 1) —
The number of images to generate.


generator (torch.Generator, optional) —
One or a list of torch generator(s)
to make generation deterministic.


eta (float, optional, defaults to 0.0) —
The eta parameter which controls the scale of the variance (0 is DDIM and 1 is one type of DDPM).


num_inference_steps (int, optional, defaults to 50) —
The number of denoising steps. More denoising steps usually lead to a higher quality image at the
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