fix the zero cluster's torch version

.gitignore

@@ -0,0 +1 @@
+*.pyc

README.md

@@ -5,7 +5,7 @@ colorFrom: green
 colorTo: blue
 sdk: gradio
 sdk_version: 6.14.0
-python_version: "3.10"
+python_version: "3.10.13"
 app_file: app.py
 pinned: false
 ---
@@ -21,3 +21,5 @@ This Space:
 
 The RefDecoder checkpoint is downloaded at runtime from:
 `Arrokothwhi/RefDecoder` -> `I2V_Wan2.1/model.pt`
+
+This Space is intended for Gradio + ZeroGPU deployment.

app.py

@@ -7,6 +7,17 @@ from pathlib import Path
 import gradio as gr
 import imageio
 import numpy as np
+try:
+    import spaces
+except ImportError:
+    class _SpacesShim:
+        @staticmethod
+        def GPU(*args, **kwargs):
+            def decorator(fn):
+                return fn
+            return decorator
+
+    spaces = _SpacesShim()
 import torch
 from diffusers import AutoencoderKLWan as DiffusersWanVAE
 from diffusers import WanImageToVideoPipeline
@@ -188,6 +199,7 @@ def decode_with_refdecoder(latents, reference_frame):
     return video
 
 
+@spaces.GPU(duration=240)
 def generate_and_decode(image, prompt, seed, progress=gr.Progress(track_tqdm=False)):
     if image is None:
         raise gr.Error("Please upload an input image.")

requirements.txt

@@ -1,7 +1,7 @@
 gradio==6.14.0
 imageio==2.37.0
 numpy==1.26.4
-torch==2.7.0
+torch==2.7.1
 transformers==4.56.2
 diffusers==0.36.0
 accelerate==1.10.1
@@ -10,3 +10,4 @@ sentencepiece==0.2.1
 safetensors==0.6.2
 peft==0.18.0
 huggingface-hub==0.34.4
+spaces