Hey folks, I've been diving deep into Suno for generating some background music for a coding project, and I keep hitting the same snag. I'm aiming for a simple, clean, solo piano piece—think minimal, ambient, maybe a bit melancholic. But my generations keep veering off into dramatic orchestral swells, or worse, suddenly morphing into synth-pop or lo-fi hip-hop beats halfway through! 😅
I know the prompt is king with these tools. Here's what I've tried and what's finally giving me more consistent results:
**What didn't work:**
- Vague prompts like "a peaceful piano song"
- Prompts that mention emotion but not instrumentation, like "a sad, reflective tune"
- Using genre names at all (seems to trigger Suno's "fusion" mode)
**What *is* working for me:**
Being hyper-specific about constraints and using "negative" instructions.
```
A solo piano piece. Slow tempo, minimalist, consistent mood throughout. Use only the piano sound. No drums, no bass, no orchestration, no electronic elements, no genre shifts. Simple melody with arpeggiated chords in the left hand. Ambient and slightly melancholic.
```
The key parts seem to be:
1. **"Solo piano piece"** as the very first anchor.
2. **Explicitly listing forbidden elements** (drums, bass, orchestration, electronic).
3. **Directly commanding "no genre shifts."**
4. Describing the **physical playing style** ("arpeggiated chords in the left hand") which seems to steer it away from pre-produced patterns.
It's not perfect every time, but hit rate is way up. Anyone else found a magic phrase or a workflow tweak to lock in that pure, unadulterated piano sound? Would love to compare notes!
-- Weave
Prompt engineering is the new debugging
That's interesting. I've noticed the same thing with a different tool, trying to get consistent instrumental tracks for customer onboarding videos. Even a hint of a genre term sends it in wild directions.
You mentioned "negative" instructions working. Do you find you have to be as explicit as "no drums, no bass" every single time, or does a phrase like "strictly instrumental" ever cut it for keeping things simple? I worry about prompt length causing its own weird interpretations.
Yeah, "strictly instrumental" never works for me, it's too vague. I have to list the exclusions. It's like the model interprets that as "no vocals" and then feels free to add anything else. I've gotten decent results with something like "piano only, no other instruments, no drums, no percussion, no electronic sounds, no beat". Feels like overkill but it works.
Prompt length is a gamble. I think it's about keyword density. A long prompt full of specific, concrete instrument names seems to anchor it better than a short, broad one.
Automate everything.
You're right about prompt length being a concern. I've found it's not just length, but the *type* of language used. Negative instructions like "no drums" work because they are concrete exclusions, whereas "strictly instrumental" is an abstract concept the model seems to parse poorly.
My approach now is to use a combination of positive anchoring and negative exclusions. I'll start with a core description like "a solo piano melody, slow tempo, gentle dynamics," which sets the primary direction. Then I append a short, standardized list of exclusions: "no accompaniment, no percussion, no electronic elements." I treat this exclusion list as a necessary appendage to every prompt, like a required disclaimer. It adds words but creates a much more consistent output frame.
Have you tried creating a reusable "clean instrumental" template you paste into every prompt, rather than crafting new exclusions each time? That might mitigate the length issue by making the extra text predictable for you and the model.
Method over hype
That's a great idea about a reusable template. I just started doing something similar after my tenth track with surprise jazz drums 😅
I do worry a bit that copying the same exact exclusion list every time might make the model start to ignore it, like a kind of prompt fatigue. Do you rotate the phrasing in your template at all, or is it always the same keywords?
> treat this exclusion list as a necessary appendage to every prompt
This clicked for me. It's not extra fluff, it's part of the core prompt now. I'm going to set up a text snippet for "piano only" with my exclusions. Thanks!
Containers are magic, but I want to know how the magic works.
Prompt fatigue is a real thing, but it usually happens with vague terms. Concrete, non-negotiable exclusions like "no drums" are basically directives. They don't get ignored if they're treated as mandatory.
The real risk is your creative prompt wording bleeding into those exclusions and weakening them. If you put flowery adjectives next to your "no bass" clause, the model might get confused.
I keep my exclusion block separate and clinical. It's a boilerplate I copy-paste, and it always uses the same stark keywords. Works every time. Rotating the phrasing just introduces variance you don't want. You're not trying to be creative with the rules, you're trying to enforce them.
show me the bill
Yes, that separation of creative description from clinical exclusions is key. I've found it's similar to setting resource policies in the cloud - you define the broad creative intent first, then apply a strict, deny-all-and-except security group to it.
The template approach is efficient. I maintain a few base templates for different moods, each with its own fixed exclusion block. For example, my "ambient piano" template always ends with the same three-line exclusion statement, unchanged. This consistency trains my own workflow as much as the model's output. The model learns the pattern, and I stop second-guessing the prompt structure.
Less spend, more headroom.
Yeah, that negative instruction trick is the only thing that ever worked reliably for me with these audio models. It's like writing a SQL constraint on a column - you have to be explicit about what you DON'T want, because the default assumption is "add everything possible for engagement."
Your example prompt is good, but you might want to lock down the "mood throughout" part even more. I've had "consistent mood" still drift because the model interprets 'mood' as an emotional arc, not a static state. Try something like "sustained, unchanging melancholic atmosphere" and pair it with a technical term like "monophonic texture" or "sparse voicing" to nail the minimalism. The model often respects jargon.