Update app.py

app.py

@@ -119,7 +119,7 @@ def generate_image(prompt, negative_prompt, width, height, steps, seed, lora_sca
     with calculateDuration("Generating image"):
         # Generate image
         image = pipe(
-            prompt=f"{prompt} {trigger_word}",
+            prompt=f"{prompt}",
             negative_prompt=negative_prompt,
             num_inference_steps=steps,
             guidance_scale=cfg_scale,
@@ -138,17 +138,6 @@ def run_lora(prompt, negative_prompt, lora_scale, cfg_scale, steps, selected_ind
 
     selected_lora = loras[selected_index]
     lora_path = selected_lora["repo"]
-    trigger_word = selected_lora["trigger_word"]
-    if(trigger_word):
-        if "trigger_position" in selected_lora:
-            if selected_lora["trigger_position"] == "prepend":
-                prompt_mash = f"{trigger_word} {prompt}"
-            else:
-                prompt_mash = f"{prompt} {trigger_word}"
-        else:
-            prompt_mash = f"{trigger_word} {prompt}"
-    else:
-        prompt_mash = prompt
         
     # Load LoRA weights
     with calculateDuration(f"Loading LoRA weights for {selected_lora['title']}"):
@@ -167,7 +156,7 @@ def run_lora(prompt, negative_prompt, lora_scale, cfg_scale, steps, selected_ind
     #        pipe.load_lora_weights(lora_path, adapter_name=selected_lora["repo"], lora_scale=[1.0])
      #       pipe.set_adapters(["fast", selected_lora["repo"]], adapter_weights=[1.0, 1.0])
 
-    image = generate_image(prompt, lora_scale, negative_prompt, steps, seed, cfg_scale, width, height)
+    image = generate_image(prompt, width, height, steps, negative_prompt, seed, lora_scale, cfg_scale)
     pipe.to("cpu")
     pipe.unload_lora_weights()
     return image, seed  
@@ -246,7 +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, lora_scale, cfg_scale, steps, selected_index, seed, width, height],
+        inputs=[prompt, seed, width, height, steps, negative_prompt, lora_scale, cfg_scale, selected_index],
         outputs=[result, seed]
     )