Text-to-Audio
Diffusers
Safetensors
MossSoundEffectPipeline
sound-effects
foley
flow-matching
diffusion-transformer
dac-vae
english
chinese
moss
mirror
Instructions to use AEmotionStudio/moss-soundeffect-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/moss-soundeffect-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/moss-soundeffect-models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 661 Bytes
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"_class_name": "DAC",
"type": "dac",
"latent_dim": 128,
"sample_rate": 48000,
"note": "Converted from vae_128d_48k.pth (audiotools package). Load with DAC(**kwargs) + safetensors state dict \u2014 see MAESTRO's vendored diffsynth/pipelines/wan_audio.py.",
"kwargs": {
"encoder_dim": 128,
"encoder_rates": [
2,
3,
4,
5,
8
],
"latent_dim": 128,
"decoder_dim": 2048,
"decoder_rates": [
8,
5,
4,
3,
2
],
"n_codebooks": 9,
"codebook_size": 1024,
"codebook_dim": 8,
"quantizer_dropout": false,
"sample_rate": 48000,
"continuous": true
}
}
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