multimodalart HF staff commited on
Commit
7d4e0fa
β€’
1 Parent(s): a72bb25

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -16
app.py CHANGED
@@ -23,20 +23,15 @@ pipe.transformer.to(memory_format=torch.channels_last)
23
  # pipe.enable_model_cpu_offload()
24
  clip_slider = CLIPSliderFlux(pipe, device=torch.device("cuda"))
25
 
26
-
27
  MAX_SEED = 2**32-1
28
 
29
  def convert_to_centered_scale(num):
30
- if num <= 0:
31
- raise ValueError("Input must be a positive integer")
32
-
33
  if num % 2 == 0: # even
34
  start = -(num // 2 - 1)
35
  end = num // 2
36
  else: # odd
37
  start = -(num // 2)
38
- end = num // 2
39
-
40
  return tuple(range(start, end + 1))
41
 
42
  @spaces.GPU(duration=200)
@@ -126,11 +121,6 @@ css='''
126
  #strip, #gif{max-height: 170px}
127
  '''
128
  examples = [["a dog in the park", "winter", "summer", 1.25], ["a house", "USA suburb", "Europe", 2], ["a tomato", "rotten", "super fresh", 2]]
129
- image_seq = gr.Image(label="Strip", elem_id="strip", height=65)
130
- output_image = gr.Image(label="Gif", elem_id="gif")
131
- post_generation_image = gr.Image(label="Generated Images")
132
- post_generation_slider = gr.Slider(minimum=-10, maximum=10, value=0, step=1)
133
- seed = gr.Slider(minimum=0, maximum=MAX_SEED, step=1, label="Seed", interactive=True, randomize=True)
134
 
135
  with gr.Blocks(css=css) as demo:
136
 
@@ -155,14 +145,14 @@ with gr.Blocks(css=css) as demo:
155
 
156
  with gr.Column():
157
  with gr.Group(elem_id="group"):
158
- post_generation_image.render()
159
- post_generation_slider.render()
160
  with gr.Row():
161
  with gr.Column(scale=4, min_width=50):
162
- image_seq.render()
163
 
164
  with gr.Column(scale=2, min_width=50):
165
- output_image.render()
166
 
167
  with gr.Accordion(label="Advanced options", open=False):
168
  interm_steps = gr.Slider(label = "Num of intermediate images", minimum=3, value=21, maximum=65, step=2)
@@ -179,7 +169,7 @@ with gr.Blocks(css=css) as demo:
179
  )
180
  with gr.Column():
181
  randomize_seed = gr.Checkbox(True, label="Randomize seed")
182
- seed.render()
183
 
184
  examples_gradio = gr.Examples(
185
  examples=examples,
 
23
  # pipe.enable_model_cpu_offload()
24
  clip_slider = CLIPSliderFlux(pipe, device=torch.device("cuda"))
25
 
 
26
  MAX_SEED = 2**32-1
27
 
28
  def convert_to_centered_scale(num):
 
 
 
29
  if num % 2 == 0: # even
30
  start = -(num // 2 - 1)
31
  end = num // 2
32
  else: # odd
33
  start = -(num // 2)
34
+ end = num // 2
 
35
  return tuple(range(start, end + 1))
36
 
37
  @spaces.GPU(duration=200)
 
121
  #strip, #gif{max-height: 170px}
122
  '''
123
  examples = [["a dog in the park", "winter", "summer", 1.25], ["a house", "USA suburb", "Europe", 2], ["a tomato", "rotten", "super fresh", 2]]
 
 
 
 
 
124
 
125
  with gr.Blocks(css=css) as demo:
126
 
 
145
 
146
  with gr.Column():
147
  with gr.Group(elem_id="group"):
148
+ post_generation_image = gr.Image(label="Generated Images")
149
+ post_generation_slider = gr.Slider(minimum=-10, maximum=10, value=0, step=1)
150
  with gr.Row():
151
  with gr.Column(scale=4, min_width=50):
152
+ image_seq = gr.Image(label="Strip", elem_id="strip", height=65)
153
 
154
  with gr.Column(scale=2, min_width=50):
155
+ output_image = gr.Image(label="Gif", elem_id="gif")
156
 
157
  with gr.Accordion(label="Advanced options", open=False):
158
  interm_steps = gr.Slider(label = "Num of intermediate images", minimum=3, value=21, maximum=65, step=2)
 
169
  )
170
  with gr.Column():
171
  randomize_seed = gr.Checkbox(True, label="Randomize seed")
172
+ seed = gr.Slider(minimum=0, maximum=MAX_SEED, step=1, label="Seed", interactive=True, randomize=True)
173
 
174
  examples_gradio = gr.Examples(
175
  examples=examples,