Text-to-Audio
Diffusers
Safetensors
English
StableDiffusionPipeline
audio
audio-generation
diffusion
one-step-diffusion
variational-score-distillation
auffusion
Instructions to use dinhhung1508/SwiftAudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dinhhung1508/SwiftAudio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dinhhung1508/SwiftAudio", 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
- Xet hash:
- 3b6ada6e408c8b8bb6cc7f9c9d96770081ab6022c4346412cde725d7fac5b4e1
- Size of remote file:
- 54.7 MB
- SHA256:
- 89b0d87f45fc7a64f9cb220e9f1e33a59e19a76490c04908ae50915590268f33
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