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app.py

@@ -77,13 +77,19 @@ def load_pipeline():
 @spaces.GPU(duration=30)
 def generate(cell_type, custom_prompt, cfg, steps, seed):
     """Generate a blood cell image. GPU is allocated for this function."""
+    import random
+
     pipeline = load_pipeline()
 
     prompt = custom_prompt.strip() if custom_prompt and custom_prompt.strip() else CELL_TYPES.get(cell_type, CELL_TYPES["Neutrophil"])
 
-    generator = torch.Generator(device="cuda")
-    if int(seed) >= 0:
-        generator.manual_seed(int(seed))
+    # Handle seed: -1 means truly random each time
+    if int(seed) < 0:
+        actual_seed = random.randint(0, 2**32 - 1)
+    else:
+        actual_seed = int(seed)
+
+    generator = torch.Generator(device="cuda").manual_seed(actual_seed)
 
     result = pipeline(
         prompt=prompt,
@@ -125,9 +131,9 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft(primary_hue="red")) as demo:
             )
 
             seed_box = gr.Number(
-                value=42,
+                value=-1,
                 label="Seed",
-                info="Random seed for reproducibility. Use -1 for random generation.",
+                info="Random seed for reproducibility. Use -1 for random generation each time.",
                 precision=0
             )