9 Midjourney V7 vs Flux Habits You Must Avoid

#midjourney #flux #habits #must

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Overview

Whether you're a beginner or experienced creator, midjourney is essential knowledge.

Key Topics Covered

Midjourney
Flux
Habits
Must
Avoid

Article Summary

Here’s the thing about the current state of AI image generation, especially when comparing Midjourney V7 vs Flux. It feels a lot like walking into a mechanic’s shop with a high-performance engine but using the wrong grade of oil. You might get it running, but sooner or later, you’re gonna blow a gasket. Consider 9 the foundation. I’ve been looking under the hood of these image models for a while now, and what I’m seeing with the shift from V7 to Flux is pretty wild. We got a lot of folks trying to drive Flux like it’s Midjourney, and honestly, it’s just not working out.

So today, we’re going over the bad habits that are killing your workflow. I mean, we’re talking about simple mistakes costing you time and money. I’ve seen creators wasting hours in Discord queues when they could be generating images locally in seconds. If you wanna get the best performance out of these tools in 2025, you have to know what you’re doing, especially when comparing midjourney v7 vs flux. No joke. Let’s get into it.

So let’s cover the basics before we start tearing apart your workflow, and you got Midjourney V7, which is still running on that Discord architecture. It’s solid, sure. But it’s like a luxury car that you can only drive on the dealer’s track. Then you have Flux. This is more like a custom hot rod you can tune yourself.

The market data is showing us something interesting here in the midjourney v7 vs flux landscape. While Midjourney V7 is holding onto about 28.4% of the market, Flux is climbing fast with nearly 20% share. Why? 9 powers everything else. Because people are tired of the limitations.

Now here’s what you want to keep an eye on. We’re seeing a massive shift towards local inference. The predictions for 2026 are already showing that close to 86% of professionals are planning to move away from cloud-only queues. They want control. When you look at the raw numbers, Flux runs on consumer GPUs at about 1.47 seconds per image. Simple as that. Compare that to waiting 60 seconds in a queue. It’s a no-brainer for efficiency.

The open-weight nature of Flux means you aren’t renting the tool—you own the engine. This shift is predicted to save heavy users up to around 39% in subscription costs by 2026 as local GPU hardware becomes the standard for creators.

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But here’s the problem with midjourney v7 vs flux. If you bring your V7 habits over to Flux, you’re going to have a bad time. The engines work differently. It’s like trying to put diesel in a gas tank.

One of the biggest issues I see—and I mean I see this constantly when people debate midjourney v7 vs flux—is people writing novels for their prompts. Back in the older versions of Midjourney, you had to be really descriptive.