A fine-tuned version of Stable Audio Open focused on generating drumless, short musical loops, which seemlessly loop, drum-loops and one-shot sample-style clips, with strong conditioning on BPM, key, and mood metadata.
It is the base-version of the sample-generation model used in Kurt
Best at: creating sample-ready loops in Trap / Hip-Hop / Pop (especially melodic trap-style loops). Conditioning: BPM-aligned, key-aligned, mood-aligned to the extent the training labels and model generalization allow.
Model Details
Model type: Text-conditioned generative audio model (fine-tune of Stable Audio Open)
Base model:stabilityai/stable-audio-open-1.0
Domain: Music loops (Trap / Hip-Hop / Pop)
Primary use: Generating loopable musical ideas and samples
Languages: English prompt metadata (structured)
Prompt / Conditioning Format
Use the following structured format (recommended):
'Format: Solo |Sub-Genre: Dark Trap | Instruments: 808, Hi-Hats, Snare | Moods: Heavy, Driving | Styles: Punchy, Rhythmic | Tempo: Medium | BPM: 140 | Key: C# Minor'
Training
Training Setup
Hardware: 8× NVIDIA RTX 4090
Epochs: 20
Objective: Fine-tune Stable Audio Open to better follow structured metadata for loop generation in Trap / Hip-Hop / Pop.
Data
Dataset size: ~80,000 loop clips
Content: Trap, Hip-Hop, Pop loops (music-only or drums-only)
Strength: high consistency in short musical phrases / loop structure
Labeling / Metadata
Labeling and metadata generation were derived using:
Qwen Omni (for multi-modal/semantic labeling)
MuQ / MuLan-based audio-text embedding alignment (for music semantic tags)
These labels were used to create structured conditioning fields (genre, sub-genre, instruments, mood/style descriptors, BPM, key).
Intended Use
Primary Intended Use Cases
Producing loopable musical ideas for Trap/Hip-Hop/Pop
Generating sample packs / sample candidates
Rapid prototyping of melodic loops, chord beds, simple motifs, textures
Out-of-Scope / Not Recommended
Full-length song generation (beyond the clip duration supported by the base model/tools)
Vocals/lyrical content reliability
Limitations
BPM/Key compliance is not guaranteed: Even with conditioning, outputs can drift. Please ensure the prompted length aligns with the BPM and bars.
Genre bias: Tuned for Trap/Hip-Hop/Pop loops; other genres may sound less consistent.
Prompt sensitivity: Best results come from the provided structured format. Use a LLM to convert natural language prompts to this format.
Recommendations for Best Results
Keep prompts structured and specific (instruments + moods + BPM + key).
If BPM/key are critical:
Generate multiple candidates and select the closest match.
Use light post-processing for perfect grid/key lock.
Use “Format: Solo” everytime
Stability AI Community License
This model is a fine-tuned version of the Stable Audio Open 1.0 model by Stability AI. It is licensed under the Stability AI Community License, which allows:
Free use for research and non-commercial purposes.
Limited Commercial use for entities with annual revenues below USD $1M.
An enterprise license is required for commercial use by entities with annual revenues exceeding USD $1M.
For detailed terms, refer to the original LICENSE.
Additional Terms for Fine-Tuned Model
As per Stability AI, as a fine-tuner, no upfront payment is required under this license. However, it is crucial that if this model is used in any commercial application in which annual revenue exceeds USD $1M, you must contact Stability AI for enterprise licensing. Further details can be found here.
}
