---
library_name: audio-interv
tags:
  - ace-step
  - activation-steering
  - audio
  - caa
  - diffusion
  - interpretability
  - mood
  - music
  - steering
---

# Steering Vectors — `mood` (ACE-Step)

Steering vectors for the **mood** concept on ACE-Step, computed via contrastive activation addition (CAA).

## Quickstart

```python
from src.steering import SteerableACEModel
from steering.caa import CAAController

model = SteerableACEModel(device="cuda")
ctrl = CAAController.from_pretrained("lukasz-staniszewski/ace-step-caa-mood", alpha=20)

with model.steer(ctrl):
    audio = model.generate(prompt="instrumental music", seed=0)
```

## Generation config

```json
{
  "concept": "mood",
  "lyrics": "[inst]",
  "num_cfg_passes": 2,
  "save_all_cfg_passes": true,
  "audio_duration": 30.0,
  "num_inference_steps": 30,
  "seed": 10,
  "device": "cuda",
  "save_dir": "steering_vectors",
  "guidance_scale_text": 0.0,
  "guidance_scale_lyric": 0.0,
  "guidance_scale": 5.0,
  "guidance_interval": 1.0,
  "guidance_interval_decay": 0.0
}
```