Hugging Face's logo

Datasets:
EntropyDrop
/
Sking

Tasks:
Text-to-Image
Image-to-Image
Modalities:
Image
3D
Formats:
imagefolder
Languages:
English
Size:
< 1K
Tags:
minecraft
3d
voxel
minecraft-skin
texture
dataset-generation
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
4
EntropyDrop commited on
Commit
d0e5423
·
1 Parent(s): ffce056

v95

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Files changed (50) hide show
  1. build_target_img.py +26 -28
  2. build_target_imgs.py +1 -1
  3. control_imgs/0f2c9a15bd13b738.png +0 -3
  4. control_imgs/12.png +0 -3
  5. control_imgs/188486.png +0 -3
  6. control_imgs/198224.png +0 -3
  7. control_imgs/2c35b77ee2cdfd42.png +0 -3
  8. control_imgs/386c002183750df9.png +0 -3
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  16. control_imgs/560261.png +0 -3
  17. control_imgs/64154.png +0 -3
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  20. control_imgs/667114.png +0 -3
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  48. control_imgs/8882001.png +0 -3
  49. control_imgs/9874eccccd0dc1c0.png +0 -3
  50. control_imgs/a5c3a615940c35cf.png +0 -3
build_target_img.py CHANGED
@@ -10,12 +10,8 @@ import mc_render
10
  import random
11
  from mc_voxel_texture_resolver import resolve_voxel_consistency
12
 
13
- SCALING_RATIO = 12
14
-
15
- IMAGE_WIDTH = 768
16
- IMAGE_HEIGHT = 768
17
-
18
- SCALING_RATIO = 12*IMAGE_HEIGHT/768
19
 
20
  SKIN_MASK = "skin-mask.png"
21
  SKIN_DECOR_MASK = "skin-decor-mask.png"
@@ -100,7 +96,8 @@ def create_training_image(skin_image):
100
 
101
 
102
  training_image = Image.new('RGBA', (IMAGE_WIDTH, IMAGE_HEIGHT), (*bg, 255))
103
- scaled_skin_image = skin_image.resize((int(32 * SCALING_RATIO), int(32 * SCALING_RATIO)),
 
104
  resample=Image.BOX)
105
  #scaled_first_layer = skin_image_first_layer.resize((int(32 * SCALING_RATIO), int(32 * SCALING_RATIO)),
106
  # resample=Image.BOX)
@@ -122,8 +119,8 @@ def create_training_image(skin_image):
122
  y_indices, x_indices = np.where(skin_arr[..., 3] == 0)
123
 
124
  for x, y in zip(x_indices, y_indices):
125
- cx = int(int(x * SCALING_RATIO / 2) + SCALING_RATIO // 4)
126
- cy = int(int(y * SCALING_RATIO / 2) + SCALING_RATIO // 4)
127
  # Apply 2x2 white dot
128
  tr_arr[cy-1:cy+1, cx-1:cx+1] = [255, 255, 255, 255]
129
 
@@ -156,33 +153,34 @@ def create_training_image(skin_image):
156
  'left_leg': (2, 6, 0),
157
  }
158
  for (ortho, s, look_at_y, core_display, decor_display, cam_front, offset,render_size, zoom, pos_args, walk) in [
159
- (False, skin_image,12, full_part, full_part, (0.3, 0.4, 0.5), (int(IMAGE_WIDTH/2), 0), (int(IMAGE_WIDTH/2),int(IMAGE_HEIGHT/2*1.2)), r_scale1, default_pos_args, True),
 
160
 
161
- (False, skin_image,12,full_part,full_part, (0.0, 0, 0.5),(0, int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), 0.35, pos_args2, False),
162
- (False, skin_image,12,full_part,full_part, (-0.0, -0.0, -0.5),(0, int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), 0.35, pos_args2, False),
163
 
