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
Local Installation Video and Testing - Step by Step
#2
by fahdmirzac - opened
Hi,
Kudos on producing such a sublime model. I did a local installation and testing video :
https://youtu.be/k0dH26CUtFQ?si=_SudkRZ0Ae4j0c4r
Thanks and regards,
Fahd
I keep getting ' Unauthorized for url: https://huggingface.co/api/models/ACE-Step/ACE-Step-v1-3.5B/revision/main " even with my hugging face token set in environment variable.