image->img
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@ -46,8 +46,8 @@ class DiffusersHolder():
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self.width_latent = self.pipe.unet.config.sample_size
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self.height_latent = self.pipe.unet.config.sample_size
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self.width_image = self.width_latent * self.pipe.vae_scale_factor
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self.height_image = self.height_latent * self.pipe.vae_scale_factor
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self.width_img = self.width_latent * self.pipe.vae_scale_factor
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self.height_img = self.height_latent * self.pipe.vae_scale_factor
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def init_types(self):
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assert hasattr(self.pipe, "__class__"), "No valid diffusers pipeline found."
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@ -119,8 +119,8 @@ class DiffusersHolder():
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latents = self.pipe.prepare_latents(
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1,
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self.pipe.unet.config.in_channels,
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self.height_image,
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self.width_image,
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self.height_img,
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self.width_img,
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torch.float16,
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self.pipe._execution_device,
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generator,
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