Instructions to use FastVideo/stable-audio-open-1.0-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/stable-audio-open-1.0-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/stable-audio-open-1.0-Diffusers", 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
Commit History
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Add project_cond_tokens / project_global_cond (state-dict-derived)
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Rename num_heads -> num_attention_heads in conditioner/config.json (FastVideo arch field name)
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Rename num_heads -> num_attention_heads in transformer/config.json (FastVideo arch field name)
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Replace generated vae/ with official Diffusers-format weights (fixes load_state_dict)
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Add required _diffusers_version field
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Initial conversion from stabilityai/stable-audio-open-1.0 via scripts/checkpoint_conversion/stable_audio_to_diffusers.py
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initial commit
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