- TL;DR: It’s not your fault — v7 changed how prompts and styles are interpreted. But there are ways to bring consistency back.
- What Changed: Why Your Prompts Behave Differently Now
- Fix #1: Use --sv 4 to Restore Older Style Reference Behavior
- Fix #2: Tune --sw (Style Weight) Carefully
- Fix #3: Adjust --exp to Control Artistic Chaos
- Fix #4: Trim or Rebalance Prompt Descriptors
- Fix #5: Use Multiple Reference Images for Better Character Consistency
- Bonus Tip: Midjourney Acknowledges the Inconsistency
- Summary: You Didn’t Lose Your Style — You Just Need to Reroute It
- 🔗 Sources & References
TL;DR: It’s not your fault — v7 changed how prompts and styles are interpreted. But there are ways to bring consistency back.
If your go-to prompts suddenly stopped producing the same artistic results in Midjourney, you’re not imagining things.
You’re likely experiencing one of the most common side effects of the v7 update: a shift in how style, character identity, and visual tone are interpreted.
The good news? While the system has changed, there are specific techniques — many confirmed by Midjourney’s own documentation — that can help you recover stylistic consistency in your generations.
What Changed: Why Your Prompts Behave Differently Now
Here’s what Midjourney v7 has altered under the hood:
1. A Shift Toward Photorealism by Default
The model now tends to interpret prompts with a bias toward realism, unless otherwise specified.
Stylized or “soft” illustration styles (like watercolor or anime) may be overwritten by v7’s new realism-first architecture.
2. Rewritten Prompt & Reference Interpretation Logic
Parameters like --sref (style reference) and --stylize now behave differently than before.
A prompt that used to preserve a specific aesthetic may now result in something more literal, or abstracted in unintended ways.
3. Amplified Randomness and Parameter Sensitivity
Values like --sw (style weight) and the new --exp (experimental stylization) now exert more influence, making slight changes in values lead to large visual shifts.
Result: Users are reporting “style collapse” — the same prompt yielding different characters, colors, or visual textures.
Fix #1: Use --sv 4 to Restore Older Style Reference Behavior
Midjourney’s official docs confirm that you can invoke legacy-style behavior using --sv 4.
📌 Example:
/imagine prompt "pastel fantasy girl" --sref https://yourimage.jpg --sv 4
This reverts how the system interprets your reference style to match previous model generations (v5-v6 behavior).
It’s the most direct way to reverse the v7 “personality shift.”
Fix #2: Tune --sw (Style Weight) Carefully
Style weight now plays a major role in how much your reference image affects the final result.
--sw 0: Prompt dominates--sw 1000: Style reference dominates- ✅ Recommended: Start around
--sw 150–300and adjust upward if needed
Overusing --sw may result in “stiff” or awkward outputs — especially if paired with strong lighting or cinematic modifiers.
Fix #3: Adjust --exp to Control Artistic Chaos
The new --exp parameter controls how much stylization freedom the model introduces.
--exp 0: Conservative, faithful to prompt--exp 100: Highly experimental and expressive- ⚖️ Sweet spot:
--exp 30–60for semi-consistent but still creative results
This is a critical parameter if you feel like your images vary too wildly even when you haven’t changed the prompt.
Fix #4: Trim or Rebalance Prompt Descriptors
Prompt vocabulary has more impact than before. Words like:
ultra-realisticdramatic lightingcinematicorepic
…can introduce strong visual biases that override both prompt and reference image intent.
💡 Solution: Simplify the phrasing and reduce redundant or overly strong descriptors.
Instead of:
/anime girl, ultra realistic, dramatic lighting, high detail
Try:
/anime girl, soft lighting, pastel colors, simplified background
Fix #5: Use Multiple Reference Images for Better Character Consistency
Many users report that a single face or character reference isn’t enough in v7.
The model tends to “abstract” more now, meaning you should feed it more context.
📌 Example:
--cw 10 --cref https://img1.jpg https://img2.jpg
Combining several images (different angles, expressions) helps the model form a more stable internal representation of your character or style.
Bonus Tip: Midjourney Acknowledges the Inconsistency
In their own v7 update announcement, the Midjourney team states:
“This update significantly improves hand and body coherence, but may cause prompts to behave differently than previous versions.”
So yes — even the developers admit that prompt behavior has changed and may require adjustments.
Parameters like --sv, --sw, and --exp are not just enhancements — they are critical tools for restoring lost consistency.
Summary: You Didn’t Lose Your Style — You Just Need to Reroute It
| Problem | Cause | Fix |
|---|---|---|
| Same prompt, different results | Model architecture shift | Use --sv 4 for old-style interpretation |
| Inconsistent characters | Reference logic changed | Use multiple --cref images + prompt clarity |
| Overly realistic rendering | Prompt keywords too strong | Simplify wording, avoid ultra-realistic |
| Random outputs | High --exp value or default randomness | Try --exp 30–50 to stabilize stylization |
🔑 The takeaway? Style consistency is still possible — it just requires more surgical control.
With the right parameters and prompt tuning, you can regain creative control over your visuals.
