Loader: accept both dtype/torch_dtype kwarg conventions (diffusers version drift)

spi/renderers/cogvideo.py

@@ -85,7 +85,11 @@ class CogVideoRenderer:
         from diffusers import CogVideoXPipeline
 
         dtype = getattr(torch, kwargs.get("dtype", "float16"))  # 2b requires fp16
-        pipe = CogVideoXPipeline.from_pretrained(self.model_id, dtype=dtype)
+        pipe = None
+        try:  # diffusers renamed dtype -> torch_dtype between versions; support both
+            pipe = CogVideoXPipeline.from_pretrained(self.model_id, dtype=dtype)
+        except (TypeError, ValueError):
+            pipe = CogVideoXPipeline.from_pretrained(self.model_id, torch_dtype=dtype)
         pipe.to(self.device or ("cuda" if torch.cuda.is_available() else "cpu"))
         return pipe