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denoising-diffusion-implicit-models
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beresandras commited on
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ca173e0
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1 Parent(s): 5ddf66b

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -46,8 +46,8 @@ def generate_images(diffusion_steps, stochasticity, min_signal_rate, max_signal_
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  )
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  # denormalize
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- data_mean = tf.constant([[[[0.4705 0.3943 0.3033]]]])
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- data_std_dev = tf.constant([[[[0.2892 0.2364 0.2680]]]])
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  generated_images = data_mean + pred_images * data_std_dev
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  generated_images = tf.clip_by_value(generated_images, 0.0, 1.0)
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  )
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  # denormalize
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+ data_mean = tf.constant([[[[0.4705, 0.3943, 0.3033]]]])
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+ data_std_dev = tf.constant([[[[0.2892, 0.2364, 0.2680]]]])
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  generated_images = data_mean + pred_images * data_std_dev
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  generated_images = tf.clip_by_value(generated_images, 0.0, 1.0)
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