164
- (False,skin_image_first_layer,12, full_part, full_part, (0.3, 0.4, 0.5), (int(IMAGE_WIDTH/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
165
- (False,skin_image_first_layer,12, full_part, full_part, (-0.5, -0.4, -0.5), (int(IMAGE_WIDTH/5), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
166
 
167
  #left
168
- (False,skin_image,12, full_part, full_part, (0.3, 0.4, 0.5), (int(IMAGE_WIDTH*2/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
169
- (False,skin_image,12, full_part, full_part, (-0.5, -0.4, -0.5), (int(IMAGE_WIDTH*2/5), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
170
 
171
  # right
172
- (False,skin_image, 12,full_part, full_part, (0.3, -0.4, 0.5),(int(IMAGE_WIDTH*3/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
173
- (False,skin_image, 12,full_part, full_part, (-0.5, 0.4, -0.5),(int(IMAGE_WIDTH*3/5), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
174
 
175
  # head
176
- (False,skin_image,28, ['head'], ['head'], (-0.3, -0.4, 0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
177
- (False,skin_image,28, ['head'], ['head'], (0.3, -0.4, 0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2 + IMAGE_HEIGHT/8)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
178
- (False,skin_image,28, ['head'], ['head'], (-0.5, -0.4, -0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2+ IMAGE_HEIGHT*2/8)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
179
- (False,skin_image,28, ['head'], ['head'], (0.5, -0.4, -0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2+ IMAGE_HEIGHT*3/8)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
180
 
181
- (False,skin_image,12, ['body'], ['body'], (0.3, 0.4, 0.5), (int(IMAGE_WIDTH*3/4*1.05), int(IMAGE_HEIGHT*1/5)), (int(IMAGE_WIDTH/4),int(IMAGE_HEIGHT/2)), r_scale4,default_pos_args, False),
182
- (False,skin_image,12, ['body'], ['body'], (-0.3, 0.4, 0.5), (int(IMAGE_WIDTH*3/4*1.05), int(-IMAGE_HEIGHT*1/8)), (int(IMAGE_WIDTH/4),int(IMAGE_HEIGHT/2)), r_scale4,default_pos_args, False),
183
 
184
- (False,skin_image,22, [], ['head'], (0.3, 0.3, 0), (int(IMAGE_WIDTH*1/2*0.95), int(IMAGE_HEIGHT*1/60)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/4.5)), r_scale4,default_pos_args, False),
185
- (False,skin_image,22, [], ['head'], (-0.3, 0.3, 0), (int(IMAGE_WIDTH*1/2*0.95), int(IMAGE_HEIGHT*20/60)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/4.5)), r_scale4,default_pos_args, False),
186
 
187
  ]:
188
  # Optimized: Get image directly from memory instead of UUID-named temp files
@@ -191,7 +189,7 @@ def create_training_image(skin_image):
191
  output_size=render_size,
192
  cam_front=cam_front,
193
  look_at_y=look_at_y,
194
- use_voxels=False,
195
  ortho=ortho,
196
  core_display=core_display,
197
  decor_display=decor_display,
@@ -209,7 +207,7 @@ def create_training_image(skin_image):
209
  'rot_arm_left': (0,0,0),
210
  'rot_leg_right': (0,0,0),
211
  'rot_leg_left': (0,0,0),
212
- },save_path=None, transparent_background=True, zoom=zoom, light=False)
213
 
214
  if img_np is not None:
215
  x = Image.fromarray(img_np)
 
10
  import random
11
  from mc_voxel_texture_resolver import resolve_voxel_consistency
12
 
13
+ IMAGE_WIDTH = 512
14
+ IMAGE_HEIGHT = 1024
 
 
 
