SEEDING

app.py

@@ -171,22 +171,22 @@ def remove_bkg(subject_image):
     return subject_image
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
-    # Ensure seed is a plain Python int and within bounds.
-    max_seed = int(MAX_SEED)
+    # UI Slider bounds are +/- 1_000_000 — clamp to these so Gradio doesn't reject outputs
+    UI_MAX_SEED = 1_000_000
+
     if randomize_seed:
-        seed = random.randint(0, max_seed)
-        return int(seed)
+        return random.randint(-UI_MAX_SEED, UI_MAX_SEED)
 
     try:
         # Some frontends may pass empty strings or None; coerce safely
         if seed is None or (isinstance(seed, str) and seed.strip() == ""):
-            return random.randint(0, max_seed)
+            return random.randint(-UI_MAX_SEED, UI_MAX_SEED)
         seed_int = int(seed)
     except Exception:
-        seed_int = random.randint(0, max_seed)
+        seed_int = random.randint(-UI_MAX_SEED, UI_MAX_SEED)
 
-    # Clamp to valid range
-    seed_int = max(0, min(seed_int, max_seed))
+    # Clamp to UI range
+    seed_int = max(-UI_MAX_SEED, min(seed_int, UI_MAX_SEED))
     return int(seed_int)
 
 @spaces.GPU(duration=600)
@@ -292,7 +292,7 @@ def create_image(input_image, prompt, scale, guidance_scale, num_inference_steps
             height=height,
             subject_image=input_image,
             subject_scale=scale,
-            generator=torch.manual_seed(seed),
+            generator=torch.manual_seed(int(int(seed) % 1_000_000)),
         ).images
     else:
         if style_mode == 'Makoto Shinkai style':
@@ -312,7 +312,7 @@ def create_image(input_image, prompt, scale, guidance_scale, num_inference_steps
             height=height,
             subject_image=input_image,
             subject_scale=scale,
-            generator=torch.manual_seed(seed),
+            generator=torch.manual_seed(int(int(seed) % 1_000_000)),
         ).images
     
     return images
@@ -359,6 +359,9 @@ def create_multi_character_scene(char_images, prompt, scale, guidance_scale, num
         
         try:
             if style_mode is None:
+                # Map seed to a non-negative integer within the UI range for torch
+                UI_MAX_SEED = 1_000_000
+                torch_seed = int(char_seed) % UI_MAX_SEED
                 scene = pipe(
                     prompt=char_prompt,
                     num_inference_steps=num_inference_steps,
@@ -367,7 +370,7 @@ def create_multi_character_scene(char_images, prompt, scale, guidance_scale, num
                     height=height,
                     subject_image=char_img,
                     subject_scale=scale * 0.7,  # Smaller scale for multi-character
-                    generator=torch.manual_seed(char_seed),
+                    generator=torch.manual_seed(int(torch_seed)),
                 ).images[0]
             else:
                 if style_mode == 'Makoto Shinkai style':
@@ -377,6 +380,8 @@ def create_multi_character_scene(char_images, prompt, scale, guidance_scale, num
                     lora_file_path = ghibli_style_lora_path
                     trigger = 'ghibli style'
 
+                UI_MAX_SEED = 1_000_000
+                torch_seed = int(char_seed) % UI_MAX_SEED
                 scene = pipe.with_style_lora(
                     lora_file_path=lora_file_path,
                     trigger=trigger,
@@ -387,11 +392,11 @@ def create_multi_character_scene(char_images, prompt, scale, guidance_scale, num
                     height=height,
                     subject_image=char_img,
                     subject_scale=scale * 0.7,
-                    generator=torch.manual_seed(char_seed),
+                    generator=torch.manual_seed(int(torch_seed)),
                 ).images[0]
-            
+
             generated_scenes.append(scene)
-            
+
             # Clear memory between generations
             torch.cuda.empty_cache()