nami0342 commited on
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6b523e6
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1 Parent(s): 51a2a2a

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  1. README.md +0 -2
  2. app.py +2 -4
README.md CHANGED
@@ -9,5 +9,3 @@ pinned: false
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  ---
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  # FastAPI-Deployment
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-
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- Simple Text Generation app using Cohere generate a model to demonstrate deploying FastAPI Applications on Huggingface Spaces via Docker and Github Actions
 
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  ---
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  # FastAPI-Deployment
 
 
app.py CHANGED
@@ -52,7 +52,7 @@ def pil_to_binary_mask(pil_image, threshold=0):
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  return output_mask
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- base_path = 'nami0342/GenAI_VTON_API'
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  example_path = os.path.join(os.path.dirname(__file__), 'example')
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  unet = UNet2DConditionModel.from_pretrained(
@@ -182,10 +182,8 @@ def start_tryon(humanTarget_img,garm_img,garment_des,is_automaskchecked,is_check
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  # # mask, mask_gray = get_mask_location('hd', "dresses", model_parse, keypoints)
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  # # mask = mask.resize((768,1024))
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  # else:
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- mask_temp_img = Image()
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  mask = pil_to_binary_mask(mask_temp_img.convert("RGB").resize((768, 1024)))
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- # mask = transforms.ToTensor()(mask)
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- # mask = mask.unsqueeze(0)
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  mask_gray = (1-transforms.ToTensor()(mask)) * tensor_transfrom(human_img)
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  mask_gray = to_pil_image((mask_gray+1.0)/2.0)
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  return output_mask
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+ base_path = 'yisol/IDM-VTON' # Reverting to original model path
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  example_path = os.path.join(os.path.dirname(__file__), 'example')
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  unet = UNet2DConditionModel.from_pretrained(
 
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  # # mask, mask_gray = get_mask_location('hd', "dresses", model_parse, keypoints)
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  # # mask = mask.resize((768,1024))
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  # else:
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+ mask_temp_img = Image.new('RGB', (768, 1024), color='white') # Creating a new blank image
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  mask = pil_to_binary_mask(mask_temp_img.convert("RGB").resize((768, 1024)))
 
 
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  mask_gray = (1-transforms.ToTensor()(mask)) * tensor_transfrom(human_img)
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  mask_gray = to_pil_image((mask_gray+1.0)/2.0)
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