Update app.py

app.py

@@ -127,7 +127,7 @@ def generate_image(prompt, negative_prompt, trigger_word, steps, seed, cfg_scale
         ).images[0]
     return image
 
-def run_lora(prompt, negative_prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
+def run_lora(prompt, negative_prompt, cfg_scale, steps, selected_index, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
     if negative_prompt == "":
         negative_prompt = None
     if selected_index is None:
@@ -155,13 +155,8 @@ def run_lora(prompt, negative_prompt, cfg_scale, steps, selected_index, randomiz
         else:
             pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_weights=[1.0])
             pipe.load_lora_weights(lora_path, adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
-        
-    # Set random seed for reproducibility
-    with calculateDuration("Randomizing seed"):
-        if randomize_seed:
-            seed = random.randint(0, MAX_SEED)
     
-    image = generate_image(prompt, negative_prompt, trigger_word, steps, seed, cfg_scale, width, height, lora_scale, progress)
+    image = generate_image(prompt, negative_prompt, steps, seed, cfg_scale, width, height, lora_scale, progress)
     pipe.to("cpu")
     pipe.unload_lora_weights()
     return image, seed  
@@ -228,7 +223,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
                     height = gr.Slider(label="Height", minimum=256, maximum=1536, step=64, value=1024)
                 
                 with gr.Row():
-                    randomize_seed = gr.Checkbox(True, label="Randomize seed")
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
                     lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=2.0, step=0.01, value=0.85)
 
@@ -241,7 +235,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
     gr.on(
         triggers=[generate_button.click, prompt.submit],
         fn=run_lora,
-        inputs=[prompt, negative_prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale],
+        inputs=[prompt, negative_prompt, cfg_scale, steps, selected_index, seed, width, height, lora_scale],
         outputs=[result, seed]
     )