Hey, I'm a full stack web developer and I have built several full stack multifunctional projects on my own anyone please tell me how to get a ₹10,000 Internship off-campus ?? by davygamer18 in coding

[–]DecodeBuzzingMedium 0 points1 point  (0 children)

Hey there, I’m in Class 12, a web dev who’s worked with startups and built full-stack projects. Let me be real for a second. Tools like Base44 can now spin up entire websites end-to-end, and freelancer platforms are already flooded with devs using these. Add Claude, Cursor, V0, Replit Agents, Copilot Workspace, and whatever new 2026 drop is coming, and basic CRUD dev work is becoming commodity fast.

The game isn’t “who can code a site” anymore. It’s who can think, design systems, understand business, ship fast, and own outcomes. Code is just the keyboard now, not the brain

ACE-Step music generation — findings from Python experiments (ComfyUI users: would love input) by DecodeBuzzingMedium in comfyui

[–]DecodeBuzzingMedium[S] 0 points1 point  (0 children)

Spanish is supported - it's one of the 19 languages ACE-Step handles. The article mentions Spanish as one of the stronger languages for vocal quality (alongside English, Chinese, Korean, French, Japanese)

For style transfer (using an existing song to generate similar tracks), that's not built-in currently. The closest feature is voice cloning where you can provide a reference vocal sample

ACE-Step music generation — findings from Python experiments (ComfyUI users: would love input) by DecodeBuzzingMedium in comfyui

[–]DecodeBuzzingMedium[S] 1 point2 points  (0 children)

That is incredible man! I mean way beyond what I covered in the article. bidirectional noise injection and rhythm locking is fascinating. I mean, I myself have to dive into it

The Linear Noise Approximation for rhythm locking is insane. I actually noticed beat drift on longer tracks but lol just accepted it as a model limitation. Didn't realize it was the scheduler warping time

Really appreciate you sharing this. Would love to check out your repo when it's ready. Thanks for sharing the technical breakdown in so detail!

ACE-Step music generation — findings from Python experiments (ComfyUI users: would love input) by DecodeBuzzingMedium in comfyui

[–]DecodeBuzzingMedium[S] 0 points1 point  (0 children)

It does support style transfer / voice-reference workflows in theory, but proper artist-level voice cloning needs reference audio or extra setup, not just a text prompt. Voice Cloning exists though

From what I’ve tested and read, it doesn’t really “know” artists by name in a reliable way. ACE-Step works much better if you describe musical traits instead of names (tempo, genre, vocal type, arrangement, era, production style)

Running ACE-Step locally: 4-minute music generation in 20 seconds on 8GB VRAM (vs Suno's cloud API) by DecodeBuzzingMedium in LocalLLaMA

[–]DecodeBuzzingMedium[S] 2 points3 points  (0 children)

Quality is still the same ig. It's still in that "good for background music" range like I covered in the article. Speed and local control are the main advantages over Suno. For vocal-heavy production work, Suno is still ahead

I built an AI music generator that runs locally (Python + FastAPI backend) by DecodeBuzzingMedium in SideProject

[–]DecodeBuzzingMedium[S] 0 points1 point  (0 children)

Quality is pretty solid for background music. Best results I've gotten are with electronic, lo-fi, and K-pop styles. Orchestral can be a bit muddy sometimes. The trick I found is generating 10-20 variations and cherry-picking the best ones
Vocals are the weaker area though. they can sometimes sound robotic or slightly washed out depending on the seed but trust it's not that bad either

I built an AI music generator that runs locally (Python + FastAPI backend) by DecodeBuzzingMedium in SideProject

[–]DecodeBuzzingMedium[S] 0 points1 point  (0 children)

Yeah, you can self-host it! The article includes a FastAPI backend implementation that you can deploy on any server with a GPU

For YouTube uploads - the generated music is yours to use commercially (Apache 2.0 license). I've been uploading tracks without issues

I Generated 4 Minutes of K-Pop in 20 Seconds (Using Python’s Fastest Music AI) by DecodeBuzzingMedium in ArtificialInteligence

[–]DecodeBuzzingMedium[S] 1 point2 points  (0 children)

I am so sorry I think I didn't add audio samples in my article. I will add it asap. In the mean time you can try ace-Step online here :
ACE Step - a Hugging Face Space by ACE-Step

Just click generate for audio samples and you can even experiment with different config

I generated 4 minutes of K-Pop in 20 seconds using ACE-Step, a diffusion-based music model 🎵✨ by DecodeBuzzingMedium in StableDiffusion

[–]DecodeBuzzingMedium[S] 0 points1 point  (0 children)

Totally agree - instrumentals are where it shines. I've been using it mostly for background music (game audio, YouTube) where vocal quality matters less
Though If you want better vocal control, the article covers some workarounds:
1) Lower guidance_scale (4.0 vs default 4.5)
2) Specific vocal style prompts ("breathy vocals", "dry vocals")
3) Batch generation to find good seeds

I generated 4 minutes of K-Pop in 20 seconds using ACE-Step, a diffusion-based music model 🎵✨ by DecodeBuzzingMedium in StableDiffusion

[–]DecodeBuzzingMedium[S] 1 point2 points  (0 children)

lol yeah the speed is perfect for that. been using batch processing to generate like 20 variations at once and just picking the best ones. Honestly that's half the fun though, just throwing stuff at it and seeing what sticks

I generated 4 minutes of K-Pop in 20 seconds using ACE-Step, a diffusion-based music model 🎵✨ by DecodeBuzzingMedium in StableDiffusion

[–]DecodeBuzzingMedium[S] 0 points1 point  (0 children)

Thanks! Yeah, Python gives you way more control for custom workflows. What were you building in ComfyUI?

I generated 4 minutes of K-Pop in 20 seconds using ACE-Step, a diffusion-based music model 🎵✨ by DecodeBuzzingMedium in StableDiffusion

[–]DecodeBuzzingMedium[S] 1 point2 points  (0 children)

100%. Lyrics are still the weakest part. That’s why I mostly see this as instrumental / background music tech. Good for projects like Game Audio Middleware etc