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| else: | ||
| z = posterior.mode() | ||
| dec = self.decode(z) | ||
| dec = self.decode(z).sample |
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Otherwise we return a tuple of DecoderOutput when return_dict=False.
| sample_size = ( | ||
| self.config.sample_size[0] | ||
| if isinstance(self.config.sample_size, (list, tuple)) | ||
| else self.config.sample_size | ||
| ) | ||
| self.tile_latent_min_size = int(sample_size / (2 ** (len(self.config.block_out_channels) - 1))) | ||
| self.tile_overlap_factor = 0.25 |
| output = [self._tiled_decode(x_slice) if self.use_tiling else self.decoder(x) for x_slice in x.split(1)] | ||
| output = [ | ||
| self._tiled_decode(x_slice) if self.use_tiling else self.decoder(x_slice) for x_slice in x.split(1) | ||
| ] |
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Should use x_slice and not x.
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Could maybe further refactor this to how the current implementations of Cog/Mochi are with _decode method. A bit easier to understand code flow that way
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Yeah sure feel free to club those in your PR.
tests/models/autoencoders/test_models_autoencoder_kl_allegro.py
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@DN6 a gentle ping. |
sayakpaul
changed the title
| temb, | ||
| zq, | ||
| conv_cache=conv_cache.get(conv_cache_key), | ||
| conv_cache.get(conv_cache_key), |
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Because the torch.utils.checkpoint.checkpoint() method doesn't have any conv_cache argument.
| if self.model_class.__name__ in [ | ||
| "UNetSpatioTemporalConditionModel", | ||
| "AutoencoderKLTemporalDecoder", | ||
| ]: | ||
| return |
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Because these are supported.
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@a-r-r-o-w @DN6 a gentle ping. |
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@a-r-r-o-w merging this to unblock you and will let you add any left over tests. Hopefully, that is okay. |
* add: autoencoderkl tests * autoencodertiny. * fix * asymmetric autoencoder. * more * integration tests for stable audio decoder. * consistency decoder vae tests * remove grad check from consistency decoder. * cog * bye test_models_vae.py * fix * fix * remove allegro * fixes * fixes * fixes --------- Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
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What does this PR do?
Internal thread: https://huggingface.slack.com/archives/C065E480NN9/p1730203711189419.
Tears apart
test_models_vae.pyto break the tests in accordance with the Autoencoder model classes we have undersrc/diffusers/models/autoencoders.Didn't include Allegro as it's undergoing some refactoring love from Aryan. Discussed internally.
Some comments inline.