Update app.py

app.py

@@ -9,13 +9,13 @@ pipeline = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dt
 
 @spaces.GPU(duration=190)
 def generate(prompt, negative_prompt, width, height, sample_steps):
-    return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt} FOR ANY REASON", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(127), guidance_scale=7).images[0]
+    return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt}", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(127), guidance_scale=7).images[0]
 
 with gr.Blocks() as interface:
         with gr.Column():
             with gr.Row():
                 with gr.Column():
-                    prompt = gr.Textbox(label="Prompt", info="What do you want?", value="Keanu Reeves holding an extravagant sign reading 'Hello, world!', 32k HDR, paparazzi", lines=4, interactive=True)
+                    prompt = gr.Textbox(label="Prompt", info="What do you want?", value="Keanu Reeves holding a neon sign reading 'Hello, world!', 32k HDR, paparazzi", lines=4, interactive=True)
                     negative_prompt = gr.Textbox(label="Negative Prompt", info="What do you want to exclude from the image?", value="ugly, low quality", lines=4, interactive=True)
                 with gr.Column():
                     generate_button = gr.Button("Generate")