Text-to-Audio
Diffusers
Safetensors
ACE-Step
AceStepPipeline
audio
music
text-to-music
flow-matching
Instructions to use ACE-Step/acestep-v15-xl-base-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-base-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-base-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-base-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
- Xet hash:
- e8d754cd5cb69cf864a2d44a61b39bf61354ebac7fc70680bbfdb8ed49b1bc8b
- Size of remote file:
- 337 MB
- SHA256:
- da17edb604c40deaf09e9b24974e590d1ca83a374070e5d0884cfa4bed9a99b0
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