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Updated diffusion feature extractor
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@@ -2538,8 +2538,8 @@ class StableDiffusion:
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# Move to vae to device if on cpu
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if self.vae.device == 'cpu':
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self.vae.to(self.device)
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latents = latents.to(device, dtype=dtype)
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self.vae.to(self.device_torch)
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latents = latents.to(self.device_torch, dtype=self.torch_dtype)
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latents = (latents / self.vae.config['scaling_factor']) + self.vae.config['shift_factor']
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images = self.vae.decode(latents).sample
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images = images.to(device, dtype=dtype)
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