cap resolution at 1280, 120s timeout, recommend 768 for free tier

app.py

@@ -91,14 +91,14 @@ def _collect_layer_gallery(saved_dir):
     return gallery
 
 
-@spaces.GPU(duration=60)
+@spaces.GPU(duration=120)
 def inference(image: Image.Image, resolution: int = 768, seed: int = 42):
     t_start = time.time()
     if image is None:
         raise gr.Error("Please upload an image.")
 
     # Snap to nearest multiple of 64 for clean latent dimensions
-    resolution = max(64, min(resolution, 1536))
+    resolution = max(64, min(resolution, 1280))
     resolution = round(resolution / 64) * 64
     _log(f"Resolution: {resolution}, Seed: {seed}, Image: {image.size}")
 
@@ -158,8 +158,9 @@ with gr.Blocks(title="See-through: Layer Decomposition") as demo:
         "Upload an anime character illustration to decompose it into "
         "fully-inpainted semantic layers with depth ordering, "
         "exported as a layered PSD file.\n\n"
-        "**Note:** This demo caps resolution at 1536 due to GPU constraints. "
-        "For higher resolutions, clone the [full repo](https://github.com/shitagaki-lab/see-through) "
+        "**Note:** 768 resolution is recommended for ZeroGPU free tier. "
+        "Higher resolutions may timeout or exhaust your daily quota. "
+        "For best quality, clone the [full repo](https://github.com/shitagaki-lab/see-through) "
         "and run `inference_psd.py` locally.\n\n"
         "**Disclaimer:** This demo uses a newer model checkpoint and "
         "may not fully reproduce identical results reported in the paper."
@@ -168,9 +169,9 @@ with gr.Blocks(title="See-through: Layer Decomposition") as demo:
         with gr.Column(scale=1):
             input_image = gr.Image(type="pil", label="Upload image (non-square images will be padded)")
             resolution = gr.Slider(
-                minimum=768, maximum=1536, value=768, step=64,
+                minimum=768, maximum=1280, value=768, step=64,
                 label="Resolution",
-                info="Higher = finer details but slower. 1280 is the default trained resolution. For resolutions above 1536, please use the full pipeline locally.",
+                info="768 recommended for ZeroGPU free tier. Higher resolutions may timeout or use up your daily quota quickly.",
             )
             seed = gr.Slider(minimum=0, maximum=9999, value=42, step=1, label="Seed")
             run_btn = gr.Button("Run", variant="primary")