Instructions to use AEmotionStudio/acestep-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/acestep-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/acestep-models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Mirror pytorch_lora_weights.safetensors from ACE-Step/ACE-Step-v1-chinese-rap-LoRA
Browse files
checkpoints/loras/chinese-rap/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:397db9b7dd49f46c3652ceb44f187d35d9dcfb21074cad3f210342ac6bdb666e
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size 523816352
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