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
| [ | |
| { | |
| "text_encoder_name": "text_encoder_0", | |
| "condition_adapter_name": "condition_adapter_0", | |
| "condition_type": "clip-vit-large-patch14_text", | |
| "pretrained_model_name_or_path": "openai/clip-vit-large-patch14", | |
| "condition_max_length": 77, | |
| "condition_dim": 768, | |
| "cross_attention_dim": 768 | |
| } | |
| ] |