Spaces:

jordonpeter01
/

Diffusion70

Runtime error

App Files Files Community

jordonpeter01 commited on May 24, 2024

Commit

3f65faf

verified ·

1 Parent(s): 17abe49

Update app.py

Browse files

Files changed (1) hide show

app.py +71 -50

app.py CHANGED Viewed

@@ -2,54 +2,60 @@ import gradio as gr
 from random import randint
 from all_models import models
-def load_fn(models):
-    global models_load
-    models_load = {}
     for model in models:
-        if model not in models_load.keys():
-            try:
-                m = gr.load(f'models/{model}')
-            except Exception as error:
-                m = gr.Interface(lambda txt: None, ['text'], ['image'])
-            models_load.update({model: m})
-load_fn(models)
 num_models = 150
 default_models = models[:num_models]
 def extend_choices(choices):
-    return choices + (num_models - len(choices)) * ['NA']
-def update_imgbox(choices):
     choices_plus = extend_choices(choices)
-    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
-def gen_fn(model_str, prompt):
     if model_str == 'NA':
         return None
-    noise = str('') #str(randint(0, 99999999999))
-    return models_load[model_str](f'{prompt} {noise}')
 with gr.Blocks() as demo:
-    with gr.Tab('The Dream'):
-        txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
         gen_button = gr.Button('Generate up to 150 images in up to 3 minutes total')
-        stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
-        gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
         gr.HTML(
-        """
             <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
               <div>
                 <body>
@@ -58,27 +64,42 @@ with gr.Blocks() as demo:
                 </body>
               </div>
             </div>
-        """
-               )
         with gr.Row():
-            output = [gr.Image(label = m, min_width=512) for m in default_models]
-            current_models = [gr.Textbox(m, visible = False) for m in default_models]
             for m, o in zip(current_models, output):
-                gen_event = gen_button.click(gen_fn, [m, txt_input], o)
-                stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
         with gr.Accordion('Model selection'):
-            model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 755 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
             model_choice.change(update_imgbox, model_choice, output)
             model_choice.change(extend_choices, model_choice, current_models)
         with gr.Row():
             gr.HTML(
-    """
-        <div class="footer">
-        <p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier!
-        </p>
-    """
-)
-demo.queue(concurrency_count = 200)
-demo.launch()

 from random import randint
 from all_models import models
+# Função para carregar os modelos e armazená-los em um dicionário
+def load_models(models):
+    models_dict = {}
     for model in models:
+        try:
+            # Tente carregar o modelo e armazená-lo no dicionário
+            model_obj = gr.load(f'models/{model}')
+            models_dict[model] = model_obj
+        except Exception as e:
+            # Lidar com exceções ao carregar o modelo
+            print(f"Erro ao carregar o modelo {model}: {e}")
+            models_dict[model] = gr.Interface(lambda txt: None, ['text'], ['image'])
+    return models_dict
+# Carregar os modelos e armazená-los na variável global
+models_load = load_models(models)
 num_models = 150
 default_models = models[:num_models]
+# Função para estender as escolhas com 'NA' se necessário
 def extend_choices(choices):
+    return choices + ['NA'] * (num_models - len(choices))
+# Função para atualizar a caixa de imagens com base nas escolhas
+def update_imgbox(choices, output):
     choices_plus = extend_choices(choices)
+    for m, o in zip(choices_plus, output):
+        o.label = m
+        o.visible = (m != 'NA')
+# Função para gerar imagens com base no modelo e prompt selecionados
+def generate_images(model_str, prompt, negative_prompt):
     if model_str == 'NA':
         return None
+    noise = str(randint(0, 99999999999))
+    prompt_with_noise = f'{prompt} {noise}'
+    if negative_prompt:
+        prompt_with_noise += ' Negative'
+    return models_load[model_str](prompt_with_noise)
+# Interface Gradio
 with gr.Blocks() as demo:
+    with gr.Tab('The Dream'):
+        txt_input = gr.Textbox(label='Your prompt:', lines=4).style(container=False, min_width=1200)
+        negative_prompt = gr.Checkbox(label='Negative Prompt', value=False)
         gen_button = gr.Button('Generate up to 150 images in up to 3 minutes total')
+        stop_button = gr.Button('Stop', variant='secondary', interactive=False)
+        # Evento de clique para iniciar a geração de imagens
+        gen_button.click(lambda s: gr.update(interactive=True), None, stop_button)
         gr.HTML(
+            """
             <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
               <div>
                 <body>
                 </body>
               </div>
             </div>
+            """
+        )
         with gr.Row():
+            output = [gr.Image(label=m, min_width=512) for m in default_models]
+            current_models = [gr.Textbox(m, visible=False) for m in default_models]
             for m, o in zip(current_models, output):
+                # Evento de clique para gerar imagens para cada modelo selecionado
+                gen_event = gen_button.click(generate_images, [m, txt_input, negative_prompt], o)
+                # Evento de clique para parar a geração de imagens
+                stop_button.click(lambda s: gr.update(interactive=False), None, stop_button, cancels=[gen_event])
         with gr.Accordion('Model selection'):
+            model_choice = gr.CheckboxGroup(
+                models,
+                label=f'Choose up to {num_models} different models from the available options!',
+                value=default_models,
+                multiselect=True,
+                max_choices=num_models,
+                interactive=True,
+                filterable=False
+            )
+            # Evento de mudança para atualizar a caixa de imagens com base nas escolhas
             model_choice.change(update_imgbox, model_choice, output)
             model_choice.change(extend_choices, model_choice, current_models)
         with gr.Row():
             gr.HTML(
+                """
+                <div class="footer">
+                <p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier!
+                </p>
+                """
+            )
+    demo.queue(concurrency_count=200)
+    demo.launch()