 
15
 
16
  SKIN_MASK = "skin-mask.png"
17
  SKIN_DECOR_MASK = "skin-decor-mask.png"
 
96
 
97
 
98
  training_image = Image.new('RGBA', (IMAGE_WIDTH, IMAGE_HEIGHT), (*bg, 255))
99
+ SCALING_RATIO = IMAGE_WIDTH/64
100
+ scaled_skin_image = skin_image.resize((int(64 * SCALING_RATIO), int(64 * SCALING_RATIO)),
101
  resample=Image.BOX)
102
  #scaled_first_layer = skin_image_first_layer.resize((int(32 * SCALING_RATIO), int(32 * SCALING_RATIO)),
103
  # resample=Image.BOX)
 
119
  y_indices, x_indices = np.where(skin_arr[..., 3] == 0)
120
 
121
  for x, y in zip(x_indices, y_indices):
122
+ cx = int(x * SCALING_RATIO ) + int(SCALING_RATIO/2)
123
+ cy = int(y * SCALING_RATIO ) + int(SCALING_RATIO/2)
124
  # Apply 2x2 white dot
125
  tr_arr[cy-1:cy+1, cx-1:cx+1] = [255, 255, 255, 255]
126
 
 
153
  'left_leg': (2, 6, 0),
154
  }
155
  for (ortho, s, look_at_y, core_display, decor_display, cam_front, offset,render_size, zoom, pos_args, walk) in [
156
+ (False, skin_image,12, full_part, full_part, (0.3, 0.4, 0.5), (0, int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/2),int(IMAGE_HEIGHT/4*1.2)), r_scale1, default_pos_args, True),
157
+ (False, skin_image,12, full_part, full_part, (-0.3, 0.4, -0.5), (int(IMAGE_WIDTH / 2), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/2),int(IMAGE_HEIGHT/4*1.2)), r_scale1, default_pos_args, True),
158
 
159
+ (False, skin_image,18,full_part,full_part, (0.0, 0, 0.5),(0, int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/2),int(IMAGE_HEIGHT/4)), 0.28, pos_args2, False),
160
+ (False, skin_image,18,full_part,full_part, (-0.0, -0.0, -0.5),(int(IMAGE_WIDTH/2), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/2),int(IMAGE_HEIGHT/4)), 0.28, pos_args2, False),
161
 
162
+ #(False,skin_image_first_layer,12, full_part, full_part, (0.3, 0.4, 0.5), (int(IMAGE_WIDTH/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
163
+ #(False,skin_image_first_layer,12, full_part, full_part, (-0.5, -0.4, -0.5), (int(IMAGE_WIDTH/5), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
164
 
165
  #left
166
+ #(False,skin_image,12, full_part, full_part, (0.3, 0.4, 0.5), (int(IMAGE_WIDTH*2/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
167
+ #(False,skin_image,12, full_part, full_part, (-0.5, -0.4, -0.5), (int(IMAGE_WIDTH*2/5), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
168
 
169
  # right
170
+ #(False,skin_image, 12,full_part, full_part, (0.3, -0.4, 0.5),(int(IMAGE_WIDTH*3/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
171
+ #(False,skin_image, 12,full_part, full_part, (-0.5, 0.4, -0.5),(int(IMAGE_WIDTH*3/5), int(IMAGE_HEIGHT*3/4)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/3)), r_scale2,default_pos_args, False),
172
 
173
  # head
174
+ #(False,skin_image,28, ['head'], ['head'], (-0.3, -0.4, 0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
175
+ #(False,skin_image,28, ['head'], ['head'], (0.3, -0.4, 0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2 + IMAGE_HEIGHT/8)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
176
+ #(False,skin_image,28, ['head'], ['head'], (-0.5, -0.4, -0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2+ IMAGE_HEIGHT*2/8)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
177
+ #(False,skin_image,28, ['head'], ['head'], (0.5, -0.4, -0.5),(int(IMAGE_WIDTH*4/5), int(IMAGE_HEIGHT/2+ IMAGE_HEIGHT*3/8)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/8)), r_scale3,default_pos_args, False),
178
 
