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code update
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app.py
CHANGED
@@ -255,33 +255,33 @@ def image_generator(prompt = "dog", loss_function=None):
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loss_function = None
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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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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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# Create a wrapper function for show_misclassified_images()
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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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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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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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generated_sd_images = []
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titles = ["Arcane Style", "Birb Style", "Dr Strange Style", "Midjourney Style", "Oil Style"]
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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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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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