tighten ZeroGPU duration from measured timings

app.py

@@ -260,9 +260,12 @@ def _estimate_duration(
     *args,
     **kwargs,
 ):
+    # Measured on ZeroGPU xlarge: 1 chunk x 20 steps = 147 s (~6.5 s/step + ~17 s
+    # of VAE encode/decode & anchor work). Keep this tight: xlarge costs 2x quota.
     chunks = int(num_chunks or 1)
     steps = int(num_inference_steps or 20)
-    return int(min(1500, 70 + chunks * (steps * 9.0 + 25)))
+    raw = 25 + chunks * 4 + chunks * (steps * 6.6 + 20)
+    return int(min(1500, raw * 1.12))
 
 
 @spaces.GPU(duration=_estimate_duration, size="xlarge")
@@ -432,9 +435,9 @@ with gr.Blocks(title="EverAnimate") as demo:
                 pose_video = gr.Video(label="Pose driving video", height=200)
                 face_video = gr.Video(label="Face driving video (512×512)", height=200)
             num_chunks = gr.Slider(
-                1, 8, value=2, step=1,
+                1, 6, value=2, step=1,
                 label="Chunks to generate",
-                info="Each chunk is 77 frames ≈ 2.9 s of video at 25 fps.",
+                info="Each chunk is 77 frames ≈ 2.9 s of video at 25 fps (~2.5 min of GPU each).",
             )
             run_btn = gr.Button("Animate", variant="primary")
             gr.Markdown(NOTE)