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np.ndarray |
noise tensor of shape (batch_size, 1, height, width) |
Reverse step process: recover noisy image from generated image. |
get_default_steps |
< |
source |
> |
( |
) |
→ |
int |
Returns |
int |
number of steps |
Returns default number of steps recommended for inference |
get_input_dims |
< |
source |
> |
( |
) |
→ |
Tuple |
Returns |
Tuple |
(height, width) |
Returns dimension of input image |
slerp |
< |
source |
> |
( |
x0: Tensor |
x1: Tensor |
alpha: float |
) |
→ |
torch.Tensor |
Parameters |
x0 (torch.Tensor) — first tensor to interpolate between |
x1 (torch.Tensor) — seconds tensor to interpolate between |
alpha (float) — interpolation between 0 and 1 |
Returns |
torch.Tensor |
interpolated tensor |
Spherical Linear intERPolation |
Mel |
class diffusers.Mel |
< |
source |
> |
( |
x_res: int = 256 |
y_res: int = 256 |
sample_rate: int = 22050 |
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