Instructions to use Blizaine/Maestro-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ACE-Step
How to use Blizaine/Maestro-Models 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
Maestro Models
Consolidated model weights hosted for Maestro, a local AI video, image, and music studio.
Files
ace_step_v1_5_xl_sft_transformer_bf16.safetensors
The ACE-Step v1.5 XL SFT diffusion transformer, consolidated from the original four fp32 shards into a single bf16 safetensors file (tensor names unchanged) for single-file loaders such as Maestro / Wan2GP.
- Source: ACE-Step/acestep-v15-xl-sft
- License: MIT (same as the source model)
- Conversion: fp32 to bf16 cast, shard merge only. No fine-tuning or other modification.
All credit for the model goes to the ACE-Step team.
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