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
Download tokenizer/tokenizer.json from AEmotionStudio/moss-soundeffect-models: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/AEmotionStudio/moss-soundeffect-models/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://AEmotionStudio/moss-soundeffect-models/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AEmotionStudio/moss-soundeffect-models/resolve/main/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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