Fix negative prompts

app.py

@@ -103,18 +103,17 @@ with gr.Blocks(css=css) as demo:
             """,
             elem_id="intro",
         )
-        with gr.Row():
-            with gr.Row():
-                prompt = gr.Textbox(
-                    placeholder="Insert your prompt here:", scale=5, container=False
-                )
-                negative_prompt = gr.Textbox(
-                    placeholder="Insert your negative prompt here:", scale=5, container=False
-                )
-                generate_bt = gr.Button("Generate", scale=1)
+
+        prompt = gr.Textbox(
+            placeholder="Insert your prompt here:", scale=5, container=False
+        )
+        negative_prompt = gr.Textbox(
+            placeholder="Insert your negative prompt here:", scale=5, container=False
+        )
+        generate_bt = gr.Button("Generate", scale=1)
 
         image = gr.Image(type="filepath")
-        with gr.Accordion("Advanced options", open=False):
+        with gr.Accordion("Advanced options", open=True):
             guidance = gr.Slider(
                 label="Guidance", minimum=0.0, maximum=5, value=0.3, step=0.001
             )
@@ -122,33 +121,11 @@ with gr.Blocks(css=css) as demo:
             seed = gr.Slider(
                 randomize=True, minimum=0, maximum=12013012031030, label="Seed", step=1
             )
-        with gr.Accordion("Run with diffusers"):
-            gr.Markdown(
-                """## Running LCM-LoRAs it with `diffusers`
-            ```bash
-            pip install diffusers==0.23.0
-            ```
-            
-            ```py
-            from diffusers import DiffusionPipeline, LCMScheduler
-
-            pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-7").to("cuda") 
-            pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
-            pipe.load_lora_weights("latent-consistency/lcm-lora-sdv1-5") #yes, it's a normal LoRA
-
-            results = pipe(
-                prompt="The spirit of a tamagotchi wandering in the city of Vienna",
-                num_inference_steps=4,
-                guidance_scale=0.0,
-            )
-            results.images[0]
-            ```
-            """
-            )
 
-        inputs = [prompt, guidance, steps, seed]
+        inputs = [prompt, negative_prompt, guidance, steps, seed]
         generate_bt.click(fn=predict, inputs=inputs, outputs=image, show_progress=False)
         prompt.input(fn=predict, inputs=inputs, outputs=image, show_progress=False)
+        negative_prompt.input(fn=predict, inputs=inputs, outputs=image, show_progress=False)
         guidance.change(fn=predict, inputs=inputs, outputs=image, show_progress=False)
         steps.change(fn=predict, inputs=inputs, outputs=image, show_progress=False)
         seed.change(fn=predict, inputs=inputs, outputs=image, show_progress=False)