mkthoma commited on
Commit
fa16e96
·
1 Parent(s): 78825e5

code update

Browse files
Files changed (1) hide show
  1. app.py +19 -19
app.py CHANGED
@@ -255,33 +255,33 @@ def image_generator(prompt = "dog", loss_function=None):
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  else:
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  loss_function = None
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- images_without_loss = []
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- images_with_loss = []
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-
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- seed_values = [8,16,50,80,128]
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- height = 512 # default height of Stable Diffusion
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- width = 512 # default width of Stable Diffusion
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- num_inference_steps = 1 # Number of denoising steps
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- guidance_scale = 7.5 # Scale for classifier-free guidance
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- num_styles = len(style_files)
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-
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- for i in range(num_styles):
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  this_generated_img_1 = generate_images(prompt,style_num = i,random_seed = seed_values[i],custom_loss_fn = None)
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  images_without_loss.append(this_generated_img_1)
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  if loss_function:
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  this_generated_img_2 = generate_images(prompt,style_num = i,random_seed = seed_values[i],custom_loss_fn = loss_function)
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  images_with_loss.append(this_generated_img_2)
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-
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- generated_sd_images = []
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- titles = ["Arcane Style", "Birb Style", "Dr Strange Style", "Midjourney Style", "Oil Style"]
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-
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- for i in range(len(titles)):
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  generated_sd_images.append((images_without_loss[i], titles[i]))
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  if images_with_loss != []:
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  generated_sd_images.append((images_with_loss[i], titles[i]))
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-
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-
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- return display_images_in_rows(generated_sd_images, titles)
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  # Create a wrapper function for show_misclassified_images()
 
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  else:
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  loss_function = None
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+ images_without_loss = []
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+ images_with_loss = []
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+
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+ seed_values = [8,16,50,80,128]
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+ height = 512 # default height of Stable Diffusion
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+ width = 512 # default width of Stable Diffusion
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+ num_inference_steps = 1 # Number of denoising steps
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+ guidance_scale = 7.5 # Scale for classifier-free guidance
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+ num_styles = len(style_files)
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+
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+ for i in range(num_styles):
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  this_generated_img_1 = generate_images(prompt,style_num = i,random_seed = seed_values[i],custom_loss_fn = None)
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  images_without_loss.append(this_generated_img_1)
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  if loss_function:
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  this_generated_img_2 = generate_images(prompt,style_num = i,random_seed = seed_values[i],custom_loss_fn = loss_function)
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  images_with_loss.append(this_generated_img_2)
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+
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+ generated_sd_images = []
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+ titles = ["Arcane Style", "Birb Style", "Dr Strange Style", "Midjourney Style", "Oil Style"]
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+
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+ for i in range(len(titles)):
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  generated_sd_images.append((images_without_loss[i], titles[i]))
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  if images_with_loss != []:
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  generated_sd_images.append((images_with_loss[i], titles[i]))
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+
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+
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+ return display_images_in_rows(generated_sd_images, titles)
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  # Create a wrapper function for show_misclassified_images()