Make the casting in lists the same as regular inputs. (#8373)

Author: comfyanonymous

comfy/model_base.py

@@ -102,6 +102,13 @@ class ModelSampling(s, c):
     return ModelSampling(model_config)
 
 
+def convert_tensor(extra, dtype):
+    if hasattr(extra, "dtype"):
+        if extra.dtype != torch.int and extra.dtype != torch.long:
+            extra = extra.to(dtype)
+    return extra
+
+
 class BaseModel(torch.nn.Module):
     def __init__(self, model_config, model_type=ModelType.EPS, device=None, unet_model=UNetModel):
         super().__init__()
@@ -165,13 +172,13 @@ def _apply_model(self, x, t, c_concat=None, c_crossattn=None, control=None, tran
         extra_conds = {}
         for o in kwargs:
             extra = kwargs[o]
+
             if hasattr(extra, "dtype"):
-                if extra.dtype != torch.int and extra.dtype != torch.long:
-                    extra = extra.to(dtype)
-            if isinstance(extra, list):
+                extra = convert_tensor(extra, dtype)
+            elif isinstance(extra, list):
                 ex = []
                 for ext in extra:
-                    ex.append(ext.to(dtype))
+                    ex.append(convert_tensor(ext, dtype))
                 extra = ex
             extra_conds[o] = extra