179
+ #(False,skin_image,12, ['body'], ['body'], (0.3, 0.4, 0.5), (int(IMAGE_WIDTH*3/4*1.05), int(IMAGE_HEIGHT*1/5)), (int(IMAGE_WIDTH/4),int(IMAGE_HEIGHT/2)), r_scale4,default_pos_args, False),
180
+ #(False,skin_image,12, ['body'], ['body'], (-0.3, 0.4, 0.5), (int(IMAGE_WIDTH*3/4*1.05), int(-IMAGE_HEIGHT*1/8)), (int(IMAGE_WIDTH/4),int(IMAGE_HEIGHT/2)), r_scale4,default_pos_args, False),
181
 
182
+ #(False,skin_image,22, [], ['head'], (0.3, 0.3, 0), (int(IMAGE_WIDTH*1/2*0.95), int(IMAGE_HEIGHT*1/60)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/4.5)), r_scale4,default_pos_args, False),
183
+ #(False,skin_image,22, [], ['head'], (-0.3, 0.3, 0), (int(IMAGE_WIDTH*1/2*0.95), int(IMAGE_HEIGHT*20/60)), (int(IMAGE_WIDTH/5),int(IMAGE_HEIGHT/4.5)), r_scale4,default_pos_args, False),
184
 
185
  ]:
186
  # Optimized: Get image directly from memory instead of UUID-named temp files
 
189
  output_size=render_size,
190
  cam_front=cam_front,
191
  look_at_y=look_at_y,
192
+ use_voxels=True,
193
  ortho=ortho,
194
  core_display=core_display,
195
  decor_display=decor_display,
 
207
  'rot_arm_left': (0,0,0),
208
  'rot_leg_right': (0,0,0),
209
  'rot_leg_left': (0,0,0),
210
+ },save_path=None, transparent_background=True, zoom=zoom, light=True)
211
 
212
  if img_np is not None:
213
  x = Image.fromarray(img_np)
build_target_imgs.py CHANGED
@@ -4,7 +4,7 @@ import sys
4
  import subprocess
5
  from concurrent.futures import ThreadPoolExecutor
6
 
7
- output_dir = 'target_imgs_v93'
8
 
9
  def process_skin(skin_id):
10
  input_path = f'skins/{skin_id}.png'
 
4
  import subprocess
5
  from concurrent.futures import ThreadPoolExecutor
6
 
7
+ output_dir = 'target_imgs_v95'
8
 
9
  def process_skin(skin_id):
10
  input_path = f'skins/{skin_id}.png'
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  • Size of remote file: 1.24 MB
control_imgs/8880007.png DELETED

Git LFS Details

  • SHA256: 644dd1397e3dac906653f6d291729171bdcdfbe4c917af627960c595d9901620
  • Pointer size: 132 Bytes
  • Size of remote file: 1.91 MB
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Git LFS Details

  • SHA256: 62fa8f95420a881b47d657be3e0dda68b8e161a37444d27ac2e5b6e05227a25d
  • Pointer size: 132 Bytes
  • Size of remote file: 1.18 MB
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Git LFS Details

  • SHA256: d89e90589500db8b3909e17938cbf5243dba5d56a12774e071498aaf42dfa26e
  • Pointer size: 132 Bytes
  • Size of remote file: 1.04 MB
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Git LFS Details

  • SHA256: 3d453727b26afd1f0065b2bbfa087928c4f48ef1224f365873b3e3fce96695dd
  • Pointer size: 132 Bytes
  • Size of remote file: 1.04 MB
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Git LFS Details

  • SHA256: c7fa51d973536d193443f6cd61e954cd08419417004dea664fd5c11ff5c36be1
  • Pointer size: 132 Bytes
  • Size of remote file: 1 MB
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Git LFS Details

  • SHA256: e267e638a53f5fe024e1218ad9215db181c3d0c4730ba9a21c9b4795f5c6e2da
  • Pointer size: 132 Bytes
  • Size of remote file: 1.13 MB
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Git LFS Details

