lukasz-staniszewski / audioldm2-caa-mood

huggingface.co
Total runs: 22
24-hour runs: 0
7-day runs: 18
30-day runs: 19
Model's Last Updated: September 10 2026

Introduction of audioldm2-caa-mood

Model Details of audioldm2-caa-mood

CAA — mood (AudioLDM2)

Steering vectors for the mood concept on AudioLDM2, computed via contrastive activation addition (CAA).

Quickstart
from src.steering import SteerableAudioLDMModel, AudioLDMCAASteeringController

model = SteerableAudioLDMModel(device="cuda")
ctrl = AudioLDMCAASteeringController.from_pretrained("lukasz-staniszewski/audioldm2-caa-mood", alpha=1.0)

with model.steer(ctrl):
    out = model.generate(
        prompt="instrumental music",
        num_inference_steps=30, audio_length_in_s=10.0,
        guidance_scale=3.5, seed=0,
    )
Generation config
{
  "method": "standard_caa_audioldm",
  "model": "cvssp/audioldm2-large",
  "concept": "mood",
  "num_inference_steps": 100,
  "audio_length_in_s": 10.0,
  "guidance_scale": 4.5,
  "seed": 10,
  "device": "cuda",
  "dtype": "float16",
  "save_all_cfg_passes": true,
  "layers_preset": "all",
  "layers_to_steer": [
    ".unet.down_blocks.1.attentions.1.transformer_blocks.0.attn2",
    ".unet.down_blocks.1.attentions.1.transformer_blocks.1.attn2",
    ".unet.down_blocks.1.attentions.2.transformer_blocks.0.attn2",
    ".unet.down_blocks.1.attentions.2.transformer_blocks.1.attn2",
    ".unet.down_blocks.1.attentions.5.transformer_blocks.0.attn2",
    ".unet.down_blocks.1.attentions.5.transformer_blocks.1.attn2",
    ".unet.down_blocks.1.attentions.6.transformer_blocks.0.attn2",
    ".unet.down_blocks.1.attentions.6.transformer_blocks.1.attn2",
    ".unet.down_blocks.2.attentions.1.transformer_blocks.0.attn2",
    ".unet.down_blocks.2.attentions.1.transformer_blocks.1.attn2",
    ".unet.down_blocks.2.attentions.2.transformer_blocks.0.attn2",
    ".unet.down_blocks.2.attentions.2.transformer_blocks.1.attn2",
    ".unet.down_blocks.2.attentions.5.transformer_blocks.0.attn2",
    ".unet.down_blocks.2.attentions.5.transformer_blocks.1.attn2",
    ".unet.down_blocks.2.attentions.6.transformer_blocks.0.attn2",
    ".unet.down_blocks.2.attentions.6.transformer_blocks.1.attn2",
    ".unet.down_blocks.3.attentions.1.transformer_blocks.0.attn2",
    ".unet.down_blocks.3.attentions.1.transformer_blocks.1.attn2",
    ".unet.down_blocks.3.attentions.2.transformer_blocks.0.attn2",
    ".unet.down_blocks.3.attentions.2.transformer_blocks.1.attn2",
    ".unet.down_blocks.3.attentions.5.transformer_blocks.0.attn2",
    ".unet.down_blocks.3.attentions.5.transformer_blocks.1.attn2",
    ".unet.down_blocks.3.attentions.6.transformer_blocks.0.attn2",
    ".unet.down_blocks.3.attentions.6.transformer_blocks.1.attn2",
    ".unet.mid_block.attentions.1.transformer_blocks.0.attn2",
    ".unet.mid_block.attentions.1.transformer_blocks.1.attn2",
    ".unet.mid_block.attentions.2.transformer_blocks.0.attn2",
    ".unet.mid_block.attentions.2.transformer_blocks.1.attn2",
    ".unet.up_blocks.0.attentions.1.transformer_blocks.0.attn2",
    ".unet.up_blocks.0.attentions.1.transformer_blocks.1.attn2",
    ".unet.up_blocks.0.attentions.2.transformer_blocks.0.attn2",
    ".unet.up_blocks.0.attentions.2.transformer_blocks.1.attn2",
    ".unet.up_blocks.0.attentions.5.transformer_blocks.0.attn2",
    ".unet.up_blocks.0.attentions.5.transformer_blocks.1.attn2",
    ".unet.up_blocks.0.attentions.6.transformer_blocks.0.attn2",
    ".unet.up_blocks.0.attentions.6.transformer_blocks.1.attn2",
    ".unet.up_blocks.0.attentions.9.transformer_blocks.0.attn2",
    ".unet.up_blocks.0.attentions.9.transformer_blocks.1.attn2",
    ".unet.up_blocks.0.attentions.10.transformer_blocks.0.attn2",
    ".unet.up_blocks.0.attentions.10.transformer_blocks.1.attn2",
    ".unet.up_blocks.1.attentions.1.transformer_blocks.0.attn2",
    ".unet.up_blocks.1.attentions.1.transformer_blocks.1.attn2",
    ".unet.up_blocks.1.attentions.2.transformer_blocks.0.attn2",
    ".unet.up_blocks.1.attentions.2.transformer_blocks.1.attn2",
    ".unet.up_blocks.1.attentions.5.transformer_blocks.0.attn2",
    ".unet.up_blocks.1.attentions.5.transformer_blocks.1.attn2",
    ".unet.up_blocks.1.attentions.6.transformer_blocks.0.attn2",
    ".unet.up_blocks.1.attentions.6.transformer_blocks.1.attn2",
    ".unet.up_blocks.1.attentions.9.transformer_blocks.0.attn2",
    ".unet.up_blocks.1.attentions.9.transformer_blocks.1.attn2",
    ".unet.up_blocks.1.attentions.10.transformer_blocks.0.attn2",
    ".unet.up_blocks.1.attentions.10.transformer_blocks.1.attn2",
    ".unet.up_blocks.2.attentions.1.transformer_blocks.0.attn2",
    ".unet.up_blocks.2.attentions.1.transformer_blocks.1.attn2",
    ".unet.up_blocks.2.attentions.2.transformer_blocks.0.attn2",
    ".unet.up_blocks.2.attentions.2.transformer_blocks.1.attn2",
    ".unet.up_blocks.2.attentions.5.transformer_blocks.0.attn2",
    ".unet.up_blocks.2.attentions.5.transformer_blocks.1.attn2",
    ".unet.up_blocks.2.attentions.6.transformer_blocks.0.attn2",
    ".unet.up_blocks.2.attentions.6.transformer_blocks.1.attn2",
    ".unet.up_blocks.2.attentions.9.transformer_blocks.0.attn2",
    ".unet.up_blocks.2.attentions.9.transformer_blocks.1.attn2",
    ".unet.up_blocks.2.attentions.10.transformer_blocks.0.attn2",
    ".unet.up_blocks.2.attentions.10.transformer_blocks.1.attn2"
  ],
  "normalize_sv": true
}

