I can reproduce this with DynamoDB and S3. For example, this file as `template.json`:
```json
{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Transform": "AWS::Serverless-2016-10-31",
  "Resources": {
    "S3Setup": {
      "Type": "AWS::S3::Bucket",
      "Properties": {
        "BucketName": "testbucket"
      }
    }
  }
}
```
Apply using
`awslocal cloudformation create-stack --stack-name local --template-body file://template.json` -> 200 OK
Immediately followed by
`awslocal cloudformation create-change-set --stack-name local --change-set-name nochanges --template-body file://template.json` -> Error
Errors happen if stack has multiple objects and any one has no changes, which makes it impossible to update the stack via cloudformation.

Here's a DynamoDB example for which it happens as well:
```json
{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Transform": "AWS::Serverless-2016-10-31",
  "Resources": {
    "DynamoSample": {
      "Type": "AWS::DynamoDB::Table",
      "Properties": {
        "TableName": "ExampleTable",
        "AttributeDefinitions": [
          {
            "AttributeName": "name",
            "AttributeType": "S"
          }
        ],
        "KeySchema": [
          {
            "AttributeName": "name",
            "KeyType": "HASH"
          }
        ],
        "ProvisionedThroughput": {
          "ReadCapacityUnits": 1,
          "WriteCapacityUnits": 1
        }
      }
    }
  }
}
```

s3_client = aws_stack.connect_to_service('s3')
        value = b''
        if bucket_name != BUCKET_MARKER_LOCAL:
            value = s3_client.get_object(Bucket=bucket_name, Key=key_name)['Body'].read()
        return s3_models.FakeKey(name=key_name, value=value)
    s3_models.S3Backend.get_key = get_key
    
    def clean_json(resource_json, resources_map):