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Update app.py
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app.py
CHANGED
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@@ -39,7 +39,8 @@ scheduler = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedu
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# To the GPU we go!
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vae = vae.to(torch_device)
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text_encoder = text_encoder.to(torch_device)
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unet = unet.to(torch_device)
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token_emb_layer = text_encoder.text_model.embeddings.token_embedding
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pos_emb_layer = text_encoder.text_model.embeddings.position_embedding
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position_ids = text_encoder.text_model.embeddings.position_ids[:, :77]
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@@ -61,7 +62,7 @@ generator = torch.manual_seed(32) # Seed generator to create the inital latent
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# Prep latents
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latents = torch.randn(
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(batch_size, unet.in_channels, height // 8, width // 8),
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generator=generator,
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)
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latents = latents.to(torch_device)
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# To the GPU we go!
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vae = vae.to(torch_device)
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text_encoder = text_encoder.to(torch_device)
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unet = unet.to(torch_device)
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token_emb_layer = text_encoder.text_model.embeddings.token_embedding
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pos_emb_layer = text_encoder.text_model.embeddings.position_embedding
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position_ids = text_encoder.text_model.embeddings.position_ids[:, :77]
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# Prep latents
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latents = torch.randn(
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(batch_size, unet.config.in_channels, height // 8, width // 8),
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generator=generator,
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)
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latents = latents.to(torch_device)
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