Runs of lukasz-staniszewski audioldm2-caa-mood on huggingface.co

22
Total runs
0
24-hour runs
3
3-day runs
18
7-day runs
19
30-day runs

More Information About audioldm2-caa-mood huggingface.co Model

audioldm2-caa-mood huggingface.co

audioldm2-caa-mood huggingface.co is an AI model on huggingface.co that provides audioldm2-caa-mood's model effect (), which can be used instantly with this lukasz-staniszewski audioldm2-caa-mood model. huggingface.co supports a free trial of the audioldm2-caa-mood model, and also provides paid use of the audioldm2-caa-mood. Support call audioldm2-caa-mood model through api, including Node.js, Python, http.

lukasz-staniszewski audioldm2-caa-mood online free

audioldm2-caa-mood huggingface.co is an online trial and call api platform, which integrates audioldm2-caa-mood's modeling effects, including api services, and provides a free online trial of audioldm2-caa-mood, you can try audioldm2-caa-mood online for free by clicking the link below.

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https://huggingface.co/lukasz-staniszewski/audioldm2-caa-mood

audioldm2-caa-mood install

audioldm2-caa-mood is an open source model from GitHub that offers a free installation service, and any user can find audioldm2-caa-mood on GitHub to install. At the same time, huggingface.co provides the effect of audioldm2-caa-mood install, users can directly use audioldm2-caa-mood installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

audioldm2-caa-mood install url in huggingface.co:

https://huggingface.co/lukasz-staniszewski/audioldm2-caa-mood

Url of audioldm2-caa-mood

Provider of audioldm2-caa-mood huggingface.co

lukasz-staniszewski
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