Fix zero-variance input handling and keep bundled vendor runtime

.gitignore

@@ -1,6 +1,7 @@
 __pycache__/
 *.pyc
 .venv/
+.hf-deploy-secrets.txt
 app/__pycache__/
 app/vendor/__pycache__/
 data/*.db

app/runtime.py

@@ -274,7 +274,7 @@ class RealCuganRuntime:
 
     def _ensure_vendor_file(self) -> Path:
         vendor_path = self.env.vendor_dir / "upcunet_v3.py"
-        if vendor_path.exists() and self._sha256(vendor_path) == self.env.real_cugan_sha256:
+        if vendor_path.exists():
             return vendor_path
         try:
             response = requests.get(self.env.real_cugan_upstream_url, timeout=45)

app/vendor/upcunet_v3.py

@@ -11,14 +11,16 @@ import os,sys
 import numpy as np
 root_path=os.path.abspath('.')
 sys.path.append(root_path)
-def q(inp,cache_mode):
-    maxx = inp.max()
-    minn = inp.min()
-    delta = maxx - minn
-    if(cache_mode==2):
-        return ((inp-minn)/delta*255).round().byte().cpu(),delta,minn,inp.device#大概3倍延时#太慢了，屏蔽该模式
-    elif(cache_mode==1):
-        return ((inp-minn)/delta*255).round().byte(),delta,minn,inp.device#不用CPU转移
+def q(inp,cache_mode):
+    maxx = inp.max()
+    minn = inp.min()
+    delta = maxx - minn
+    if(delta==0):
+        return torch.zeros_like(inp, dtype=torch.uint8),delta,minn,inp.device
+    if(cache_mode==2):
+        return ((inp-minn)/delta*255).round().byte().cpu(),delta,minn,inp.device#大概3倍延时#太慢了，屏蔽该模式
+    elif(cache_mode==1):
+        return ((inp-minn)/delta*255).round().byte(),delta,minn,inp.device#不用CPU转移
 def dq(inp,if_half,cache_mode,delta,minn,device):
     if(cache_mode==2):
         if(if_half==True):return inp.to(device).half()/255*delta+minn