legoandmars commited on
Commit
f129e08
·
1 Parent(s): 547f21c

better mask matching

Browse files
Files changed (1) hide show
  1. app.py +12 -7
app.py CHANGED
@@ -125,11 +125,11 @@ def inpaint(input_img, input_img_with_mask, prompt):
125
  input_img_256 = input_img.convert('RGB').resize((256, 256), resample=Image.BICUBIC)
126
  input_img_64 = input_img.convert('RGB').resize((64, 64), resample=Image.BICUBIC)
127
 
128
- input_img_with_mask_converted = input_img.convert('RGBA')
129
- input_img_with_mask_64 = input_img_with_mask_converted.getchannel( 'A' ) # Mode 'L'
130
 
131
- input_img_with_mask_64 = input_img_with_mask_64.resize((64, 64), resample=Image.BICUBIC)
132
- return input_img, input_img_with_mask_64
 
133
  # Source image we are inpainting
134
  source_image_256 = pil_to_numpy(input_img_256)
135
  source_image_64 = pil_to_numpy(input_img_64)
@@ -137,14 +137,19 @@ def inpaint(input_img, input_img_with_mask, prompt):
137
  # Since gradio doesn't supply which pixels were drawn, we need to find it ourselves!
138
  # Assuming that all black pixels are meant for inpainting.
139
  # input_img_with_mask_64 = input_img_with_mask.convert('L').resize((64, 64), resample=Image.BICUBIC)
140
- gray_scale_source_image = image_to_tensor(input_img_with_mask_64)
141
- source_mask_64 = (gray_scale_source_image!=0).float()
 
 
 
 
142
  source_mask_64_img = tensor_to_image(source_mask_64)
143
 
144
  # The mask should always be a boolean 64x64 mask, and then we
145
  # can upsample it for the second stage.
146
  source_mask_64 = source_mask_64.unsqueeze(0)
147
- source_mask_256 = F.interpolate(source_mask_64, (256, 256), mode='nearest')
 
148
 
149
 
150
  ##############################
 
125
  input_img_256 = input_img.convert('RGB').resize((256, 256), resample=Image.BICUBIC)
126
  input_img_64 = input_img.convert('RGB').resize((64, 64), resample=Image.BICUBIC)
127
 
128
+ input_img_with_mask_converted = input_img.convert('RGBA').input_img_with_mask_converted.getchannel( 'A' ) # Mode 'L'
 
129
 
130
+ input_img_with_mask_64 = input_img_with_mask_converted.resize((64, 64), resample=Image.BICUBIC)
131
+ input_img_with_mask_256 = input_img_with_mask_converted.resize((256, 256), resample=Image.BICUBIC)
132
+ # return input_img, input_img_with_mask_64
133
  # Source image we are inpainting
134
  source_image_256 = pil_to_numpy(input_img_256)
135
  source_image_64 = pil_to_numpy(input_img_64)
 
137
  # Since gradio doesn't supply which pixels were drawn, we need to find it ourselves!
138
  # Assuming that all black pixels are meant for inpainting.
139
  # input_img_with_mask_64 = input_img_with_mask.convert('L').resize((64, 64), resample=Image.BICUBIC)
140
+ gray_scale_source_image_64 = image_to_tensor(input_img_with_mask_64)
141
+ gray_scale_source_image_256 = image_to_tensor(input_img_with_mask_256)
142
+
143
+ source_mask_64 = (gray_scale_source_image_64!=0).float()
144
+ source_mask_256 = (gray_scale_source_image_256!=0).float()
145
+
146
  source_mask_64_img = tensor_to_image(source_mask_64)
147
 
148
  # The mask should always be a boolean 64x64 mask, and then we
149
  # can upsample it for the second stage.
150
  source_mask_64 = source_mask_64.unsqueeze(0)
151
+ source_mask_256 = source_mask_256.unsqueeze(0)
152
+ # source_mask_256 = F.interpolate(source_mask_64, (256, 256), mode='nearest')
153
 
154
 
155
  ##############################