Upload 2 files

README.md

@@ -1,13 +1,13 @@
 ---
-title: ComfyUI Reactor Fast Face Swap HYPERSWAP
-emoji: 🌌
-colorFrom: indigo
-colorTo: gray
+title: ComfyUI Reactor Fast Face Swap HYPERSWAP (CPU)
+emoji: ☠
+colorFrom: yellow
+colorTo: green
 sdk: gradio
 app_file: app.py
 pinned: false
 license: mit
-short_description: ComfyUI Reactor Fast Face Swap HYPERSWAP 256!
+short_description: CPU = UNLIMIT (DUPLICATE this Space!)
 ---
 <div align="center">
 

app.py

@@ -161,7 +161,7 @@ loadimage = NODE_CLASS_MAPPINGS["LoadImage"]()
 reactorfaceswap = NODE_CLASS_MAPPINGS["ReActorFaceSwap"]()
 saveimage = NODE_CLASS_MAPPINGS["SaveImage"]()
 
-@spaces.GPU
+#@spaces.GPU
 def generate_image(source_image, target_image, target_index, swap_model, face_restore_model, restore_strength):
     with torch.inference_mode():
         loadimage_2 = loadimage.load_image(image=source_image)
@@ -193,52 +193,62 @@ def generate_image(source_image, target_image, target_index, swap_model, face_re
 
 if __name__ == "__main__":
     with gr.Blocks() as app:
-        # Заголовок
-        gr.Markdown("# ComfyUI Reactor Fast Face Swap Hyperswap")        
-
         with gr.Row():
             with gr.Column():
-                # Вложенный Row для групп
+                # Вложенный Row для групп (группы расположены горизонтально)
                 with gr.Row():
                     # Первая группа
                     with gr.Group():
-                        source_image = gr.Image(label="Source Image (Face)", type="filepath")
+                        source_image = gr.Image(label="Source (Face)", type="filepath")
                         swap_model = gr.Dropdown(
                             choices=["inswapper_128.onnx", "hyperswap_1a_256.onnx", "hyperswap_1b_256.onnx", "hyperswap_1c_256.onnx"],
                             value="hyperswap_1b_256.onnx",
                             label="Swap Model"
                         )
-                        face_restore_model = gr.Dropdown(choices=["none", "GPEN-BFR-512.onnx"], value="none", label="Face Restore Model")
-                        restore_strength = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Face Restore Strength")
-
-                    # Вторая группа (обратите внимание — она должна быть на том же уровне, что и первая)
+                        face_restore_model = gr.Dropdown(
+                            choices=["none", "GPEN-BFR-512.onnx"], 
+                            value="none", 
+                            label="Face Restore Model"
+                        )
+                        restore_strength = gr.Slider(
+                            minimum=0, 
+                            maximum=1, 
+                            step=0.05, 
+                            value=0.7, 
+                            label="Face Restore Strength"
+                        )
+                    
+                    # Вторая группа
                     with gr.Group():
-                        target_image = gr.Image(label="Target Image (Body)", type="filepath")
-                        # restore_strength = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Face Restore Strength")
-                        target_index = gr.Dropdown(choices=[0, 1, 2, 3, 4], value=0, label="Target Face Index")
+                        target_image = gr.Image(label="Target (Body)", type="filepath")
+                        target_index = gr.Dropdown(
+                            choices=[0, 1, 2, 3, 4], 
+                            value=0, 
+                            label="Target Face Index"
+                        )
                         gr.Markdown("Index_0 = Largest Face. To switch for another target face - switch to Index_1, Index_2, e.t.c")
-
-                # Кнопка генерации
-                generate_btn = gr.Button("Generate")
+                        generate_btn = gr.Button("Generate")  # Кнопка генерации
+            
+            with gr.Column():
+                output_image = gr.Image(label="Generated Image")  # Вывод изображения
+                
+        with gr.Row():
+            with gr.Column(scale=1):
                 gr.Markdown("***Hyperswap_1b_256.onnx is the best (in most cases) - but sometimes model produce FAIL swap (do not do any swapping). It's known inner bug.")
                 gr.Markdown("***Hyperswap models do not need Face Restorer - use it with None. Inswapper_128 need Face Restorer - use it with GPEN-BFR-512 at strenght 0.7-0.8.")
-                gr.Markdown("***Standard time of one generation - 23 sec per image.")
-                gr.Markdown("***Use Private window in your browser (this clear coockies) and SoftEther VPN (this change your IP) - for expand your limit.")
+                gr.Markdown("*** This Space uses only CPU. You have unlimited usage in HF Spaces on CPU.")
+                gr.Markdown("*** For avoiding queue - duplicate this space to your account (it's free). Top right corner - Three dots - Duplicate this Space. Make them Private. Enjoy!")
                 gr.Markdown(
                     "***ComfyUI Reactor Fast Face Swap Hyperswap running directly on Gradio. - "
                     "[How to convert your any ComfyUI workflow to Gradio]"
                     "(https://huggingface.co/blog/run-comfyui-workflows-on-spaces)"
                 )
-
-            with gr.Column():
-                # Вывод изображения
-                output_image = gr.Image(label="Generated Image")
-
-            # Связываем клик кнопки с функцией
-            generate_btn.click(
-                fn=generate_image,
-                inputs=[source_image, target_image, target_index, swap_model, face_restore_model, restore_strength],
-                outputs=[output_image]
-            )
-
+                
+                # Связываем клик кнопки с функцией
+                generate_btn.click(
+                    fn=generate_image,
+                    inputs=[source_image, target_image, target_index, swap_model, face_restore_model, restore_strength],
+                    outputs=[output_image]
+                )
+    
     app.launch(share=True)