Instructions to use ACE-Step/ACE-Step-v1-3.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ACE-Step/ACE-Step-v1-3.5B 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/ACE-Step-v1-3.5B", 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/ACE-Step-v1-3.5B 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": "ADaMoSHiFiGANV1", | |
| "_diffusers_version": "0.32.2", | |
| "depths": [ | |
| 3, | |
| 3, | |
| 9, | |
| 3 | |
| ], | |
| "dims": [ | |
| 128, | |
| 256, | |
| 384, | |
| 512 | |
| ], | |
| "drop_path_rate": 0.0, | |
| "f_max": 16000, | |
| "f_min": 40, | |
| "hop_length": 512, | |
| "input_channels": 128, | |
| "kernel_sizes": [ | |
| 7 | |
| ], | |
| "n_fft": 2048, | |
| "n_mels": 128, | |
| "num_mels": 512, | |
| "post_conv_kernel_size": 13, | |
| "pre_conv_kernel_size": 13, | |
| "resblock_dilation_sizes": [ | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ] | |
| ], | |
| "resblock_kernel_sizes": [ | |
| 3, | |
| 7, | |
| 11, | |
| 13 | |
| ], | |
| "sampling_rate": 44100, | |
| "upsample_initial_channel": 1024, | |
| "upsample_kernel_sizes": [ | |
| 8, | |
| 8, | |
| 4, | |
| 4, | |
| 4, | |
| 4, | |
| 4 | |
| ], | |
| "upsample_rates": [ | |
| 4, | |
| 4, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "use_template": false, | |
| "win_length": 2048 | |
| } | |