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AEmotionStudio/moss-soundeffect-models
moss-soundeffect-models is a text-to-audio model from AEmotionStudio. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
Inference-ready repack of OpenMOSS-Team/MOSS-SoundEffect-v2.0 (OpenMOSS, Fudan University), kept by AEmotionStudio so the MAESTRO DAW can fetch the checkpoint on demand. The model is not fine-tuned or otherwise altere…
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.safetensors8.4 GB · 100%
From the Hugging Face model README
Inference-ready repack of OpenMOSS-Team/MOSS-SoundEffect-v2.0 (OpenMOSS, Fudan University), kept by AEmotionStudio so the MAESTRO DAW can fetch the checkpoint on demand. The model is not fine-tuned or otherwise altered — this repo only repacks the upstream weights for loading:
transformer/diffusion_pytorch_model.safetensors — the 1.3B DiT, stored
in the inference dtype MAESTRO pins after GPU validation (upstream ships
fp32 and runs under bf16 autocast).vae/diffusion_pytorch_model.safetensors — the 48 kHz continuous DAC VAE,
converted from the pickled vae_128d_48k.pth (audiotools package) to
safetensors; the constructor kwargs live in vae/config.json.text_encoder/ + tokenizer/ — the Qwen3 text encoder shards and
tokenizer, verbatim from upstream.model_index.json, scheduler/, transformer/config.json — verbatim.| Component | Purpose |
|---|---|
transformer/ | 1.3B flow-matching Diffusion Transformer |
vae/ | Continuous DAC VAE decoder (latents → 48 kHz mono waveform) |
text_encoder/ + tokenizer/ | Qwen3 text encoder (EN + ZH prompts) |
scheduler/ | Flow-match scheduler config (shift 5.0) |
MOSS SoundEffect generates 48 kHz sound effects up to 30 s from English or Chinese text prompts — nature, urban, creature, human-action, and musical-element sounds.
moss_soundeffect_v2).Credit for the model belongs entirely to the OpenMOSS team at Fudan University; this mirror exists only for reliable on-demand delivery into MAESTRO.