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 tokenizer.json from ACE-Step/acestep-5Hz-lm-4B
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checkpoints/acestep-5Hz-lm-0.6B/tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
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checkpoints/acestep-5Hz-lm-1.7B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoints/acestep-5Hz-lm-1.7B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoints/acestep-5Hz-lm-4B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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version https://git-lfs.github.com/spec/v1
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oid sha256:35af56c3f5cb3ea2cc578aa28a8937770981d504f183ac5c8c38baf4bbd4af4d
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size 24321939
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