Update app.py

app.py

@@ -39,8 +39,12 @@ MAX_IMAGE_SIZE = 1216
 
     
 @spaces.GPU
-def infer(use_image, prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, image: PIL.Image.Image = None) -> PIL.Image.Image:
+#def infer(use_image, prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, image: PIL.Image.Image = None) -> PIL.Image.Image:
+def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
     # Check if the input image is a valid PIL Image and is not empty
+    use_image = False
+    image = None
+    
     if use_image and image is not None :
         width, height = image['composite'].size
         ratio = np.sqrt(1024. * 1024. / (width * height))
@@ -106,7 +110,7 @@ with gr.Blocks(css=css) as demo:
 
             run_button = gr.Button("Run", scale=0)
 
-        image = gr.ImageEditor(type="pil", image_mode="L", crop_size=(512, 512))
+        #image = gr.ImageEditor(type="pil", image_mode="L", crop_size=(512, 512))
         result = gr.Image(label="Result", show_label=False)
 
         use_image = gr.Checkbox(label="Use image", value=True)
@@ -166,7 +170,8 @@ with gr.Blocks(css=css) as demo:
 
     run_button.click(lambda x: None, inputs=None, outputs=result).then(
         fn=infer,
-        inputs=[use_image, prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps,image],
+        #inputs=[use_image, prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps,image],
+        inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
         outputs=[result]
     )