PrakhAI commited on
Commit
5bf33bf
·
1 Parent(s): 46bf6be

Update app.py

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Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -37,7 +37,9 @@ if 'generate' in st.session_state:
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  latents = sample_latent(ROWS * COLUMNS, jax.random.PRNGKey(unique_id))
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  previous = st.session_state['generate']
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  if previous is not None:
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- similarity = st.number_input(label="Mutation (for \"Generate Similar\") - lower value generates more similar images", key="similarity", min_value=0.01, max_value=1.0, value=0.25)
 
 
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  latents = np.repeat([previous], repeats=16, axis=0) + similarity * latents
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  (g_out128, _, _, _, _, _) = generator.apply({'params': g_state['params'], 'batch_stats': g_state['batch_stats']}, latents, training=False)
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  img = np.array(to_img(g_out128))
 
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  latents = sample_latent(ROWS * COLUMNS, jax.random.PRNGKey(unique_id))
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  previous = st.session_state['generate']
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  if previous is not None:
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+ if "similarity" not in st.session_state:
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+ st.session_state["similarity"] = 0.5
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+ similarity = st.number_input(label="Mutation (for \"Generate Similar\") - lower value generates more similar images", key="similarity", min_value=0.01, max_value=1.0, value=st.session_state["similarity"])
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  latents = np.repeat([previous], repeats=16, axis=0) + similarity * latents
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  (g_out128, _, _, _, _, _) = generator.apply({'params': g_state['params'], 'batch_stats': g_state['batch_stats']}, latents, training=False)
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  img = np.array(to_img(g_out128))