Finalize 2nd order schedulers #1503
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patrickvonplaten
commented
Dec 1, 2022
patrickvonplaten
commented
Dec 1, 2022
| self.init_noise_sigma = self.sigmas.max() | ||
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| timesteps = torch.from_numpy(timesteps) | ||
| timesteps = torch.cat([timesteps[:1], timesteps[1:].repeat_interleave(2), timesteps[-1:]]) |
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This was incorrect previously, but didn't change the output of the image. Can be removed so since it's an unnecessary extra step
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The documentation is not available anymore as the PR was closed or merged. |
patrickvonplaten
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tcapelle
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* up * up * finish * finish * up * up * finish
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* up * up * finish * finish * up * up * finish
yoonseokjin
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* up * up * finish * finish * up * up * finish
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Corrects Heun scheduler (previously one unnecessary step was done).
Also adds two additional 2nd order schedulers:
Ran all schedulers for:
Results match k-diffusion implementation.