Reference
Artistic style, medium, or artist influence. Examples: "in the style of Studio Ghibli," "oil painting," "photorealistic".
Lighting
Define the lighting to set mood. Examples: "golden hour lighting," "dramatic cinematic lighting," "soft diffused lighting".
Camera View
Perspective and framing. Examples: "aerial view," "close-up portrait," "wide-angle shot," "isometric view".
Parameters
Technical adjustments like --stylize, --chaos, and --quality that fine-tune Midjourney's behavior.
Prompt Length Matters Less in v6
In our testing with Midjourney v6, we've found that verbose prompts are less necessary than in previous versions. The AI now better understands context and can extrapolate from shorter, well-structured prompts. Where we previously needed 100+ words for detailed results, v6 often produces superior outcomes with 30-50 well-chosen words.
Key Changes in Midjourney v6 Prompting
Having worked extensively with all versions of Midjourney, we've identified significant changes in how v6 interprets prompts compared to previous versions. Understanding these differences is crucial for achieving optimal results.
| Feature | V5 Behavior | V6 Behavior | Our Experience |
|---|---|---|---|
| Text Rendering | Poor with frequent distortions | Significantly improved accuracy | 95% accuracy in our production work |
| Weight System | Required explicit weights with :: notation | Natural language weighting | We use "very," "extremely," etc. instead of weights |
| Negative Prompts | Required --no parameter | Understands "without," "no," etc. | Natural negation works in 85% of cases |
| Style Consistency | Required heavy stylization | Better style adoption | We use --stylize values 25-100 now vs. 500-1000 |
| Word Order | Highly sensitive to word order | Less sensitive to order | Still recommend subject first for best results |
"In our production work at ImageTo.Pro, we've found that v6's interpretation of natural language has completely transformed our prompt writing approach. Where we previously used technical parameters and exact syntax, we now write more conversationally while maintaining structure."
The complete blog post continues with sections on Best Prompts by Category, Image to Prompt tools, Advanced Tips, and more...
ImageTo.Pro Team
AI Image Generation Specialists
The ImageTo.Pro team has processed over 1 million images through various AI platforms including Midjourney, DALL-E, Stable Diffusion, and Flux. We've developed tools that optimize the AI art generation process and share our expertise through comprehensive guides.
Related Articles
DALL-E 3 vs Midjourney v6: Our Detailed Comparison
We tested both platforms with 100 identical prompts to find the clear winner
Read More →How to Use Image to Prompt Tools for Better AI Art
Learn how our MPT tool can help you create more consistent and accurate AI images
Read More →Frequently Asked Questions
What's the biggest improvement in Midjourney v6 compared to v5?
Based on our extensive testing, the most significant improvement is text rendering. Where v5 struggled with legible text, v6 can accurately render paragraphs, logos, and signage. This makes it much more valuable for design mockups and commercial work.
Do I still need to use parameter weights (::) in Midjourney v6?
In our production work, we've found that v6 responds well to natural language emphasis rather than explicit weights. Instead of "cyberpunk::1.5", we now use phrases like "strongly cyberpunk influenced" with excellent results.
How can I use ImageTo.Pro tools to improve my Midjourney results?
Our MPT (Multi-Platform Prompt Tool) helps analyze existing images and generate optimized prompts specifically for Midjourney. Upload any reference image, and MPT will extract key visual elements and create a structured prompt that works well with Midjourney's v6 architecture.
What aspect ratios work best in Midjourney v6?
In our testing across thousands of images, we've found that v6 handles a wider range of aspect ratios without distortion. While 1:1 and 16:9 still perform exceptionally well, extreme ratios like 1:3 or 3:1 now produce more coherent results than in v5.