Updates

app.py

@@ -58,7 +58,7 @@ class calculateDuration:
 
 def update_selection(evt: gr.SelectData, width, height):
     selected_lora = loras[evt.index]
-    new_placeholder = f"Type a prompt for {selected_lora['title']}"
+    new_placeholder = f"{selected_lora['trigger_word']} {prompt.value}"
     lora_repo = selected_lora["repo"]
     updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo}) ✨"
     if "aspect" in selected_lora:
@@ -72,7 +72,7 @@ def update_selection(evt: gr.SelectData, width, height):
             width = 1024
             height = 1024
     return (
-        gr.update(placeholder=new_placeholder),
+        gr.update(value=new_placeholder),
         updated_text,
         evt.index,
         width,
@@ -117,7 +117,7 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
     ).images[0]
     return final_image
 
-def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
+def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
     if selected_index is None:
         raise gr.Error("You must select a LoRA before proceeding.")
     
@@ -199,7 +199,6 @@ with gr.Blocks() as demo:
             placeholder="Type your prompt here...",
             show_label=True,
         )
-        image_input = gr.Image(type="filepath", label="Image Input (Optional)")
 
     with gr.Row():
         generate = gr.Button("Generate", variant="primary")
@@ -215,11 +214,10 @@ with gr.Blocks() as demo:
         with gr.Column():
             steps = gr.Slider(minimum=1, maximum=100, value=28, step=1, label="Steps")
             cfg_scale = gr.Slider(minimum=1, maximum=20, value=3.5, step=0.1, label="CFG Scale")
-            lora_scale = gr.Slider(minimum=0, maximum=1, value=0.8, step=0.05, label="LoRA Scale")
+            lora_scale = gr.Slider(minimum=0, maximum=2, value=1, step=0.1, label="LoRA Scale")
         with gr.Column():
             width = gr.Slider(minimum=256, maximum=1024, value=512, step=64, label="Width")
             height = gr.Slider(minimum=256, maximum=1024, value=512, step=64, label="Height")
-            image_strength = gr.Slider(minimum=0, maximum=1, value=0.8, step=0.05, label="Image Strength")
 
     with gr.Row():
         randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -231,7 +229,7 @@ with gr.Blocks() as demo:
     # Event handlers
     gallery.select(update_selection, [width, height], [prompt, selected_lora, gr.State(), width, height])
     randomize_seed.change(lambda x: gr.update(visible=not x), randomize_seed, seed_input)
-    generate_event = generate.click(run_lora, inputs=[prompt, image_input, image_strength, cfg_scale, steps, gr.State(), randomize_seed, seed_input, width, height, lora_scale], outputs=[result, seed_output, progress_bar])
+    generate_event = generate.click(run_lora, inputs=[prompt, cfg_scale, steps, gr.State(), randomize_seed, seed_input, width, height, lora_scale], outputs=[result, seed_output, progress_bar])
     cancel.click(lambda: None, None, None, cancels=[generate_event])
 
 demo.queue().launch()