Update app.py

app.py

@@ -400,12 +400,22 @@ class WanInferencePipeline(nn.Module):
             h = height
             w = width
 
+        # step 1: numerator and denominator as ints
         num = args.max_tokens * 16 * 16 * 4
         den = h * w
-        L0 = num // den
-        L  = L0 - (L0 % 4)
-        if L < 4: L = 4
-        T  = L // 4
+        
+        # step 2: integer division
+        L0 = num // den  # exact floor division, no float in sight
+        
+        # step 3: make it ≡ 1 mod 4
+        diff = (L0 - 1) % 4
+        L  = L0 - diff
+        if L < 1:
+            L = 1  # or whatever your minimal frame count is
+        
+        # step 4: latent frames
+        T = (L + 3) // 4
+
 
         if self.args.i2v:
             if self.args.random_prefix_frames: