kjgf

app.py

@@ -22,25 +22,23 @@ pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, times
 
 # Function to generate an image from text using diffusion
 @spaces.GPU
-def generate_image(prompt, neg_prompt):
+def generate_image(prompt):
     prompt += "no background, side view, minimalist shot"
     
     image = pipe(prompt, num_inference_steps=4, guidance_scale=0).images[0]
-    image2  = rembg.remove(image)
 
-    return image, image2
+    return image
 
 _TITLE = "Shoe Generator"
 with gr.Blocks(_TITLE) as ShoeGen:
     with gr.Row():
         with gr.Column():
             prompt = gr.Textbox(label="Enter a discription of a shoe")
-            neg_prompt = gr.Textbox(label="Enter a negative prompt", value="low quality, watermark, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo")
+            # neg_prompt = gr.Textbox(label="Enter a negative prompt", value="low quality, watermark, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo")
             button_gen = gr.Button("Generate Image")
         with gr.Column():
-            image = gr.Image(label="Generated Image")   
-            image2 = gr.Image(label="Generated Image without background", show_download_button=True) 
+            image = gr.Image(label="Generated Image", show_download_button=True)   
     
-    button_gen.click(generate_image, inputs=[prompt], outputs=[image, image2])
+    button_gen.click(generate_image, inputs=[prompt], outputs=[image])
 
 ShoeGen.launch()