Text-to-Audio
Transformers
Diffusers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use spwotton/Ace-Step1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spwotton/Ace-Step1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="spwotton/Ace-Step1.5", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("spwotton/Ace-Step1.5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 425 Bytes
e353c5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"_class_name": "AutoencoderOobleck",
"_diffusers_version": "0.34.0",
"_name_or_path": "/root/data/repo/gongjunmin/ACE-Step-1.5/checkpoints/vae/",
"audio_channels": 2,
"channel_multiples": [
1,
2,
4,
8,
16
],
"decoder_channels": 128,
"decoder_input_channels": 64,
"downsampling_ratios": [
2,
4,
4,
6,
10
],
"encoder_hidden_size": 128,
"sampling_rate": 48000
}
|