SIGMitch commited on
Commit
aca52b5
1 Parent(s): 89e0617

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +10 -9
app.py CHANGED
@@ -46,12 +46,12 @@ def resize_image_dimensions(
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  w_original, h_original = w, h
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  if w > h:
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- aspect_ratiow = w / h
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  w = IMAGE_SIZE
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  h = IMAGE_SIZE * aspect_ratiow
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  if h > w:
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- aspect_ratioh = h / w
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  w = IMAGE_SIZE * aspect_ratioh
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  h = IMAGE_SIZE
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@@ -79,7 +79,7 @@ def resize_image_dimensions(
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  # new_width = new_width - (new_width % 32)
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  # new_height = new_height - (new_height % 32)
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- return int(h), int(w)
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  @spaces.GPU(duration=80)
@@ -100,7 +100,7 @@ def process(
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  if not image:
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  gr.Info("Please upload an image.")
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- return None, None
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  width, height = resize_image_dimensions(original_resolution_wh=image.size)
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  resized_image = image.resize((width, height), Image.LANCZOS)
@@ -110,6 +110,7 @@ def process(
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  # if not mask:
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  # gr.Info("Please draw a mask on the image.")
 
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  pipe2.load_lora_weights("SIGMitch/KIT")
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  result = pipe2(
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  prompt=input_text,
@@ -125,7 +126,7 @@ def process(
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  )
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  print('INFERENCE DONE')
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  #return result.images[0].resize((image.size), Image.LANCZOS), result.images[1].resize((image.size), Image.LANCZOS)
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- return result.images[0], None #result.images[1]
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  #resized_mask = mask.resize((width, height), Image.LANCZOS)
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@@ -204,8 +205,8 @@ with gr.Blocks() as demo:
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  with gr.Column():
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  output_image_component = gr.Image(
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  type='pil', image_mode='RGB', label='Generated image', format="png")
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- output_image_component2 = gr.Image(
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- type='pil', image_mode='RGB', label='Generated image', format="png")
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@@ -221,8 +222,8 @@ with gr.Blocks() as demo:
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  lorasteps
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  ],
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  outputs=[
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- output_image_component,
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- output_image_component2
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  ]
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  )
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  w_original, h_original = w, h
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  if w > h:
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+ aspect_ratiow = h / w
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  w = IMAGE_SIZE
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  h = IMAGE_SIZE * aspect_ratiow
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  if h > w:
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+ aspect_ratioh = w / h
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  w = IMAGE_SIZE * aspect_ratioh
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  h = IMAGE_SIZE
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  # new_width = new_width - (new_width % 32)
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  # new_height = new_height - (new_height % 32)
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+ return int(w), int(h)
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  @spaces.GPU(duration=80)
 
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  if not image:
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  gr.Info("Please upload an image.")
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+ return None# , None
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  width, height = resize_image_dimensions(original_resolution_wh=image.size)
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  resized_image = image.resize((width, height), Image.LANCZOS)
 
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  # if not mask:
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  # gr.Info("Please draw a mask on the image.")
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+
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  pipe2.load_lora_weights("SIGMitch/KIT")
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  result = pipe2(
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  prompt=input_text,
 
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  )
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  print('INFERENCE DONE')
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  #return result.images[0].resize((image.size), Image.LANCZOS), result.images[1].resize((image.size), Image.LANCZOS)
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+ return result.images[0]# , None #result.images[1]
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  #resized_mask = mask.resize((width, height), Image.LANCZOS)
132
 
 
205
  with gr.Column():
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  output_image_component = gr.Image(
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  type='pil', image_mode='RGB', label='Generated image', format="png")
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+ # output_image_component2 = gr.Image(
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+ # type='pil', image_mode='RGB', label='Generated image', format="png")
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211
 
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222
  lorasteps
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  ],
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  outputs=[
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+ output_image_component# ,
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+ # output_image_component2
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  ]
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  )
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