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
| { | |
| "_class_name": "AceStepPipeline", | |
| "_diffusers_version": "0.38.0.dev0", | |
| "condition_encoder": [ | |
| "ace_step", | |
| "AceStepConditionEncoder" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3Model" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "AceStepTransformer1DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderOobleck" | |
| ] | |
| } | |