adding paper link and fixing cuda cpu problem

app.py

@@ -90,7 +90,10 @@ def predict(prompt, weights, seed, scale=7.5, steps=50):
         with torch.no_grad():
             has_cuda = torch.cuda.is_available()
             with autocast('cpu' if not has_cuda else 'cuda'):
-                generator = torch.Generator('cuda').manual_seed(int(seed))
+                if has_cuda:
+                    generator = torch.Generator('cuda').manual_seed(int(seed))
+                else:
+                    generator = torch.Generator().manual_seed(int(seed))
                 image_perpneg = pipe(prompt, guidance_scale=float(scale), generator=generator,
                             num_inference_steps=steps, weights=weights)["images"][0]
                 return image_perpneg
@@ -115,25 +118,25 @@ with app:
         """
         ### **<p align='center'>Demo created by Huangjie Zheng and Reza Armandpour</p>**.
         """
-    )    
-
+    )
+    
     with gr.Row():
         with gr.Column():
-            with gr.Tab(label="FUll prompt"):
-                gr.Markdown(
-                    "### **Provide a list of prompts and their weights separated by | **"
-                )
-                prompt = gr.Textbox(label="List of prompts:", show_label=True)
-                weights = gr.Textbox(
-                    label="List of weights:", show_label=True
-                )
-                seed = gr.Textbox(
-                    label="Seed:", show_label=True
-                )
-                scale = gr.Textbox(
-                    label="Guidance scale:", show_label=True
-                )                   
-                image_gen_btn = gr.Button(value="Generate")
+            # with gr.Tab(label="FUll prompt"):
+            gr.Markdown(
+                "### **Provide a list of prompts and their weights separated by | **"
+            )
+            prompt = gr.Textbox(label="List of prompts:", show_label=True)
+            weights = gr.Textbox(
+                label="List of weights:", show_label=True
+            )
+            seed = gr.Textbox(
+                label="Seed:", show_label=True
+            )
+            scale = gr.Textbox(
+                label="Guidance scale:", show_label=True
+            )                   
+            image_gen_btn = gr.Button(value="Generate")
 
         with gr.Column():
             img_output = gr.Image(
@@ -156,6 +159,9 @@ with app:
         inputs=[prompt, weights, seed, scale],
         outputs=[img_output],
     )
+    gr.Markdown("""
+    \n This is the repository for using Perp-Neg sampling with Stable Diffusion model, as presented in [Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.](https://Perp-Neg.github.i).
+    """)    
 
     gr.Markdown(
         """