Instructions to use TTS-AGI/ACE-Step-1.5-Backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TTS-AGI/ACE-Step-1.5-Backup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TTS-AGI/ACE-Step-1.5-Backup", 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 code/skills/acemusic/scripts/config.json from TTS-AGI/ACE-Step-1.5-Backup: direct link, hf CLI and curl.
- Browser
- Download file 223 Bytes
-
https://huggingface.co/TTS-AGI/ACE-Step-1.5-Backup/resolve/main/code/skills/acemusic/scripts/config.json
- Command line
-
hf download hf://TTS-AGI/ACE-Step-1.5-Backup/code/skills/acemusic/scripts/config.json
-
curl -L -o config.json https://huggingface.co/TTS-AGI/ACE-Step-1.5-Backup/resolve/main/code/skills/acemusic/scripts/config.json
223 Bytes
| { | |
| "api_url": "http://127.0.0.1:8001", | |
| "generation": { | |
| "thinking": true, | |
| "use_format": true, | |
| "use_cot_caption": true, | |
| "use_cot_language": true, | |
| "audio_format": "mp3", | |
| "vocal_language": "en" | |
| } | |
| } | |