Update README.md
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README.md
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@@ -69,5 +69,13 @@ DEFAULT_TRANSFORM = transforms.Compose(
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The images can be decoded using :
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```
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image = vae.decode(latent).sample
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```
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The images can be decoded using :
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```
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import datasets
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latent_dataset = datasets.load_dataset(
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"Forbu14/imagenet-1k-latent"
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)
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latent_dataset =
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latent = torch.tensor(latent_dataset["train"][0]["latents"])
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image = vae.decode(latent).sample
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```
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