works hopefully

app.py

@@ -40,6 +40,9 @@ compel = Compel(
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 900
 
+
+
+
 # 追加: Simple long prompt processing function
 def process_long_prompt(prompt, negative_prompt=""):
     """Simple long prompt processing using Compel"""
@@ -78,8 +81,20 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
                     height=height,
                     generator=generator
                 ).images[0]
-                return output_image
-        
+                seed = seed - 1
+                output_image2 = pipe(
+                    prompt_embeds=conditioning[0:1],
+                    pooled_prompt_embeds=pooled[0:1],
+                    negative_prompt_embeds=conditioning[1:2],
+                    negative_pooled_prompt_embeds=pooled[1:2],
+                    guidance_scale=guidance_scale,
+                    num_inference_steps=num_inference_steps,
+                    width=width,
+                    height=height,
+                    generator=generator
+                ).images[0]
+                return output_image, output_image2
+
         # Fall back to standard processing
         output_image = pipe(
             prompt=prompt,
@@ -90,8 +105,18 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
             height=height,
             generator=generator
         ).images[0]
-        
-        return output_image
+        seed = seed - 1
+        output_image2 = pipe(
+            prompt=prompt,
+            negative_prompt=negative_prompt,
+            guidance_scale=guidance_scale,
+            num_inference_steps=num_inference_steps,
+            width=width,
+            height=height,
+            generator=generator
+        ).images[0]
+        return output_image, output_image2
+    
     except RuntimeError as e:
         print(f"Error during generation: {e}")
         # Return a blank image with error message
@@ -182,7 +207,7 @@ with gr.Blocks(css=css) as demo:
     run_button.click(
         fn=infer,
         inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
-        outputs=[result],
+        outputs=[result, result2],
 
     )