multimodalart HF Staff commited on
Commit
ce63ff5
·
verified ·
1 Parent(s): 999f6b7

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -22,9 +22,9 @@ def split_image(input_image, num_splits=4):
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  # Split the image into four 256x256 sections
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  for i in range(num_splits):
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- left = i * 384
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- right = (i + 1) * 384
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- box = (left, 0, right, 384)
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  output_images.append(input_image.crop(box))
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  return output_images
@@ -38,7 +38,7 @@ MAX_SEED = np.iinfo(np.int32).max
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  @spaces.GPU
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  def infer(prompt, seed=1, randomize_seed=False, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
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- prompt_template = f"A side by side 4 frame image showing consecutive stills from a looped gif moving from left to right. The stills are of {prompt}"
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  if randomize_seed:
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  seed = random.randint(0, MAX_SEED)
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  # Split the image into four 256x256 sections
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  for i in range(num_splits):
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+ left = i * 288
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+ right = (i + 1) * 288
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+ box = (left, 0, right, 288)
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  output_images.append(input_image.crop(box))
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  return output_images
 
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  @spaces.GPU
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  def infer(prompt, seed=1, randomize_seed=False, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
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+ prompt_template = f"A side by side 4 frame image showing high quality consecutive stills from a looped gif animation moving from left to right. The stills are of {prompt}"
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  if randomize_seed:
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  seed = random.randint(0, MAX_SEED)
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