Tweak memory inference calculations a bit.

comfy/model_base.py

@@ -164,12 +164,13 @@ class BaseModel(torch.nn.Module):
         self.inpaint_model = True
 
     def memory_required(self, input_shape):
-        area = input_shape[0] * input_shape[2] * input_shape[3]
         if comfy.model_management.xformers_enabled() or comfy.model_management.pytorch_attention_flash_attention():
             #TODO: this needs to be tweaked
-            return (area / (comfy.model_management.dtype_size(self.get_dtype()) * 10)) * (1024 * 1024)
+            area = max(input_shape[0], 3) * input_shape[2] * input_shape[3]
+            return (area * comfy.model_management.dtype_size(self.get_dtype()) / 60) * (1024 * 1024)
         else:
             #TODO: this formula might be too aggressive since I tweaked the sub-quad and split algorithms to use less memory.
+            area = input_shape[0] * input_shape[2] * input_shape[3]
             return (((area * 0.6) / 0.9) + 1024) * (1024 * 1024)