found this workflow and had to share - Before you start: - Don't generate during peak times. Quality is too bad to even fix. (credits) Stem Splitting: - Option 1: Mvsep - Music & voice separation (ree) - Option 2: Kits AI - Vocal Remover (Paid) - Bonus tool: Adobe's 'Enhance Speech v2' (Free) Shimmer and other artifacts: - Use iZotope RX 11 to filter out shimmer: de-click (single-band), de-crackle (high), de-reverb (adaptive)

Keep in mind if you are getting a lot of artifacts and poor results. It could be that it's a high usage time. Some people will argue that this is a myth however I have found that making the music in non-peak hours seems to be better !! Suno peak usage times, which often result in slower generations or, as some users report, lower-quality outputs due to high server load, generally occur between 7:00 p.m. and 11:00 p.m. EST. For the best performance and faster generation times, it is advisable to use the service earlier in the day or late at night. - Peak Times: 7:00 p.m. – 11:00 p.m. EST (high traffic). - Off-Peak Times: Early morning or late night (better performance/less lag). - Impact: During peak hours, users sometimes experience more glitches and lower-quality results.

Cast your vote on how you currently write your song lyrics !!

Welcome to Pro AI Music Artist This is where I drop: - Suno prompt templates - Song structure + hook lessons - Cover art + visual workflow - Short lessons you can apply instantly To start: comment “TEMPLATE” and I’ll drop the exact prompt format.

📌 1. DistroKid Is Being Talked About as a Potential $2B Sale TargetThere’s industry chatter that DistroKid — one of the largest music distributors in the world — may be considering a major sale or strategic investment at a billion-plus valuation. That means real money and real expectations are moving into the music distribution layer. When distribution gets big money behind it, features and policies can change fast. 📌 2. AI-Generated Music Can Be Distributed — With ConditionsDistroKid (and other major DSP distributors) aren’t banning AI-generated music. What they are enforcing is clarity on rights and transparency around how tracks were created. If you own the rights and disclose the creation correctly, you’re good to distribute — even on major platforms like Spotify, Apple Music, TikTok, and more. But here’s the key: Uploading AI music isn’t enough. How you upload it matters. 📌 3. The Industry Is Shifting to “Ownership + Transparency First”Platforms aren’t afraid of AI — they’re afraid of unlicensed samples, ambiguous rights, and metadata chaos. That’s where most creators lose value, get takedowns, or fail to claim full revenue. 🔥 What This Means for AI Creators Right Now ✔ AI creation is LEGIT — and distributable.You no longer have to wonder if you can upload AI-assisted tracks. You can — as long as the rights are clear. ✔ Metadata is your weapon.AI credits, split percentages, author attributions, stems ownership — this isn’t optional anymore. DSPs are treating metadata like financial data. ✔ Rights management separates hobbyists from professionals.If you don’t prove ownership of every element in your AI track, you lose revenue — or worse, you get a takedown. ✔ Distribution strategy affects long-term income — not just plays.The difference between a track that earns $0.10 and a track that earns $100+ per year is how the rights, splits, and credits are structured behind the scenes. Members that upgrade can get personal advice from me on how to maximize your monetization.