| import torch | |
| class Config: | |
| def __init__(self): | |
| self.image_size: int = 512 # the generated image resolution | |
| self.sample_rate: int = 44100 # the sample rate of the audio | |
| self.guidance_scale: float = 1 # the guidance scale for the diffusion process | |
| self.mixed_precision: str = "fp16" # `no` for float32, `fp16` for automatic mixed precision | |
| self.hub_model_id: str = "alppo/amuse" # the name of the repository to create on the HF Hub | |
| self.hub_dataset_id: str = "alppo/music" # the name of the dataset to create on the HF Hub | |
| self.seed: int = 0 | |
| self.device = "cuda" if torch.cuda.is_available() else "cpu" | |
| self.generated_track_path = "new_track.wav" | |
| config = Config() |