Text-to-Audio
Diffusers
Safetensors
ACE-Step
AceStepPipeline
audio
music
text-to-music
flow-matching
Instructions to use ACE-Step/acestep-v15-xl-turbo-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ACE-Step/acestep-v15-xl-turbo-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ACE-Step/acestep-v15-xl-turbo-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - ACE-Step
How to use ACE-Step/acestep-v15-xl-turbo-diffusers with ACE-Step:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download vae/config.json from ACE-Step/acestep-v15-xl-turbo-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 438 Bytes
-
https://huggingface.co/ACE-Step/acestep-v15-xl-turbo-diffusers/resolve/main/vae/config.json
- Command line
-
hf download hf://ACE-Step/acestep-v15-xl-turbo-diffusers/vae/config.json
-
curl -L -o config.json https://huggingface.co/ACE-Step/acestep-v15-xl-turbo-diffusers/resolve/main/vae/config.json
438 Bytes
| { | |
| "_class_name": "AutoencoderOobleck", | |
| "_diffusers_version": "0.38.0.dev0", | |
| "_name_or_path": "/vepfs-d-data/q-ace/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 | |
| } | |