Audio-to-Audio
Diffusers
ACE-Step
English
audio
music
vae
autoencoder
ace-step
decoder
oobleck
music-generation
Instructions to use megagrump/Ace-Step-1.5-ScragVAE-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use megagrump/Ace-Step-1.5-ScragVAE-ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("megagrump/Ace-Step-1.5-ScragVAE-ComfyUI", 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 megagrump/Ace-Step-1.5-ScragVAE-ComfyUI 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
ScragVAE — Improved VAE Decoder for ACE-Step 1.5
A fine-tuned AutoencoderOobleck decoder with an intent to improve audio fidelity for the ACE-Step 1.5 music generation pipeline. Drop-in compatible with all existing ACE-Step DiT checkpoints.
This is a conversion of the original ScragVAE that makes it usable with ComfyUI.
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