PrakhAI commited on
Commit
f30b51a
·
1 Parent(s): 54a56f6

Update app.py

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Files changed (1) hide show
  1. app.py +1 -4
app.py CHANGED
@@ -37,10 +37,7 @@ 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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- if 'similarity' not in st.session_state:
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- st.session_state['similarity'] = 0.25
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- similarity = st.number_input(label="Similarity (for \"Generate Similar\"", min_value=0.01, max_value=1.0, value=st.session_state['similarity'])
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- st.session_state['similarity'] = 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))
 
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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))