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TTS-AGI
/
ACE-Step-1.5-Backup

Diffusers
Safetensors
Model card Files Files and versions
xet
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Instructions to use TTS-AGI/ACE-Step-1.5-Backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TTS-AGI/ACE-Step-1.5-Backup with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TTS-AGI/ACE-Step-1.5-Backup", 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
ACE-Step-1.5-Backup / code /acestep
6.27 MB
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  • 1 contributor
History: 1 commit
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mrfakename
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  • gradio_ui
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  • third_parts
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  • training
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  • __init__.py
    24 Bytes
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  • acestep_v15_pipeline.py
    14 kB
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  • api_server.py
    71.9 kB
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  • audio_utils.py
    10.7 kB
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  • constants.py
    4.15 kB
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  • constrained_logits_processor.py
    109 kB
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  • dataset_handler.py
    1.15 kB
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  • dit_alignment_score.py
    30.4 kB
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  • genres_vocab.txt
    4.8 MB
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  • handler.py
    143 kB
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  • inference.py
    48.5 kB
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  • llm_inference.py
    104 kB
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  • local_cache.py
    3.68 kB
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  • test_time_scaling.py
    16.3 kB
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