Jeff850 commited on
Commit
77c4cce
1 Parent(s): b69d5af

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -19
app.py CHANGED
@@ -51,7 +51,6 @@ class calculateDuration:
51
  def generate_images(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, num_images, progress):
52
  generator = torch.Generator(device=device).manual_seed(seed)
53
  images = []
54
- seeds = []
55
 
56
  with calculateDuration("Generating images"):
57
  for _ in range(num_images):
@@ -66,9 +65,7 @@ def generate_images(prompt, trigger_word, steps, seed, cfg_scale, width, height,
66
  joint_attention_kwargs={"scale": lora_scale},
67
  ).images[0]
68
  images.append(image)
69
- seeds.append(seed)
70
-
71
- return images, seeds
72
 
73
  def run_lora(prompt, cfg_scale, steps, selected_repo, randomize_seed, seed, width, height, lora_scale, num_images, progress=gr.Progress(track_tqdm=True)):
74
  if not selected_repo:
@@ -93,20 +90,16 @@ def run_lora(prompt, cfg_scale, steps, selected_repo, randomize_seed, seed, widt
93
  if randomize_seed:
94
  seed = random.randint(0, MAX_SEED)
95
 
96
- images, seeds = generate_images(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, num_images, progress)
97
  pipe.to("cpu")
98
  pipe.unload_lora_weights()
99
- return images, seeds
100
 
101
  def update_selection(evt: gr.SelectData):
102
  index = evt.index
103
  selected_lora = loras[index]
104
  return f"Selected LoRA: {selected_lora['title']}", selected_lora["repo"]
105
 
106
- def display_seed(evt: gr.SelectData, seeds):
107
- index = evt.index
108
- return seeds[index]
109
-
110
  run_lora.zerogpu = True
111
 
112
  css = '''
@@ -157,7 +150,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
157
  )
158
  with gr.Column(scale=1): # Generated images on the right
159
  result = gr.Gallery(label="Generated Images")
160
- seed_display = gr.Number(label="Seed of Selected Image", value=0, interactive=False)
161
 
162
  with gr.Column():
163
  with gr.Row():
@@ -180,18 +173,12 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
180
  outputs=[selected_lora_text, selected_repo]
181
  )
182
 
183
- result.select(
184
- fn=display_seed,
185
- inputs=[result, gr.State()],
186
- outputs=[seed_display]
187
- )
188
-
189
  generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
190
  generate_button.click(
191
  run_lora,
192
  inputs=[prompt, cfg_scale, steps, selected_repo, randomize_seed, seed, width, height, lora_scale, num_images],
193
- outputs=[result, seed_display]
194
  )
195
 
196
  app.queue()
197
- app.launch()
 
51
  def generate_images(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, num_images, progress):
52
  generator = torch.Generator(device=device).manual_seed(seed)
53
  images = []
 
54
 
55
  with calculateDuration("Generating images"):
56
  for _ in range(num_images):
 
65
  joint_attention_kwargs={"scale": lora_scale},
66
  ).images[0]
67
  images.append(image)
68
+ return images
 
 
69
 
70
  def run_lora(prompt, cfg_scale, steps, selected_repo, randomize_seed, seed, width, height, lora_scale, num_images, progress=gr.Progress(track_tqdm=True)):
71
  if not selected_repo:
 
90
  if randomize_seed:
91
  seed = random.randint(0, MAX_SEED)
92
 
93
+ images = generate_images(prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, num_images, progress)
94
  pipe.to("cpu")
95
  pipe.unload_lora_weights()
96
+ return images, seed
97
 
98
  def update_selection(evt: gr.SelectData):
99
  index = evt.index
100
  selected_lora = loras[index]
101
  return f"Selected LoRA: {selected_lora['title']}", selected_lora["repo"]
102
 
 
 
 
 
103
  run_lora.zerogpu = True
104
 
105
  css = '''
 
150
  )
151
  with gr.Column(scale=1): # Generated images on the right
152
  result = gr.Gallery(label="Generated Images")
153
+ seed = gr.Number(label="Seed", value=0, interactive=False)
154
 
155
  with gr.Column():
156
  with gr.Row():
 
173
  outputs=[selected_lora_text, selected_repo]
174
  )
175
 
 
 
 
 
 
 
176
  generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
177
  generate_button.click(
178
  run_lora,
179
  inputs=[prompt, cfg_scale, steps, selected_repo, randomize_seed, seed, width, height, lora_scale, num_images],
180
+ outputs=[result, seed]
181
  )
182
 
183
  app.queue()
184
+ app.launch()