cross check if two df have different values and print any if there

i have two df and i wanna check for the id if the value differs in both df if so i need to print those.

example:

df1 = |id |check_column1|
      |1|abc|
      |1|bcd|
      |2|xyz|
      |2|mno|
      |2|mmm|

df2 = 
      |id |check_column2|
      |1|bcd|
      |1|abc|
      |2|xyz|
      |2|mno|
      |2|kkk|

here the output should be just |2|mmm|kkk| but i am getting whole table as output since index are different

This is what i did

output = pd.merge(df1,df2, on= ['id'], how='inner')

event4 = output[output.apply(lambda x: x['check_column1'] != x['check_column2'], axis=1)]