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app.py
CHANGED
@@ -13,6 +13,9 @@ from transformers import (
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from diffusers import DDPMScheduler,AutoencoderKL
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from typing import List
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import torch
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import os
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from transformers import AutoTokenizer
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@@ -249,6 +252,11 @@ def start_tryon(dict,garm_img,garment_des,is_checked,is_checked_crop,denoise_ste
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else:
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return images[0], mask_gray
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# return images[0], mask_gray
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garm_list = os.listdir(os.path.join(example_path,"cloth"))
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garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list]
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@@ -311,11 +319,8 @@ with image_blocks as demo:
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fetch_button.click(fn=fetch_products, inputs=prompt, outputs=[image_gallery, price_display, url_display])
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return gallery_images[index]
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return None
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image_gallery.select(fn=select_image, inputs=[gr.Slider(0, 9), image_gallery], outputs=garm_img)
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try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked,is_checked_crop, denoise_steps, seed], outputs=[image_out,masked_img], api_name='tryon')
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from diffusers import DDPMScheduler,AutoencoderKL
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from typing import List
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import requests
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from io import BytesIO
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import torch
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import os
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from transformers import AutoTokenizer
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else:
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return images[0], mask_gray
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# return images[0], mask_gray
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# Function to handle image selection from the gallery
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def select_image(image_url):
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response = requests.get(image_url)
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image = Image.open(BytesIO(response.content))
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return image
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garm_list = os.listdir(os.path.join(example_path,"cloth"))
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garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list]
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fetch_button.click(fn=fetch_products, inputs=prompt, outputs=[image_gallery, price_display, url_display])
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image_gallery.select(fn=select_image, inputs=image_gallery, outputs=garm_img)
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try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked,is_checked_crop, denoise_steps, seed], outputs=[image_out,masked_img], api_name='tryon')
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