  • SHA256: a9d4a6fe8543135553abf38157db00b7587260738728396842533db25737868b
  • Pointer size: 132 Bytes
  • Size of remote file: 1.52 MB
control_imgs/8880106.png DELETED

Git LFS Details

  • SHA256: 4065caec38facba5e4f7040820c5763d3b293db411e85f177f8dab61681b0e6e
  • Pointer size: 132 Bytes
  • Size of remote file: 1.32 MB
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Git LFS Details

  • SHA256: 005c02a4b47a70d16bfcb02d8d1a8530457c7e1962065c6f51c4b3742d7a7918
  • Pointer size: 132 Bytes
  • Size of remote file: 1.69 MB
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Git LFS Details

  • SHA256: e2d199e4c49898b5b4c7600e759da53b060f7b9680636b94f0f8dd7838272235
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  • Size of remote file: 1.35 MB
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Git LFS Details

  • SHA256: d66f4d07391e31d009111b21dc6202be83172f7ceb871272417cade6f73073fd
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  • Size of remote file: 1.5 MB
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Git LFS Details

  • SHA256: c4d2cb6ac9da4e685f748a51ae8b0675fc7240ab0d19fbaf1974474c243f0a4e
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  • Size of remote file: 1.05 MB
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Git LFS Details

  • SHA256: ed07d709a73967071cbc4d5b961890328ef4ca6016e2be6753237e19a2aad001
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Git LFS Details

  • SHA256: 2af7d9c4165eac7973bb0e4ce8c38692ed8b0ae3a10ab00cc90db8d92e313500
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  • Size of remote file: 1.13 MB
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Git LFS Details

  • SHA256: 918ea3187bdd3a7f9b4c79c132cc35c6b3119b685c3cde4c260e749a53c14631
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Git LFS Details

  • SHA256: 641cad17c15fe1c2e11ad4785e95055203fe737da2d29e74b90e896ce5430cbd
  • Pointer size: 132 Bytes
  • Size of remote file: 1.12 MB
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Git LFS Details

  • SHA256: fb2240b5b287edb3f6e85ad05ed062d1f8109b0d034c6a94692ea2d0fb5d4111
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  • Size of remote file: 1.06 MB
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Git LFS Details

  • SHA256: 129dc13b5e0b39e8b90080d2b41cf067f48847e8a7bd69cb645f8274d232848f
  • Pointer size: 132 Bytes
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Git LFS Details

  • SHA256: 74ccc6f31bf54eb1adc7fb33182bc466d740af80af67085b2885a89cc912a620
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  • Size of remote file: 1.38 MB
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Git LFS Details

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  • Pointer size: 132 Bytes
  • Size of remote file: 1.26 MB
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Git LFS Details

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  • Size of remote file: 1.02 MB
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Git LFS Details

  • SHA256: 1e8a7ab22033333e8445ec1506a3e8c72a8eb796ed723324a9baf13d45e1f8f5
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Git LFS Details

  • SHA256: b999254d7267cf711d8e847013eb011f62c14f6061c276b644718e4e23cc2dc3
  • Pointer size: 132 Bytes
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Git LFS Details

  • SHA256: 7c101de83b258316aa9afe5c5534ab8e0701548ce1be9d7da24428e4516b9550
  • Pointer size: 132 Bytes
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Git LFS Details

  • SHA256: a9a41f83f98f548a42851c4f42f9ee4ce10b5b73795c4029965418a1d82327fc
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  • Size of remote file: 1.04 MB
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Git LFS Details

  • SHA256: 2f25ddf65164a09c40044395176297b8c1b41ce9a792d647cb8e2e9de1f4ae01
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  • Size of remote file: 1.39 MB
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Git LFS Details

  • SHA256: 21abe8688c8186fdd3f905b0e67a4a84174975b37e523038184b2cfcf9bf0384
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  • Size of remote file: 1.23 MB
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Git LFS Details

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  • Pointer size: 132 Bytes
  • Size of remote file: 1.42 MB