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AEmotionStudio/moss-soundeffect-models

sourceHugging Faceapache-2.0updated 20d agoView on Hugging Face

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MOSS SoundEffect v2.0 — inference mirror for MAESTRO

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.

License

—Code: Apache-2.0 (OpenMOSS/MOSS-TTS, moss_soundeffect_v2).
—Weights (this repo): Apache-2.0 — inherited unchanged from upstream.

Credit for the model belongs entirely to the OpenMOSS team at Fudan University; this mirror exists only for reliable on-demand delivery into MAESTRO.