Update app.py

app.py

@@ -7,8 +7,8 @@ from diffusers import StableDiffusionXLPipeline
 pipeline = StableDiffusionXLPipeline.from_pretrained("bobber/bigasp2").to("cuda")
 
 @spaces.GPU
-def generate(prompt, negative_prompt, width, height, sample_steps):
-    return pipeline(prompt=prompt, negative_prompt=negative_prompt, width=width, height=height, num_inference_steps=sample_steps).images[0]
+def generate(prompt, negative_prompt, width, height, sample_steps, guidance_scale):
+    return pipeline(prompt=prompt, negative_prompt=negative_prompt, width=width, height=height, guidance_scale=guidance_scale, num_inference_steps=sample_steps).images[0]
 
 with gr.Blocks() as interface:
         with gr.Column():
@@ -27,8 +27,10 @@ with gr.Blocks() as interface:
                             height = gr.Slider(label="Height", info="The height in pixels of the generated image.", value=1024, minimum=128, maximum=4096, step=64, interactive=True)
                         with gr.Column():
                             sampling_steps = gr.Slider(label="Sampling Steps", info="The number of denoising steps.", value=20, minimum=4, maximum=50, step=1, interactive=True)
+                        with gr.Column():
+                            guidance_scale = gr.Slider(label="Guidance Scale", info="Guidance scale.", value=2, minimum=1, maximum=10, step=0.1, interactive=True)
         
-        generate_button.click(fn=generate, inputs=[prompt, negative_prompt, width, height, sampling_steps], outputs=[output])
+        generate_button.click(fn=generate, inputs=[prompt, negative_prompt, width, height, sampling_steps, guidance_scale], outputs=[output])
 
 if __name__ == "__main__":
     interface.launch()