Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -47,10 +47,6 @@ def main(_):
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use_lock=False,
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)
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checkerboard_r1 = np.concatenate([np.zeros((8, 8, 3)), np.ones((8, 8, 3)), np.zeros((8, 8, 3))], axis=1)
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checkerboard_r2 = np.concatenate([np.ones((8, 8, 3)), np.zeros((8, 8, 3)), np.ones((8, 8, 3))], axis=1)
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checkerboard = np.concatenate([checkerboard_r1, checkerboard_r2] * 16, axis=0).astype(np.float32)
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def generate_images(input_images, n_new_frames, n_candidates, temperature=1.0, top_p=0.9):
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assert len(input_images) > 0
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input_images = [
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@@ -62,14 +58,14 @@ def main(_):
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generated_images = []
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for candidate in output_images:
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for i
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generated_images.append(
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Image.fromarray(
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(
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)
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@@ -247,4 +243,3 @@ def main(_):
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if __name__ == "__main__":
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mlxu.run(main)
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use_lock=False,
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)
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def generate_images(input_images, n_new_frames, n_candidates, temperature=1.0, top_p=0.9):
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assert len(input_images) > 0
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input_images = [
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generated_images = []
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for candidate in output_images:
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concatenated_rows = []
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for i in range(len(candidate)):
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concatenated_row = np.concatenate([input_images[i]] + candidate, axis=1)
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concatenated_rows.append(concatenated_row)
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combined_image = np.concatenate(concatenated_rows, axis=0)
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generated_images.append(
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Image.fromarray(
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(combined_image * 255).astype(np.uint8)
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)
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)
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if __name__ == "__main__":
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mlxu.run(main)
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